Coal power capacity compensation calculation method and system

By constructing the bidding function and clearing model of power system units and calculating the benefits of coal-fired power units in the electricity energy and frequency regulation markets, the problem that existing solutions fail to reflect real demand is solved, and more reliable and accurate coal-fired power capacity compensation is achieved.

CN119675107BActive Publication Date: 2025-10-10STATE GRID HUNAN ELECTRIC POWER COMPANY LIMITED +2
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Patent Information

Application Number
CN202411794034.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-12-09
Publication Date
2025-10-10
Estimated Expiration
2044-12-09

AI Technical Summary

Technical Problem

The existing coal-fired power capacity electricity price scheme fails to accurately reflect the actual demand of coal-fired power units, which affects their safe and reliable operation.

Method used

By constructing the quotation function of power system units in the electric energy market and frequency regulation market, establishing the clearing model of the electric energy market and frequency regulation market, calculating the income of the computer unit in each market, and calculating the annual fixed cost recovery shortfall of the coal-fired power unit based on the income data, the coal-fired power capacity compensation price is finally determined.

Benefits of technology

A more reliable and accurate calculation of coal-fired power capacity compensation is achieved, ensuring the safe and reliable operation of coal-fired power units.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a coal power capacity compensation calculation method, comprising the following steps: obtaining data information of a target power system; constructing a bidding function of a power system unit in an electricity market and a frequency modulation market; constructing an electricity market clearing model and a frequency modulation market clearing model of the power system unit; calculating the income of the power system unit in the electricity market and the frequency modulation market; calculating the annual fixed cost recovery shortage of the power system unit; calculating the annual effective capacity and compensation price of the coal power unit, and completing the coal power capacity compensation calculation of the target power system. The application further discloses a system for realizing the coal power capacity compensation calculation method. Through the acquisition and processing of multi-dimensional data of the power system, the corresponding bidding model and clearing model are constructed, the corresponding income data and cost recovery shortage are calculated, and finally the coal power capacity compensation is calculated according to the contribution of the coal power unit. Therefore, the application has higher reliability and better accuracy.
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Description

Technical Field

[0001] The present invention belongs to the field of electrical automation, and in particular relates to a method and system for calculating coal-fired power capacity compensation. Background Art

[0002] With the development of economy and technology and the improvement of people's living standards, electricity has become an indispensable secondary energy source in people's production and life, bringing endless convenience to people's production and life. Therefore, ensuring a stable and reliable supply of electricity has become one of the most important tasks of the power system.

[0003] Currently, with the massive influx of renewable energy generation systems integrating into the grid and generating electricity, the random nature of their output poses a significant challenge to the safe operation of the power system. Consequently, the power system is gradually shifting from coal-fired power to an operating model that prioritizes both basic security and system-regulating power.

[0004] The current coal-fired power capacity pricing scheme is based on recovering a certain percentage of the fixed costs of coal-fired power units, with the recovery percentage determined based on the needs of local power systems. However, this scheme fails to consider the actual needs of coal-fired power units, negatively impacting the safe and reliable operation of coal-fired power. Therefore, a comprehensive and reliable scheme is urgently needed to calculate the corresponding coal-fired power capacity compensation. Summary of the Invention

[0005] One of the purposes of the present invention is to provide a method for calculating coal power capacity compensation with high reliability and good accuracy.

[0006] A second object of the present invention is to provide a system for implementing the coal-fired power capacity compensation calculation method.

[0007] The coal-fired power capacity compensation calculation method provided by the present invention comprises the following steps:

[0008] S1. Obtain data information of the target power system;

[0009] S2. Based on the obtained data, construct a quotation function for power system units in the electric energy market and frequency regulation market;

[0010] S3. Based on the obtained data, construct an energy market clearing model and a frequency regulation market clearing model for power system units;

[0011] S4. Calculate the revenue of power system units in the electric energy market and frequency regulation market based on the constructed clearing model;

[0012] S5. Calculate the annual fixed cost recovery shortfall of the power system units based on the obtained revenue data;

[0013] S6. According to the obtained data of the shortage, the annual effective capacity and compensation price of the coal-fired unit are calculated, and the compensation calculation of the coal-fired capacity of the target power system is completed.

[0014] The bidding function of the power system unit in the electricity market is constructed, specifically including the following steps:

[0015] The following formula is used as the bidding function MC1 of the thermal power unit in the electricity market:

[0016] MC1 = b1 + 2c1P1

[0017] Where P1 is the power output of the thermal power unit; b1 is the first variable cost coefficient of the thermal power unit; c1 is the second variable cost coefficient of the thermal power unit;

[0018] The following formula is used as the bidding function MC2 of the pumped storage unit in the electricity market:

[0019]

[0020] Where R d is the pumped storage price of the pumped storage unit; λ1 is the loss rate of the pumped storage process of the pumped storage unit; λ2 is the loss rate of the pumped storage process of the pumped storage unit;

[0021] The following formula is used as the bidding function MC3 of the wind power unit in the electricity market:

[0022] MC3 = b3

[0023] Where b3 is the variable cost coefficient of the wind power unit;

[0024] The following formula is used as the bidding function MC4 of the photovoltaic unit in the electricity market:

[0025] MC4 = b4

[0026] Where b4 is the variable cost coefficient of the photovoltaic unit;

[0027] The following formula is used as the bidding function MC5 of the hydroelectric unit in the electricity market:

[0028] MC5 = b5

[0029] Where b5 is the variable cost coefficient of the hydroelectric unit.

