CN115619483A - Virtual power plant retail settlement method considering medium-long term and peak regulation market connection - Google Patents

Virtual power plant retail settlement method considering medium-long term and peak regulation market connection Download PDF

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CN115619483A
CN115619483A CN202211281076.7A CN202211281076A CN115619483A CN 115619483 A CN115619483 A CN 115619483A CN 202211281076 A CN202211281076 A CN 202211281076A CN 115619483 A CN115619483 A CN 115619483A
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左娟
刘海涛
吕广宪
季宇
杨红磊
王文博
许崇鑫
龙苏岩
刘宇明
张天宝
徐骏
盛祥祥
王一凡
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Shandong Electric Power Trading Center Co ltd
China Online Shanghai Energy Internet Research Institute Co ltd
State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
State Grid Shandong Electric Power Co Ltd
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China Online Shanghai Energy Internet Research Institute Co ltd
State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
State Grid Shandong Electric Power Co Ltd
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Abstract

The invention relates to a virtual power plant retail settlement method considering the connection of medium and long term and peak regulation market, which comprises the following steps: establishing a trading settlement process of the virtual power plant participating in the medium and long-term market; establishing a transaction settlement process of the virtual power plant participating in the peak shaving market; establishing a market connection method based on medium and long term and peak regulation; establishing a virtual power plant settlement model considering the medium-long term and peak regulation auxiliary service connection deviation; and providing a metering and deviation processing method to obtain a settlement basis, and performing settlement according to the settlement basis. The invention can improve the enthusiasm and internal management capacity of the virtual power plant for participating in the regulatory market.

Description

Virtual power plant retail settlement method considering medium-long term and peak regulation market connection
Technical Field
The invention relates to the technical field of virtual power plants, in particular to a retail settlement method for a virtual power plant, which considers the connection between a medium-term period and a long-term peak shaving market.
Background
In recent years, under the guidance of the concept of 'double carbon' target and energy 'double control', new energy such as wind power, photovoltaic and the like in China is rapidly developed, and the uncertainty and the regional dispersity of the wind-light-electricity output brought by the development bring great challenges to the safe and stable operation of a power system. Therefore, realizing the aggregation management of the distributed resources and improving the consumption level and the market competition level of the renewable energy are important foundations for the development of the distributed renewable resources.
With the rapid development of information technology, on one hand, the virtual power plant promotes and enriches the regulation and control capability of the system through an advanced information communication technology and a software system; on the other hand, the system is used as a special power plant to realize the aggregation and coordination optimization of distributed energy sources, energy storage systems, controllable loads, electric vehicles and other distributed resources, and participates in the operation of the power market and the power grid. The construction and development of the electric power market have positive effects and significance on the organization form of the virtual power plant. The improvement of the market mechanism is beneficial to improving the profit of the virtual power plant participating in the market and reducing the investment pressure on the one hand; and on the other hand, helps to maintain fairness for market participants. The two aspects jointly promote the participation willingness of the participants. The resources in the virtual power plant have extremely high flexibility, and besides the participation in the medium-long term and spot power market in which the traditional virtual power plant participates, the market can also open up temporary transactions for dealing with extreme climates according to the conditions of the region in which the virtual power plant is located, and the elasticity of the power distribution network is improved by exciting the virtual power plant. Meanwhile, the carbon-electricity combined market also improves the inherent value of new energy and resources and promotes the development of virtual power plants. At present, the market construction in China has achieved primary results, market transaction varieties are gradually enriched and improved, but in the face of emerging main bodies such as virtual power plants participating in the market, coordination between market organization, transaction and system regulation and control between a multi-stage market operating mechanism and the virtual power plants needs to be solved urgently.
At present, research is introduced into a layered control model of a virtual power plant, the virtual power plant is divided into a plurality of management levels, and different control areas of the virtual power plant are supervised and coordinated with distributed energy resources in the jurisdiction thereof through layered and decentralized control; the virtual power plant improves the adaptability of a power system to the fluctuation of new energy sources such as wind power and photovoltaic through the integrated control of various distributed power sources including distributed wind power and distributed photovoltaic, and improves the competitiveness of the virtual power plant participating in an electric energy market and an auxiliary service market in the electric power market operation. In the background of the problem that wind and light capacity is rapidly increased and excessive output is generated in a valley period to cause serious wind and light abandonment, the construction of a peak regulation auxiliary service market needs to be accelerated, and the consumption of renewable energy sources is promoted while the regulation and control capability of a power system is improved.
Most of the existing researches consider the cost constitution of the virtual power plant, the characteristics of internal resources or the consumption degree of clean energy, and less consider the connection based on medium-long term and peak regulation markets and the settlement profit allocation scheme of the virtual power plant. At present, researches on a full-flow system for trading settlement of a medium-and-long-term market and a peak shaving market participated by a virtual power plant and a settlement profit allocation method of the virtual power plant are less involved. Therefore, under the condition that the virtual power plant can be profitable, based on how the virtual power plant connected with the peak shaving market for the medium and long term participates in the market in the 'external' mode and gathers load resources in the 'internal' mode, a mature and effective virtual power plant retail settlement scheme does not exist at present.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a virtual power plant retail settlement method considering the connection between the medium-term and long-term power plants and the peak regulation market, and the enthusiasm and internal management capacity of the virtual power plants participating in the regulation market can be improved.
The technical scheme adopted by the invention for solving the technical problems is as follows: a virtual power plant retail settlement method considering medium-long term and peak shaving market connection is provided, and comprises the following steps:
establishing a trade settlement process of the virtual power plant participating in the medium and long-term market, a trade settlement process of the virtual power plant participating in the peak regulation market, a connection method based on the medium and long-term and peak regulation market, and a virtual power plant settlement model considering the connection deviation of the medium and long-term and peak regulation auxiliary service;
and providing a metering and deviation processing method based on the virtual power plant settlement model to obtain a settlement basis, and settling according to the settlement basis.
