Spot market and peak shaving auxiliary service market combined clearing method and system

Abstract

The invention discloses a spot market and peak shaving auxiliary service market combined clearing method and system. The method comprises the steps that a market operation mechanism issues transaction boundary conditions and power grid peak regulation demand information; in the day-ahead declaration stage, the thermal generator set performs declaration according to the latest spot market, the wind generating set and the photovoltaic power station perform declaration according to the predicted output curve, and the thermal generator set, the energy storage system and the user perform peak regulation declaration; the market operation mechanism executes settlement to obtain a day-ahead market transaction clearing result; in a real-time market transaction declaration stage, transaction clearing is carried out by adopting a day-ahead market transaction clearing result; and the market operation mechanism carries out real-time market transaction clearing to obtain a real-time market clearing transaction result. According to the scheme, a multi-period combined clearing mode considering the reputation weight is adopted, power generation, load, energy storage and the spot market are efficiently fused, and the peak regulation potential of the market is fully exerted.

Description

Technical Field

[0001] The present invention belongs to the field of power market clearing, and in particular relates to a joint clearing method and system for a spot market and a peak load ancillary service market. Background Art

[0002] In order to cope with the growth of the proportion of new energy, it is necessary to improve the market mechanism of power auxiliary services, peak load regulation and its market construction. The system peak load regulation problem is solved through the spot market. However, the proportion of gas-fired units that can be used as flexible adjustment resources in thermal power units is small, and the proportion of coal-fired units that cannot be started and stopped frequently is high. The peak load regulation problem cannot be solved only through the spot market. In the case where the spot market and the peak load regulation auxiliary service market are cleared independently, the clearing result of the peak load regulation market must be based on the spot market. In the peak load regulation market, if the unit can reduce the output for peak load regulation in a certain period, but due to the restriction of the unit's climbing constraint, the next period after the reduction in output may not reach the set output of the spot clearing, thereby losing the peak load regulation capacity in that period. Merging and optimizing the peak load regulation market and the spot electricity energy market can obtain better results and ensure the feasibility of the plan.

[0003] Spot electricity energy markets in various regions are being actively prepared and operated, but the problem of joint operation of multiple markets has inevitably arisen. There are multiple participants in the electricity market, each of which is self-interested and may engage in behaviors that harm the interests of others, such as falsely reporting energy values. Traditional methods cannot regulate spot transactions and safeguard the interests of all parties. The existing market-based trading mechanism still has difficulty in motivating market players to actively reduce deviations. Summary of the invention

[0004] In order to address the deficiencies in the prior art, the present invention provides a method and system for jointly clearing the spot market and the peak-shaving ancillary service market, so as to improve the overall benefits of the joint clearing of the spot market and the peak-shaving ancillary service market and enhance the economy of the system.

[0005] In order to solve the above technical problems, the present invention adopts the following technical solutions.

[0006] The present invention first discloses a joint clearing method of the spot market and the peak load ancillary service market, the method comprising the following steps:

[0007] In the day-ahead declaration stage, the declaration information of thermal power generating units is received, the predicted output declaration information of wind power generating units and photovoltaic power stations is received, and the peak regulation declaration information of thermal power generating units, energy storage systems and users is received according to the peak regulation demand information of the power grid;

[0008] Based on the declaration information of the thermal power units, the predicted output declaration information of the wind and solar units and photovoltaic power stations, the peak regulation declaration information and the reputation value of the power generator, the market operation agency performs settlement operations to obtain the day-ahead market transaction clearing results and updates the reputation value, wherein the day-ahead market transaction clearing results include the output plan and clearing price of the thermal power units for the next day, the winning bid power and peak regulation power and price of each market entity;

[0009] Based on the declaration information of the thermal power units, the predicted output declaration information of the wind and solar units and photovoltaic power stations, the peak regulation declaration information and the updated credibility value, the market operation organization conducts real-time market transaction clearing to obtain real-time market clearing transaction results. The real-time market clearing transaction results include the output plan and clearing price of the thermal power units in the future period, the winning electricity and peak regulation electricity and prices of each market entity.

[0010] The present invention further includes the following preferred embodiments:

[0011] The receiving of declaration information of thermal power generating sets, receiving predicted output declaration information of wind power generating sets and photovoltaic power stations, and receiving peak regulation declaration information of thermal power generating sets, energy storage systems and users according to the peak regulation demand information of the power grid further includes:

[0012] When applying for market application, thermal power units submit electricity price curves, which are divided into segments. Each segment includes the starting value, ending value and corresponding price of the output range, and the price of each segment is kept within the set range. For power generation units with minimum non-zero power generation requirements, the starting point of the first output interval is the minimum power generation of the unit, and the end point of the last output interval is the maximum power generation output of the unit. The length of each quotation segment cannot be less than [(the maximum technical output of the unit-the minimum technical output of the unit) / n]%; n is the number of segments of the electricity price curve.