[0030] The bidding function of the power system unit in the frequency regulation market is constructed, specifically including the following steps:

[0031] The following formula is used to represent the relationship between the average output of the power supplier and the electricity energy output of the power supplier:

[0032]

[0033] wherein is a proportionality coefficient; P f is the frequency modulation capacity provided by the unit; is the average output of the unit; P e is the electric energy output of the unit;

[0034] The following formula is used as the bidding function of the thermal power unit in the frequency modulation market

[0035]

[0036] wherein e1 is the cost of wear and tear in the process of providing frequency modulation auxiliary service by the thermal power generator unit; b 1-1 is the second coal consumption cost coefficient of the thermal power unit; a 1-1 is the first coal consumption cost coefficient of the thermal power unit; is the proportionality coefficient of the thermal power unit; P1 f is the frequency modulation capacity provided by the thermal power unit; R1 is the ratio of the frequency modulation mileage of the thermal power generator to the frequency modulation capacity;

[0037] The following formula is used as the bidding function of the hydroelectric unit in the frequency modulation market

[0038]

[0039] wherein e5 is the cost of wear and tear in the process of providing frequency modulation auxiliary service by the hydroelectric generator unit; b5 is the variable cost coefficient of the hydroelectric unit; is the proportionality coefficient of the hydroelectric unit; is the frequency modulation capacity provided by the hydroelectric unit; R5 is the ratio of the frequency modulation mileage of the hydroelectric generator to the frequency modulation capacity;

[0040] The following formula is used as the bidding function of the pumped storage unit in the frequency modulation market

[0041]

[0042] wherein e2 is the cost of wear and tear in the process of providing frequency modulation auxiliary service by the pumped storage generator unit; is the average pumped storage price; is the proportionality coefficient of the pumped storage unit; is the frequency modulation capacity provided by the pumped storage unit; λ1 is the loss rate of the pumped storage process of the pumped storage unit; λ2 is the loss rate of the pumped electricity generation process of the pumped storage unit; R2 is the ratio of the frequency modulation mileage of the pumped storage generator to the frequency modulation capacity.

[0043] The electric energy market clearing model of the power system unit is constructed, and specifically includes the following steps:

[0044] The power P reported by generator i in time period t i,t and the price declared by generator i in period t represents the energy bidding strategy X of power producer i i,t for Where i is the number of the power generator, i=1 represents a thermal power generator; i=2 represents a pumped storage power generator; i=3 represents a wind power generator; i=4 represents a photovoltaic power generator; i=5 represents a hydropower generator;

[0045] The following formula is used as the objective function of the electric energy market clearing model for power system units:

[0046]

[0047] Where T is the total number of clearing time periods; n is the total number of generators participating in the electricity market clearing;

[0048] The following formula is used as the constraint condition:

[0049] Quote upper and lower limit constraints:

[0050]

[0051] Where MC i is the quotation function value of the unit corresponding to the i-th generator in the electricity market; is the upper limit of the price quoted in the electricity market in period t;

[0052] Output upper and lower limit constraints:

[0053] P i,min ≤P i,t ≤P i,max

[0054] Where P i,min is the lower limit of the output of the unit corresponding to the i-th generator; P i,max is the output upper limit of the unit corresponding to the i-th generator;

[0055] Hill climbing constraints:

[0056] ΔT·P i down ≤|P i,t -P i,t-1 |≤ΔT·P i up

[0057] Where ΔT is the time interval; P i down is the maximum downward ramp rate of the unit corresponding to the i-th generator; P i upThe maximum upward ramping rate of the unit corresponding to the i-th power supplier;

[0058] Supply-demand balance constraint:

[0059]

[0060] In the formula is the energy demand of the target power system at time period t.

[0061] The frequency regulation market clearing model of the power system unit is constructed, and specifically includes the following steps:

[0062] The frequency regulation capacity declared by the power supplier i at time period t The frequency regulation mileage price declared by the power supplier i at time period t The frequency regulation auxiliary service bidding strategy of the power supplier i is represented is Wherein i is the index of the power supplier, i=1 represents a thermal power supplier; i=2 represents a pumped storage power supplier; i=3 represents a wind power supplier; i=4 represents a photovoltaic power supplier; i=5 represents a hydropower supplier;

[0063] The following formula is used as the objective function of the frequency regulation market clearing model of the power system unit:

[0064]

[0065] In the formula, T is the total number of clearing time periods; n is the total number of power suppliers participating in the energy market clearing; k i The comprehensive frequency regulation performance index of the unit corresponding to the i-th power supplier; R i The frequency regulation mileage capacity ratio of the frequency regulation resource of the unit corresponding to the i-th power supplier; The frequency regulation fixed compensation price of the unit corresponding to the i-th power supplier;

[0066] The following formula is used as the constraint function:

[0067] Bidding upper and lower limit constraint:

[0068]