The process of establishing the trade settlement of the virtual power plant participating in the medium and long-term market specifically comprises the following steps:
registering a power grid enterprise, a dispatching mechanism and a virtual power plant through a trading platform, and acquiring related trading information;
under a set time scale, the virtual power plant predicts the demands of load users of each time scale in the future and determines the price expectation of the virtual power plant;
the virtual power plant signs an electric power purchase and sale package and an agreement with the load user according to the historical operation data and the prediction information of the load user, and determines a basic transaction amount and a transaction time period;
the virtual power plant participates in various transaction varieties under a preset time scale, and the purpose of achieving transaction with an off-site market main body is achieved;
a transaction organization party or a market main body forms a power generation plan and contract decomposition according to power generation and utilization requirements, technical conditions, requirements of a scheduling mechanism and contract agreement of the achieved transaction, transaction information is delivered to the transaction organization party, the scheduling mechanism carries out security check, a final contract after audit and a corresponding final contract decomposition execution plan are formed by the transaction organization party after the final contract and the corresponding final contract decomposition execution plan are passed and confirmed by the market main body, and power utilization plan curve confirmation under various transaction components is completed;
the electric quantity is executed by a power grid marketing department or a dispatching mechanism according to the power utilization plan curve, a virtual power plant aggregate load user executes in the market through a virtual power plant platform and a trading platform, then the electric quantity execution requirement is provided for each party of a market main body according to contract decomposition conditions and the safe and stable operation requirement of the dispatching mechanism according to regions, and important information of power grid operation is provided for the market main body in time;
under the condition that a market main body is provided with an accurate measuring meter, a power grid enterprise combines a contract price provided by a transaction organization party and an electric quantity execution metering result provided by a dispatching mechanism or a power grid marketing department, and charges a load user with total charge after considering power distribution charge
The trade settlement process of establishing virtual power plant participation peak shaving market includes the internal trade process of virtual power plant, the internal trade process of virtual power plant is the trade process between virtual power plant and inside main part, specifically includes:
before the execution day, the virtual power plant issues market information, and issues peak regulation requirements of the market to internal load resources of the virtual power plant, and the internal load resources of the virtual power plant complete peak regulation information declaration of the next day according to peak regulation capacity of the internal load resources; the virtual power plant integrates data declared by the internal load resources of the virtual power plant, quotes in a wholesale market according to the counted peak regulation data and finishes trading; according to the trading clearing information, the decomposition of the bid winning result is completed, and an electricity utilization curve of the internal load resources of the virtual power plant on the execution day is formed;
on the execution day, the virtual power plant executes the power utilization curve according to the command of the dispatching center, and carries out discharge curve adjustment according to the actual demand, and the virtual power plant load resource carries out power utilization control according to the power utilization curve and the adjusted discharge curve;
after the execution day, the virtual power plant finishes the acquisition and statistics of the distributed virtual power plant load resource metering data; the virtual power plant completes the daily settlement of the interior according to the daily settlement result, counts the daily execution conditions, and summarizes the daily execution conditions for monthly settlement;
and completing the settlement of the internal month and the month.
The process of establishing the transaction settlement of the virtual power plant participating in the peak shaving market comprises an external transaction process of the virtual power plant, wherein the external transaction process of the virtual power plant is a transaction process between the virtual power plant and a transaction center, a scheduling mechanism and a power grid company, and specifically comprises the following steps:
before the execution day, the power dispatching mechanism issues peak regulation demand information of each region to the transaction center; the trading center issues market information to the virtual power plant, the virtual power plant completes trading, the trading result is decomposed and distributed to internal load resources, and planned power utilization curves of each subject in the next day are transmitted to the internal load resources; the virtual power plant counts the peak shaving capacity of the internal load resource on the execution day, submits the peak shaving capacity to a trading center, forms a day-ahead power utilization plan considering peak shaving market trading, and releases the power utilization plan to the market; the trading center submits the clearing result of the market to a dispatching mechanism to participate in power dispatching; the dispatching mechanism pushes the clearing result to the transaction mechanism and synchronously completes a dispatching instruction; the trading mechanism pushes the clearing result and sends clearing trading information to the virtual power plant; the virtual power plant carries out bid winning result decomposition to form a daily power utilization curve of each internal load resource, and adjusts the daily charging plan;
on the execution day, the virtual power plant implements power utilization according to the declaration information, adjusts the charging curve and clears the charging curve in real time according to a set scheduling period; before each scheduling period, sequentially calling the day-ahead quoted prices of the peak-shaving market according to the sequence of price from low to high to carry out deep peak shaving to form a daily power utilization plan, and reporting the final running power execution condition to a scheduling mechanism;
after the execution day, according to the final execution condition of the virtual power plant in the previous day, the execution information of actual participation in peak shaving and frequency modulation is transmitted to a trading center; the power grid company transmits historical operation data to a trading center, the virtual power plant transmits the actual participation condition statistical result of the internal load resource to the trading center, the actual regulating quantity participating in the peak regulation market is obtained based on the reference power of the virtual power plant, and the calculation flow of settlement amount is completed in the trading center; and the transaction center respectively submits the calculated settlement results to the power grid company and the virtual power plant.
When the establishment is based on the method for connecting the medium-long term and the peak shaving market, in the process that the virtual power plants participate in the peak shaving market, the same virtual power plant can only participate in one of the peak shaving market and the medium-long term market in the same period of time in the day-ahead market; the virtual power plant participates in the medium and long-term market and the peak shaving market to purchase power according to the retail power to the load user; settlement of the monthly medium and long-term market is participated in by the virtual power plant, a load user signs a monthly electric quantity contract by taking a month as a time scale, the actual net purchased electric quantity in the current month does not exceed a signed contract and is not checked, and a response checking punishment measure is carried out under the condition that the actual net purchased electric quantity exceeds a certain floating range of the signed contract, and the method specifically comprises the following steps:
Figure BDA0003898247590000041
wherein Q is n The actual monthly electricity consumption of the virtual power plant is obtained; q. q.s i Total electricity consumption on day i, P t,i The net external power consumption of the virtual power plant is t time period on the ith day; delta Q p And checking the power consumption for monthly deviation.
When the establishment is based on the medium-long term and peak regulation market connection method, the virtual power plant synchronously participates in the peak regulation market while participating in the medium-long term market, the user load is increased, and extra income is obtained in response to system regulation and control; the virtual power plant participates in the settlement of the peak regulation market, the assessment settlement is carried out by taking the day as a unit, the load regulation quantity participating in the peak regulation is extra regulation power generated on the basis of medium and long term contracts, and the regulation quantity performs the assessment settlement by taking 96-point baselines in the day, and specifically comprises the following steps:
Figure BDA0003898247590000042
wherein,
Figure BDA0003898247590000043
for the adjustment quantity of the virtual power plant participating in the peak shaving market in the ith day t period,
Figure BDA0003898247590000044
is a baseline power value 96 points before the ith day t period day,
Figure BDA0003898247590000045
peak regulation power at the ith day and t time period signed for a peak regulation market of a virtual power plant in the day-ahead market, wherein delta P is deviation electric power of the peak regulation market; in the middle and long term assessment process, the middle and long term assessment deviation part caused by the peak load regulation of the response system is deducted, and then the calculation formula of the final deviation assessment after correction is as follows:
Figure BDA0003898247590000051
ΔQ p′ and checking the power consumption for the corrected deviation.
When the virtual power plant settlement model considering the medium-long term and peak regulation auxiliary service connection deviation is established, the evaluation mode of the monthly electric quantity contract is as follows: after the virtual power plant participates in the peak shaving market, the original power curve of the day changes, the virtual power plant automatically changes the power curve of the subsequent date according to the production and living characteristics of self polymerization resources, and monthly power consumption assessment is carried out according to the original monthly power consumption index; the penalty range of the assessment deviation amount is set to be within 3 percent of the contract amount; the maximum comprehensive settlement income in a rolling time domain within a month is an objective function, and the expression is as follows:
Figure BDA0003898247590000052
Q pi =x 1i (t)*(C p1 -C pc1 )+x 2i (t)*(C p2 -C pc2 )
Figure BDA0003898247590000053
Figure BDA0003898247590000054
wherein Q is m Purchasing electric quantity for monthly total contract; q pi The income for participating in peak regulation on the ith day; q di Penalty fee for day i; c p1 And C p2 Respectively, participating in interruptible and translatable peak shaving subsidies; c pc1 And C pc2 Costs of participation in interruptible and translatable peak shaving, respectively; x is the number of 1i (t) and x 2i (t) the interruptible quantity and the translatable quantity in the ith day check deviation quantity are respectively; f, judging whether the offset amount is in a punishment range during monthly settlement; d q For a penalty price of deviation, Δ Q p′ And checking the power consumption for the corrected deviation.