[0013] Wind power and solar photovoltaics participate in the spot market by bidding quantity, and are preferentially sold at zero price in this market;

[0014] Both power generators and users use a segmented quotation method during the peak-shaving process. When participating in the market, they use a peak-shaving contribution-price curve and a volume-based pricing method. The peak-shaving contribution of thermal power units is the power generated below the minimum technical output. On the basis of the minimum technical output, the quotation is made in the form of a downward capacity ratio, with the rated capacity as a quotation range until the minimum peak-shaving output is reached. The user's peak power demand is the power demand above the load benchmark. On the basis of the load benchmark, the price is priced by increasing the power demand, and the user sets the pricing range by himself. The energy storage system adjusts the peak power by charging, and the pricing range is set by the energy storage system itself. The peak contribution and price curve is adjusted to ensure that it is a monotonic, continuous and non-decreasing image.

[0015] The user's load benchmark is the quantitative data of the user's spontaneously changing load under normal circumstances. Before launching the peak auxiliary service market, the dispatching agency conducts a load benchmark test on the user to verify that his or her electricity consumption pattern is relatively stable, and requires the user to declare in the market according to the test results.

[0016] The market operation institution performs settlement operations based on the declaration information of the thermal power units, the predicted output declaration information of the wind and solar units and photovoltaic power stations, the peak regulation declaration information and the credibility of the power generators to obtain the day-ahead market transaction clearing results, further including:

[0017] The day-ahead market clearing objective function is defined as the maximum overall benefit of multiple market entities:

[0018] max B=B1+B2+B3

[0019]

[0020] T is the total number of time periods; I is the number of thermal power units, is the clearing price of thermal power unit i in the day-ahead market during period t; is the cost price of thermal power unit i in the day-ahead market during period t; is the winning output of thermal power unit i in the day-ahead market during period t; The peak output of thermal power unit i in the day-ahead market during period t; is the peak load compensation price of thermal power unit i in the day-ahead market during period t; is the start-up and shutdown cost of thermal power unit i in the day-ahead market during period t; is the day-ahead credit cost; Q is the number of energy storage units; is the day-ahead clearing price of the energy storage unit q when it discharges during period t; The day-ahead cleared electricity quantity of the energy storage unit q when discharging in period t; is the day-ahead clearing price of energy storage unit q when charging in period t; The day-ahead cleared electricity quantity of the energy storage unit q when charging in period t; The day-ahead compensation peak-shaving electricity price of energy storage unit q in period t; The day-ahead bid for peak-shaving power for energy storage q in period t; is the energy storage cost of energy storage unit q in period t; J is the number of users; The day-ahead market compensation peak-shaving electricity price for user j in period t; is the peak-shaving power that user j won in the day-ahead market during period t, is the day-ahead market clearing price for user j in period t;

[0021] The reputation value is introduced to evaluate the reputation trading behavior of power producers. The reputation value calculation process includes the following two steps:

[0022] (1) Set the reputation value of thermal power unit i The initial value is 1;

[0023] (2) Based on the transaction number M of thermal power unit i i Update the reputation value based on the deviation degree of each transaction:

[0024]

[0025]

[0026] α i,n is the deviation degree of the nth transaction of thermal power unit i, 0≤α i,n ≤1;M i is the number of transactions; is the reputation value; For reputation cost; is the coefficient of reputation cost;

[0027] If the trading behaviors of thermal power unit i are all independent of deviations, its reputation value is 1; if there are deviations in the trading behaviors of thermal power unit i, the reputation value will decrease as the deviation increases, and the reputation value will increase as the deviation decreases; the reputation value determines the reputation cost of thermal power unit i in the market clearing problem.

[0028] The constraints of the objective function include the system load balance constraint:

[0029]

[0030] are the day-ahead predicted outputs of wind power k and photovoltaic power v in period t respectively; is the abandoned wind power of wind turbine k in period t on the previous day; is the abandoned photovoltaic power of photovoltaic v in period t the day before; is the day-ahead discharge load of energy storage q in period t; is the day-ahead forecast value of the total system load during period t; the left side of the formula is the total output of thermal power, wind power, photovoltaic power and energy storage discharge considering wind and solar power abandonment, and the right side of the formula is the total system load considering the user side participating in peak regulation.

[0031] The constraints of the objective function include the line active power flow constraints:

[0032]

[0033] are the power generation transfer distribution factors of the nodes where thermal power unit i, wind power k, photovoltaic v, load node b, user j, and vertical energy storage q are located on line l; is the day-ahead forecast load of node b in period t; B is the total number of load nodes; f l min , f l max are the minimum and maximum transmission powers of line l respectively;

[0034] The constraints of the objective function include the constraints of the thermal power unit:

[0035]

[0036] P i min , P i max , R i min are the maximum technical output, minimum technical output and minimum peak load output of thermal power unit i respectively; τ i,t is the start and stop status of thermal power unit i in time period t; The day-ahead winning peak load-shaving power of thermal power unit i in period t;

[0037] If the thermal power unit does not participate in peak load regulation, it only needs to meet the maximum and minimum technical output constraints; if the thermal power unit participates in peak load regulation, the sum of the thermal power unit's output bid and the peak load regulation bid must be equal to the unit's minimum technical output, and the output bid must be greater than the minimum peak load regulation output.