[0069] In the formula The bidding function value of the unit corresponding to the i-th power supplier in the frequency regulation market; The upper limit of the bidding of the frequency regulation auxiliary service market at time period t;

[0070] Capacity upper and lower limit constraint:

[0071]

[0072] In the formula, P i,minP i,max P P P P

[0073] Supply and demand balance constraint:

[0074]

[0075] Wherein P P

[0076] According to the constructed clearing model, the revenue of the power system unit in the electricity market and the frequency modulation market is calculated, and the specific steps include the following steps:

[0077] The following formula is used to calculate the electricity market revenue L e,i of the unit corresponding to the i-th power supplier:

[0078]

[0079] Wherein P P

[0080] The following formula is used to calculate the frequency modulation market revenue L f,i of the unit corresponding to the i-th power supplier:

[0081]

[0082] Wherein P P

[0083] According to the obtained revenue data, the annual fixed cost recovery shortage of the power system unit is calculated, and the specific steps include the following steps:

[0084] The following formula is used to calculate the annual fixed cost recovery shortage of the power system unit:

[0085] ΔC i = L e,i + L f,i - C p,i - C r,i

[0086] ΔC i is the annual fixed cost recovery shortfall of the unit corresponding to the ith power generator; C r,i is the annual operation and maintenance cost of the unit corresponding to the ith power generator; C p,i is the annual investment cost of the unit corresponding to the ith power generator, and n n is the discount rate, L i is the payback period of the unit corresponding to the ith power generator; C inv,i is the investment cost of the unit corresponding to the ith power generator, including equipment purchase fee, installation and commissioning fee, transportation fee, technical service fee, etc.

[0087] According to the obtained shortfall data, the annual effective capacity and compensation price of the coal-fired unit are calculated in step S6, and the coal-fired capacity compensation calculation of the target power system is completed, which specifically includes the following steps:

[0088] The annual effective capacity of the coal-fired unit is calculated by using the following formula:

[0089] P r,ii =A AF,ii P ii

[0090] In the formula, P r,ii is the annual effective capacity of the coal-fired unit ii; P ii is the nameplate output value of the coal-fired unit ii; A AF,ii is the annual availability factor of the coal-fired unit ii, and γ ii is the annual auxiliary power rate of the coal-fired unit ii, A AH,ii is the annual available hours of the coal-fired unit ii, P PH,ii is the annual statistical hours of the coal-fired unit ii, and P PH,ii =A AH,ii +P POH,ii +U UOH,ii , P POH,ii is the annual planned outage hours of the coal-fired unit ii, U UOH,ii is the annual unplanned outage hours of the coal-fired unit ii;

[0091] Finally, the coal-fired unit capacity compensation price ρ ii,r of the coal-fired unit ii is calculated as where ΔC ii is the annual fixed cost recovery shortfall of the coal-fired unit ii of the coal-fired power generator.

[0092] The present invention also provides a system for realizing the coal power capacity compensation calculation method, comprising a data acquisition module, a quotation calculation module, a clearing calculation module, a revenue calculation module, a shortfall calculation module and a compensation calculation module; the data acquisition module, the quotation calculation module, the clearing calculation module, the revenue calculation module, the shortfall calculation module and the compensation calculation module are connected in series in sequence; the data acquisition module is used to acquire data information of the target power system and upload the data information to the quotation calculation module; the quotation calculation module is used to construct a quotation function of the power system unit in the electric energy market and the frequency modulation market according to the received data information, and upload the data information to the clearing calculation module; the clearing calculation module is used to construct a quotation function of the power system unit in the electric energy market and the frequency modulation market according to the received data information The electric energy market clearing model and the frequency regulation market clearing model of the group are constructed, and the data information is uploaded to the revenue calculation module; the revenue calculation module is used to calculate the revenue of the power system units in the electric energy market and the frequency regulation market according to the received data information and the constructed clearing model, and upload the data information to the shortfall calculation module; the shortfall calculation module is used to calculate the annual fixed cost recovery shortfall of the power system units according to the received data information and the obtained revenue data, and upload the data information to the compensation calculation module; the compensation calculation module is used to calculate the annual effective capacity and compensation price of the coal-fired power units according to the received data information and the obtained shortfall data, and complete the coal-fired power capacity compensation calculation of the target power system.

[0093] The coal-fired power capacity compensation calculation method and system provided by the present invention acquire and process multidimensional data of the power system, construct corresponding quotation models and clearing models, calculate corresponding revenue data and cost recovery shortfalls, and finally calculate coal-fired power capacity compensation based on the contribution of coal-fired power units. Therefore, the present invention has higher reliability and better accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0094] Figure 1 Schematic diagram of the process flow of the present invention.

