CN101807798B - Section data integration method for power system safety and stability online analysis - Google Patents

Abstract

The invention belongs to the field of electric power system and automation technology, comprising the following steps: 1) calculating the influence factors of generators and busbars on the safety and stability of the power grid according to the safety and stability margin and mode of the previous power grid operation state; 2) for the power grid under the jurisdiction of dispatching (intranet), use the influence factors of generators and busbars on the safety and stability of the power grid to correct the weight of the quantity measurement, perform state estimation, and obtain the section data of the internal network for online analysis of safety and stability; 3) For power grids outside the dispatching jurisdiction (external network), by modifying the generator output and load in the external network, ensure that the power flow of the connection line between the internal and external network is basically consistent with the internal network power flow, and the generator output and The adjustment of the load is the smallest, and the adjusted external network section data is obtained; 4) The internal and external network section data are combined, and the balancing machine is set in the external network, and the section data that meets the security and stability of the internal network online analysis is obtained.

Description

The section data integration method that is used for power system safety and stability online analysis

Technical field

The invention belongs to electric power system and technical field of automation.

Background technology

The operation of power networks profile data is the data basis of power system safety and stability online analysis, and its accuracy directly has influence on power system safety and stability online analysis result's practicality.For control centre in the interconnected network transfer pipe subnet (referred to as: Intranet) carry out safety and stability online analysis, usually directly adopt the state estimation result of this control centre's EMS (EMS) for the profile data of Intranet, for this control centre transfer the outer electrical network of scope tube (referred to as: profile data outer net) also is employing state estimation result usually.The data acquisition time that is used for Power Network Status Estimation is inconsistent, larger, the different weights of the weights degree of correlation of measurement amount in the result of calculation of state estimation and the residual equation, the result of state estimation is different, the weights of measurement amount are larger, and state estimation result is just near corresponding measuring value.The degree of correlation of the running status of each generator and bus is different in the security and stability of electrical network and the electrical network, if the estimated accuracy on the running status of the large generator of electricity net safety stable impact and bus is high, then the analysis result of electricity net safety stable will be more accurate., need to the state estimation algorithm of routine be improved the precision of analyzing to improve electricity net safety stable for this reason.Equally also need to be optimized adjustment to the influence degree of safety and stability according to generator and bus for the outer net profile data.

Therefore, the present invention proposes the section data integration method for power system safety and stability online analysis, optimize and revise at the state estimation algorithm of routine and outer net profile data and to introduce generator and bus in the algorithm to the factor of influence of safety and stability, realization can improve the precision of electricity net safety stable on-line analysis towards the section data integration of electricity net safety stable on-line analysis.

Summary of the invention

The present invention seeks to: realize the section data integration towards the electricity net safety stable on-line analysis, improve the precision of electricity net safety stable on-line analysis.

The present invention adopts following technical scheme to realize, comprises the steps:

1) generator, bus calculate the factor of influence of electricity net safety stable

Stable for microvariations, according to the microvariations stable mode analysis result of previous operation of power networks state, adopt formula (1) calculating generator to the stable factor of influence of electrical network microvariations.

$G_{s,i}=1+\underset{j=1}{\overset{m}{\mathrm{\Σ}}}\frac{p_{a.\mathrm{ij}}(\mathrm{\σ}-{\mathrm{\σ}}_j)}{\mathrm{\σ}}---\left(1\right)$

Wherein, σ is for being used for filtering out from all low frequency oscillation modes the damping ratio threshold value of relatively serious pattern, m be damping ratio less than the pattern count of σ, σ _jBe the damping ratio of j pattern, p _A.ijIt is the participation factors of generator i in j the pattern.

For static voltage stability, according to the static voltage stability pattern analysis result of previous operation of power networks state, adopt formula (2) to calculate bus to the factor of influence of static voltage stability.

$B_{s.i}=1+\underset{j=1}{\overset{n}{\mathrm{\Σ}}}\frac{p_{v.\mathrm{ij}}(\mathrm{\λ}-{\mathrm{\λ}}_j)}{\mathrm{\λ}}---\left(2\right)$

Wherein, λ is for being used for filtering out from all voltage stabilization patterns the characteristic value threshold value of relatively serious pattern, n be characteristic value less than the pattern count of λ, λ _jBe the characteristic value of j pattern, p _V.ijIt is the participation factors of j pattern median generatrix i.