[0038] The real-time market transaction clearing is performed by the market operation institution based on the declared information of the thermal power unit, the predicted output declared information of the wind and solar units and the photovoltaic power station, the peak regulation declared information and the updated credit value, to obtain the real-time market clearing transaction result, further comprising:

[0039] The real-time market clearing objective function is defined as:

[0040] max B'=B'1+B'2+B'3

[0041]

[0042] is the clearing price of thermal power unit i in the real-time market during period t; is the cost price of thermal power unit i in the real-time market during period t; is the winning output of thermal power unit i in the day-ahead market during period t; Peak load regulation for thermal power unit i in the real-time market during period t; is the peak load compensation price of thermal power unit i in the day-ahead market during period t; For real-time reputation cost; is the real-time clearing price of energy storage unit q when discharging in period t; It is the real-time clearing power of the energy storage unit q when discharging in period t; is the real-time clearing price of energy storage unit q when charging in period t; The real-time clearing power of the energy storage unit q when it is charged during period t; The day-ahead compensation peak-shaving electricity price of energy storage unit q in period t; The day-ahead bid for peak-shaving power for energy storage q in period t; The day-ahead market compensation peak-shaving electricity price for user j in period t; is the peak-shaving power that user j won in the day-ahead market during period t, is the day-ahead market clearing price for user j in period t;

[0043] The constraints include:

[0044] System load balancing constraints:

[0045]

[0046] is the real-time market bid output of thermal power unit i in period t, is the real-time abandoned wind power of wind turbine k in period t; is the real-time abandoned photovoltaic power of photovoltaic v in period t; The real-time winning bid for peak-shaving power of user j in period t, The real-time winning bid for peak-shaving power for energy storage q in period t; are the real-time predicted outputs of wind power k and photovoltaic power v in period t respectively; is the real-time discharge load of energy storage q in period t; is the real-time forecast value of the total system load during period t;

[0047] Line active power flow constraints:

[0048]

[0049] Where: is the real-time predicted load of node b in period t.

[0050] The present invention also discloses a spot market and peak load ancillary service market joint clearing system using the aforementioned spot market and peak load ancillary service market joint clearing method, comprising:

[0051] The day-ahead declaration module is used to receive declaration information of thermal power generating units, receive forecast output declaration information of wind power generating units and photovoltaic power stations, and receive peak regulation declaration information of thermal power generating units, energy storage systems and users according to the power grid peak regulation demand information during the day-ahead declaration stage;

[0052] The day-ahead market transaction clearing module is used to perform settlement operations through the market operation agency based on the declaration information of the thermal power unit, the predicted output declaration information of the wind and solar units and photovoltaic power stations, the peak regulation declaration information and the reputation value of the power generator, to obtain the day-ahead market transaction clearing result and update the reputation value, wherein the day-ahead market transaction clearing result includes the output plan and clearing price of the thermal power unit for the next day, the winning power and peak regulation power and price of each market entity;

[0053] The real-time market transaction clearing module is used to perform real-time market transaction clearing through the market operation agency based on the declaration information of the thermal power units, the predicted output declaration information of the wind and solar units and photovoltaic power stations, the peak regulation declaration information and the updated credit value, and obtain the real-time market clearing transaction results. The real-time market clearing transaction results include the output plan and clearing price of the thermal power units in the future period, the winning power and peak regulation power and price of each market entity.

[0054] Accordingly, the present application also discloses a terminal, including a processor and a storage medium;

[0055] The storage medium is used to store instructions;

[0056] The processor is used to operate according to the instructions to execute the steps of the aforementioned joint clearing method of the spot market and the peak-shaving ancillary service market.

[0057] Correspondingly, the present application also discloses a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the steps of the aforementioned joint clearing method of the spot market and the peak-shaving ancillary service market are implemented.

[0058] The beneficial effect of the present invention is that, compared with the prior art, the present invention provides a joint clearing method and system for the spot market and the peak-shaving auxiliary service market, adopts a multi-period joint clearing mode that takes credit weights into consideration, efficiently integrates power generation, load, energy storage and the spot market, and gives full play to the market's peak-shaving potential; guided by the market economy, introduces credit factors, considers equipment operation constraints and energy balance, formulates multi-period day-ahead and real-time spot market joint clearing plans, and improves the economic benefits of various market players. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 It is a schematic diagram of the framework of the joint clearing mechanism in the present invention;

[0060] Figure 2 This is a flow chart of the joint clearing of day-ahead and real-time spot and peak-shaving assistance in the present invention. DETAILED DESCRIPTION

[0061] In order to make the purpose, technical solution and advantages of the present invention more clear, the technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0062] The embodiments described in this application are only some embodiments of the present invention, not all embodiments. Based on the spirit of the present invention, other embodiments obtained by ordinary technicians in this field without creative work are all within the protection scope of the present invention.

[0063] In view of the shortcomings of the prior art, the present invention proposes a joint clearing method and system for the spot market and the peak load ancillary service market. Figure 1 , adopting a two-stage clearing strategy of day-ahead and real-time, by jointly optimizing the peak-shaving market and the spot electricity energy market, unified setting of optimization objectives and constraints to improve optimization effects and ensure feasibility.

