CN110490386B - An integrated energy scheduling method and an integrated energy scheduling system - Google Patents

Abstract

The present invention relates to an integrated energy dispatching method and an integrated energy dispatching system, which are applied to at least one interrelated integrated energy system, and the method includes: determining an energy supply scheme for outputting energy from each of the integrated energy systems based on minimizing operating costs ; Based on the energy supply scheme, determine an energy exchange scheme between any two integrated energy systems in at least one interrelated integrated energy system; perform energy scheduling for each of the integrated energy systems based on the energy exchange scheme. The invention can make the comprehensive energy systems complement each other and optimize together.

Description

An integrated energy scheduling method and an integrated energy scheduling system

technical field

The invention relates to the technical field of integrated energy system operation and control, in particular to an integrated energy scheduling method and an integrated energy scheduling system.

Background technique

Energy is the basis for the survival and development of modern society. As a new type of energy system, the Energy Internet comprehensively uses power electronics technology, information technology and intelligent management technology, and integrates a large number of distributed energy collection devices, distributed energy storage devices and Energy nodes such as new power networks, oil networks, and natural gas networks composed of various types of loads are interconnected to realize peer-to-peer exchange and sharing of energy in two-way flow.

Different from the traditional energy network, the Energy Internet emphasizes distribution, interconnection and intelligence. To realize the widespread application of the Energy Internet, it is necessary to provide a method that can establish a safe, reliable, intelligent and efficient energy trading system. However, the traditional integrated energy system analysis and control technology only focuses on the operation of a single integrated energy system, and cannot realize the coordinated dispatching control of multiple interconnected integrated energy systems.

Contents of the invention

Based on this, it is necessary to provide an integrated energy scheduling method and an integrated energy scheduling system for the problem of inconvenient energy exchange in multiple interconnected integrated energy systems.

An integrated energy scheduling method, applied to at least one integrated energy system that is interconnected, the method includes:

Determine the energy supply scheme for output energy of each integrated energy system based on the minimum operating cost;

Based on the energy supply scheme, determine an energy exchange scheme between any two integrated energy systems in at least one interrelated integrated energy system;

Energy scheduling is performed on each of the integrated energy systems based on the energy exchange scheme.

In one of the embodiments, the determination of the energy supply scheme for each output energy of the integrated energy system based on the minimum operating cost includes:

Establish a corresponding cost model for each integrated energy system based on minimizing operating costs;

Setting corresponding constraint conditions for the cost model;

Based on the constraints and the cost model, an energy supply scheme corresponding to the integrated energy system when minimizing operating costs is determined.

In one of the embodiments, the integrated energy system includes a combined heat and power system and a wind power system, and the combined heat and power system includes a boiler heating system;

The establishment of a corresponding cost model for each integrated energy system based on minimizing operating costs includes:

On the premise of meeting the user's energy demand, based on minimizing the operating cost, the following cost model is established:

为风机w在t时刻的可用容量，P_wt为风机w在t时刻的调度功率，γ_w为风机w的单位弃风成本。Among them, c is the serial number of the cogeneration unit, NC is the number of the cogeneration unit, P _ct and H _ct are the electric power and thermal power of the cogeneration unit c at time t, and F _c is the cost of the cogeneration unit function, H _at is the thermal power of the boiler, F _a is the cost function of the boiler; w is the number of the fan, NW is the number of the fan,

is the available capacity of wind turbine w at time t, P _wt is the dispatched power of wind turbine w at time t, and γ _w is the unit curtailment cost of wind turbine w.

