Power frequency modulation and peak regulation market coordination clearing method and system

Abstract

The invention discloses a power frequency modulation and peak regulation market coordinated clearing method and system, and belongs to the technical field of power market clearing. The method comprises the following steps: acquiring power frequency modulation market data and power peak regulation market data; generating a frequency modulation market clearing model according to the power frequency modulation market data, and solving the frequency modulation market clearing model to obtain frequency modulation bid-winning capacity; the frequency modulation bid-winning capacity comprises thermal power generating unit frequency modulation bid-winning capacity and energy storage frequency modulation bid-winning capacity; according to the electric power peak regulation market data and the frequency modulation bid-winning capacity of the thermal power generating unit, calculating a regional peak regulation gap; according to the power peak regulation market data, the energy storage frequency modulation bid-winning capacity and the regional peak regulation gap, generating a peak regulation market clearing model; and solving the peak regulation market clearing model to obtain a coordinated clearing result of the power frequency modulation and peak regulation market. The problem that the regulation potential of various regulation resources cannot be fully excited due to insufficient coordination in the clearing process of the power frequency modulation market and the peak regulation market can be solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power market clearing, in particular to a power frequency regulation and peak regulation market coordinated clearing method and system. BACKGROUND

[0002] The power frequency regulation market is an important part of the power spot market system, and its core goal is to optimize the allocation of frequency regulation resources through market mechanisms to ensure the frequency stability of the power system. The power frequency regulation market clearing refers to determining the winning frequency regulation capacity and the corresponding price of the frequency regulation resources such as generator units and energy storage under certain market rules, so as to realize the matching of frequency regulation demand and supply.

[0003] The power peak regulation market is a key link in the power spot market system to solve the temporal and spatial mismatch of power supply and demand, and its core goal is to optimize the allocation of peak regulation resources through market mechanisms to balance the power supply and demand during the "low valley" period of the power grid. The power peak regulation market clearing refers to determining the peak regulation output plan and the corresponding price of the peak regulation resources such as generator units and energy storage under certain market rules, so as to realize the optimal matching of peak regulation demand and supply.

[0004] Generator units, energy storage and other regulation resources can participate in both the power frequency regulation market and the power peak regulation market, and the power frequency regulation and peak regulation markets have coupled characteristics in operation. How to consider the connection relationship between the power frequency regulation and peak regulation market clearings, fully stimulate the regulation potential of various regulation resources, and maximize the promotion of clean energy consumption is a problem. SUMMARY

[0005] The purpose of the present application is to overcome the deficiencies in the prior art, and to provide a power frequency regulation and peak regulation market coordinated clearing method and system, which can overcome the coordination deficiencies in the power frequency regulation market and peak regulation market clearings in the prior art, and solve the problem of not being able to fully stimulate the regulation potential of various regulation resources.

[0006] To achieve the above-mentioned purpose, the present application is realized by using the following technical scheme:

[0007] On the one hand, the present application provides a power frequency regulation and peak regulation market coordinated clearing method, comprising:

[0008] obtaining power frequency regulation market data and power peak regulation market data;

[0009] generating a frequency regulation market clearing model according to the power frequency regulation market data, solving the frequency regulation market clearing model, and obtaining a frequency regulation winning capacity; the frequency regulation winning capacity includes a thermal power unit frequency regulation winning capacity and an energy storage frequency regulation winning capacity;

[0010] calculating a regional peak regulation gap according to the power peak regulation market data and the thermal power unit frequency regulation winning capacity;

[0011] According to the power peak regulation market data, the frequency modulation capacity of the energy storage, and the regional peak regulation gap, a peak regulation market clearing model is generated;

[0012] The peak regulation market clearing model is solved to obtain a coordinated clearing result of the power frequency modulation and peak regulation market.

[0013] Optionally, the objective function of the frequency modulation market clearing model is represented as:

[0014] ;

[0015] wherein, represents the frequency modulation mileage bid of the i1th frequency modulation resource; represents the normalized comprehensive frequency modulation performance evaluation index of the i1th frequency modulation resource; represents the frequency modulation bid status of the i1th frequency modulation resource in the tth time period; represents the frequency modulation capacity of the i1th frequency modulation resource; represents the number of frequency modulation resources.

[0016] Optionally, the constraint of the frequency modulation market clearing model is represented as:

[0017] ;

[0018] wherein, represents the regional frequency modulation capacity demand in the tth time period.