[0095] Figure 2 Schematic diagram of the functional modules of the system of the present invention. DETAILED DESCRIPTION

[0096] like Figure 1 The figure shows a schematic flow chart of the method of the present invention: The method for calculating the coal-fired power capacity compensation disclosed by the present invention comprises the following steps:

[0097] S1. Obtain data information of the target power system;

[0098] S2. Based on the obtained data, construct a quotation function for power system units in the electric energy market and frequency regulation market;

[0099] Wherein, the bidding function of the power system unit in the electricity market is constructed, and specifically includes the following steps:

[0100] The following formula is used as the bidding function MC1 of the thermal power unit in the electricity market:

[0101] MC1 = b1 + 2c1P1

[0102] In the formula, P1 is the power output of the thermal power unit; b1 is the first variable cost coefficient of the thermal power unit; c1 is the second variable cost coefficient of the thermal power unit;

[0103] The following formula is used as the bidding function MC2 of the pumped storage unit in the electricity market:

[0104]

[0105] In the formula, R d is the pumped storage price of the pumped storage unit; λ1 is the loss rate of the pumped storage unit in the pumping process; λ2 is the loss rate of the pumped storage unit in the power generation process;

[0106] The following formula is used as the bidding function MC3 of the wind power unit in the electricity market:

[0107] MC3 = b3

[0108] In the formula, b3 is the variable cost coefficient of the wind power unit;

[0109] The following formula is used as the bidding function MC4 of the photovoltaic unit in the electricity market:

[0110] MC4 = b4

[0111] In the formula, b4 is the variable cost coefficient of the photovoltaic unit;

[0112] The following formula is used as the bidding function MC5 of the hydropower unit in the electricity market:

[0113] MC5 = b5

[0114] In the formula, b5 is the variable cost coefficient of the hydropower unit;

[0115] The bidding function of the power system unit in the frequency regulation market is constructed, and specifically includes the following steps:

[0116] The transaction target of the frequency regulation market is: the frequency regulation capacity and the frequency regulation mileage price; the frequency regulation capacity price adopts the fixed compensation price, so that the unit mainly considers the variable cost when bidding in the frequency regulation market; the frequency regulation mileage price is determined by the market bidding, and the frequency regulation mileage price refers to the price of the unit mileage provided by the frequency regulation unit; since the main units participating in the frequency regulation auxiliary service bidding are thermal power units, hydropower units and pumped storage units;

[0117] The following formula is used to express the relationship between the average output of a power generator and its electrical energy output:

[0118]

[0119] In the formula is the proportional coefficient; P f Frequency regulation capacity provided to the unit; is the average output of the unit; P e Provide electrical energy for the unit;

[0120] The following formula is used as the quotation function of thermal power units in the frequency regulation market:

[0121]

[0122] Where e1 is the cost of wear and tear incurred during the frequency regulation auxiliary service provided by thermal power generators; b 1-1 is the second coal consumption cost coefficient of thermal power units; a 1-1 is the first coal consumption cost coefficient of thermal power units; P1 is the thermal power unit proportional coefficient; f The frequency regulation capacity provided for thermal power units; R1 is the ratio of the frequency regulation mileage to the frequency regulation capacity of thermal power generators;

[0123] The following formula is used as the quotation function of hydropower units in the frequency regulation market:

[0124]

[0125] Where e5 is the cost of wear and tear incurred during the frequency regulation auxiliary service provided by the hydropower generator set; b5 is the variable cost coefficient of the hydropower generator set; is the proportional coefficient of the hydropower unit; The frequency regulation capacity provided for hydropower units; R5 is the ratio of the frequency regulation mileage to the frequency regulation capacity of the hydropower generator;

[0126] The following formula is used as the quotation function of pumped storage units in the frequency regulation market:

[0127]

[0128] Where e2 is the cost of wear and tear incurred when the pumped storage generator set provides frequency regulation auxiliary services; is the average pumped hydro price; is the proportional coefficient of the pumped storage unit; is the frequency regulation capacity provided by the pumped storage unit; λ1 is the loss rate of the pumped storage unit during the pumping process; λ2 is the loss rate of the pumped storage unit during the power generation process; R2 is the ratio of the frequency regulation mileage to the frequency regulation capacity of the pumped storage power plant;

[0129] The frequency regulation service of the pumped storage unit is divided into frequency regulation in the power generation condition and frequency regulation in the pumping condition. The variable cost of the pumped storage unit in the power generation condition includes pumping cost, pumping and power generation loss rate and wear and tear increase cost; in addition, since in the pumping condition, the cost of the pumped unit is mainly reflected in the equipment wear and tear cost and the opportunity cost of less pumping, the cost is less and thus is ignored;

[0130] S3. According to the obtained data information, an electric energy market dispatching model and a frequency regulation market dispatching model of the power system unit are constructed;

[0131] The electric energy market dispatching model of the power system unit is constructed, specifically including the following steps:

[0132] P i,t denotes the electric quantity declared by the power generator i in the time period t i,t denotes the price declared by the power generator i in the time period t denotes the electric energy bidding strategy X of the power generator i i,t is wherein i is the index of the power generator, i=1 denotes a thermal power generator; i=2 denotes a pumped storage power generator; i=3 denotes a wind power generator; i=4 denotes a photovoltaic power generator; i=5 denotes a hydropower generator;

[0133] The following formula is used as the objective function of the electric energy market dispatching model of the power system unit:

[0134]

[0135] wherein T is the total number of dispatching time periods; n is the total number of power generators participating in the electric energy market dispatching;

[0136] The following formula is used as the constraint condition:

[0137] The upper and lower limits of the bid constraint:

[0138]

[0139] wherein MC i is the bidding function value of the unit corresponding to the i-th power generator in the electric energy market; is the upper limit of the bid in the electric energy market in the time period t;