In one of the embodiments, the determination of an energy exchange scheme between any two integrated energy systems in at least one integrated energy system that is related to each other includes:

Based on the stochastic collaborative decision-making model, the following optimal operation model of each comprehensive energy system is established:

和

为惩罚项，α_i-jt和β_i-jt代表惩罚系数，符号

代表阿达玛积函数，

为交换功率的参考值，P_i-jt代表交换功率的待优化变量，j代表综合能源系统的编号，Nd为综合能源系统的个数，P_i-jt代表功率由综合能源系统i流向综合能源系统j；

with

is the penalty item, α _i-jt and β _i-jt represent the penalty coefficient, and the symbol

represents the Hadamard product function,

is the reference value of the exchange power, P _i-jt represents the variable to be optimized for the exchange power, j represents the number of the integrated energy system, Nd is the number of the integrated energy system, and P _i-jt represents the power flowing from the integrated energy system i to the integrated energy System j;

以及惩罚系数

Set the initial value of the iteration index s to 1, and initialize the exchange power

and penalty factor

Solve the optimal operation model of each comprehensive energy system to obtain the optimal solution of the exchange power

When the optimal solution satisfies the preset convergence condition, the optimal solution is determined as the final energy exchange scheme for the integrated energy system i to the integrated energy system j.

In one of the embodiments, the determination of the energy exchange scheme between any two integrated energy systems in at least one integrated energy system that is interconnected further includes:

When the optimal solution does not meet the preset convergence condition, add 1 to the value of the iteration index s to solve the optimal operation model of each comprehensive energy system and obtain the optimal solution of the exchange power until the convergence condition is satisfied.

An integrated energy dispatching system, said system comprising:

at least one interrelated integrated energy system;

Block chain intelligent control platform, communicated with each integrated energy system;

The blockchain intelligent control platform performs energy scheduling on any two integrated energy systems based on the energy scheduling method described in any one of claims 1-5.

In the present invention, the energy sources of multiple interconnected integrated energy systems can be dispatched to each other, realizing distributed optimization and coordinated scheduling of multiple interconnected integrated energy systems, and solving the problem that integrated energy systems cannot complement each other and coordinate optimization; at the same time, The invention solves the technical problems of source-load mismatch and lack of backup faced by the integrated energy system by dispatching energy sources among multiple integrated energy systems.

Description of drawings

Fig. 1 is a flowchart of an integrated energy scheduling method in an embodiment;

Figure 2 is a schematic diagram of the coordinated dispatching system of the interconnected integrated energy system;

Fig. 3 is the daily load curve diagram of each integrated energy system;

Fig. 4 is the diagram 1 of the energy exchange of the integrated energy system;

Fig. 5 is the second diagram of the energy exchange of the integrated energy system;

Figure 6 is Figure 3 of the integrated energy system exchange.

detailed description

In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

As shown in Figure 1, the present invention provides an integrated energy scheduling method, which is applied to at least one integrated energy system that is related to each other, and the method includes:

Step 120, determining an energy supply scheme for each output energy of the integrated energy system based on the minimum operating cost;

Step 140, based on the energy supply scheme, determine an energy exchange scheme between any two integrated energy systems in at least one interrelated integrated energy system;

Step 160, perform energy scheduling for each of the integrated energy systems based on the energy exchange scheme.

In the present invention, the energy sources of multiple interconnected integrated energy systems can be dispatched to each other, realizing distributed optimization and coordinated scheduling of multiple interconnected integrated energy systems, and solving the problem that integrated energy systems cannot complement each other and coordinate optimization; at the same time, The invention solves the technical problems of source-load mismatch and lack of backup faced by the integrated energy system by dispatching energy sources among multiple integrated energy systems.

In an implementation of this embodiment, the determination of the energy supply scheme for each output energy of the comprehensive energy system based on the minimum operating cost includes:

Establish a corresponding cost model for each integrated energy system based on minimizing operating costs;

Setting corresponding constraint conditions for the cost model;

Based on the constraints and the cost model, an energy supply scheme corresponding to the integrated energy system when minimizing operating costs is determined.

