Energy storage participated electric energy and auxiliary frequency modulation market combined clearing method

Abstract

The invention discloses an energy storage participated electric energy and auxiliary frequency modulation market joint clearing method, which comprises the following steps of S1, establishing a generator set start-stop scheme and an electric energy clearing model based on SCUC and SCED models, and constructing a power-on and power-off state combination of a generator set through an optimization algorithm; s2, adding energy storage charge and discharge power upper and lower limit constraints, an energy storage state charge (SOC) change relation, boundary conditions and charge and discharge state constraints on the basis of the electric energy clearing model, and clearing in combination with a traditional SCUC model; and S3, through joint clearing of the electric power spot market and the auxiliary service market, the comprehensive purchase cost of the electric quantity and the auxiliary frequency modulation service is minimized. According to the method, optimal scheduling can be more accurately carried out according to market price signals and demand conditions, so that the energy storage equipment can be charged and discharged at a proper time, the market efficiency is improved, and the cost is reduced to the greatest extent.

Description

Technical Field

[0001] The present application relates to the field of power system market research, and in particular to a joint clearing method for electric energy and auxiliary frequency regulation markets involving energy storage. Background Art

[0002] The current new energy storage market clearing method is a relatively new field compared to traditional methods, so there are relatively few related studies. SCUC (Security-Constrained Unit Commitment) and SCED (Security-Constrained Economic Dispatch) are two important models in power system dispatching, which are used to optimize the start-stop decision and economic dispatch of generator sets to ensure the safe and economic operation of the power system. Existing methods mainly focus on the flexible dispatching strategy of energy storage equipment and the cooperation mechanism between market participants. Related application research is still in the preliminary stage, and the overall systematicness and pertinence are relatively lacking. There are many shortcomings and deficiencies: some energy storage technologies have capacity limitations or charge and discharge rate limitations, which limit their flexibility and response speed in the market, so there is room for improvement. Summary of the invention

[0003] In view of the deficiencies of the prior art, the present application provides a method for jointly clearing the electric energy and auxiliary frequency regulation markets with the participation of energy storage, aiming to solve the above problems.

[0004] A joint clearing method for electric energy and auxiliary frequency regulation market with energy storage participation, comprising the following steps:

[0005] Step S1: Establish a generator start-stop plan and an electric energy clearing model based on the SCUC and SCED models, and construct a generator start-stop state combination through an optimization algorithm;

[0006] Step S2: On the basis of the electric energy clearing model, the upper and lower limit constraints of energy storage charging and discharging power, the state of charge (SOC) change relationship and boundary conditions of energy storage, and the charging and discharging state constraints are added, and the clearing is performed jointly with the traditional SCUC model;

[0007] Step S3: Minimize the comprehensive purchase cost of electricity and auxiliary frequency regulation services through joint clearing of the electricity spot market and the auxiliary service market.

[0008] Optionally, the objective function of the electric energy clearing model is to minimize the overall operating costs and startup costs of traditional equipment and energy storage equipment. Assuming that there are N units and M energy storage in the target system, consider its SCUC scheme in T time periods.

[0009]

[0010] Among them, C i,t (Q i,t )and is the operating cost and startup cost of unit i during period t; and They are the charging and discharging price and the corresponding charging and discharging amount of energy storage j in period t.

[0011] Optionally, the operating cost and startup cost of the unit are calculated as follows:

[0012]

[0013] Among them, λ i,t is the electricity price declared by unit i in the bidding section during period t, Q i,t is the reported output of the corresponding thermal power unit; u i,t is the start / stop decision Boolean variable of unit i during period t, is the start-up and shutdown cost of unit i.

[0014] Optionally, in step S2, the upper limits of the charge and discharge power of the energy storage unit j are respectively Its charge capacity (SOC) during the period t and t-1 is S j,t ,S j,t-1 , the charge and discharge decision Boolean variable is The charge and discharge efficiencies are The charging capacity at the initial and final time are Then we have:

[0015]

[0016] Optionally, step S3 specifically includes the following steps:

[0017] Step S3.1: Generate a generator start-stop plan through the SCUC model;

[0018] Step S3.2: Use the SCED model to jointly optimize clearing with the auxiliary frequency regulation market.