When the virtual power plant settlement model considering the medium-long term and peak regulation auxiliary service connection deviation is established, the medium-long term market constraint conditions are as follows:
Figure BDA0003898247590000055
wherein, the predicted value H M-N Baseline load value, Q, as a calculated tunable potential n To simulate monthly actual power usage, Δ Q, of a power plant p Checking the power consumption for monthly deviation; the peak regulation market constraint conditions are as follows:
Figure BDA0003898247590000061
wherein,
Figure BDA0003898247590000062
adjusting quantity of the virtual power plant participating in the peak shaving market at the t time period on the ith day; x is the number of 1 (t) and x 2 (t) an interruptible amount and a translatable amount in the assessment deviation amount respectively;
Figure BDA0003898247590000063
and
Figure BDA0003898247590000064
respectively, a lower limit and an upper limit of the participatable interrupt amount;
Figure BDA0003898247590000065
and
Figure BDA0003898247590000066
respectively lower limit and upper limit of translation participated; eta 1 (t) and η 2 (t) load up and down regulation potentials at time t, respectively; l is 1t And L 2t Respectively, a maximum baseline load and a minimum baseline load at time t.
The method for providing the metering and deviation processing method based on the virtual power plant settlement model to obtain the settlement basis specifically comprises the following steps: when retail settlement is carried out on the virtual power plant aggregated load user, at the moment t, the actual response rate is expressed as:
Figure BDA0003898247590000067
the actual user response is expressed as: s t =|L t -A t L, where eta t The actual response rate at the moment t; s t Actual response quantity at time t, F t Signing amount for the contract at the time t; l is t The average power of the actual response time of the load at the moment t; a. The t Baseline average power at time t; the settlement basis obtained by the proposed measurement and deviation processing method is specifically as follows: when retail settlement is carried out on the virtual power plant aggregated load user, at the moment t, the actual response rate is expressed as:
Figure BDA0003898247590000068
the actual user response is expressed as: s. the t =|L t -A t L, where η t The actual response rate at the moment t; s. the t Is the actual response at time t, F t Signing amount for the contract at the time t; l is a radical of an alcohol t The average power of the actual response time of the load at the moment t; a. The t Baseline average power at time t; establishing a settlement basis capable of adjusting load:
Figure BDA0003898247590000069
wherein R is t Clearing the price at time t, wherein R t The price is cleared for the moment t.
The technical scheme adopted by the invention for solving the technical problem is as follows: also provided is a virtual power plant retail settlement device that considers medium and long term engagement with peak shaving markets, comprising:
the system comprises an establishing module, a peak shaving auxiliary service module and a peak shaving auxiliary service module, wherein the establishing module is used for establishing a transaction settlement process of a virtual power plant participating in a medium-long term market, a transaction settlement process of a virtual power plant participating in a peak shaving market, an intermediate-long term and peak shaving market connection method and a virtual power plant settlement model considering intermediate-long term and peak shaving auxiliary service connection deviation;
and the settlement module is used for proposing a metering and deviation processing method based on the virtual power plant settlement model to obtain a settlement basis and settling according to the settlement basis.
The technical scheme adopted by the invention for solving the technical problems is as follows: there is also provided an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the computer program performs the steps of the virtual power plant retail settlement method considered above in medium and long term engagement with peak shaver markets.
The technical scheme adopted by the invention for solving the technical problems is as follows: there is also provided a computer readable storage medium having a computer program stored thereon, wherein the computer program when executed by a processor implements the steps of the above virtual power plant retail settlement method that considers medium and long term engagement with peak shaver markets.
Advantageous effects
Due to the adoption of the technical scheme, compared with the prior art, the invention has the following advantages and positive effects: the invention establishes the transaction settlement process of the virtual power plant participating in the medium-long term and peak shaving market, is beneficial to determining the specific process of the virtual power plant participating in the medium-long term and peak shaving market transaction settlement, and provides a foundation for the effective connection of the medium-long term and the peak shaving market; establishing a medium-and-long-term and peak-shaving market connection method, which is beneficial to determining deviation assessment of transaction connection of the virtual power plant in the medium-and-long-term market and the peak-shaving market, reducing resource waste and improving the enthusiasm of the virtual power plant in participating in the regulatory market; the method has the advantages that a virtual power plant settlement model considering the connection deviation between the medium-term and long-term power plants and the peak regulation auxiliary service is established, the maximum benefit of the virtual power plant in participating in peak regulation in the monthly deviation checking range is facilitated, the peak regulation effect is obvious, the benefit is benefited for users, and the stable operation of a power grid is facilitated; the metering and deviation processing method is beneficial to determining the settlement amount of resources such as distributed power sources, adjustable loads and the like in the virtual power plant settlement process, improves the management capacity in the virtual power plant, and simplifies the settlement process.
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FIG. 1 is a flow chart of a first embodiment of the present invention;
FIG. 2 is a flow chart of a trade settlement for establishing a virtual power plant to participate in a medium and long term market according to a first embodiment of the present invention;
FIG. 3 is a flow chart of settlement of internal trade for establishing virtual power plant participation in peak shaver market in the first embodiment of the present invention;
fig. 4 is a flow chart of settlement of external trade for building a virtual power plant to participate in the peak shaver market in the first embodiment of the present invention.
Detailed Description
The invention will be further illustrated with reference to the following specific examples. It should be understood that these examples are for illustrative purposes only and are not intended to limit the scope of the present invention. Further, it should be understood that various changes or modifications of the present invention may be made by those skilled in the art after reading the teaching of the present invention, and such equivalents may fall within the scope of the present invention as defined in the appended claims.
The embodiment of the invention relates to a virtual power plant retail settlement method considering medium-long term connection with peak shaving markets, as shown in figure 1, comprising the following steps:
step 1, establishing a transaction settlement process of the virtual power plant participating in the medium and long-term market. As shown in fig. 2, the steps include:
main bodies such as a power grid enterprise, a dispatching mechanism and a virtual power plant register through a transaction platform, and acquire relevant transaction information;
under the monthly time scale, the virtual power plant predicts the load demand of each future time scale by considering the self power generation demand and technical conditions, and determines the self price expectation as the preparation before transaction;
the virtual power plant carries out signing of buying and selling electric packages and agreements with a load user according to historical operating data and prediction information of the load, and determines basic transaction amount and transaction time period;
the virtual power plant can participate in various transaction varieties such as bilateral, centralized (optimized clearing) and listing under the monthly time scale. The system can achieve transaction with a single off-site main body in a bilateral negotiation mode, and achieve transaction with a plurality of off-site market main bodies in a centralized transaction mode, a listing transaction mode and the like;
a trading organization party or a market main body forms a power generation plan and contract curve decomposition according to factors such as power generation and utilization requirements, technical conditions, requirements of a scheduling mechanism, contract agreement and the like, transaction information after contract confirmation is submitted to the trading organization party, the scheduling mechanism carries out safety check, a final contract after audit and a corresponding contract decomposition execution plan are formed by the trading organization party after the safety check, and the market main body confirms the final contract and the corresponding contract decomposition execution plan to complete power utilization plan curve confirmation under various trading components;
the electric quantity is executed by a power grid marketing department and a dispatching mechanism, a virtual power plant aggregate load user executes in the market through a virtual power plant platform and a trading platform, then the electric quantity execution requirement is provided for each party of a market main body according to the decomposition condition of a trading contract and the safe and stable operation requirement of the dispatching mechanism according to the region, and the important information of the power grid operation is provided for the market main body in time;
under the condition that a market main body is provided with an accurate measuring meter, a power grid enterprise combines a contract price provided by a transaction organization party and electric quantity provided by a scheduling mechanism, a power grid marketing department and the like to execute a settlement basis such as a metering result and the like, and collects the total cost to a user party after considering the power distribution cost. The electricity amount can be measured to a virtual power plant gateway or each distributed load resource main body (specifically determined by technical conditions or marketing regulations).