[0019] Optionally, the regional peak regulation gap is represented as:

[0020] ;

[0021] wherein, represents the peak regulation gap in the tth time period; represents the economic operation output lower limit of the kth thermal power unit participating in the peak regulation market and not bidding for frequency modulation, that is, the output upper limit of deep peak regulation; N represents the number of thermal power units participating in the peak regulation market and not bidding for frequency modulation; represents the system load prediction value in the tth time period; represents the planned value of the i2th inter-regional tie line in the tth time period; represents the number of inter-regional tie lines; represents the frequency modulation bid capacity of the i3th frequency modulation bid thermal power unit in the tth time period; represents the number of frequency modulation bid thermal power units; represents the power generation plan value of the lth power generation resource or energy storage not participating in the peak regulation market in the tth time period; represents the total number of power generation resources and energy storages not participating in the peak regulation market.

[0022] Optionally, the objective function of the peak regulation market clearing model is represented as:

[0023] ;

[0024] wherein T represents the total number of time periods of the optimization period; N represents the number of thermal power units participating in the peak regulation market and failing to win the frequency regulation bid; represents the number of deep peak regulation bid levels of the kth thermal power unit participating in the peak regulation market and failing to win the frequency regulation bid; represents the jth deep peak regulation bid of the kth thermal power unit participating in the peak regulation market and failing to win the frequency regulation bid; represents the jth deep peak regulation calling amount of the kth thermal power unit participating in the peak regulation market and failing to win the frequency regulation bid at the tth time period; and M represents the number of energy storages participating in the peak regulation market; represents the number of charging peak regulation bid levels of the mth energy storage; represents the j'th charging peak regulation bid of the mth energy storage; represents the j'th charging peak regulation calling amount of the mth energy storage at the tth time period.

[0025] Optionally, the constraints of the peak regulation market clearing model include thermal power unit constraints, energy storage constraints, and total peak regulation demand constraints.

[0026] The thermal power unit constraints include deep peak regulation calling amount constraints of thermal power units and thermal power unit ramping constraints, and the energy storage constraints include energy storage charging power constraints, energy storage state of charge constraints, and energy storage ramping constraints.

[0027] Optionally, the deep peak regulation calling amount constraints of thermal power units are represented as:

[0028] ;

[0029] ;

[0030] The thermal power unit ramping constraints are represented as:

[0031] ;

[0032] ;

[0033] ;

[0034] wherein represents the total deep peak regulation calling amount of the kth thermal power unit participating in the peak regulation market and failing to win the frequency regulation bid at the tth time period; represents the jth deep peak regulation calling amount of the kth thermal power unit participating in the peak regulation market and failing to win the frequency regulation bid at the tth time period; It represents the maximum deep peak-shaving call volume of the kth thermal power unit that participated in the peak-shaving market and did not win the bid for frequency regulation in the tth period; 、 They represent the output plans of the kth thermal power unit that participated in the peak load regulation market and failed to win the bid for frequency regulation in the tth period and the t-1th period respectively; It represents the output plan of the kth thermal power unit that participated in the peak-shaving market and did not win the bid for frequency regulation before the peak-shaving market was cleared in period t; 、 They represent the power increase rate limit and power decrease rate limit of the kth thermal power unit participating in the peak load regulation market and failing to win the bid for frequency regulation; It indicates the deep peak-shaving quotation level of the k-th thermal power unit that participated in the peak-shaving market and did not win the bid for frequency regulation.

[0035] Optionally, the energy storage charging power constraint is expressed as:

[0036] ;

[0037] ;

[0038] The energy storage state of charge constraint is expressed as:

[0039] ;

[0040] ;

[0041] The energy storage ramp constraint is expressed as:

[0042] ;

[0043] ;

[0044] in, 、 They represent the charging power of the mth energy storage in the tth period and the t-1th period respectively; Indicates the peak-shaving charging capacity of the j'th gear of the mth energy storage in the tth period; represents the maximum charging power of the mth energy storage; represents the frequency regulation winning bid capacity of the mth energy storage; 、 They represent the state of charge of the mth energy storage in the tth period and the t-1th period respectively; is the time period length; represents the rated capacity of the mth energy storage; Indicates the energy storage health of the mth energy storage; 、 They represent the minimum state of charge and maximum state of charge of the mth energy storage respectively; 、 respectively represent the charging power rising rate limit and the falling rate limit of the mth energy storage; represent the charging peak regulation bid number of the mth energy storage.