In an implementation of this embodiment, the integrated energy system includes a combined heat and power system and a wind power system, and the combined heat and power system includes a boiler heating system;

The establishment of a corresponding cost model for each integrated energy system based on minimizing operating costs includes:

On the premise of meeting the user's energy demand, based on minimizing the operating cost, the following cost model is established:

为风机w在t时刻的可用容量，P_wt为风机w在t时刻的调度功率，γ_w为风机w的单位弃风成本。Among them, c is the serial number of the cogeneration unit, NC is the number of the cogeneration unit, P _ct and H _ct are the electric power and thermal power of the cogeneration unit c at time t, and F _c is the cost of the cogeneration unit function, H _at is the thermal power of the boiler, F _a is the cost function of the boiler; w is the number of the fan, NW is the number of the fan,

is the available capacity of wind turbine w at time t, P _wt is the dispatched power of wind turbine w at time t, and γ _w is the unit curtailment cost of wind turbine w.

It should be pointed out that the cost model in this embodiment is a stochastic chance constrained optimization model.

In an implementation of this embodiment, setting the corresponding constraints for the cost model may be:

H _bt ＝m _bt c _w (S _bt -E _bt )\*MERGEFORMAT (5)

分别表示建筑b的热需求和热损耗；T_ot表示环境温度；c_w表示水的比热容，；h和l分别表示管道的热传导系数和长度；k_b代表建筑与室外的热传导系数；s_b和c_b分别表示建筑b的表面积和热惯性；n表示热传递次数；T_bt表示建筑b的室内温度，

和T_bt 分别别是室内温度的上限和下限；

为电负荷的预测值，R_ct为热电联产机组c可提供的备用容量，P_bt代表电负荷的概率分布，LOLP_t为系统运行的失负荷概率上限，Pr{}表示求概率函数。Where b is the building number, Nb is the number of buildings; m _bt is the hot water flow into building b, m _it is the total hot water flow of integrated energy system i; S _bt and E _bt represent the water supply temperature and return water temperature; S _jh and E _jh represent the inlet water temperature and return water temperature of the integrated energy system i respectively; H _bt and

respectively represent the heat demand and heat loss of building b; T _ot represents the ambient temperature; c _w represents the specific heat capacity of water; h and l represent the heat transfer coefficient and length of the pipeline; k _b represents the heat transfer coefficient between the building and the outside; s _b and c and _b represent the surface area and thermal inertia of building b respectively; n represents the number of heat transfers; T _bt represents the indoor temperature of building b,

and T _bt are the upper and lower limits of the indoor temperature, respectively;

is the predicted value of electric load, R _ct is the reserve capacity that cogeneration unit c can provide, P _bt represents the probability distribution of electric load, LOLP _t is the upper limit of load loss probability of system operation, and Pr{} represents the probability function.

The above formulas (2) to (10) are constraints. Based on the above constraints, the above cost model can be solved to determine the energy supply scheme at the minimum cost. Thus, this embodiment realizes the distributed optimization of multiple interconnected integrated energy systems.

In this embodiment, the comprehensive energy system includes a combined heat and power system and a wind power system, and the combined heat and power system includes a boiler heating system. It can be understood that this is only a specific application of this embodiment, and this embodiment is not limited to a comprehensive energy system including multiple energy systems, and it is not limited to ventilation, geothermal energy systems, boiler systems, and the like. All energy applications can be scheduled in this embodiment.

Based on the energy supply scheme, each comprehensive energy system can provide corresponding energy. However, different integrated energy systems need to meet the needs of users while meeting the minimum operating cost. At this time, energy scheduling can be carried out between different integrated energy systems, and the energy scheduling can be completed while meeting the minimum operating cost.