And 2, establishing a transaction settlement process of the virtual power plants participating in the peak shaving market, wherein the transaction settlement process of the virtual power plants participating in the peak shaving market comprises a virtual power plant internal transaction process and a virtual power plant external transaction process.
The internal transaction flow of the virtual power plant is a transaction flow between the virtual power plant and an internal subject, and includes parts of information issuing starting, information declaration, transaction execution, settlement and the like, as shown in fig. 3, which specifically includes the following steps:
d-1 day 9: before 45, virtual power plant releases information of opening a market day ahead, issues the peak regulation demand in market to virtual power plant's internal load resource, includes: peak shaving demand information for each time interval. And the load resources in the virtual power plant finish peak regulation information declaration of the next day according to the peak regulation capacity of the virtual power plant, and report regulation capacity, including the peak regulation capacity of the adjustable load resources capable of participating in market trading and upper and lower limits of declaration price. 10: and before 30, the virtual power plant integrates the load resource declaration data, quotes in a wholesale market according to the statistical peak regulation data, and completes the transaction through centralized transaction. 18: before 00, according to the trade clearing information of the trading mechanism, the decomposition of the bid-winning result is completed, and an internal load resource next day 96-point charging (power utilization) curve is formed.
And D, the virtual power plant executes the power utilization curve according to the command of the dispatching center, adjusts the discharge curve according to the actual demand, and controls the power utilization of the dispersed load resources according to the charge-discharge curve and the adjustment curve.
D +2 day 17: before 00, the virtual power plant finishes distributed load resource metering data acquisition; 18: and before 00, completing distributed load resource metering data statistics by the virtual power plant.
D +4 day 17: and before 00, the virtual power plant completes the daily settlement according to the daily settlement result. 18: and before 00, the virtual power plant counts the daily execution conditions, summarizes the daily execution conditions and is used for monthly settlement of the internal load.
M day 17: before 00, the settlement of the internal month is finished. In monthly settlement, the regulation and control quantity of the virtual power plant participating in the peak regulation market and responding to the market is considered to be the regulation and control quantity beneficial to market operation, so in the medium-term and long-term market settled by using monthly as a period, the electric quantity examined should deduct the power consumption responding to the regulation and control of the peak regulation market.
The external transaction flow of the virtual power plant is a transaction flow between the virtual power plant and a transaction center, a scheduling mechanism and a power grid company, and as shown in fig. 4, the external transaction flow of the virtual power plant specifically includes:
d-1 day 9: before 00, the power dispatching mechanism issues peak regulation demand information of each region to the transaction center, wherein the peak regulation demand information comprises peak regulation demands of each time period; 9: and before 30, the trading center issues market information to the virtual power plant, and the virtual power plant completes the transaction in the trading modes of listing transaction, bilateral transaction, centralized bidding transaction and the like. Then decomposing the transaction result, distributing the transaction result to internal load resources, and transmitting the planned power utilization curve of each subject day to the internal load users of the virtual power plant; 11: and before 00, the virtual power plant counts the peak regulation capacity of the internal load resources on day D, reports the response quantity to a trading center, and the regulating center performs peak regulation market clearing in advance. And forming a day-ahead power utilization plan considering the peak shaving market trading, and releasing the day-ahead power utilization plan to the market, wherein the content comprises a 96-point peak shaving output curve of the virtual power plant. 17: before 00, the trading center submits the clearing result of the market to a scheduling mechanism to participate in power scheduling; 17: before 30, the dispatching mechanism pushes the clearing result to a trading center and synchronously completes a dispatching instruction; 17: before 40, the trading center pushes the clearing result and sends clearing trading information to the virtual power plant; 18: before 00, the virtual power plant carries out bid winning result decomposition to form a next-day charging (power utilization) curve of each internal load resource, and adjusts a predicted-day-time charging plan;
and D, implementing power utilization by the virtual power plant according to the declaration information of the D-1 day, adjusting a charging curve according to regulation and control of a regulation and control center, and clearing in real time by taking 15min as a period. In 15min before each scheduling period, sequentially calling by the control center according to the day-ahead quoted prices of the peak shaving market from low to high in order of price for deep peak shaving to form a daily power utilization plan, and reporting the final operating power execution condition to a scheduling mechanism;
d +1 day 17: before 00, the scheduling mechanism transmits the actual execution information participating in peak shaving and frequency modulation to a trading center according to the final execution condition of the virtual power plant in the previous day;
d +2 day 18: and before 00, the power grid company transmits historical operation data to a trading center, the virtual power plant transmits the actual participation condition statistical result of the internal load resource to the trading center, the actual regulating quantity participating in the peak regulation market is obtained based on the reference power of the virtual power plant, and the calculation flow of settlement amount is completed in the trading center. Meanwhile, the virtual power plant completes daily settlement inside;
d +3 day 17: and before 00, the trading center respectively submits the calculated settlement results to a power grid company and a virtual power plant to finish the settlement process of the market.
And 3, establishing a medium-long term and peak regulation based market connection method. In order to ensure the reasonability and the accuracy of the transaction, in the process that the virtual power plant participates in the peak shaving market, the same virtual power plant can only participate in one market (participate in the peak shaving market or the medium-long term market) in the same period of time in the day-ahead market. The method specifically comprises the following steps:
the virtual power plant participates in the monthly medium and long-term market: the virtual power plant participates in the medium and long-term market and the peak shaving market to purchase power according to the retail power to the load user. And when the virtual power plant participates in settlement of monthly medium and long-term markets, a load user signs a monthly electric quantity contract, namely a medium and long-term contract, does not check when the actual net purchased electric quantity in the current month exceeds the signed contract, and performs responsive check punishment measures when the actual net purchased electric quantity exceeds a certain floating range of the signed contract, namely:
Figure BDA0003898247590000101
Figure BDA0003898247590000102
wherein Q is n The actual monthly electricity consumption of the virtual power plant is obtained; q. q.s i Total electricity consumption on day i, P t,i The net power consumption of the virtual power plant to the outside is divided into 96 time intervals in one day for the ith time interval; delta Q p And checking the power consumption for monthly deviation.
The virtual power plant participates in the day-ahead peak regulation market: when participating in the medium-and-long-term market, the virtual power plant synchronously participates in the peak shaving market in the day ahead, the user load is increased, and extra income is obtained by responding to system regulation and control. The virtual power plant participates in the settlement of the peak regulation market, the assessment and settlement are carried out by taking the day as a unit, the load regulation quantity participating in the peak regulation is extra regulation power generated on the basis of medium and long term contracts, and the regulation quantity performs the assessment and settlement by taking 96-point baselines in the day, namely:
Figure BDA0003898247590000103
Figure BDA0003898247590000104
wherein,
Figure BDA0003898247590000111
for the adjustment quantity of the virtual power plant participating in the peak shaving market in the ith day t period,
Figure BDA0003898247590000112
is a baseline power value 96 points before the ith day t period day,
Figure BDA0003898247590000113
and the peak regulation power is signed for the ith day t period of the peak regulation market of the virtual power plant in the day-ahead market, and the delta P is the deviation electric power of the peak regulation market.