[0064] Figure 2 The flowchart of the joint clearing of the day-ahead and real-time spot and peak-shaving auxiliary services in this method. The joint clearing method of the spot market and the peak-shaving auxiliary service market disclosed in the present invention includes the following steps:

[0065] Step 1: In the day-ahead declaration stage, the declaration information of thermal power generating units is received, the forecast output declaration information of wind power generating units and photovoltaic power stations is received, and the peak regulation declaration information of thermal power generating units, energy storage systems and users is received according to the peak regulation demand information of the power grid.

[0066] The entities participating in the settlement of the electricity spot market are power plants, operators, energy storage companies and users. In the electricity market bidding, the participants include power generators such as thermal power units, wind turbines and photovoltaic power stations, as well as power grid-based operating companies, which are responsible for the purchase and sale of electricity to ensure the stable operation of the power system; energy storage companies refer to companies that can cope with the peak-valley load difference of the power grid and stabilize the fluctuation of renewable energy, and use their flexible electricity storage capacity to actively participate in market competition; the user side refers to the party that meets the load demand, can provide peak-shaving services, and participate in energy trading. In order to effectively balance the distribution of interests of all parties and the stable operation of the system, power generators, operators, energy storage companies and users operate by signing electricity mutual insurance contracts with power grid operators.

[0067] When declaring in the market a few days ago, thermal power units submitted an "electricity-price" curve, which is divided into a maximum of n segments, and each segment must include the starting value, ending value and corresponding price of the output range. Keep the price of each segment within the set range; for generators with a minimum non-zero power generation requirement, the starting point of the first output interval is the minimum power generation of the unit, and the end point of the last output interval is the maximum power generation output of the unit. As the output increases, the quotation curve must be monotonically non-decreasing. The length of each quotation segment cannot be less than [(maximum technical output of the unit-minimum technical output of the unit) / n]% to prevent the unit from testing high prices, setting the length between the end point and the starting point of the quotation segment where a high price can be declared too long, and raising the market clearing price.

[0068] In order to promote the consumption of new energy, wind power generation and solar photovoltaics participate in the spot market by reporting quantity rather than quoting prices, and they are preferentially sold at zero price in this market.

[0069] Both power generators and users use segmented quotation methods in the peak-shaving process, and participate in the market with the "peak-shaving contribution-price" curve and volume-based pricing. The peak-shaving contribution of thermal power units is the power generated below the minimum technical output. On the basis of the minimum technical output, the quotation is made in the form of a downward capacity ratio, with the rated capacity as a quotation interval until the minimum peak-shaving output. The user's peak power demand is the power demand above the load benchmark. On the basis of the load benchmark, the price is set by increasing the power demand, and the user sets the pricing range by himself. The energy storage system adjusts the peak power by charging, and the pricing range is set by the energy storage system. Adjust the peak contribution and price curve to ensure that it is a monotonically continuous non-decreasing image, which can be divided into at most m segments, each of which contains the peak contribution starting point, end point and corresponding price. At the same time, in order to stabilize the market operation and take into account the economic efficiency of peak-shaving, set upper and lower limits for each quotation.

[0070] The user's load benchmark is defined as the quantitative data of the user's spontaneous load changes under normal circumstances, which is used to evaluate the degree of user participation in the electricity market. To ensure the effectiveness of user response, the dispatching agency conducts load benchmark tests on users before launching the peak auxiliary service market to verify that their electricity consumption patterns are relatively stable, and requires users to declare in the market according to the test results.

[0071] Step 2: Based on the declaration information of the thermal power units, the predicted output declaration information of the wind and solar units and photovoltaic power stations, the peak regulation declaration information and the credibility of the power generator, the market operation agency performs settlement operations to obtain the day-ahead market transaction clearing results and updates the credibility value, wherein the day-ahead market transaction clearing results include the next day's thermal power unit output plan and clearing price, the winning electricity and peak regulation electricity and prices of each market entity.

[0072] Firstly, the day-ahead market clearing objective function is defined as the maximum overall benefit of multiple market entities.

[0073] maxB=B1+B2+B3

[0074]

[0075] T is the total number of time periods; I is the number of thermal power units, is the clearing price of thermal power unit i in the day-ahead market during period t; is the cost price of thermal power unit i in the day-ahead market during period t; is the winning output of thermal power unit i in the day-ahead market during period t; The peak output of thermal power unit i in the day-ahead market during period t; is the peak load compensation price of thermal power unit i in the day-ahead market during period t; is the start-up and shutdown cost of thermal power unit i in the day-ahead market during period t; is the day-ahead credit cost; Q is the number of energy storage units; is the day-ahead clearing price of the energy storage unit q when it discharges during period t; The day-ahead cleared electricity quantity of the energy storage unit q when discharging in period t; is the day-ahead clearing price of energy storage unit q when charging in period t; The day-ahead cleared electricity quantity of the energy storage unit q when charging in period t; The day-ahead compensation peak-shaving electricity price of energy storage unit q in period t; The day-ahead bid for peak-shaving power for energy storage q in period t; is the energy storage cost of energy storage unit q in period t; J is the number of users; The day-ahead market compensation peak-shaving electricity price for user j in period t; is the peak-shaving power that user j won in the day-ahead market during period t, is the day-ahead market clearing price for user j in period t.