[0045] Optionally, the total peak regulation demand constraint is represented as:

[0046]

[0047] wherein, represent the total deep peak regulation calling amount of the kth thermal power unit participating in the peak regulation market and not winning the frequency modulation in the tth period; represent the charging power of the mth energy storage in the tth period; is the total peak regulation demand in the tth period; N represents the number of thermal power units participating in the peak regulation market and not winning the frequency modulation; and M represents the number of energy storages participating in the peak regulation market.

[0048] In a second aspect, the present application provides a computer system, comprising:

[0049] a memory for storing computer instructions;

[0050] a processor for executing the computer instructions to implement the steps of the power frequency modulation and peak regulation market coordination clearing method of the first aspect.

[0051] Compared with the prior art, the present application has the following beneficial effects:

[0052] The present application considers the connection relationship of the power frequency modulation and peak regulation market clearing, solves the coordination clearing problem of the adjustment resources participating in different varieties of power auxiliary service markets, fully stimulates the adjustment potential of various adjustment resources, improves the comprehensive utilization efficiency of the adjustment resources, and maximizes the consumption capacity of clean energy. BRIEF DESCRIPTION OF DRAWINGS

[0053] Figure 1 Fig. 1 shows a flowchart of the power frequency modulation and peak regulation market coordination clearing method in an embodiment of the present application;

[0054] Figure 2 Fig. 1 shows a data flow diagram of the power frequency modulation and peak regulation market coordination clearing method in an embodiment of the present application. DETAILED DESCRIPTION

[0055] The technical scheme of the present application will be described in detail below with reference to the drawings and specific embodiments. It should be understood that the embodiments of the present application and the specific features in the embodiments are detailed descriptions of the technical scheme of the present application, and are not limitations of the technical scheme of the present application. In the case of no conflict, the technical features in the embodiments of the present application and the embodiments can be combined with each other. ​

[0056] The term "and / or", only describes the association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B, which can represent three cases of A alone, A and B together, and B alone. In addition, the character " / " generally represents that the associated objects before and after are an "or" relationship.

[0057] Embodiment 1

[0058] As Figure 1 shown, this embodiment introduces a power frequency modulation and peak shaving market coordination clearing method. The regional power system includes 2 thermal power units, G1 and G2; and 2 energy storages, E1 and E2. G1, G2, E1 and E2 all participate in the power frequency modulation and peak shaving market.

[0059] This embodiment carries out intraday market clearing, the optimization period is 2 hours, the time period length is 15 minutes, the total number of time periods in the optimization period is 8, and the first time period is T1.

[0060] The method comprises the following steps:

[0061] Step 1: Obtain power frequency modulation market data, including regional frequency modulation capacity demand, T1 time period is 50MW; market approved data of generator units participating in the frequency modulation market, see Table 1; frequency modulation declaration data of generator units participating in the frequency modulation market, see Table 2; market approved data of energy storages participating in the frequency modulation market, see Table 3; frequency modulation declaration data of energy storages participating in the frequency modulation market, see Table 4.

[0062] The market approved data of generator units participating in the frequency modulation market is the normalized comprehensive frequency modulation performance evaluation index of the generator unit, the market approved data of energy storages participating in the frequency modulation market is the normalized comprehensive frequency modulation performance evaluation index of the energy storage, the frequency modulation declaration data of generator units participating in the frequency modulation market includes generator unit frequency modulation mileage offer and generator unit frequency modulation capacity, and the frequency modulation declaration data of energy storages participating in the frequency modulation market includes energy storage frequency modulation mileage offer and energy storage frequency modulation capacity.

[0063] Table 1 Market approved data of generator units participating in the frequency modulation market

[0064]

[0065] Table 2 Frequency modulation declaration data of generator units participating in the frequency modulation market

[0066]

[0067] Table 3 Market approved data of energy storages participating in the frequency modulation market

[0068]

[0069] Table 4: Frequency regulation market data for participating in frequency regulation market

[0070]

[0071] Step two: generate a frequency regulation market clearing model according to the frequency regulation market data, and the objective function of the frequency regulation market clearing model is represented as:

[0072] ;

[0073] wherein, represents the frequency regulation mileage bid of the ith frequency regulation resource; represents the normalized comprehensive frequency regulation performance evaluation index of the ith frequency regulation resource; represents the frequency regulation bid status of the ith frequency regulation resource in the t period, 0 represents not bidding, and 1 represents bidding; represents the frequency regulation capacity of the ith frequency regulation resource; represents the number of frequency regulation resources. The objective function of the frequency regulation market clearing model considers the frequency regulation performance of the frequency regulation resource. The higher the comprehensive frequency regulation performance evaluation index, the easier it is to bid.