Based on the connection of medium-long term and peak-shaving markets: the load adjustment quantity participating in the peak shaving market influences the monthly total electricity purchasing quantity in the medium and long term, so that the peak shaving market is examined in the medium and long term. In order to improve the enthusiasm of the virtual power plant for participating in the regulatory market, the medium-long term assessment deviation part caused by the peak regulation of the response system is deducted in the medium-long term assessment process. Then, the calculation formula of the power consumption of the corrected final deviation assessment is as follows:
Figure BDA0003898247590000114
in the formula: delta Q p′ And checking the power consumption for the corrected deviation.
And 4, establishing a virtual power plant settlement model considering the medium-long term and peak regulation auxiliary service connection deviation.
In the connection of the medium-long term and the peak regulation market, in order to improve the enthusiasm of the virtual power plant for participating in the regulation market, the monthly electric quantity contract has the following check mode: after the virtual power plant participates in the peak shaving market before the day, the original power curve of the day changes, the virtual power plant automatically changes the power curve of the follow-up date according to the production and living characteristics of self aggregated resources, and monthly power consumption assessment is carried out according to the original monthly power consumption index. The electricity consumption participating in the peak regulation market influences the monthly total electricity consumption in the medium and long term, so that the electricity consumption is assessed in the medium and long term market, and the assessment deviation punishment range is set to be within 3% of the contract quantity.
The maximum comprehensive settlement income in a rolling time domain within a month is an objective function, and the expression is as follows:
Figure BDA0003898247590000115
Q pi =x 1i (t)*(C p1 -C pc1 )+x 2i (t)*(C p2 -C pc2 )
Figure BDA0003898247590000116
Figure BDA0003898247590000117
wherein Q is m Purchasing electric quantity for monthly total contract; q pi The income of peak regulation for the ith day; q di Penalty fee for the ith day; c p1 And C p2 Respectively, participating in interruptible and translatable peak shaving subsidies; c pc1 And C pc2 Costs of participation in interruptible and translatable peak shaving, respectively; x is a radical of a fluorine atom 1i (t) and x 2i (t) the interruptible quantity and the translatable quantity in the ith day check deviation quantity are respectively; f, judging whether the offset amount is within the punishment range during monthly settlement; d q Is the bias penalty price.
The medium and long-term market constraints are as follows:
Q m =∑H M-N
ΔQ P =Q n -Q m
wherein, the predicted value H M-N Base line load value, Q, as a function of calculated tunable potential n To simulate monthly actual power consumption, Δ Q, of a power plant p And checking the power consumption for monthly deviation.
The peak regulation market constraint conditions are as follows:
Figure BDA0003898247590000121
Figure BDA0003898247590000122
x 2 (t)=x 2 (t+16)
Figure BDA0003898247590000123
η 1 (t)=L 1t -H M-N
η 2 (t)=H M-N -L 2t
wherein,
Figure BDA0003898247590000124
adjusting quantity of the virtual power plant participating in the peak shaving market at the t time period on the ith day; x is a radical of a fluorine atom 1 (t) and x 2 (t) an interruptible amount and a translatable amount in the assessment deviation amount respectively;
Figure BDA0003898247590000125
and
Figure BDA0003898247590000126
respectively, a lower limit and an upper limit of the participatable interrupt amount;
Figure BDA0003898247590000127
and
Figure BDA0003898247590000128
respectively lower limit and upper limit of translation participated; eta 1 (t) and η 2 (t) load up and down regulation potentials at time t, respectively; l is 1t And L 2t Respectively, a maximum baseline load and a minimum baseline load at time t.
And 5, providing a metering and deviation processing method to obtain a settlement basis, and settling the settlement according to the settlement basis.
At time t, the actual response rate is expressed as:
Figure BDA0003898247590000129
the actual user response is expressed as: s. the t =|L t -A t L, where eta t The actual response rate at the moment t; s t Actual response quantity at time t, F t At time tContract signing amount; l is t The average power of the actual response time of the load at the moment t; a. The t Is the baseline average power at time t.
Establishing a settlement basis capable of adjusting load:
Figure BDA00038982475900001210
wherein: r t The price is cleared for the moment t.
The invention establishes the transaction settlement process of the virtual power plant participating in the medium-long term and peak shaving market, is beneficial to determining the specific process of the virtual power plant participating in the medium-long term and peak shaving market transaction settlement, and provides a foundation for the effective connection of the medium-long term and the peak shaving market; establishing a medium-and-long-term and peak-shaving market connection method, which is beneficial to determining deviation assessment of transaction connection of the virtual power plant in the medium-and-long-term market and the peak-shaving market, reducing resource waste and improving the enthusiasm of the virtual power plant in participating in the regulatory market; the method has the advantages that a virtual power plant settlement model considering the connection deviation between the medium-term and long-term power plants and the peak regulation auxiliary service is established, the maximum benefit of the virtual power plant in participating in peak regulation in the monthly deviation checking range is facilitated, the peak regulation effect is obvious, the benefit is benefited for users, and the stable operation of a power grid is facilitated; the metering and deviation processing method is beneficial to determining the settlement amount of resources such as distributed power sources, adjustable loads and the like in the virtual power plant settlement process, improves the management capacity in the virtual power plant, and simplifies the settlement process.
A second embodiment of the invention relates to a virtual power plant retail settlement device that allows for medium and long term engagement with peak shaving markets, comprising:
the system comprises an establishing module, a peak regulation assisting service module and a peak regulation assisting service module, wherein the establishing module is used for establishing a trading settlement process of a virtual power plant participating in a medium-long term market, a trading settlement process of a virtual power plant participating in a peak regulation market, an establishing method based on medium-long term and peak regulation market connection, and an establishing virtual power plant settlement model considering medium-long term and peak regulation assisting service connection deviation;
and the settlement module is used for proposing a metering and deviation processing method based on the virtual power plant settlement model to obtain a settlement basis and settling according to the settlement basis.
When the establishment module establishes a transaction settlement process of the virtual power plant participating in the medium and long-term market, the establishment module comprises the following steps:
registering a power grid enterprise, a dispatching mechanism and a virtual power plant through a trading platform, and acquiring related trading information;
under a set time scale, the virtual power plant predicts the demands of load users of each time scale in the future and determines the price expectation of the virtual power plant;
the virtual power plant signs an electric power purchase and sale package and a protocol with the load user according to the historical operating data and the prediction information of the load user, and determines a basic transaction amount and a transaction time period;
the virtual power plant participates in various transaction varieties under a preset time scale, and the purpose of achieving transaction with an off-site market main body is achieved;
a transaction organization party or a market main body forms a power generation plan and contract decomposition according to power generation and utilization requirements, technical conditions, requirements of a scheduling mechanism and contract agreement of the achieved transaction, transaction information is delivered to the transaction organization party, the scheduling mechanism carries out security check, a final contract after audit and a corresponding final contract decomposition execution plan are formed by the transaction organization party after the final contract and the corresponding final contract decomposition execution plan are passed and confirmed by the market main body, and power utilization plan curve confirmation under various transaction components is completed;
the electric quantity is executed by a power grid marketing department or a dispatching mechanism according to the power utilization plan curve, a virtual power plant aggregate load user executes in the market through a virtual power plant platform and a trading platform, then the electric quantity execution requirement is provided for each party of a market main body according to contract decomposition conditions and the safe and stable operation requirement of the dispatching mechanism according to regions, and important information of power grid operation is provided for the market main body in time;
under the condition that a market main body is provided with an accurate measuring meter, a power grid enterprise combines a contract price provided by a transaction organization party and an electric quantity provided by a scheduling mechanism or a power grid marketing department to execute a measuring result, and charges a load user with the total cost after considering the power distribution cost.