In an implementation of this embodiment, the determination of an energy exchange scheme between any two integrated energy systems in at least one interrelated integrated energy system includes:

Based on the stochastic collaborative decision-making model, the following optimal operation model of each comprehensive energy system is established:

和

为惩罚项，α_i-jt和β_i-jt代表惩罚系数，符号Ο代表阿达玛积函数，

为交换功率的参考值，P_i-jt代表交换功率的待优化变量，j代表综合能源系统的编号，Nd为综合能源系统的个数，P_i-jt代表功率由综合能源系统i流向综合能源系统j；

with

is the penalty item, α _i-jt and β _i-jt represent the penalty coefficient, and the symbol Ο represents the Hadamard product function,

is the reference value of the exchange power, P _i-jt represents the variable to be optimized for the exchange power, j represents the number of the integrated energy system, Nd is the number of the integrated energy system, and P _i-jt represents the power flowing from the integrated energy system i to the integrated energy System j;

以及惩罚系数

Set the initial value of the iteration index s to 1, and initialize the exchange power

and penalty factor

Solve the optimal operation model of each comprehensive energy system to obtain the optimal solution of the exchange power

When the optimal solution satisfies the preset convergence condition, the optimal solution is determined as the final energy exchange scheme for the integrated energy system i to the integrated energy system j.

In another implementation of this embodiment, the determination of an energy exchange scheme between any two integrated energy systems in at least one integrated energy system that is related to each other further includes:

When the optimal solution does not meet the preset convergence condition, add 1 to the value of the iteration index s to solve the optimal operation model of each comprehensive energy system and obtain the optimal solution of the exchange power until the convergence condition is satisfied.

In this embodiment, for the above optimized operation model, the above electric power balance equations (9) and (10) can also be adjusted as:

In this embodiment, for formula (11), formulas (2) to (8), and adjusted formulas (12) and (13) may be used as constraints of formula (11).

以及惩罚系数

When solving formula (11), the initial value of the iteration index s can be set to 1, and the exchange power can be initialized

and penalty factor

After that, the optimal operation model of each integrated energy system can be solved to obtain the optimal solution of the exchange power

Based on the above optimization solution, it can be judged whether it is converged. If it is converged, the final result of collaborative optimization scheduling will be obtained. Otherwise, it will go to the next step. The convergence condition can be expressed by the following formula:

和

分别为第s-1次迭代过程和第s次迭代过程中，综合能源系统i的目标函数的值，ε₂为事先确定的间隙值。Among them, P _i-jt is the exchange power determined in the optimal operation model of integrated energy system i, P _{j-it is} the exchange power determined in the optimal operation model of integrated energy system j, and ε1 is the gap value determined in advance;

with

are the values of the objective function of the integrated energy system i in the s-1 iteration process and the s iteration process respectively, and ε ₂ is the gap value determined in advance.

If it does not converge, the value of s can be increased by 1, and the optimal operation model of each comprehensive energy system can be solved cyclically to obtain the optimal solution of the exchange power until the optimal solution meets the convergence condition.

This embodiment also provides an integrated energy scheduling system, the system comprising:

at least one interrelated integrated energy system;

Block chain intelligent control platform, communicated with each integrated energy system;

The blockchain intelligent control platform performs energy scheduling on any two integrated energy systems based on the energy scheduling method described in any one of claims 1-5.

As shown in Figure 2, the collaborative dispatching system of the interconnected integrated energy system takes the blockchain intelligent control platform as the core. Based on the stochastic collaborative decision-making model of interconnected integrated energy systems, the blockchain intelligent control platform can determine the energy exchange strategies of each integrated energy system. The energy transfer results will be recorded in the form of smart contracts, and at the specified time, each comprehensive energy system will exchange energy according to this result.

In Figure 2, DES represents the integrated energy system, i, j, k are the numbers of the interconnected integrated energy systems, P _i-jt , P _i-kt , P _j-kt are the exchange power of each integrated energy system. Solid lines represent energy flow, and dashed lines represent information flow. As shown in Figure 2, each integrated energy system can be self-optimized according to the stochastic chance constrained optimization model, and the regional chain intelligent control platform determines the exchange power of each integrated energy system based on the stochastic collaborative decision-making model.