For transient rotor angle stability and transient voltage safe and stable, transient rotor angle stability nargin, pattern and transient voltage safe and stable nargin, the pattern of each forecast failure of the previous operation of power networks state of foundation adopt respectively formula (3) and (4) calculating generator and bus to the factor of influence of electrical network transient safe and stable.

$G_{t.i}=1+\underset{j=1}{\overset{k}{\mathrm{\Σ}}}\frac{\left|q_{a.\mathrm{ij}}\right|({\mathrm{\η}}_a-{\mathrm{\η}}_{a.j})}{{\mathrm{\η}}_a}---\left(3\right)$

$B_{t.i}=1+\underset{j=1}{\overset{l}{\mathrm{\Σ}}}\frac{q_{v,\mathrm{ij}}({\mathrm{\η}}_v-{\mathrm{\η}}_{v,j})}{{\mathrm{\η}}_v}---\left(4\right)$

Wherein, η _aFor being used for filtering out from all forecast failures the stability margin threshold value of the relative catastrophe failure of transient rotor angle stability, k is that transient rotor angle stability nargin is less than η _aThe forecast failure number, η _A.jBe the transient rotor angle stability nargin (1≤η after the fault j generation _A.j≤ 1, η _A.j＜0 expression merit angle unstability, η _A.j=0 expression merit angle neutrality, η _A.j＞0 expression angle stability), q _A.ijBe the participation factors of generator i in the transient rotor angle stability pattern of fault j (participation factors of Critical Group generator for just, the participation factors of remaining mass-sending motor is for negative); η _vFor being used for filtering out from all forecast failures the security margin threshold value of the relative catastrophe failure of transient voltage safe and stable, l is that transient voltage safe and stable nargin is less than η _vThe forecast failure number, η _V.jTransient voltage safe and stable nargin (1≤η of rear bus i occurs for fault j _V.j≤ 1, η _V.jDangerous or the unstability of＜0 expression voltage, η _V.j=0 expression voltage critical safety and stability, η _V.j＞0 expression voltage security is stable), q _V.ijParticipation factors for the transient voltage safe and stable pattern median generatrix i of fault j.

2) be stabilized in the Intranet section state estimation of line analysis towards intranet security

State estimation algorithm to Intranet is made amendment, and adopts generator and bus the factor of influence of electricity net safety stable to be come the weights of correction measurement, namely in the residual equation of state estimation, for generator measurement amount weights, adopts (k _sG _S.i+ k _tG _T.i) and reflect that the product of the weights of error in measurement replaces, for bus measurement amount weights, adopt (l _sB _S.i+ l _tB _T.i) replace k wherein with the product of weights of reflection error in measurement _s, k _t, l _sAnd l _tIt is set point.Again Intranet is carried out state estimation and calculate, can obtain the Intranet profile data for safety and stability online analysis;

3) the outer net profile data that is stabilized in line analysis towards intranet security is optimized and revised

Take into account generator, bus to the factor of influence of electricity net safety stable in the profile data to outer net is optimized the target function of adjustment, formula (5) is the meritorious model of optimizing and revising of outer net profile data, and the idle work optimization adjustment model is similar with it.

Wherein, M is the adjustable generator number of outer net, Δ P _iBe the active power adjustment amount of generator, N is the deferrable load bus number of outer net, Δ P _jThe active power adjustment amount of load, C _KiThat i platform generator is to the active po wer sensitivity of k bar interconnection, C _KjThat j load is to the active po wer sensitivity of k bar interconnection, Δ P _L.kMeritorious poor of corresponding interconnection before to be that k bar Intranet interconnection is meritorious adjust with the outer net profile data, L is the number of internal, external network interconnection.Adopt Novel Algorithm to calculate gaining merit and the reactive power adjustment amount of generator and load, and outer net section primary data is made amendment, namely obtain being stabilized in towards intranet security the outer net profile data of line analysis.