[0140] The upper and lower limits of the output constraint:

[0141] P i,min ≤P i,t ≤P i,max

[0142] wherein P i,min is the lower limit of the output of the unit corresponding to the i-th power generator; P i,maxis the output upper limit of the unit corresponding to the i-th generator;

[0143] Climbing constraints:

[0144] ΔT·P i down ≤|P i,t -P i,t-1 |≤ΔT·P i up

[0145] Where ΔT is the time interval; P i down is the maximum downward ramp rate of the unit corresponding to the i-th generator; P i up is the maximum upward ramp rate of the unit corresponding to the i-th generator;

[0146] Supply and demand balance constraints:

[0147]

[0148] In the formula is the electric energy demand of the target power system in time period t;

[0149] Constructing a frequency regulation market clearing model for power system units includes the following steps:

[0150] After the bidding in the electric energy market is completed, bidding in the frequency regulation market will be conducted. Power generators can use the remaining capacity after the bidding to participate in the bidding in the frequency regulation market.

[0151] The frequency regulation capacity declared by generator i in time period t and the frequency regulation mileage price declared by generator i in period t represents the frequency regulation auxiliary service bidding strategy of generator i for Where i is the number of the power generator, i=1 represents a thermal power generator; i=2 represents a pumped storage power generator; i=3 represents a wind power generator; i=4 represents a photovoltaic power generator; i=5 represents a hydropower generator;

[0152] The frequency regulation market clearing model dispatches all generators according to their frequency regulation mileage costs. Taking into account the differences in quality between different frequency regulation resources, a comprehensive frequency regulation performance index is used to process the frequency regulation mileage quotations of generators. The larger the comprehensive frequency regulation performance index value, the higher the frequency regulation performance. The frequency regulation market is centrally cleared, so the following formula is used as the objective function of the frequency regulation market clearing model for power system units:

[0153]

[0154] Wherein, T is the total number of the time period of the clearing; n is the total number of the power generation enterprises participating in the energy market clearing; k i is the comprehensive frequency modulation performance index of the unit corresponding to the i th power generation enterprise; R i is the frequency modulation mileage capacity ratio of the frequency modulation resource of the unit corresponding to the i th power generation enterprise; is the frequency modulation fixed compensation price of the unit corresponding to the i th power generation enterprise;

[0155] The following formula is used as the constraint function:

[0156] The upper and lower limits of the offer constraint:

[0157]

[0158] Wherein, P is the offer function value of the unit corresponding to the i th power generation enterprise in the frequency modulation market; is the upper limit of the offer of the frequency modulation auxiliary service market in the time period t;

[0159] The upper and lower limits of the capacity constraint:

[0160]

[0161] Wherein, P i,min is the lower limit of the output of the unit corresponding to the i th power generation enterprise; P i,max is the upper limit of the output of the unit corresponding to the i th power generation enterprise; is the result of the unit corresponding to the i th power generation enterprise in the time period t in the energy market; is the upper limit of the frequency modulation capacity of the frequency modulation auxiliary service market in the time period t;

[0162] The supply and demand balance constraint:

[0163]

[0164] Wherein, P is the frequency modulation capacity demand of the target power system in the time period t;

[0165] S4. According to the constructed clearing model, the income of the power system unit in the energy market and the frequency modulation market is calculated; specifically including the following steps:

[0166] The following formula is used to calculate the income L e,i of the unit corresponding to the i th power generation enterprise in the energy market:

[0167]

[0168] Wherein, P is the clearing price of the time period t in the energy market; The result of the unit corresponding to the i-th power supplier in the electricity market in period t;

[0169] The frequency regulation market revenue L of the unit corresponding to the i-th power supplier is calculated by the following formula f,i :

[0170]

[0171] In the formula, is the frequency regulation mileage clearing price in period t in the frequency regulation market; is the result of the unit corresponding to the i-th power supplier in the frequency regulation market in period t;

[0172] S5. According to the obtained revenue data, the annual fixed cost recovery shortage of the power system unit is calculated; specifically including the following steps:

[0173] The annual fixed cost recovery shortage of the power system unit is calculated by the following formula:

[0174] ΔC i =L e,i +L f,i -C p,i -C r,i

[0175] In the formula, ΔC i is the annualized fixed cost recovery shortage of the unit corresponding to the i-th power supplier; C r,i is the annualized operation and maintenance cost of the unit corresponding to the i-th power supplier; C p,i is the annualized investment cost of the unit corresponding to the i-th power supplier, and n n is the discount rate, L i is the payback period of the unit corresponding to the i-th power supplier, C inv,i is the investment cost of the unit corresponding to the i-th power supplier, including equipment purchase fee, installation and commissioning fee, transportation fee, technical service fee, etc.