In this example, a single integrated energy system is modeled, and a stochastic chance constrained optimization model of the integrated energy system is proposed to realize the scheduling of cogeneration units, boilers and other equipment in the integrated energy system to minimize operating costs. Then, using the concept of virtual power supply/load, the exchange power between integrated energy systems is simulated, and a stochastic collaborative decision-making model for multiple interconnected integrated energy systems is proposed. At the same time, this embodiment solves the stochastic collaborative decision-making model of the interconnected integrated energy system through a distributed algorithm to determine the optimal scheduling and exchange power of each integrated energy system. Based on the above-mentioned mathematical model, this embodiment develops the coordinated scheduling system of the interconnected comprehensive energy system with the blockchain intelligent control platform as the core. Based on the stochastic collaborative decision-making model of interconnected integrated energy systems, the blockchain intelligent control platform determines the energy exchange of each integrated energy system. The energy exchange results will be recorded in the form of smart contracts, and at the specified time, each integrated energy system will conduct energy exchanges according to this result. Thus, the present invention realizes the distributed optimization and coordinated scheduling of multiple interconnected integrated energy systems, solves the technical problem that integrated energy systems cannot achieve coordinated optimization, and at the same time alleviates the source-load mismatch and lack of Alternate technical questions.

This embodiment further describes this embodiment by using a specific implementation. Take this system as an example with three interconnected integrated energy systems, numbered DES1, DES2 and DES3 respectively. In each integrated energy system, the combined heat and power unit has a capacity of 12MW electric power and 25MW thermal power, a boiler capacity of 5MW, and a wind power capacity of 4MW. The three integrated energy systems supply power to residential loads, commercial loads, and industrial loads respectively, so the load curves of each integrated energy system are different. The daily load curves of each comprehensive energy system are shown in Figure 3.

Before each operating hour, each integrated energy system performs self-scheduling according to the stochastic chance constraint model, and the blockchain intelligent control platform determines the energy exchange between the integrated energy systems according to the stochastic collaborative decision-making model. For example, before 06:00, the blockchain intelligent control platform determines the energy exchange between the integrated energy systems at 06:00, specifically P _1-2t = 4.41MW, P _1-3t = 0.79MW, P _2-3t = 0.61MW. That is, at 06:00, DES1 will supply 4.41MW of energy to DES2, DES1 will supply 0.79MW of energy to DES3, and DES2 will supply 0.61MW of energy to DES3. The result of the energy exchange will be recorded in the blockchain, and at 06:00, the above exchange result will be executed. In the same way, the energy exchange results at each moment are calculated, stored, and executed in this way. The 24-hour energy exchange results are shown in Figures 4-6. Among them, Figure 4 is a schematic diagram of P _1-2t , that is, the exchange power from DES1 to DES2; Figure 5 is a schematic diagram of P _1-3t , that is, the exchange power from DES1 to DES3; Figure 6 is P _2-3t , that is, DES2 to DES3 Schematic diagram of the switching power.

The invention can excavate the demand complementarity of each integrated energy system, and solve the problem of mismatch between demand and supply faced by the optimization of a single integrated energy system; at the same time, the coordinated dispatching system can realize multiple integrated energy systems as backups for each other, improving the efficiency of the integrated energy system. High operational reliability, ensuring users' multi-energy needs, and avoiding problems such as power outages.

The various technical features of the above-mentioned embodiments can be combined arbitrarily. To make the description concise, all possible combinations of the various technical features in the above-mentioned embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, should be considered as within the scope of this specification.

The above-mentioned embodiments only express several implementation modes of the present invention, and the descriptions thereof are relatively specific and detailed, but should not be construed as limiting the patent scope of the invention. It should be pointed out that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent for the present invention should be based on the appended claims.