4) the internal, external network profile data that is stabilized in line analysis towards intranet security merges

Step 2) and step 3) the internal, external network profile data that is stabilized in line analysis towards intranet security that obtains is combined, and will be arranged on outer net for the balancing machine that the whole network trend is calculated, then be met the whole network section tidal current data that intranet security is stabilized in line analysis.

Additional disclosure be: when the electricity net safety stable on-line analysis system starts for the first time, need to initial value be set to the factor of influence of generator and bus.

Effect and advantage:

The present invention is according to the different characteristic of the degree of correlation of the running status of each generator in the security and stability of electrical network and the electrical network and bus, by online calculating generator and the bus factor of influence to electricity net safety stable, optimize and revise at the state estimation algorithm of routine and outer net profile data and to introduce generator and bus in the algorithm to the factor of influence of safety and stability, realized towards the section data integration of electricity net safety stable on-line analysis, can improve the precision of electricity net safety stable on-line analysis, solve towards the difficult problem of the section data integration of large electricity net safety stable on-line analysis.

Description of drawings

Fig. 1 is the flow chart of the inventive method.

Embodiment

Below in conjunction with accompanying drawing 1, the inventive method is described in detail.

Step 1 is described among Fig. 1 is electricity net safety stable on-line analysis system when starting, owing to there not being previous electricity net safety stable analysis result in the continuous running, so generator and bus need to artificially be set to the factor of influence of electricity net safety stable;

Step 2 is described among Fig. 1 be calculating generator, bus to the factor of influence of electricity net safety stable, comprise following 3 parts:

1) stable for microvariations, according to the microvariations stable mode analysis result of previous operation of power networks state, adopt formula (1) calculating generator to the stable factor of influence of electrical network microvariations.

$G_{s.i}=1+\underset{j=1}{\overset{m}{\mathrm{\Σ}}}\frac{p_{a,\mathrm{ij}}(\mathrm{\σ}-{\mathrm{\σ}}_j)}{\mathrm{\σ}}---\left(1\right)$

Wherein, σ is for being used for filtering out from all low frequency oscillation modes the damping ratio threshold value of relatively serious pattern, m be damping ratio less than the pattern count of σ, σ _jBe the damping ratio of j pattern, p _A.ijIt is the participation factors of generator i in j the pattern.

2) for static voltage stability, according to the static voltage stability pattern analysis result of previous operation of power networks state, adopt formula (2) to calculate bus to the factor of influence of static voltage stability.

$B_{s.i}=1+\underset{j=1}{\overset{n}{\mathrm{\Σ}}}\frac{p_{v.\mathrm{ij}}(\mathrm{\λ}-{\mathrm{\λ}}_j)}{\mathrm{\λ}}---\left(2\right)$

Wherein, λ is for being used for filtering out from all voltage stabilization patterns the characteristic value threshold value of relatively serious pattern, n be characteristic value less than the pattern count of λ, λ _jBe the characteristic value of j pattern, p _V.ijIt is the participation factors of j pattern median generatrix i.

3) for transient rotor angle stability and transient voltage safe and stable, transient rotor angle stability nargin, pattern and transient voltage safe and stable nargin, the pattern of each forecast failure of the previous operation of power networks state of foundation adopt respectively formula (3) and (4) calculating generator and bus to the factor of influence of electrical network transient safe and stable.

$G_{t.i}=1+\underset{j=1}{\overset{k}{\mathrm{\Σ}}}\frac{\left|q_{a.\mathrm{ij}}\right|({\mathrm{\η}}_a-{\mathrm{\η}}_{a.j})}{{\mathrm{\η}}_a}---\left(3\right)$

$B_{t.i}=1+\underset{j=1}{\overset{l}{\mathrm{\Σ}}}\frac{q_{v,\mathrm{ij}}({\mathrm{\η}}_v-{\mathrm{\η}}_{v.j})}{{\mathrm{\η}}_v}---\left(4\right)$