[0176] S6. According to the obtained shortage data, the annual effective capacity and compensation price of the coal-fired unit are calculated, and the coal-fired capacity compensation calculation of the target power system is completed; specifically including the following steps:

[0177] In order to reflect the contribution of the actual power generation capacity and availability of the unit to the system capacity adequacy, the compensation demand is considered according to the effective capacity of the coal-fired unit participating in the electricity market;

[0178] The annual effective capacity of the coal-fired unit is calculated by the following formula:

[0179] P r,ii =A AF,ii Pii

[0180] Where P r,ii is the annual effective capacity of coal-fired power unit ii; P ii is the nameplate output value of coal-fired power unit ii; A AF,ii is the annual availability factor of coal-fired power unit ii, and γ ii is the annual power consumption rate of coal-fired power unit ii, A AH,ii is the annual available hours of coal-fired power unit ii, P PH,ii is the annual statistical hours of coal-fired power unit ii and P PH,ii =A AH,ii +P POH,ii +U UOH,ii , P POH,ii is the annual planned outage hours of coal-fired power unit ii, U UOH,ii is the annual unplanned outage hours of coal-fired power unit ii;

[0181] Finally, the coal power unit capacity compensation price ρ of coal power unit ii is calculated ii,r for where ΔC ii It is the annual fixed cost recovery shortfall of coal-fired power unit ii of the coal-fired power generator.

[0182] The method of the present invention is further described below with reference to an embodiment:

[0183] In the example part of this embodiment, three thermal power units, two wind power units, two photovoltaic units, two hydropower units and one pumped storage unit are set up, with a maximum power generation capacity of 4580MW. The basic parameters of each generator unit are shown in Table 1, and the frequency regulation parameters are shown in Table 2. The market demand is determined by the fitting method.

[0184] Table 1 Basic parameters of generator sets

[0185]

[0186] Table 2 Schematic diagram of unit frequency regulation parameters

[0187]

[0188] The simulation results of the unit power energy-frequency market clearing are as follows:

[0189] Taking a 24-hour day as a cycle, using the marginal price as the unified clearing price, simulating the clearing of the electricity energy market and the frequency regulation market in sequence, the revenue of each unit in each market is obtained, as shown in Table 3:

[0190] Table 3 Schematic diagram of the revenue of generator sets in various markets (unit: 10,000 yuan)

[0191]

[0192] The annual fixed cost recovery shortage of coal-fired power units is calculated as follows:

[0193] According to the availability of coal-fired power units of different grades, combined with the annual investment cost, annual operation cost, and an actual discount rate of 6%, the annual fixed cost shortage is analyzed, as shown in Table 4:

[0194] Table 4: Annual fixed cost shortage of coal-fired power units (in ten thousand yuan)

[0195]

[0196] The coal-fired power unit capacity compensation price is determined according to the effective capacity:

[0197] The equivalent forced outage rate of coal-fired power units of different grades is set according to the “2020 First Half Year National Power Reliability Report”, and the auxiliary power rate and planned maintenance rate are taken from the average values of the relevant parameters of actual power grid units of different grades, as shown in Table 5:

[0198] Table 5: Availability of units of different capacity grades

[0199] Capacity rating Plant power consumption rate Planned maintenance rate Forced outage rate Availability factor 300MW 6.21% 12.56% 0.60% 0.82 600MW 5.16% 10.41% 0.51% 0.85 1000MW 4.43% 12.02%5 0.14% 0.84

[0200] According to the scenario of the present embodiment, the annual fixed cost shortage of coal-fired power units is 597 million yuan / year, the compensated effective capacity is 1699.82 MW, and the coal-fired power unit capacity compensation price is 351.03 yuan / kW / year.

[0201] As Figure 2The figure shows a schematic diagram of the functional modules of the system of the present invention: the system disclosed in the present invention for realizing the coal-fired power capacity compensation calculation method includes a data acquisition module, a quotation calculation module, a clearing calculation module, a revenue calculation module, a shortfall calculation module and a compensation calculation module; the data acquisition module, the quotation calculation module, the clearing calculation module, the revenue calculation module, the shortfall calculation module and the compensation calculation module are connected in series in sequence; the data acquisition module is used to acquire data information of the target power system and upload the data information to the quotation calculation module; the quotation calculation module is used to construct a quotation function of the power system unit in the electric energy market and the frequency regulation market based on the received data information, and upload the data information to the clearing calculation module; the clearing calculation module is used to calculate the quotation function of the power system unit in the electric energy market and the frequency regulation market based on the received data information , construct the electric energy market clearing model and the frequency regulation market clearing model of the power system units, and upload the data information to the revenue calculation module; the revenue calculation module is used to calculate the revenue of the power system units in the electric energy market and the frequency regulation market according to the received data information and the constructed clearing model, and upload the data information to the shortfall calculation module; the shortfall calculation module is used to calculate the annual fixed cost recovery shortfall of the power system units according to the received data information and the obtained revenue data, and upload the data information to the compensation calculation module; the compensation calculation module is used to calculate the annual effective capacity and compensation price of the coal-fired power units according to the received data information and the obtained shortfall data, and complete the coal-fired power capacity compensation calculation of the target power system.