[0074] The constraints of the frequency regulation market clearing model are represented as:

[0075] ;

[0076] wherein, represents the regional frequency regulation capacity demand in the t period.

[0077] Step three: solve the frequency regulation market clearing model by using the integer programming method to obtain the frequency regulation bid capacity. The frequency regulation bid capacity in the T1 period is 50 MW, and the results are shown in Table 5.

[0078] Table 5: Frequency regulation bid capacity results

[0079]

[0080] In the T1 period, the thermal power unit G2 and the energy storage E2 with lower frequency regulation mileage bid are bid, and the sum of the frequency regulation bid capacity is 50 MW, which meets the regional frequency regulation capacity demand (50 MW).

[0081] Step four: Obtain the power peak shaving market data, including the system load forecast data, the T1 period is 575 MW; the inter-regional tie line plan, the T1 period sum is 200 MW, the direction is flowing into the region; the regional generator units all participate in the peak shaving market, so the sum of the generation plans of the generator units not participating in the peak shaving market is 0 in all periods; the regional energy storages all participate in the peak shaving market, so the sum of the charge and discharge plans of the energy storages not participating in the peak shaving market is 0 in all periods; the generation plan of the thermal power generator unit participating in the peak shaving market and not winning the frequency modulation bid before the peak shaving clearing, only G1 participates in the peak shaving market and does not win the frequency modulation bid in the T1 period, and the generation plan before the peak shaving clearing is 300 MW; the physical parameters of the thermal power generator unit participating in the peak shaving market include the installed capacity, the economic output lower limit, the rising rate limit, and the falling rate limit, wherein the installed capacity and the economic output lower limit are shown in Table 6; the physical parameters of the energy storage participating in the peak shaving market include the rated capacity, the energy storage health degree, the minimum state of charge, the maximum state of charge, the maximum charging power, the charging power rising rate limit, and the charging power falling rate limit, wherein the rated capacity and the maximum charging power are shown in Table 7; the peak shaving declaration data of the thermal power generator unit participating in the peak shaving market are shown in Table 8, wherein the deep peak shaving bid number is 1; the peak shaving declaration data of the energy storage participating in the peak shaving market are shown in Table 9, wherein the charging peak shaving bid number is 1.

[0082] Table 6 Installed capacity and economic output lower limit

[0083]

[0084] Table 7 Rated capacity and maximum charging power

[0085]

[0086] Table 8 Peak shaving declaration data of thermal power generator unit participating in peak shaving market

[0087]

[0088] Table 9 Peak shaving declaration data of energy storage participating in peak shaving market

[0089]

[0090] Step five: According to the power peak shaving market data, calculate the regional peak shaving gap, and the regional peak shaving gap is represented as:

[0091] ;

[0092] wherein, represents the peak shaving gap in the t period, if the peak shaving gap is greater than 0, it indicates that there is a peak shaving demand in the period t; Gk, min represents the economic operation lower limit of the kth thermal power unit participating in the peak regulation market and not winning the frequency modulation bid, i.e., the upper limit of deep peak regulation; Gt represents the system load prediction value of the tth period; Gt, i2 represents the tie-line planning value of the i2th inter-regional tie-line in the tth period, and the inflow region is positive; N represents the number of inter-regional tie-lines; Gt, i3 represents the frequency modulation winning capacity of the i3th frequency modulation winning thermal power unit in the tth period; N represents the number of frequency modulation winning thermal power units; Gt, l represents the generation planning value of the lth power generation resource or energy storage not participating in the peak regulation market in the tth period; N represents the total number of power generation resources and energy storages not participating in the peak regulation market.

[0093] The frequency modulation winning thermal power unit must operate above the economic output lower limit, and a lower adjustment space equal to the frequency modulation winning capacity must be left, so the minimum output of the frequency modulation winning thermal power unit is i.e., the economic operation lower limit + the frequency modulation winning capacity.