Wherein, η _aFor being used for filtering out from all forecast failures the stability margin threshold value of the relative catastrophe failure of transient rotor angle stability, k is that transient rotor angle stability nargin is less than η _aThe forecast failure number, η _A.jBe the transient rotor angle stability nargin (1≤η after the fault j generation _A.j≤ 1, η _A.j＜0 expression merit angle unstability, η _A.j=0 expression merit angle neutrality, η _A.j＞0 expression angle stability), q _A.ijBe the participation factors of generator i in the transient rotor angle stability pattern of fault j (participation factors of Critical Group generator for just, the participation factors of remaining mass-sending motor is for negative); η _vFor being used for filtering out from all forecast failures the security margin threshold value of the relative catastrophe failure of transient voltage safe and stable, l is that transient voltage safe and stable nargin is less than η _vThe forecast failure number, η _V.jTransient voltage safe and stable nargin (1≤η of rear bus i occurs for fault j _V.j≤ 1, η _V.jDangerous or the unstability of＜0 expression voltage, η _V.j=0 expression voltage critical safety and stability, η _V.j＞0 expression voltage security is stable), q _V.ijParticipation factors for the transient voltage safe and stable pattern median generatrix i of fault j.

What step 3 was described among Fig. 1 is the state estimation of the Intranet section being carried out being stabilized in towards intranet security line analysis, namely the state estimation algorithm of Intranet is made amendment, adopt generator and bus the factor of influence of electricity net safety stable to be come the weights of correction measurement, namely in the residual equation of state estimation, for generator measurement amount weights, adopt (k _sG _S.i+ k _tG _T.i) and reflect that the product of the weights of error in measurement replaces, for bus measurement amount weights, adopt (l _sB _S.i+ l _tB _T.i) replace k wherein with the product of weights of reflection error in measurement _s, k _t, l _sAnd l _tIt is set point.Again Intranet is carried out state estimation and calculate, can obtain the Intranet profile data for safety and stability online analysis;

What step 4 was described among Fig. 1 is that the outer net section is carried out being stabilized in optimizing and revising of line analysis towards intranet security, namely in being optimized the target function of adjustment, the profile data to outer net takes into account generator, bus to the factor of influence of electricity net safety stable, formula (5) is the meritorious model of optimizing and revising of outer net profile data, and the idle work optimization adjustment model is similar with it.

Wherein, M is the adjustable generator number of outer net, Δ P _iBe the active power adjustment amount of generator, N is the deferrable load bus number of outer net, Δ P _jThe active power adjustment amount of load, C _KiThat i platform generator is to the active po wer sensitivity of k bar interconnection, C _KjThat j load is to the active po wer sensitivity of k bar interconnection, Δ P _L.kMeritorious poor of corresponding interconnection before to be that k bar Intranet interconnection is meritorious adjust with the outer net profile data, L is the number of internal, external network interconnection.Adopt Novel Algorithm to calculate gaining merit and the reactive power adjustment amount of generator and load, and outer net section primary data is made amendment, namely obtain being stabilized in towards intranet security the outer net profile data of line analysis.

Step 5 is described among Fig. 1 be internally, the net profile data carries out being stabilized in towards intranet security the merging of line analysis, namely step 3) and step 4) the internal, external network profile data that is stabilized in line analysis towards intranet security that obtains is combined, and will be arranged on outer net for the balancing machine that the whole network trend is calculated, then be met the whole network section tidal current data that intranet security is stabilized in line analysis.

Claims (5)