The settlement process of trading that virtual power plant participated in the peak shaver market that the establishment module established includes the internal transaction process of virtual power plant, the internal transaction process of virtual power plant is the transaction process between virtual power plant and inside main part, specifically includes:
before the execution day, the virtual power plant issues market information, and issues peak regulation requirements of the market to internal load resources of the virtual power plant, and the internal load resources of the virtual power plant complete peak regulation information declaration of the next day according to peak regulation capacity of the internal load resources; the virtual power plant integrates data declared by the internal load resources of the virtual power plant, quotes in a wholesale market according to the statistical peak regulation data and completes the transaction; according to the trading clearing information, the decomposition of the bid winning result is completed, and an electricity utilization curve of the internal load resources of the virtual power plant on the execution day is formed;
on the execution day, the virtual power plant executes the power utilization curve according to the command of the dispatching center, and carries out discharge curve adjustment according to the actual demand, and the virtual power plant load resource carries out power utilization control according to the power utilization curve and the adjusted discharge curve;
after the execution day, the virtual power plant finishes the collection and statistics of the distributed virtual power plant load resource measurement data; the virtual power plant completes the daily settlement of the interior according to the daily settlement result, counts the daily execution conditions, and summarizes the daily execution conditions for monthly settlement;
and completing the settlement of the internal month and the month.
The transaction settlement process of the virtual power plant participating in the peak shaving market established by the establishing module comprises an external transaction process of the virtual power plant, wherein the external transaction process of the virtual power plant is a transaction process between the virtual power plant and a transaction center, a scheduling mechanism and a power grid company, and specifically comprises the following steps:
before the execution day, the power dispatching mechanism issues peak regulation demand information of each region to the transaction center; the trading center issues market information to the virtual power plant, the virtual power plant completes trading, the trading result is decomposed and distributed to internal load resources, and planned power utilization curves of each subject in the next day are transmitted to the internal load resources; the virtual power plant counts the peak shaving capacity of the internal load resource on the execution day, submits the peak shaving capacity to a trading center, forms a day-ahead power utilization plan considering peak shaving market trading, and releases the power utilization plan to the market; the trading center submits the clearing result of the market to a dispatching mechanism to participate in power dispatching; the dispatching mechanism pushes the clearing result to the transaction mechanism and synchronously completes a dispatching instruction; the trading mechanism pushes the clearing result and sends the clearing transaction information to the virtual power plant; the virtual power plant carries out bid winning result decomposition to form a daily power utilization curve of each internal load resource, and adjusts the daily charging plan;
on the execution day, the virtual power plant implements power utilization according to the declaration information, adjusts the charging curve and clears the charging curve in real time according to a set scheduling period; before each scheduling period, sequentially calling the day-ahead quoted prices of the peak-shaving market according to the sequence of price from low to high to carry out deep peak shaving to form a daily power utilization plan, and reporting the final running power execution condition to a scheduling mechanism;
transmitting the execution information actually participating in peak shaving and frequency modulation to a trading center according to the final execution condition of the virtual power plant in the previous day after the execution day; the power grid company transmits historical operation data to a trading center, the virtual power plant transmits the actual participation condition statistical result of the internal load resource to the trading center, the actual regulating quantity participating in the peak regulation market is obtained based on the reference power of the virtual power plant, and the calculation flow of settlement amount is completed in the trading center; and the transaction center respectively submits the calculated settlement results to the power grid company and the virtual power plant.
When the establishing module establishes a method based on the connection between the medium-long term and the peak shaving market, in the process that the virtual power plants participate in the peak shaving market, the same virtual power plant can only participate in one of the peak shaving market and the medium-long term market in the same period of time in the day-ahead market; the virtual power plant participates in the medium and long-term market and the peak shaving market to purchase power according to the retail power to the load user; in the settlement of the virtual power plant participating in the monthly middle and long-term market, a load user signs a monthly electric quantity contract by taking a month as a time scale, the actual net electric quantity purchased in the current month does not exceed a signed contract and is not checked, and a response checking punishment measure is carried out under the condition that the actual net electric quantity purchased in the current month exceeds a certain floating range of the signed contract, and the method specifically comprises the following steps:
Figure BDA0003898247590000151
wherein Q is n The actual monthly electricity consumption of the virtual power plant is obtained; q. q.s i Total power consumption, P, on day i t,i The net external power consumption of the virtual power plant is t time period on the ith day; delta Q p And checking the power consumption for monthly deviation.
When the establishing module establishes a method based on the connection between the medium-long term market and the peak regulation market, the virtual power plant synchronously participates in the peak regulation market while participating in the medium-long term market, the user load is increased, and extra income is obtained by responding to the regulation and control of the system; the virtual power plant participates in the settlement of the peak regulation market, the assessment settlement is carried out by taking the day as a unit, the load regulation quantity participating in the peak regulation is extra regulation power generated on the basis of medium and long term contracts, and the regulation quantity performs the assessment settlement by taking 96-point baselines in the day, and specifically comprises the following steps:
Figure BDA0003898247590000152
wherein,
Figure BDA0003898247590000153
the regulation quantity of the virtual power plant participating in the peak shaving market at the t period on the ith day,
Figure BDA0003898247590000154
is a baseline power value 96 points before the ith day t period day,
Figure BDA0003898247590000155
peak regulation power at the ith day and t time period signed for a peak regulation market of a virtual power plant in the day-ahead market, wherein delta P is deviation electric power of the peak regulation market; in the middle and long term assessment process, the middle and long term assessment deviation part caused by the peak load regulation of the response system is deducted, and then the calculation formula of the final deviation assessment after correction is as follows:
Figure BDA0003898247590000156
ΔQ p′ and checking the power consumption for the corrected deviation.
When the establishing module establishes a virtual power plant settlement model considering the connection deviation between the medium-term and the long-term peak regulation auxiliary service, the monthly electric quantity contract is assessed in the following mode: after the virtual power plant participates in the peak shaving market, the original power curve of the day changes, the virtual power plant automatically changes the power curve of the subsequent date according to the production and living characteristics of self polymerization resources, and monthly power consumption assessment is carried out according to the original monthly power consumption index; the penalty range of the assessment deviation amount is set to be within 3 percent of the contract amount; the maximum comprehensive settlement income in a rolling time domain within a month is an objective function, and the expression is as follows:
Figure BDA0003898247590000161
wherein Q m Purchasing electric quantity for monthly total contract; q pi The income of peak regulation for the ith day; q di Penalty fee for day i; c p1 And C p2 Respectively subsidies participating in interruptible and translatable peak regulation; c pc1 And C pc2 Costs of participation in interruptible and translatable peak shaving, respectively; x is the number of 1i (t) and x 2i (t) the interruptible amount and the translatable amount in the ith day check deviation amount respectively; f, judging whether the offset amount is within the punishment range during monthly settlement; d q For a penalty price of deviation, Δ Q p′ And checking the power consumption for the corrected deviation.