[0076] Operators need to use peak load ancillary services to balance the differences in power delivery between generators, and as the differences increase, the cost of ancillary services also increases. To this end, a credit value is introduced to evaluate the credit trading behavior of generators. The credit value calculation process includes the following two steps:

[0077] (1) Set the reputation value of thermal power unit i The initial value is 1.

[0078] (2) Based on the transaction number M of thermal power unit i i Update the reputation value based on the deviation degree of each transaction:

[0079]

[0080]

[0081] α i,n is the deviation degree of the nth transaction of thermal power unit i, 0≤α i,n ≤1;M i is the number of transactions; is the reputation value; For reputation cost; is the coefficient of reputation cost.

[0082] If the trading behaviors of thermal power unit i are all bias-independent, its reputation value is 1. If there is a deviation in the trading behaviors of thermal power unit i, the reputation value will decrease as the deviation increases, and the reputation value will increase as the deviation decreases. The reputation value determines the reputation cost of thermal power unit i in the market clearing problem.

[0083] The constraints include system load balance constraints, line active power flow constraints and thermal power unit constraints.

[0084] The system load balancing constraints are:

[0085] are the day-ahead predicted outputs of wind power k and photovoltaic power v in period t respectively; is the abandoned wind power of wind turbine k in period t on the previous day; is the abandoned photovoltaic power of photovoltaic v in period t the day before. is the day-ahead discharge load of energy storage q in period t; is the day-ahead forecast value of the total system load during period t. The left side of the formula is the total output of thermal power, wind power, photovoltaic power and energy storage discharge considering wind and solar power abandonment, and the right side of the formula is the total system load considering the user side participating in peak regulation.

[0086] The line active power flow constraint is:

[0087]

[0088] are the power generation transfer distribution factors of the nodes where thermal power unit i, wind power k, photovoltaic v, load node b, user j, and vertical energy storage q are located on line l; is the day-ahead forecast load of node b in period t; B is the total number of load nodes; f l min , f l max are the minimum and maximum transmission powers of line l respectively.

[0089] The constraints of thermal power units are:

[0090]

[0091] P i min , P i max , R i min are the maximum technical output, minimum technical output and minimum peak load output of thermal power unit i respectively; τ i,t is the start and stop status of thermal power unit i in time period t; The day-ahead winning bid for peak-shaving power for thermal power unit i in period t.

[0092] If the thermal power unit does not participate in peak load regulation, it only needs to meet the maximum and minimum technical output constraints; if the thermal power unit participates in peak load regulation, the sum of the thermal power unit's output bid and the peak load regulation bid must be equal to the unit's minimum technical output, and the output bid must be greater than the minimum peak load regulation output.

[0093] Other constraints are the same as those of the conventional SCUC model, including system positive reserve capacity constraints, system negative reserve capacity constraints, unit ramping constraints, etc.

[0094] Step 3: Based on the declaration information of the thermal power units, the predicted output declaration information of the wind and solar units and photovoltaic power stations, the peak regulation declaration information and the updated credit value, the market operation agency conducts real-time market transaction clearing to obtain real-time market clearing transaction results. The real-time market clearing transaction results include the output plan and clearing price of the thermal power units in the future period, the winning electricity and peak regulation electricity and prices of each market entity.

[0095] The real-time market clearing objective function is defined as:

[0096] maxB'=B1'+B'2+B3'

[0097]

[0098] is the clearing price of thermal power unit i in the real-time market during period t; is the cost price of thermal power unit i in the real-time market during period t; is the winning output of thermal power unit i in the day-ahead market during period t; Peak load regulation for thermal power unit i in the real-time market during period t; is the peak load compensation price of thermal power unit i in the day-ahead market during period t; For real-time reputation cost; is the real-time clearing price of energy storage unit q when discharging in period t; It is the real-time clearing power of the energy storage unit q when discharging in period t; is the real-time clearing price of energy storage unit q when charging in period t; The real-time clearing power of the energy storage unit q when it is charged during period t; The day-ahead compensation peak-shaving electricity price of energy storage unit q in period t; The day-ahead bid for peak-shaving power for energy storage q in period t; The day-ahead market compensation peak-shaving electricity price for user j in period t; is the peak-shaving power that user j won in the day-ahead market during period t, is the day-ahead market clearing price for user j in period t.

[0099] The constraints include:

[0100] System load balancing constraints:

[0101]

[0102] is the real-time market bid output of thermal power unit i in period t, is the real-time abandoned wind power of wind turbine k in period t; is the real-time abandoned power of photovoltaic v in period t. The real-time winning bid for peak-shaving power of user j in period t, The real-time winning bid for peak-shaving power for energy storage q in period t; are the real-time predicted outputs of wind power k and photovoltaic power v in period t respectively; is the real-time discharge load of energy storage q in period t; It is the real-time forecast value of the total system load in period t.