Claims

1. A method for calculating coal-fired power capacity compensation, comprising the following steps: S1. Obtain data information of the target power system; S2. Based on the obtained data, construct a quotation function for power system units in the electric energy market and frequency regulation market; S3. Based on the obtained data, construct an energy market clearing model and a frequency regulation market clearing model for the power system units; in, The electric energy market clearing model for power system units includes: The power P reported by generator i in time period t i,t and the price declared by generator i in period t represents the energy bidding strategy X of power producer i i,t for Where i is the number of the power generator, i=1 represents a thermal power generator; i=2 represents a pumped storage power generator; i=3 represents a wind power generator; i=4 represents a photovoltaic power generator; i=5 represents a hydropower generator; The following formula is used as the objective function of the electric energy market clearing model for power system units: Where T is the total number of clearing time periods; n is the total number of generators participating in the electricity market clearing; The frequency regulation market clearing model for power system units specifically includes: The frequency regulation capacity declared by generator i in time period t and the frequency regulation mileage price declared by generator i in period t represents the frequency regulation auxiliary service bidding strategy of generator i for Where i is the number of the power generator, i=1 represents a thermal power generator; i=2 represents a pumped storage power generator; i=3 represents a wind power generator; i=4 represents a photovoltaic power generator; i=5 represents a hydropower generator; The following formula is used as the objective function of the frequency regulation market clearing model for power system units: Where T is the total number of clearing time periods; n is the total number of generators participating in the electricity market clearing; k i is the comprehensive frequency regulation performance index of the unit corresponding to the i-th generator; R i is the frequency regulation mileage capacity ratio of the frequency regulation resources of the unit corresponding to the i-th generator; is the fixed compensation price for frequency regulation of the unit corresponding to the i-th generator; S4. Calculate the revenue of the power system units in the electric energy market and the frequency regulation market based on the constructed clearing model. This specifically includes the following steps: The following formula is used to calculate the income L of the unit corresponding to the i-th power producer in the electricity market: e,i : In the formula is the clearing price in the electricity market at time period t; is the result of the unit corresponding to the i-th generator winning the bid in the electricity market during period t; MC i is the quotation function value of the unit corresponding to the i-th generator in the electricity market; The following formula is used to calculate the income L of the unit corresponding to the i-th generator in the frequency regulation market: f,i : In the formula is the FM mileage clearing price in period t in the FM market; is the winning bid result of the unit corresponding to the i-th generator in the frequency regulation market during period t; is the quotation function value of the unit corresponding to the i-th generator in the frequency regulation market; S5. Calculate the annual fixed cost recovery shortfall of the power system units based on the obtained revenue data; S6. Based on the obtained shortfall data, calculate the annual effective capacity and compensation price of the coal-fired power units, and complete the coal-fired power capacity compensation calculation for the target power system.

2. The coal-fired power capacity compensation calculation method according to claim 1 is characterized in that Constructing the bidding function of power system units in the electric energy market includes the following steps: The following formula is used as the quotation function MC1 of thermal power units in the electricity market: MC1=b1+2c1P1 Where P1 is the power output of the thermal power unit; b1 is the first variable cost coefficient of the thermal power unit; c1 is the second variable cost coefficient of the thermal power unit; The following formula is used as the quotation function MC2 of the pumped storage unit in the electricity market: Where R d is the pumping electricity price of the pumped storage unit; λ1 is the loss rate of the pumped storage unit during the pumping process; λ2 is the loss rate of the pumped storage unit during the power generation process; The following formula is used as the quotation function MC3 of wind turbines in the electricity market: MC3=b3 Where b3 is the variable cost coefficient of wind turbine; The following formula is used as the quotation function MC4 of the photovoltaic unit in the electric energy market: MC4=b4 Where b4 is the variable cost coefficient of the photovoltaic unit; The following formula is used as the quotation function MC5 of the hydropower unit in the electricity market: MC5=b5 Where b5 is the variable cost coefficient of the hydropower unit.

3. The coal-fired power capacity compensation calculation method according to claim 2 is characterized in that Constructing a quotation function for power system units in the frequency regulation market includes the following steps: The following formula is used to express the relationship between the average output of a power generator and its electrical energy output: In the formula is the proportional coefficient; P f Frequency regulation capacity provided to the unit; is the average output of the unit; P e Provide electrical energy for the unit; The following formula is used as the quotation function of thermal power units in the frequency regulation market: Where e1 is the cost of wear and tear incurred during the frequency regulation auxiliary service provided by thermal power generators; b 1-1 is the second coal consumption cost coefficient of thermal power units; a 1-1 is the first coal consumption cost coefficient of thermal power units; P1 is the thermal power unit proportional coefficient; f The frequency regulation capacity provided for thermal power units; R1 is the ratio of the frequency regulation mileage to the frequency regulation capacity of thermal power generators; The following formula is used as the quotation function of hydropower units in the frequency regulation market: Where e5 is the cost of wear and tear incurred during the frequency regulation auxiliary service provided by the hydropower generator set; b5 is the variable cost coefficient of the hydropower generator set; is the proportional coefficient of the hydropower unit; The frequency regulation capacity provided for hydropower units; R5 is the ratio of the frequency regulation mileage to the frequency regulation capacity of the hydropower generator; The following formula is used as the quotation function of pumped storage units in the frequency regulation market: Where e2 is the cost of wear and tear incurred when the pumped storage generator set provides frequency regulation auxiliary services; is the average pumped hydro price; is the proportional coefficient of the pumped storage unit; is the frequency regulation capacity provided by the pumped storage unit; λ1 is the loss rate of the pumped storage unit during the pumping process; λ2 is the loss rate of the pumped storage unit during the power generation process; R2 is the ratio of the frequency regulation mileage to the frequency regulation capacity of the pumped storage power plant.