Claims (2)

1. An integrated energy scheduling method applied to at least one integrated energy system which is mutually associated, the method comprising:

determining an energy supply scheme for each of the integrated energy system output energy sources based on the minimized operating costs;

determining an energy exchange scheme between any two of the at least one energy integration system which are mutually related based on the energy supply scheme;

performing energy scheduling on each integrated energy system based on the energy exchange scheme;

the method for determining the energy exchange scheme between any two of the at least one associated integrated energy system comprises the following steps:

based on a random collaborative decision model, establishing the following optimized operation model of each comprehensive energy system:

wherein c is the number of the cogeneration units, NC is the number of the cogeneration units, P _ct And H _ct Electric power and thermal power respectively of the cogeneration unit c at time t, F _c As a function of the cost of the cogeneration unit, H _at For thermal power of boilers, F _a Is a cost function of the boiler; w is the number of the fans, NW is the number of the fans,

is the available capacity of fan w at time t, P _wt For the power, γ, scheduled for fan w at time t _w The unit wind abandon cost of the fan w is saved;

and

as a penalty term, α _i-jt And beta _i-jt Representing penalty factor, sign

Representing the function of the hadamard product,

for exchanging reference values of power, P _i-jt Representing the variable to be optimized of the exchange power, j representing the number of the integrated energy system, nd being the number of the integrated energy system, P _i-jt The representative power flows from the integrated energy system i to the integrated energy system j;

the constraint conditions corresponding to the cost model are as follows:

H _bt ＝m _bt c _w (S _bt -E _bt )

wherein b is the number of buildings, and Nb is the number of buildings; m is _bt Flow of hot water into building b, m _it Is the total hot water flow of the integrated energy system i; s. the _bt And E _bt Respectively representing the water supply temperature and the water return temperature of the building b; s. the _it And E _it Respectively representing the water inlet temperature and the water return temperature of the comprehensive energy system i; h _bt And

respectively representing the heat demand and heat loss of building b; t is _ot Represents the ambient temperature; c. C _w Represents the specific heat capacity of water; h and l respectively represent the heat transfer coefficient and the length of the pipeline; k is a radical of formula _b Representing the heat transfer coefficient between the building and the outdoor; s _b And c _b Respectively representing the surface area and thermal inertia of the building b; n represents the number of heat transfers; t is _bt Which represents the indoor temperature of the building b,

and _bt Tupper and lower limits of the indoor temperature, respectively;

for the prediction of the electrical load, R _ct Spare capacity, P, available for cogeneration unit c _bt Representing the probability distribution, LOLP, of the electrical load _t Representing the probability function for the upper limit of the load loss probability of system operation by Pr { };

setting the initial value of iteration index s to 1, initializing the exchange power

And a penalty factor

Solving the optimized operation model of each comprehensive energy system to obtain an optimized solution of the exchange power

Judging whether convergence is carried out or not based on the optimization solution, if so, obtaining a final result of the collaborative optimization scheduling, and if not, entering the next step; wherein the convergence condition is expressed by the following formula:

wherein, P _i-jt Exchange power, P, determined for an optimized operating model of an integrated energy system i _j-it Exchange power, epsilon, determined for an optimized operating model of an integrated energy system j ₁ Is a predetermined gap value; f. of _i ^s-1 And f _i ^s The value of the objective function of the integrated energy system i, epsilon, in the s-1 th iteration process and the s-th iteration process respectively ₂ Is a predetermined gap value;

if the convergence is not achieved, adding 1 to the value of s, circularly solving the optimized operation model of each comprehensive energy system, and obtaining an optimized solution of the exchange power until the optimized solution meets the convergence condition;

and when the optimization solution meets a preset convergence condition, determining the optimization solution as a final energy exchange scheme of the flow of the comprehensive energy system i to the comprehensive energy system j.

2. An integrated energy scheduling system, the system comprising:

at least one interrelated integrated energy system;

the intelligent control platform of the block chain is in communication connection with each comprehensive energy system;

the block chain intelligent control platform performs energy scheduling on any two comprehensive energy systems based on the energy scheduling method in claim 1.

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