[0094] In the T1 period, the economic operation lower limit of the thermal power unit G1 participating in the peak regulation market and not winning the frequency modulation bid is 300 MW, the system load prediction value is 575 MW, the total tie-line planning value is 200 MW, the economic operation lower limit of the thermal power unit G2 is 150 MW, the frequency modulation winning capacity is 25 MW, and the sum of the generation planning values of the power generation resources or energy storages not participating in the peak regulation market is 0. Therefore, the peak regulation gap is 300-[575-200-(150+25)-0]=100(MW), and the peak regulation gap is greater than 0, indicating that there is a peak regulation demand of 100 MW in the T1 period.

[0095] Step six: generating a peak regulation market clearing model according to the peak regulation market data, the frequency modulation winning capacity, and the regional peak regulation gap, wherein the frequency modulation winning capacity of the thermal power unit and the frequency modulation winning capacity of the energy storage are shown in Table 5.

[0096] The objective function of the peak regulation market clearing model is represented as:

[0097] ;

[0098] wherein T represents the total number of periods of the optimization cycle; N represents the number of thermal power units participating in the peak regulation market and not winning the frequency modulation bid; Gk represents the deep peak regulation bid number of the kth thermal power unit participating in the peak regulation market and not winning the frequency modulation bid; Gk, j represents the jth deep peak regulation bid of the kth thermal power unit participating in the peak regulation market and not winning the frequency modulation bid; denotes the j-th deep peak regulation calling quantity of the k-th thermal power unit participating in the peak regulation market and not winning the frequency modulation in the t-th period; denotes the charging peak regulation bidding level of the m-th energy storage; denotes the j'-th charging peak regulation bid of the m-th energy storage; denotes the j'-th charging peak regulation calling quantity of the m-th energy storage in the t-th period.

[0099] The constraints of the peak regulation market clearing model include thermal power unit constraints, energy storage constraints and total peak regulation demand constraints;

[0100] The thermal power unit constraints include thermal power unit deep peak regulation calling quantity constraints and thermal power unit ramping constraints, and the energy storage constraints include energy storage charging power constraints, energy storage state of charge constraints and energy storage ramping constraints.

[0101] The expression of the thermal power unit deep peak regulation calling quantity is:

[0102] ;

[0103] The thermal power unit deep peak regulation calling quantity constraint is:

[0104] ;

[0105] wherein, denotes the total deep peak regulation calling quantity of the k-th thermal power unit participating in the peak regulation market and not winning the frequency modulation in the t-th period; denotes the j-th deep peak regulation calling quantity of the k-th thermal power unit participating in the peak regulation market and not winning the frequency modulation in the t-th period; denotes the maximum deep peak regulation calling quantity of the k-th thermal power unit participating in the peak regulation market and not winning the frequency modulation in the t-th period.

[0106] The expression of the thermal power unit output is:

[0107] ;

[0108] The thermal power unit ramping constraint is:

[0109] ;

[0110] ;

[0111] wherein, , denote the output plan of the k-th thermal power unit participating in the peak regulation market and not winning the frequency modulation in the t-th period, respectively; denotes the output plan arranged by the k-th thermal power unit participating in the peak regulation market and not winning the frequency modulation in the t-th period before the peak regulation market clearing, and when there is a peak regulation gap, Set as economic operation power lower limit ; , respectively represent the power rise rate limit and the power drop rate limit of the kth thermal power unit participating in the peak regulation market and not winning the frequency modulation bid.

[0112] The energy storage charging power expression is:

[0113] ;

[0114] The energy storage charging power constraint is:

[0115] ;

[0116] wherein, , respectively represent the charging power of the mth energy storage in the tth period and the t-1th period; represents the j'th level of the charging peak regulation call quantity of the mth energy storage in the tth period; represents the maximum charging power of the mth energy storage; represents the frequency modulation winning capacity of the mth energy storage; the energy storage charging power constraint embodies the charging power adjustment margin equal to the frequency modulation winning capacity after the energy storage wins the frequency modulation bid.

[0117] The energy storage state of charge constraint is:

[0118] ;

[0119] ;

[0120] wherein, , respectively represent the state of charge of the mth energy storage in the tth period and the t-1th period; is the period length; represents the rated capacity of the mth energy storage; represents the energy storage health degree of the mth energy storage; , respectively represent the minimum state of charge and the maximum state of charge of the mth energy storage.