[0019] Optionally, the calculation formula for minimizing the comprehensive purchase cost of electricity and auxiliary frequency regulation services in step S3 is as follows:

[0020]

[0021] Where α j,t ,β j,t is the capacity quotation and power quotation of independent energy storage unit j at time t, which is reported by the provider and adjusted by the relevant government department according to the mileage capacity ratio of the corresponding period in the past; qj,t is the actual output of the independent energy storage unit j in the two-part electricity price spot market at any given moment.

[0022] Optionally, the comprehensive cost also needs to consider the opportunity cost of conventional thermal power units providing frequency regulation ancillary services.

[0023] Optionally, let the opportunity cost be ξ j,t , the calculation formula is as follows:

[0024]

[0025] Where ηj,t is the independent energy storage at time t π j Frequency modulation declared capacity; π j are the revenue of es independent energy storage unit j in the electricity spot market before and after deducting the frequency regulation declared capacity, It will be obtained from the electricity spot market before the ancillary services market clears; The same as above are the charging and discharging powers of the independent energy storage unit j at time t.

[0026] In summary, the present application includes at least one of the following beneficial technical effects:

[0027] 1. This method can more accurately optimize scheduling based on market price signals and demand conditions, allowing energy storage equipment to charge and discharge at the right time, thereby improving market efficiency and minimizing costs. Through the use of optimization algorithms, energy storage equipment can respond more flexibly to system demand and market signals, achieve rapid adjustment, help balance supply and demand, improve system flexibility and stability, take into account more uncertain factors, and perform risk management during the optimization process, reduce the risks faced by market participants, and improve the return on investment.

[0028] 2. By optimizing the operation mode of energy storage equipment, clean energy can be more easily integrated into the power system and the utilization rate of clean energy can be improved, which is conducive to promoting the development of clean energy and reducing carbon emissions.

[0029] 3. The new energy storage market transaction optimization algorithm will take capacity cost recovery into consideration. Through flexible management and reasonable allocation of energy storage equipment capacity, cost recovery and utilization can be achieved, thereby stimulating stronger market participation and investment willingness and promoting more effective energy storage market development.

[0030] 4. The optimization algorithm may combine the operating mechanisms of the spot market and the frequency regulation market to achieve information sharing and linkage scheduling between markets. Through the multi-party participation of energy storage equipment in different markets, it can better coordinate the operation of the power system and improve market efficiency and system stability. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a flowchart of this application. DETAILED DESCRIPTION

[0032] The following is combined with Figure 1 This application is described in further detail.

[0033] This application constructs a joint clearing model for the electric energy and auxiliary frequency regulation markets in which energy storage participates. On the basis of establishing an electric energy clearing model for safety-constrained unit combination and safety-constrained economic dispatch, it discusses the value performance and market impact of energy storage participating in the auxiliary frequency regulation market; and based on the benefits of independent new energy storage in various power markets, a capacity compensation mechanism for new energy storage is established.

[0034] The embodiment of the present application discloses a method for jointly clearing the electric energy and auxiliary frequency regulation market in which energy storage participates. Figure 1 , including the following steps:

[0035] Step S1: Establish a generator start-stop plan and an electric energy clearing model based on the SCUC and SCED models, and construct a generator start-stop state combination through an optimization algorithm;

[0036] Step S2: On the basis of the electric energy clearing model, the upper and lower limit constraints of energy storage charging and discharging power, the state of charge (SOC) change relationship and boundary conditions of energy storage, and the charging and discharging state constraints are added, and the clearing is performed jointly with the traditional SCUC model;

[0037] Step S3: Minimize the comprehensive purchase cost of electricity and auxiliary frequency regulation services through joint clearing of the electricity spot market and the auxiliary service market.

[0038] The objective function of the electric energy clearing model is to minimize the overall operating costs and startup costs of traditional equipment and energy storage equipment. Assuming that there are N units and M energy storage in the target system, consider its SCUC scheme in T time periods.

[0039]

[0040] Among them, C i,t (Q i,t )and is the operating cost and startup cost of unit i during period t; and They are the charging and discharging price and the corresponding charging and discharging amount of energy storage j in period t.