When the establishing module establishes a virtual power plant settlement model considering the medium-long term and peak regulation auxiliary service connection deviation, medium-long term market constraint conditions are as follows:
Figure BDA0003898247590000162
wherein, the predicted value H M-N Base line load value, Q, as a function of calculated tunable potential n To simulate monthly actual power usage, Δ Q, of a power plant p Checking the power consumption for monthly deviation; the peak regulation market constraint conditions are as follows:
Figure BDA0003898247590000163
wherein,
Figure BDA0003898247590000164
adjusting quantity of the virtual power plant participating in the peak shaving market at the t time period on the ith day; x is the number of 1 (t) and x 2 (t) an interruptible amount and a translatable amount in the assessment deviation amount respectively;
Figure BDA0003898247590000165
and
Figure BDA0003898247590000166
respectively, a lower limit and an upper limit of the participatable interrupt amount;
Figure BDA0003898247590000167
and
Figure BDA0003898247590000168
respectively lower limit and upper limit of translation participated; eta 1 (t) and η 2 (t) load up and down regulation potentials at time t, respectively; l is 1t And L 2t Respectively, a maximum baseline load and a minimum baseline load at time t.
When the settlement module provides a metering and deviation processing method based on the virtual power plant settlement model to obtain a settlement basis and performs retail settlement on a virtual power plant aggregated load user, at time t, the actual response rate is expressed as:
Figure BDA0003898247590000171
the actual user response is expressed as: s t =|L t -A t L, where eta t The actual response rate at the moment t; s t Actual response quantity at time t, F t Signing amount for the contract at the time t; l is a radical of an alcohol t The average power of the actual response time of the load at the moment t; a. The t Baseline average power at time t; establishing a settlement basis capable of adjusting load:
Figure BDA0003898247590000172
wherein R is t The price is cleared for time t.
A third embodiment of the invention is directed to an electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor when executing the computer program implementing a virtual power plant retail settlement method that considers medium and long term engagement with peak shaver markets, the method comprising the steps of: establishing a transaction settlement process of the virtual power plant participating in the medium and long-term market; establishing a transaction settlement process of the virtual power plant participating in the peak shaving market; establishing a market connection method based on medium and long term and peak regulation; establishing a virtual power plant settlement model considering the medium-long term and peak regulation auxiliary service connection deviation; and proposing a metering and deviation processing method to obtain a settlement basis, and settling according to the settlement basis.
In addition, the functions in the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one processing unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention, which is in essence or contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) to execute all or part of the steps of the method according to the embodiment of the present invention. And the aforementioned storage medium includes: various media that can store computer program code, such as a U-disk, read Only Memory (ROM), random Access Memory (RAM), removable hard disk, magnetic or optical disk, and the like.

Claims (12)

1. A virtual power plant retail settlement method that considers medium and long term engagement with peak shaving markets, comprising:
establishing a trade settlement process of the virtual power plant participating in the medium and long-term market, a trade settlement process of the virtual power plant participating in the peak regulation market, a connection method based on the medium and long-term and peak regulation market, and a virtual power plant settlement model considering the connection deviation of the medium and long-term and peak regulation auxiliary service;
and providing a metering and deviation processing method based on the virtual power plant settlement model to obtain a settlement basis, and settling according to the settlement basis.
2. The retail settlement method for virtual power plant considering mid-long term engagement with peak shaver markets as claimed in claim 1, wherein the establishing of transaction settlement flow for virtual power plant participation in mid-long term market comprises:
registering a power grid enterprise, a dispatching mechanism and a virtual power plant through a trading platform, and acquiring related trading information;
under a set time scale, the virtual power plant predicts the demands of load users of each time scale in the future and determines the price expectation of the virtual power plant;
the virtual power plant signs an electric power purchase and sale package and an agreement with the load user according to the historical operation data and the prediction information of the load user, and determines a basic transaction amount and a transaction time period;
the virtual power plant participates in various transaction varieties under a preset time scale, and the transaction with an off-site market main body is achieved;
a trading organization party or a market main body forms a power generation plan and contract decomposition according to power generation and utilization requirements, technical conditions, requirements of a scheduling mechanism and contract agreement of the achieved trade, transaction information is submitted to the trading organization party, the scheduling mechanism performs security check, a final contract after being checked and formed by the trading organization party and a corresponding final contract decomposition execution plan are confirmed by the market main body, and power utilization plan curve confirmation under various trading components is completed;
the electric quantity is executed by a power grid marketing department or a dispatching mechanism according to the power utilization plan curve, a virtual power plant aggregate load user executes in the market through a virtual power plant platform and a trading platform, then the electric quantity execution requirement is provided for each party of a market main body according to contract decomposition conditions and the safe and stable operation requirement of the dispatching mechanism according to regions, and important information of power grid operation is provided for the market main body in time;
under the condition that a market main body is provided with an accurate measuring meter, a power grid enterprise combines a contract price provided by a transaction organization party and an electric quantity provided by a scheduling mechanism or a power grid marketing department to execute a measuring result, and charges a load user with the total cost after considering the power distribution cost.
3. The method of claim 1, wherein establishing a transaction settlement process for participation of the virtual power plant in the peak shaver market comprises a virtual power plant internal transaction process,
the internal transaction flow of the virtual power plant is a transaction flow between the virtual power plant and an internal main body, and specifically comprises the following steps:
before the execution day, the virtual power plant issues market opening information, and issues peak regulation requirements of the market to internal load resources of the virtual power plant, and the internal load resources of the virtual power plant complete peak regulation information application of the next day according to peak regulation capacity of the internal load resources; the virtual power plant integrates data declared by the internal load resources of the virtual power plant, quotes in a wholesale market according to the counted peak regulation data and finishes trading; according to the transaction clearing information, the decomposition of the bid winning result is completed, and an electricity utilization curve of the internal load resources of the virtual power plant on the execution day is formed;
on the execution day, the virtual power plant executes the power utilization curve according to the command of the dispatching center, and carries out discharge curve adjustment according to the actual demand, and the virtual power plant load resource carries out power utilization control according to the power utilization curve and the adjusted discharge curve;
after the execution day, the virtual power plant finishes the acquisition and statistics of the distributed virtual power plant load resource metering data; the virtual power plant completes the daily settlement of the interior according to the daily settlement result, counts the daily execution conditions, and summarizes the daily execution conditions for monthly settlement;
and completing the settlement of the internal month and the month.