[0121] The energy storage ramp constraint is represented as:

[0122] ;

[0123] ;

[0124] wherein, , respectively represent the charging power rise rate limit and the drop rate limit of the mth energy storage,

[0125] The total peak regulation demand constraint is expressed as:

[0126] ;

[0127] Wherein, is the total peak regulation demand of the t period.

[0128] Step seven: using linear programming method, the peak regulation market clearing model is solved, and the coordinated clearing result of the power frequency regulation and peak regulation market is obtained. The clearing result of period T1 is shown in Table 10.

[0129] Table 10 Clearing result

[0130]

[0131] In period T1, the thermal power unit G2 wins the bid for frequency regulation, and there is a peak regulation demand in the period, so its output should be as low as possible, which is the economic operation output lower limit 150MW+frequency regulation bid capacity 25MW=175MW. Among the other three peak regulation resources, E1 and E2 with lower peak regulation price win the bid, and the sum of the peak regulation calling amount is 100MW, which meets the regional peak regulation demand (100MW). Among them, the energy storage E2 wins the bid for frequency regulation, and the frequency regulation bid capacity is 25MW, so as to leave a charging power adjustment margin, and the peak regulation calling amount is the maximum charging power 50MW-frequency regulation bid capacity 25MW=25MW. The thermal power unit G1 does not win the bid for frequency regulation and peak regulation, and since there is a peak regulation demand in period T1, its output should be as low as possible, which is the economic operation output lower limit 300MW.

[0132] Embodiment 2

[0133] The embodiment introduces a computer system, which comprises:

[0134] a memory for storing computer instructions;

[0135] a processor for executing the computer instructions to implement the steps of the power frequency regulation and peak regulation market coordinated clearing method described in embodiment 1.

[0136] Embodiment 3

[0137] The embodiment introduces a computer readable storage medium, which stores computer instructions, and the computer instructions are executed by a processor to implement the steps of the power frequency regulation and peak regulation market coordinated clearing method described in embodiment 1.

[0138] Those skilled in the art will appreciate that embodiments of the application can be readily used as software, hardware, or a combination of software and hardware. In one

[0139] Figure 1 Figure 1

[0140] Figure 1 Figure 1

[0141] Figure 1 Figure 1

[0142] Embodiments of the application can be implemented as computer programs or program code containing instructions. These program codes might be downloaded to a computer or other programmable apparatus from a computer-readable medium or to a computer or other programmable apparatus from a computer-readable medium. Such computer-readable medium can be a magnetic disk, optical disk, magnetic tape, or other magnetic medium, a magneto-optical medium (for example, a floptical disk), or a computer downloadable medium such as a compact memory stick. Accordingly, the computer program product can take the form of a computer program product embodied on a computer- readable medium.

[0139] Figure 1 Figure 1

[0140] Figure 1 Figure 1

[0141] Figure 1 Figure 1

[0142] Embodiments of the application can be implemented as computer programs or program code containing instructions. These program codes might be downloaded to a computer or other programmable apparatus from a computer-readable medium or to a computer or other programmable apparatus from a computer-readable medium. Such computer-readable medium can be a magnetic disk, optical disk, magnetic tape, or other magnetic medium, a magneto-optical medium (for example, a floptical disk), or a computer downloadable medium such as a compact memory stick. Accordingly, the computer program product can take the form of a computer program product embodied on a computer- readable medium.

[0139] Figure 1 Figure 1

[0140] Figure 1 Figure 1

[0141] Figure 1 Figure 1

[0142] Embodiments of the application can be implemented as computer programs or program code containing instructions. These program codes might be downloaded to a computer or other programmable apparatus from a computer-readable medium or to a computer or other programmable apparatus from a computer-readable medium. Such computer-readable medium can be a magnetic disk, optical disk, magnetic tape, or other magnetic medium, a magneto-optical medium (for example, a floptical disk), or a computer downloadable medium such as a compact memory stick. Accordingly, the computer program product can take the form of a computer program product embodied on a computer- readable medium.