[0041] In the spot electricity market system in Anhui Province, a trading clearing period is divided every 15 minutes during the operation day, totaling 96 periods. The day before the operation day is designated as the bidding day. Market participants will submit trading declarations on the bidding day. After the clearing phase of the day-ahead electricity market, the total amount of electricity trading settlement on the operation day is defined.

[0042] The calculation formula for the unit's operating cost and startup cost is as follows:

[0043]

[0044] Among them, λ i,t is the electricity price declared by unit i in period t, Q i,t is the reported output of the corresponding thermal power unit; u i,t is the start / stop decision Boolean variable of unit i during period t, is the start-up and shutdown cost of unit i. When the start-up and shutdown cost is not considered, the SCUC model can be degenerated into the SCED model.

[0045] In step S2, the upper limits of the charge and discharge power of energy storage unit j are Its charge capacity (SOC) during the period t and t-1 is S j,t ,S j,t-1 , the charge and discharge decision Boolean variable is The charge and discharge efficiencies are The charging capacity at the initial and final time are Then we have:

[0046]

[0047]

[0048] Compared with traditional thermal power plants, new energy storage power stations have advantages such as better regulation capabilities and faster response speeds. Therefore, in addition to being able to participate in the clearing of the electric energy market, new energy storage can also participate in various auxiliary service markets, thereby obtaining more profits in the auxiliary service market than in the electric energy market. This patent mainly considers the participation of new energy storage in frequency regulation auxiliary services and realizes the joint clearing of the electricity spot market and the auxiliary service market. The objective function of this model will be transformed into minimizing the comprehensive purchase cost of electricity and auxiliary frequency regulation services. Here, SCUC is first run to generate the start and stop plan of the unit, and then the SCED model is used to jointly optimize the clearing with the auxiliary frequency regulation market.

[0049] Step S3 specifically includes the following steps:

[0050] Step S3.1: Generate a generator start-stop plan through the SCUC model;

[0051] Step S3.2: Use the SCED model to jointly optimize clearing with the auxiliary frequency regulation market.

[0052] The calculation formula for minimizing the comprehensive purchase cost of power and auxiliary frequency regulation services in step S3 is as follows:

[0053]

[0054] Where α j,t ,β j,t is the capacity quotation and power quotation of independent energy storage unit j at time t, which is reported by the provider and adjusted by the relevant government department according to the mileage capacity ratio of the corresponding period in the past; q j,t is the actual output of the independent energy storage unit j in the two-part electricity price spot market at any given moment.

[0055] The comprehensive cost also needs to consider the opportunity cost of conventional thermal power units providing frequency regulation auxiliary services. Due to the characteristics of time period coupling, energy storage facilities must consider the opportunity cost during the optimization process. Specifically, when energy storage facilities provide frequency regulation services, their bid-winning capacity in the electricity market may be reduced. However, these reduced bid-winning electricity can be adjusted to other time periods with similar market prices to reduce the overall impact on the bid-winning electricity during the entire optimization cycle. Therefore, compared with traditional thermal power units, the opportunity cost of energy storage facilities is lower than that of conventional thermal power units. The opportunity cost calculation method for participating in the frequency regulation auxiliary market is as follows: Assume that the opportunity cost is ξ j,t , the calculation formula is as follows:

[0056]

[0057] Where ηj,t is the independent energy storage at time t π j Frequency modulation declared capacity; π j are the revenue of es independent energy storage unit j in the electricity spot market before and after deducting the frequency regulation declared capacity, It will be obtained from the electricity spot market before the ancillary services market clears; The same as above are the charging and discharging powers of the independent energy storage unit j at time t.

[0058] This method can optimize the scheduling more accurately according to the market price signal and demand situation, so that the energy storage equipment can charge and discharge at the right time, thereby improving market efficiency and minimizing costs. Through the use of optimization algorithms, energy storage equipment can respond to system demand and market signals more flexibly, achieve rapid adjustment, help balance the supply and demand relationship, improve system flexibility and stability, consider more uncertain factors, and manage risks during the optimization process, reduce the risks faced by market participants, and improve the return on investment. By optimizing the operation mode of energy storage equipment, clean energy can be more easily integrated into the power system and the utilization rate of clean energy can be improved, which is conducive to promoting the development of clean energy and reducing carbon emissions. The new energy storage market transaction optimization algorithm will consider capacity cost recovery, and through flexible management and reasonable configuration of energy storage equipment capacity, cost recovery and utilization can be achieved, thereby stimulating stronger market participation and investment willingness, and promoting more effective energy storage market development. The optimization algorithm may combine the operating mechanisms of the spot market and the frequency modulation market to achieve information sharing and linkage scheduling between markets. Through the multi-party participation of energy storage equipment in different markets, the operation of the power system can be better coordinated to improve market efficiency and system stability.