4. The coal-fired power capacity compensation calculation method according to claim 3 is characterized in that Constructing the electric energy market clearing model for power system units includes the following steps: The following formula is used as the constraint condition: Quote upper and lower limit constraints: Where MC i is the quotation function value of the unit corresponding to the i-th generator in the electricity market; is the upper limit of the price quoted in the electricity market in period t; Output upper and lower limit constraints: P i,min ≤P i,t ≤P i,max Where P i,min is the lower limit of the output of the unit corresponding to the i-th generator; P i,max is the output upper limit of the unit corresponding to the i-th generator; Hill climbing constraints: ΔT·P i down ≤|P i,t -P i,t-1 |≤ΔT·P i up Where ΔT is the time interval; P i down is the maximum downward ramp rate of the unit corresponding to the i-th generator; P i up is the maximum upward ramp rate of the unit corresponding to the i-th generator; Supply and demand balance constraints: In the formula is the electric energy demand of the target power system in time period t.

5. The coal-fired power capacity compensation calculation method according to claim 4 is characterized in that Constructing a frequency regulation market clearing model for power system units includes the following steps: The following formula is used as the constraint function: Quote upper and lower limit constraints: In the formula is the quotation function value of the unit corresponding to the i-th generator in the frequency regulation market; is the upper limit of the price offered in the frequency regulation ancillary service market in period t; Capacity upper and lower limit constraints: Where P i,min is the lower limit of the output of the unit corresponding to the i-th generator; P i,max is the output upper limit of the unit corresponding to the i-th generator; is the result of the unit corresponding to the i-th generator winning the bid in the electricity market during time period t; is the upper limit of frequency regulation capacity in the frequency regulation ancillary service market in time period t; Supply and demand balance constraints: In the formula is the frequency regulation capacity demand of the target power system in time period t.

6. The coal-fired power capacity compensation calculation method according to claim 5 is characterized in that The step S5 of calculating the annual fixed cost recovery shortfall of the power system units based on the obtained revenue data specifically includes the following steps: The annual fixed cost recovery shortfall of power system units is calculated using the following formula: ΔC i =L e,i +L f,i -C p,i -C r,i Where ΔC i is the annual fixed cost recovery shortfall of the unit corresponding to the i-th generator; C r,i is the annual operation and maintenance cost of the unit corresponding to the i-th generator; C p,i is the annualized investment cost of the unit corresponding to the i-th generator, and n n is the discount rate, L i is the investment payback period of the unit corresponding to the i-th generator, C inv,i is the investment cost of the unit corresponding to the i-th generator.

7. The coal-fired power capacity compensation calculation method according to claim 6 is characterized in that The step S6 of calculating the annual effective capacity and compensation price of the coal-fired power units based on the obtained shortfall data to complete the coal-fired power capacity compensation calculation for the target power system specifically includes the following steps: The annual effective capacity of coal-fired power units is calculated using the following formula: P r,ii =A AF,ii P ii Where P r,ii is the annual effective capacity of coal-fired power unit ii; P ii is the nameplate output value of coal-fired power unit ii; A AF,ii is the annual availability factor of coal-fired power unit ii, and γ ii is the annual power consumption rate of coal-fired power unit ii, A AH,ii is the annual available hours of coal-fired power unit ii, P PH,ii is the annual statistical hours of coal-fired power unit ii and P PH,ii =A AH,ii +P POH,ii +U UOH,ii , P POH,ii is the annual planned outage hours of coal-fired power unit ii, U UOH,ii is the annual unplanned outage hours of coal-fired power unit ii; Finally, the coal power unit capacity compensation price ρ of coal power unit ii is calculated ii,r for where ΔC ii It is the annual fixed cost recovery shortfall of coal-fired power unit ii of the coal-fired power generator.

8. A system for implementing the coal-fired power capacity compensation calculation method according to any one of claims 1 to 7, characterized in that It includes a data acquisition module, a quotation calculation module, a clearing calculation module, a revenue calculation module, a shortfall calculation module and a compensation calculation module; the data acquisition module, the quotation calculation module, the clearing calculation module, the revenue calculation module, the shortfall calculation module and the compensation calculation module are connected in series in sequence; the data acquisition module is used to obtain data information of the target power system and upload the data information to the quotation calculation module; The quotation calculation module is used to construct the quotation function of the power system unit in the electric energy market and the frequency regulation market based on the received data information, and upload the data information to the clearing calculation module; The clearing calculation module is used to construct the electric energy market clearing model and the frequency regulation market clearing model of the power system units based on the received data information, and upload the data information to the revenue calculation module; The revenue calculation module is used to calculate the revenue of the power system units in the electric energy market and the frequency regulation market based on the received data information and the constructed clearing model, and upload the data information to the deficit calculation module; The shortfall calculation module is used to calculate the annual fixed cost recovery shortfall of the power system unit based on the received data information and the obtained income data, and upload the data information to the compensation calculation module; The compensation calculation module is used to calculate the annual effective capacity and compensation price of the coal-fired power unit based on the received data information and the obtained shortage data, and complete the coal-fired power capacity compensation calculation of the target power system.

Citation Information

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