[0139] Figure 1 Figure 1

[0140] Figure 1 Figure 1

[0141] Figure 1 Figure 1

[0142] Embodiments of the application can be implemented as computer programs or program code containing instructions. These program codes might be downloaded to a computer or other programmable apparatus from a computer-readable medium or to a computer or other programmable apparatus from a computer-readable medium. Such computer-readable medium can be a magnetic disk, optical disk, magnetic tape, or other magnetic medium, a magneto-optical medium (for example, a floptical disk), or a computer downloadable medium such as a compact memory stick. Accordingly, the computer program product can take the form of a computer program product embodied on a computer- readable medium.

[0139] Figure 1 Figure 1

[0140] Figure 1 Figure 1

[0141] Figure 1 Figure 1

[0142] Embodiments of the application can be implemented as computer programs or program code containing instructions. These program codes might be downloaded to a computer or other programmable apparatus from a computer-readable medium or to a computer or other programmable apparatus from a computer-readable medium. Such computer-readable medium can be a magnetic disk, optical disk, magnetic tape, or other magnetic medium, a magneto-optical medium (for example, a floptical disk), or a computer downloadable medium such as a compact memory stick. Accordingly, the computer program product can take the form of a computer program product embodied on a computer- readable medium.

[0139] Figure 1 Figure 1

[0140] Figure 1 Figure 1

[0141] Figure 1 Figure 1

[0142] Embodiments of the application can be implemented as computer programs or program code containing instructions. These program codes might be downloaded to a computer or other programmable apparatus from a computer-readable medium or to a computer or other programmable apparatus from a computer-readable medium. Such computer-readable medium can be a magnetic disk, optical disk, magnetic tape, or other magnetic medium, a magneto-optical medium (for example, a floptical disk), or a computer downloadable medium such as a compact memory stick. Accordingly, the computer program product can take the form of a computer program product embodied on a computer- readable medium.​​​​​​​​​​​​​​​​​​

Claims

1. A method for coordinated clearing of power frequency regulation and peak regulation markets, characterized in that: include: Obtain power frequency regulation market data and power peak regulation market data; generating a frequency regulation market clearing model based on the power frequency regulation market data, solving the frequency regulation market clearing model, and obtaining the frequency regulation winning capacity; the frequency regulation winning capacity includes the thermal power unit frequency regulation winning capacity and the energy storage frequency regulation winning capacity; Calculate the regional peak-shaving gap based on the power peak-shaving market data and the frequency regulation capacity of thermal power units; Generate a peak-shaving market clearing model based on the power peak-shaving market data, the energy storage frequency regulation winning bid capacity, and the regional peak-shaving gap; Solve the peak-shaving market clearing model and obtain the coordinated clearing results of the power frequency regulation and peak-shaving markets.

2. The method for coordinating and clearing the power frequency regulation and peak regulation market according to claim 1, characterized in that: The objective function of the frequency modulation market clearing model is expressed as: ； in, represents the frequency modulation mileage quotation of the i1th frequency modulation resource; represents the comprehensive frequency modulation performance evaluation index after normalization of the i1th frequency modulation resource; Indicates the winning bid status of the FM resource i1 in the t-th period; represents the frequency modulation capacity of the i1th frequency modulation resource; Indicates the number of frequency modulation resources.

3. The method for coordinating and clearing the power frequency regulation and peak regulation market according to claim 2, characterized in that: The constraints of the frequency modulation market clearing model are expressed as: ； in, It represents the regional frequency modulation capacity demand in time period t.

4. The method for coordinating and clearing the power frequency regulation and peak regulation market according to claim 1, characterized in that: The regional peak regulation gap is expressed as: ； in, represents the peak-shaving gap in period t; represents the lower limit of the economic operation output of the kth thermal power unit that participates in the peak-shaving market and fails to win the bid for frequency regulation, that is, the upper limit of the output for deep peak regulation; N represents the number of thermal power units that participate in the peak-shaving market and fail to win the bid for frequency regulation; represents the system load forecast value for period t; represents the tie line plan value of the i2th inter-region tie line in the tth period; Indicates the number of inter-regional contact lines; represents the frequency regulation capacity of the i3th thermal power unit that won the frequency regulation bid in period t; Indicates the number of thermal power units that won the bid for frequency regulation; represents the planned power generation value of the lth generation resource or energy storage that does not participate in the peak-shaving market in period t; Represents the total amount of power generation resources and energy storage that do not participate in the peak-shaving market.