1. A cross-sectional data integration method for on-line analysis of power system security and stability, including the following steps: 1) According to the safety and stability margin and mode of the previous power grid operation state, calculate the influence factors of the generator and the busbar on the safety and stability of the power grid; 2) For the power grid under the jurisdiction of a certain dispatching center in the interconnected power grid, that is, the internal network, the influence factors of the generator and the busbar on the safety and stability of the power grid are used to correct the weight of the quantity measurement, and the state estimation is performed to obtain the safety and stability online analysis. Intranet section data; 3) For the power grid outside the jurisdiction of the dispatching center, that is, the external network, by modifying the output and load of the generators in the external network, it is ensured that the power flow of the connection line between the internal and external networks is consistent with the internal network power flow, and the power flow of the generator and After the influence factor of the bus bar on the safety and stability of the power grid, the adjustment amount of the generator output and load is the smallest, and the adjusted external network section data is obtained; 4) Combine the section data of the internal and external networks, and set the balancing machine used for power flow calculation in the external network, and then obtain the cross-sectional power flow data that meets the security and stability of the internal network for online analysis. 2. the section data integration method that is used for power system safety and stability online analysis according to claim 1, is characterized in that, in the step 1), generator and busbar comprise to the calculation step of the influence factor of power grid safety and stability; For small-disturbance stability, according to the analysis results of the small-disturbance stability mode in the previous power grid operation state, formula (1) is used to calculate the influence factor of the generator on the small-disturbance stability of the power grid; ${\mathrm{<span\; class="notranslate">\; G</span>}}_{\mathrm{<span\; class="notranslate">\; the\; s</span>}<span\; class="notranslate">\; .</span>\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; +</span>\underset{\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; m</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}}\frac{{\mathrm{<span\; class="notranslate">\; p</span>}}_{\mathrm{<span\; class="notranslate">\; a</span>}<span\; class="notranslate">\; .</span>\mathrm{<span\; class="notranslate">\; ij</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; \&sigma;</span>}<span\; class="notranslate">\; -</span>{\mathrm{<span\; class="notranslate">\; \&sigma;</span>}}_{\mathrm{<span\; class="notranslate">\; j</span>}}<span\; class="notranslate">\; )</span>}{\mathrm{<span\; class="notranslate">\; \&sigma;</span>}}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span>$ where σ is the damping ratio threshold used to filter out relatively severe modes from all low-frequency oscillation modes, m is the number of modes with damping ratios smaller than σ, σ _j is the damping ratio of the jth mode, and p _a.ij is the Participation factor of generator i in j modes; For static voltage stability, according to the analysis results of the static voltage stability mode of the previous power grid operation state, formula (2) is used to calculate the influence factor of the bus on the static voltage stability; ${\mathrm{<span\; class="notranslate">\; B</span>}}_{\mathrm{<span\; class="notranslate">\; the\; s</span>}<span\; class="notranslate">\; .</span>\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; +</span>\underset{\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; no</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}}\frac{{\mathrm{<span\; class="notranslate">\; p</span>}}_{\mathrm{<span\; class="notranslate">\; v</span>}<span\; class="notranslate">\; .</span>\mathrm{<span\; class="notranslate">\; ij</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; \&lambda;</span>}<span\; class="notranslate">\; -</span>{\mathrm{<span\; class="notranslate">\; \&lambda;</span>}}_{\mathrm{<span\; class="notranslate">\; j</span>}}<span\; class="notranslate">\; )</span>}{\mathrm{<span\; class="notranslate">\; \&lambda;</span>}}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 2</span>}<span\; class="notranslate">\; )</span>$ where λ is the eigenvalue threshold used to filter out relatively severe modes from all voltage stable modes, n is the number of modes with eigenvalues smaller than λ, _λj is the eigenvalue of the jth mode, and p _v.ij is the eigenvalue of the jth mode Participation factor of bus i in j modes; For transient power angle stability and transient voltage safety and stability, according to the transient power angle stability margin, mode and transient voltage safety and stability margin and mode of each expected fault in the previous power grid operation state, formula (3) is used respectively and (4) calculate the influence factors of the generator and the busbar on the transient safety and stability of the power grid; ${\mathrm{<span\; class="notranslate">\; G</span>}}_{\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; .</span>\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; +</span>\underset{\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; k</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}}\frac{<span\; class="notranslate">\; |</span>{\mathrm{<span\; class="notranslate">\; q</span>}}_{\mathrm{<span\; class="notranslate">\; a</span>}<span\; class="notranslate">\; .