[0103] Line active power flow constraints:

[0104]

[0105] Where: is the real-time predicted load of node b in period t.

[0106] In the real-time market, the upper and lower output constraints of thermal power units are the same as those in the day-ahead market.

[0107] The constraints such as unit ramp constraints are consistent with the conventional safety constraint economic dispatch model and will not be repeated here.

[0108] The beneficial effect of the present invention is that, compared with the prior art, the present invention provides a joint clearing method and system for the spot market and the peak-shaving auxiliary service market, adopts a multi-period joint clearing mode that takes credit weights into consideration, efficiently integrates power generation, load, energy storage and the spot market, and gives full play to the peak-shaving potential of the market; guided by the market economy, introduces credit factors, considers equipment operation constraints and energy balance, and formulates a multi-period day-ahead and real-time spot market joint clearing plan.

[0109] The present invention may be a system, a method and / or a computer program product. The present invention also discloses a spot market and peak load ancillary service market joint clearing system based on the aforementioned spot market and peak load ancillary service market joint clearing method, comprising:

[0110] The day-ahead declaration module is used to receive declaration information of thermal power generating units, receive forecast output declaration information of wind power generating units and photovoltaic power stations, and receive peak regulation declaration information of thermal power generating units, energy storage systems and users according to the power grid peak regulation demand information during the day-ahead declaration stage;

[0111] The day-ahead market transaction clearing module is used to perform settlement operations through the market operation agency based on the declaration information of the thermal power unit, the predicted output declaration information of the wind and solar units and photovoltaic power stations, the peak regulation declaration information and the reputation value of the power generator, to obtain the day-ahead market transaction clearing result and update the reputation value, wherein the day-ahead market transaction clearing result includes the output plan and clearing price of the thermal power unit for the next day, the winning power and peak regulation power and price of each market entity;

[0112] The real-time market transaction clearing module is used to perform real-time market transaction clearing through the market operation agency based on the declaration information of the thermal power units, the predicted output declaration information of the wind and solar units and photovoltaic power stations, the peak regulation declaration information and the updated credit value, and obtain the real-time market clearing transaction results. The real-time market clearing transaction results include the output plan and clearing price of the thermal power units in the future period, the winning power and peak regulation power and price of each market entity.

[0113] Based on the spirit of the present invention, those skilled in the art can easily think that a computer program product can be obtained based on the aforementioned joint clearing method of the spot market and the peak-shaving ancillary service market. The computer program product may include a computer-readable storage medium, which carries computer-readable program instructions for enabling a processor to implement various aspects of the present disclosure. That is, the present application also includes a terminal, including a processor and a storage medium; the storage medium is used to store instructions; the processor is used to operate according to the instructions to execute the steps according to the aforementioned joint clearing method of the spot market and the peak-shaving ancillary service market.

[0114] Computer readable storage medium can be a tangible device that can keep and store the instructions used by the instruction execution device. Computer readable storage medium can be, for example, - but not limited to - electrical storage device, magnetic storage device, optical storage device, electromagnetic storage device, semiconductor storage device or any suitable combination of the above. More specific examples (non-exhaustive list) of computer readable storage medium include: portable computer disk, hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static random access memory (SRAM), portable compact disk read-only memory (CD-ROM), digital versatile disk (DVD), memory stick, floppy disk, mechanical encoding device, for example, punch card or groove protrusion structure with instructions stored thereon and any suitable combination of the above. Computer readable storage medium used here is not interpreted as instantaneous signal itself, such as radio wave or other free propagating electromagnetic wave, electromagnetic wave propagated by waveguide or other transmission medium (for example, light pulse by optical fiber cable) or electrical signal transmitted by wire.

[0115] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, optical fiber transmissions, wireless transmissions, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in the computer-readable storage medium in each computing / processing device.

[0116] The computer program instructions for performing the operation of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages-such as Smalltalk, C++, etc., and conventional procedural programming languages-such as "C" language or similar programming languages. Computer-readable program instructions may be executed completely on a user's computer, partially on a user's computer, as an independent software package, partially on a user's computer, partially on a remote computer, or completely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network-including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., using an Internet service provider to connect via the Internet). In some embodiments, an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA) may be personalized by utilizing the state information of a computer-readable program instruction, and the electronic circuit may execute a computer-readable program instruction, thereby realizing various aspects of the present disclosure.

[0117] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents, and any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A joint clearing method for spot market and peak load ancillary service market, characterized in that: include: In the day-ahead declaration stage, the declaration information of thermal power units is received, the predicted output declaration information of wind and solar units is received, and the peak regulation declaration information of each unit is received according to the peak regulation demand information of the power grid; Based on the declaration information in the day-ahead declaration stage and the credibility of the power generator, the market operation agency performs settlement operations to obtain the day-ahead market transaction clearing results, including the output plan and clearing price of the thermal power units for the next day, the winning bid power and peak load power and prices of each market entity; Based on the declaration information of the day-ahead declaration stage and the updated credit value, real-time market transaction clearing is carried out through the market operating agency to obtain real-time market clearing transaction results, including the output plan and clearing price of thermal power units in the future period, the winning electricity and peak-shaving electricity and prices of each market player.