5. The method for coordinating and clearing the power frequency regulation and peak regulation market according to claim 1, characterized in that: The objective function of the peak-shaving market clearing model is expressed as: ； Where T represents the total number of time periods in the optimization cycle; N represents the number of thermal power units participating in the peak load regulation market and not winning the bid for frequency regulation; Indicates the deep peak-shaving quotation level of the kth thermal power unit that participated in the peak-shaving market and did not win the bid for frequency regulation; It represents the deep peak-shaving quotation of the kth thermal power unit that participated in the peak-shaving market and did not win the bid for frequency regulation; represents the j-th gear deep peak-shaving call volume of the k-th thermal power unit that participated in the peak-shaving market in period t and did not win the bid for frequency regulation; M represents the amount of energy storage participating in the peak-shaving market; Indicates the charging peak-shaving quotation level of the mth energy storage; The peak-shaving quotation of the j'th charging gear of the mth energy storage is represented; Indicates the peak-shaving charging capacity of the j'th gear of the mth energy storage in the tth period.

6. The method for coordinating and clearing the power frequency regulation and peak regulation market according to claim 1, characterized in that: The constraints of the peak-shaving market clearing model include thermal power unit constraints, energy storage constraints, and total peak-shaving demand constraints; The thermal power unit constraints include the thermal power unit deep peak regulation call amount constraints and the thermal power unit climbing constraints, and the energy storage constraints include the energy storage charging power constraints, the energy storage charge state constraints and the energy storage climbing constraints.

7. The method for coordinating and clearing the power frequency regulation and peak regulation market according to claim 6, characterized in that: The deep peak load regulation call capacity constraint of the thermal power unit is expressed as: ； ； The thermal power unit climbing constraint is expressed as: ； ； ； in, represents the total deep peak-shaving call volume of the kth thermal power unit that participated in the peak-shaving market and did not win the bid for frequency regulation in period t; It represents the j-th deep peak-shaving call volume of the k-th thermal power unit that participated in the peak-shaving market in the t-th period and did not win the bid for frequency regulation; It represents the maximum deep peak-shaving call volume of the kth thermal power unit that participated in the peak-shaving market and did not win the bid for frequency regulation in the tth period; 、 They represent the output plans of the kth thermal power unit that participated in the peak load regulation market and failed to win the bid for frequency regulation in the tth period and the t-1th period respectively; It represents the output plan of the kth thermal power unit that participated in the peak-shaving market and did not win the bid for frequency regulation before the peak-shaving market was cleared in period t; 、 They represent the power increase rate limit and power decrease rate limit of the kth thermal power unit that participates in the peak load regulation market and fails to win the bid for frequency regulation; It indicates the deep peak-shaving quotation level of the k-th thermal power unit that participated in the peak-shaving market and did not win the bid for frequency regulation.

8. The method for coordinating and clearing the power frequency regulation and peak regulation market according to claim 6, characterized in that: The energy storage charging power constraint is expressed as: ； ； The energy storage state of charge constraint is expressed as: ； ； The energy storage ramp constraint is expressed as: ； ； in, 、 Respectively represent the charging power of the mth energy storage in the tth period and the t-1th period; Indicates the peak-shaving charging capacity of the j'th gear of the mth energy storage in the tth period; represents the maximum charging power of the mth energy storage; represents the frequency regulation winning bid capacity of the mth energy storage; 、 They represent the state of charge of the mth energy storage in the tth period and the t-1th period respectively; is the time period length; represents the rated capacity of the mth energy storage; Indicates the energy storage health of the mth energy storage; 、 They represent the minimum state of charge and maximum state of charge of the mth energy storage respectively; 、 They represent the charging power increase rate limit and decrease rate limit of the mth energy storage respectively; Indicates the charging peak-shaving quotation level for the m-th energy storage.

9. The method for coordinating and clearing the power frequency regulation and peak regulation market according to claim 6, characterized in that: The total amount constraint of peak demand is expressed as: ； in, represents the total deep peak-shaving call volume of the kth thermal power unit that participated in the peak-shaving market and did not win the bid for frequency regulation in period t; represents the charging power of the mth energy storage in the tth period; is the total peak-shaving demand in period t; N is the number of thermal power units participating in the peak-shaving market and not winning the bid for frequency regulation; M is the number of energy storage units participating in the peak-shaving market.

10. A computer system, characterized in that: include: Memory, for storing computer instructions; A processor, configured to execute the computer instructions to implement the steps of the method for coordinated clearing of the power frequency regulation and peak regulation market according to any one of claims 1 to 9.

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