[0059] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A joint clearing method for the electric energy and auxiliary frequency regulation market involving energy storage, characterized by: The following steps are involved: Step S1: Establish a generator start-stop plan and an electric energy clearing model based on the SCUC and SCED models, and construct a generator start-stop state combination through an optimization algorithm; Step S2: On the basis of the electric energy clearing model, the upper and lower limit constraints of energy storage charging and discharging power, the state of charge (SOC) change relationship and boundary conditions of energy storage, and the charging and discharging state constraints are added, and the clearing is performed jointly with the traditional SCUC model; Step S3: Minimize the comprehensive purchase cost of electricity and auxiliary frequency regulation services through joint clearing of the electricity spot market and the auxiliary service market.

2. A joint clearing method for the electric energy and auxiliary frequency regulation market involving energy storage according to claim 1, characterized in that: The objective function of the electric energy clearing model is to minimize the overall operating costs and startup costs of traditional equipment and energy storage equipment. Assuming that there are N units and M energy storage in the target system, consider its SCUC scheme in T time periods. Among them, C i,t (Q i,t )and is the operating cost and startup cost of unit i during period t; and They are the charging and discharging price and the corresponding charging and discharging amount of energy storage j in period t.

3. A joint clearing method for electric energy and auxiliary frequency regulation market involving energy storage according to claim 2, characterized in that: The calculation formula for the unit's operating cost and startup cost is as follows: Among them, λ i,t is the electricity price declared by unit i in period t, Q i,t is the reported output of the corresponding thermal power unit; u i,t is the start / stop decision Boolean variable of unit i during period t, is the start-up and shutdown cost of unit i.

4. The method for jointly clearing the electric energy and auxiliary frequency regulation market in which energy storage participates according to claim 1 is characterized by: In step S2, the upper limits of the charge and discharge power of energy storage unit j are Its charge capacity (SOC) during the period t and t-1 is S jt ,, , the charge and discharge decision Boolean variable is The charge and discharge efficiencies are The charging capacity at the initial and final time are Then we have:

5. The method for jointly clearing the electric energy and auxiliary frequency regulation market in which energy storage participates according to claim 1 is characterized by: Step S3 specifically includes the following steps: Step S3.1: Generate a generator start-stop plan through the SCUC model; Step S3.2: Use the SCED model to jointly optimize clearing with the auxiliary frequency regulation market.

6. The method for jointly clearing the electric energy and auxiliary frequency regulation market with energy storage participation according to claim 1 is characterized by: The calculation formula for minimizing the comprehensive purchase cost of power and auxiliary frequency regulation services in step S3 is as follows: Where α j,t ,β j,t is the capacity quotation and power quotation of independent energy storage unit j at time t, which is reported by the provider and adjusted by the relevant government department according to the mileage capacity ratio of the corresponding period in the past; q j,t is the actual output of the independent energy storage unit j in the two-part electricity price spot market at any given moment.

7. The method for jointly clearing the electric energy and auxiliary frequency regulation market with energy storage participation according to claim 1 is characterized by: The comprehensive cost also needs to take into account the opportunity cost of conventional thermal power units providing frequency regulation ancillary services.

8. The method for jointly clearing the electric energy and auxiliary frequency regulation market with energy storage participation according to claim 1 is characterized by: Let the opportunity cost be ξ j,t , the calculation formula is as follows: Where η j,t Independent energy storage at time t π j Frequency modulation declared capacity; π j are the revenue of es independent energy storage unit j in the electricity spot market before and after deducting the frequency regulation declared capacity, It will be obtained from the electricity spot market before the ancillary services market clears; The same as above are the charging and discharging powers of the independent energy storage unit j at time t.

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