2. The joint clearing method of the spot market and the peak load ancillary service market according to claim 1 is characterized in that: The receiving of declaration information of thermal power generating sets, receiving predicted output declaration information of wind power generating sets and photovoltaic power stations, and receiving peak regulation declaration information of thermal power generating sets, energy storage systems and users according to the peak regulation demand information of the power grid further includes: When applying for market application, thermal power units submit electricity price curves, which are divided into segments. Each segment includes the starting value, ending value and corresponding price of the output range, and the price of each segment is kept within the set range. For power generation units with minimum non-zero power generation requirements, the starting point of the first output interval is the minimum power generation of the unit, and the end point of the last output interval is the maximum power generation output of the unit. The length of each quotation segment cannot be less than [(the maximum technical output of the unit-the minimum technical output of the unit) / n]%; n is the number of segments of the electricity price curve. Wind power and solar photovoltaics participate in the spot market by quoting quantity, and are preferentially sold at zero price in this market; Both power generators and users use a segmented quotation method during the peak-shaving process. When participating in the market, they use a peak-shaving contribution-price curve and a volume-based pricing method. The peak-shaving contribution of thermal power units is the power generated below the minimum technical output. On the basis of the minimum technical output, the quotation is made in the form of a downward capacity ratio, with the rated capacity as a quotation range until the minimum peak-shaving output is reached. The user's peak power demand is the power demand above the load benchmark. On the basis of the load benchmark, the price is priced by increasing the power demand, and the user sets the pricing range by himself. The energy storage system adjusts the peak power by charging, and the pricing range is set by the energy storage system itself. The peak contribution and price curve is adjusted to ensure that it is a monotonic, continuous and non-decreasing image.

3. The joint clearing method of the spot market and the peak load ancillary service market according to claim 2 is characterized in that: The user's load benchmark is the quantitative data of the user's spontaneously changing load under normal circumstances. Before launching the peak auxiliary service market, the dispatching agency conducts a load benchmark test on the user to verify that his or her electricity consumption pattern is relatively stable, and requires the user to declare in the market according to the test results.

4. The joint clearing method of the spot market and the peak load ancillary service market according to claim 3 is characterized in that: The market operation institution performs settlement operations based on the declaration information of the thermal power units, the predicted output declaration information of the wind and solar units and photovoltaic power stations, the peak regulation declaration information and the credibility of the power generators to obtain the day-ahead market transaction clearing results, further including: The day-ahead market clearing objective function is defined as the maximum overall benefit of multiple market entities: maxB=B1+B2+B3 T is the total number of time periods; I is the number of thermal power units, is the clearing price of thermal power unit i in the day-ahead market during period t; is the cost price of thermal power unit i in the day-ahead market during period t; is the winning output of thermal power unit i in the day-ahead market during period t; The peak output of thermal power unit i in the day-ahead market during period t; is the peak load compensation price of thermal power unit i in the day-ahead market during period t; is the start-up and shutdown cost of thermal power unit i in the day-ahead market during period t; is the day-ahead credit cost; Q is the number of energy storage units; is the day-ahead clearing price of the energy storage unit q when it discharges during period t; The day-ahead cleared electricity quantity of the energy storage unit q when discharging in period t; is the day-ahead clearing price of energy storage unit q when charging in period t; The day-ahead cleared electricity quantity of the energy storage unit q when charging in period t; The day-ahead compensation peak-shaving electricity price of energy storage unit q in period t; The day-ahead bid for peak-shaving power for energy storage q in period t; is the energy storage cost of energy storage unit q in period t; J is the number of users; The day-ahead market compensation peak-shaving electricity price for user j in period t; is the peak-shaving power that user j won in the day-ahead market during period t, is the day-ahead market clearing price for user j in period t; The reputation value is introduced to evaluate the reputation trading behavior of power producers. The reputation value calculation process includes the following two steps: (1) Set the reputation value of thermal power unit i The initial value is 1; (2) Based on the transaction number M of thermal power unit i i Update the reputation value based on the deviation degree of each transaction: α i,n is the deviation degree of the nth transaction of thermal power unit i, 0≤α i,n ≤1;M i is the number of transactions; is the reputation value; For reputation cost; is the coefficient of reputation cost; If the trading behaviors of thermal power unit i are all independent of deviations, its reputation value is 1; if there are deviations in the trading behaviors of thermal power unit i, the reputation value will decrease as the deviation increases, and the reputation value will increase as the deviation decreases; the reputation value determines the reputation cost of thermal power unit i in the market clearing problem.