</span>\mathrm{<span\; class="notranslate">\; ij</span>}}<span\; class="notranslate">\; |</span><span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; \&eta;</span>}}_{\mathrm{<span\; class="notranslate">\; a</span>}}<span\; class="notranslate">\; -</span>{\mathrm{<span\; class="notranslate">\; \&eta;</span>}}_{\mathrm{<span\; class="notranslate">\; a</span>}<span\; class="notranslate">\; .</span>\mathrm{<span\; class="notranslate">\; j</span>}}<span\; class="notranslate">\; )</span>}{{\mathrm{<span\; class="notranslate">\; \&eta;</span>}}_{\mathrm{<span\; class="notranslate">\; a</span>}}}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 3</span>}<span\; class="notranslate">\; )</span>$ ${\mathrm{<span\; class="notranslate">\; B</span>}}_{\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; +</span>\underset{\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; l</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}}\frac{{\mathrm{<span\; class="notranslate">\; q</span>}}_{\mathrm{<span\; class="notranslate">\; v</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; ij</span>}}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; \&eta;</span>}}_{\mathrm{<span\; class="notranslate">\; v</span>}}<span\; class="notranslate">\; -</span>{\mathrm{<span\; class="notranslate">\; \&eta;</span>}}_{\mathrm{<span\; class="notranslate">\; v</span>}<span\; class="notranslate">\; .</span>\mathrm{<span\; class="notranslate">\; j</span>}}<span\; class="notranslate">\; )</span>}{{\mathrm{<span\; class="notranslate">\; \&eta;</span>}}_{\mathrm{<span\; class="notranslate">\; v</span>}}}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 4</span>}<span\; class="notranslate">\; )</span>$ Among them, η _a is the stability margin threshold value used to filter out the relatively serious faults of transient power angle stability from all expected faults, k is the number of expected faults whose transient power angle stability margin is less than η _a , and η _aj is the fault The transient power angle stability margin after the occurrence of j, where -1≤η _aj ≤1, η _aj <0 means the power angle is unstable, η _aj =0 means the power angle is critically stable, and η _aj >0 means the power angle is stable , q _a.ij is the _{participation} factor of generator i in the transient power angle stability mode of fault j, where the participation factor of the critical group generator is positive, and the participation factor of the remaining group generators is negative; Filter out the safety and stability margin threshold value of transient voltage safety and stability relative to severe faults from the fault, l is the expected number of faults whose safety and stability margin of transient voltage is less than η _v , η _vj is the transient voltage of bus i after the occurrence of fault j Safety and stability margin, where -1≤η _vj ≤1, η _vj <0 means the voltage is unsafe or unstable, η _vj = 0 means the voltage is critically safe and stable, η _vj >0 means the voltage is safe and stable, q _v.ij is the participation factor of bus i in the transient voltage safety and stability mode of fault j. 3. The cross-section data integration method for power system safety and stability on-line analysis according to claim 1, characterized in that, step 2) modifies the state estimation algorithm of the internal network, and uses generators and busbars to analyze the safety and stability of the power grid. The influence factor is used to correct the weight of quantity measurement, that is, in the residual equation of state estimation, for the weight of generator quantity measurement, the product of (k _s G _si +k _t G _ti ) and the weight reflecting the measurement error is used Instead, for the bus quantity measurement weight, the product of (l _s B _si +l _t B _ti ) and the weight reflecting the measurement error is used instead, where k _s , k _t , l _s and l _t are set value. 4. The cross-sectional data integration method for power system safety and stability online analysis according to claim 1, characterized in that, step 3) takes generator and bus pair into consideration in the objective function for optimizing and adjusting the cross-sectional data of the external network Factors affecting the security and stability of the power grid, formula (5) is the active power optimization adjustment model of the section data of the external network;

Among them, M is the number of adjustable generators in the external network, ΔP _i is the active power adjustment amount of the generator, N is the adjustable load bus number of the external network, ΔP _j is the active power adjustment amount of the load, and C _ki is the i-th generator The active power sensitivity of the machine to the k-th tie-line, C _kj is the active power sensitivity of the j-th load to the k-th tie-line, ΔP _lk is the corresponding tie-line before the adjustment of the active power of the k-th internal network tie-line and the data of the external network section Active power difference, L is the number of internal and external network connection lines. 5. The section data integration method for on-line analysis of power system security and stability according to claim 1, characterized in that step 4) combines the section data of the internal network and the external network, and will be used for power flow calculation of the entire network If the balancing machine is set on the external network, the cross-sectional power flow data of the entire network can be obtained to meet the security and stability of the internal network.

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