5. The joint clearing method of the spot market and the peak load ancillary service market according to claim 4 is characterized in that: The constraints of the objective function include the system load balance constraint: are the day-ahead predicted outputs of wind power k and photovoltaic power v in period t respectively; is the abandoned wind power of wind turbine k in period t on the previous day; is the abandoned photovoltaic power of photovoltaic v in period t the day before; is the day-ahead discharge load of energy storage q in period t; is the day-ahead forecast value of the total system load during period t; the left side of the formula is the total output of thermal power, wind power, photovoltaic power and energy storage discharge considering wind and solar power abandonment, and the right side of the formula is the total system load considering the user side participating in peak regulation.

6. The joint clearing method of the spot market and the peak load ancillary service market according to claim 5 is characterized in that: The constraints of the objective function include the line active power flow constraints: are the power generation transfer distribution factors of the nodes where thermal power unit i, wind power k, photovoltaic v, load node b, user j, and vertical energy storage q are located on line l; is the day-ahead forecast load of node b in period t; B is the total number of load nodes; f l min , f l max are the minimum and maximum transmission powers of line l respectively.

7. The joint clearing method of the spot market and the peak load ancillary service market according to claim 6 is characterized in that: The constraints of the objective function include the constraints of the thermal power unit: P i min , P i max , R i min are the maximum technical output, minimum technical output and minimum peak load output of thermal power unit i respectively; τ i,t is the start and stop status of thermal power unit i in time period t; The day-ahead winning peak load-shaving power of thermal power unit i in period t; If the thermal power unit does not participate in peak load regulation, it only needs to meet the maximum and minimum technical output constraints; if the thermal power unit participates in peak load regulation, the sum of the thermal power unit's output bid and the peak load regulation bid must be equal to the unit's minimum technical output, and the output bid must be greater than the minimum peak load regulation output.

8. The joint clearing method of the spot market and the peak load ancillary service market according to claim 7 is characterized in that: The real-time market transaction clearing is performed by the market operation institution based on the declared information of the thermal power unit, the predicted output declared information of the wind and solar units and the photovoltaic power station, the peak regulation declared information and the updated credit value, to obtain the real-time market clearing transaction result, further comprising: The real-time market clearing objective function is defined as: maxB'=B1'+B'2+B3' is the clearing price of thermal power unit i in the real-time market during period t; is the cost price of thermal power unit i in the real-time market during period t; is the winning output of thermal power unit i in the day-ahead market during period t; Peak load regulation for thermal power unit i in the real-time market during period t; is the peak load compensation price of thermal power unit i in the day-ahead market during period t; For real-time reputation cost; is the real-time clearing price of energy storage unit q when discharging in period t; It is the real-time clearing power of the energy storage unit q when discharging in period t; is the real-time clearing price of energy storage unit q when charging in period t; The real-time clearing power of the energy storage unit q when it is charged during period t; The day-ahead compensation peak-shaving electricity price of energy storage unit q in period t; The day-ahead bid for peak-shaving power for energy storage q in period t; The day-ahead market compensation peak-shaving electricity price for user j in period t; is the peak-shaving power that user j won in the day-ahead market during period t, is the day-ahead market clearing price for user j in period t; The constraints include: System load balancing constraints: is the real-time market bid output of thermal power unit i in period t, is the real-time abandoned wind power of wind turbine k in period t; is the real-time abandoned photovoltaic power of photovoltaic v in period t; The real-time winning bid for peak-shaving power of user j in period t, The real-time winning bid for peak-shaving power for energy storage q in period t; are the real-time predicted outputs of wind power k and photovoltaic power v in period t respectively; is the real-time discharge load of energy storage q in period t; is the real-time forecast value of the total system load during period t; Line active power flow constraints: Where: is the real-time predicted load of node b in period t.

9. A joint clearing system for spot market and peak load ancillary service market, characterized in that: include: The day-ahead declaration module is used to receive declaration information of thermal power generating units, receive forecast output declaration information of wind power generating units and photovoltaic power stations, and receive peak regulation declaration information of thermal power generating units, energy storage systems and users according to the power grid peak regulation demand information during the day-ahead declaration stage; The day-ahead market transaction clearing module is used to perform settlement operations through the market operation agency based on the declaration information of the thermal power unit, the predicted output declaration information of the wind and solar units and photovoltaic power stations, the peak regulation declaration information and the reputation value of the power generator, to obtain the day-ahead market transaction clearing result and update the reputation value, wherein the day-ahead market transaction clearing result includes the output plan and clearing price of the thermal power unit for the next day, the winning power and peak regulation power and price of each market entity; The real-time market transaction clearing module is used to perform real-time market transaction clearing through the market operation agency based on the declaration information of the thermal power units, the predicted output declaration information of the wind and solar units and photovoltaic power stations, the peak regulation declaration information and the updated credit value, and obtain the real-time market clearing transaction results. The real-time market clearing transaction results include the output plan and clearing price of the thermal power units in the future period, the winning power and peak regulation power and price of each market entity.

10. A terminal comprising a processor and a storage medium; characterized in that: The storage medium is used to store instructions; The processor is used to operate according to the instructions to execute the steps of the joint clearing method of the spot market and the peak-shaving ancillary service market according to any one of claims 1-8.

11. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the joint clearing method of the spot market and the peak-shaving ancillary service market as described in any one of claims 1 to 8 are implemented.

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