4. The retail settlement method for the virtual power plant considering the medium-long term connection with the peak shaver market as claimed in claim 3, wherein the establishment of the transaction settlement process for the virtual power plant to participate in the peak shaver market includes an external transaction process of the virtual power plant, and the external transaction process of the virtual power plant is a transaction process between the virtual power plant and a transaction center, a dispatching organization and a power grid company, and specifically includes:
before the execution day, the power dispatching mechanism issues peak regulation demand information of each region to the transaction center; the trading center issues market information to the virtual power plant, the virtual power plant completes trading, the trading result is decomposed and distributed to internal load resources, and planned power utilization curves of each subject in the next day are transmitted to the internal load resources; the virtual power plant counts the peak shaving capacity of the internal load resource on the execution day, submits the peak shaving capacity to a trading center, forms a day-ahead power utilization plan considering peak shaving market trading, and releases the power utilization plan to the market; the trading center submits the clearing result of the market to a dispatching mechanism to participate in power dispatching; the dispatching mechanism pushes the clearing result to the transaction mechanism and synchronously completes a dispatching instruction; the trading mechanism pushes the clearing result and sends clearing trading information to the virtual power plant; the virtual power plant carries out bid winning result decomposition to form a daily power utilization curve of each internal load resource, and adjusts the daily charging plan;
on the execution day, the virtual power plant implements power utilization according to the declaration information, adjusts the charging curve and clears the charging curve in real time according to a set scheduling period; before each scheduling period, sequentially calling the day-ahead quoted prices of the peak shaving market from low price to high price for deep peak shaving to form a day-to-day power utilization plan, and reporting the final running power execution condition to a scheduling mechanism;
after the execution day, according to the final execution condition of the virtual power plant in the previous day, the execution information of actual participation in peak shaving and frequency modulation is transmitted to a trading center; the power grid company transmits historical operation data to a trading center, the virtual power plant transmits the actual participation condition statistical result of the internal load resource to the trading center, the actual regulating quantity participating in the peak regulation market is obtained based on the reference power of the virtual power plant, and the calculation flow of settlement amount is completed in the trading center; and the transaction center respectively submits the calculated settlement results to the power grid company and the virtual power plant.
5. The retail settlement method for virtual power plants considering medium-and long-term engagement with peak shaver markets as claimed in claim 1, wherein when the establishment is based on the medium-and long-term engagement with peak shaver markets, the same virtual power plant can only participate in one of the peak shaver market and the medium-and long-term market at the same time period in the day-ahead market during participation of the virtual power plant in the peak shaver market; the virtual power plant participates in the medium and long-term market and the peak shaving market to purchase power according to the retail power to the load user; in the settlement of the virtual power plant participating in the monthly middle and long-term market, a load user signs a monthly electric quantity contract by taking a month as a time scale, the actual net electric quantity purchased in the current month does not exceed a signed contract and is not checked, and a response checking punishment measure is carried out under the condition that the actual net electric quantity purchased in the current month exceeds a certain floating range of the signed contract, and the method specifically comprises the following steps:
Figure FDA0003898247580000031
wherein Q n Actual monthly power consumption of the virtual power plant; q. q of i Total electricity consumption on day i, P t,i The net external power consumption of the power plant is virtualized for the ith day t; delta Q p And checking the power consumption for monthly deviation.
6. The retail settlement method for virtual power plants considering the medium-long term and peak shaver market engagement according to claim 5, wherein when the establishment is based on the medium-long term and peak shaver market engagement method, the virtual power plants synchronously participate in the peak shaver market while participating in the medium-long term market, increase user load, and obtain extra income in response to system regulation; the virtual power plant participates in the settlement of the peak regulation market, the assessment settlement is carried out by taking the day as a unit, the load regulation quantity participating in the peak regulation is extra regulation power generated on the basis of medium and long term contracts, and the regulation quantity performs the assessment settlement by taking 96-point baselines in the day, and specifically comprises the following steps:
Figure FDA0003898247580000032
wherein,
Figure FDA0003898247580000033
the regulation quantity of the virtual power plant participating in the peak shaving market at the t period on the ith day,
Figure FDA0003898247580000034
is the baseline power value 96 points before the ith day t period,
Figure FDA0003898247580000035
peak regulation power at the ith day and t time period signed for a peak regulation market of a virtual power plant in the day-ahead market, wherein delta P is deviation electric power of the peak regulation market; in the middle and long term assessment process, the middle and long term assessment deviation part caused by the peak load regulation of the response system is deducted, and then the calculation formula of the final deviation assessment after correction is as follows:
Figure FDA0003898247580000036
ΔQ p′ and checking the power consumption for the corrected deviation.
7. The virtual power plant retail settlement method considering the medium-long term and peak shaving market connection according to claim 1, wherein when establishing the virtual power plant settlement model considering the medium-long term and peak shaving auxiliary service connection deviation, the evaluation mode of the monthly power contract is as follows: after the virtual power plant participates in the peak shaving market, the original power curve of the day changes, the virtual power plant automatically changes the power curve of the subsequent date according to the production and living characteristics of self polymerization resources, and monthly power consumption assessment is carried out according to the original monthly power consumption index; the penalty range of the assessment deviation amount is set to be within 3 percent of the contract amount; the maximum comprehensive settlement income in a rolling time domain within a month is an objective function, and the expression is as follows:
Figure FDA0003898247580000041
Q pi =x 1i (t)*(C p1 -C pc1 )+x 2i (t)*(C p2 -C pc2 )
Figure FDA0003898247580000042
Figure FDA0003898247580000043
wherein Q is m Purchasing electric quantity for monthly total contract; q pi The income of peak regulation for the ith day; q di Penalty fee for day i; c p1 And C p2 Respectively subsidies participating in interruptible and translatable peak regulation; c pc1 And C pc2 Costs of participation in interruptible and translatable peak shaving, respectively; x is the number of 1i (t) and x 2i (t) the interruptible amount and the translatable amount in the ith day check deviation amount respectively; f, judging whether the offset amount is within the punishment range during monthly settlement; d q For a penalty price of deviation, Δ Q p′ And checking the power consumption for the corrected deviation.
8. The method of claim 7, wherein when establishing the virtual plant settlement model considering the deviation of the medium-long term and peak shaving auxiliary service engagement, the medium-long term market constraints are as follows:
Figure FDA0003898247580000044
wherein, the predicted value H M-N Base line load value, Q, as a function of calculated tunable potential n To simulate monthly actual power usage, Δ Q, of a power plant p Checking the power consumption for monthly deviation; the peak regulation market constraint conditions are as follows:
Figure FDA0003898247580000045
wherein,
Figure FDA0003898247580000046
is as followsAdjusting quantity of a virtual power plant participating in a peak regulation market at t time of day i; x is the number of 1 (t) and x 2 (t) an interruptible amount and a translatable amount in the assessment deviation amount respectively;
Figure FDA0003898247580000047
and
Figure FDA0003898247580000048
respectively, a lower limit and an upper limit of the participatable interrupt amount;
Figure FDA0003898247580000049
and
Figure FDA00038982475800000410
respectively is a lower limit and an upper limit of the translation amount which can participate; eta 1 (t) and η 2 (t) load up and down regulation potentials at time t, respectively; l is 1t And L 2t Respectively, a maximum baseline load and a minimum baseline load at time t.
9. The virtual power plant retail settlement method considering medium-long term and peak shaving market engagement according to claim 1, wherein the proposing of the measure and deviation processing method based on the virtual power plant settlement model to obtain the settlement basis is specifically: when retail settlement is carried out on the virtual power plant aggregated load users, at the moment t, the actual response rate is expressed as:
Figure FDA0003898247580000051
the actual user response is expressed as: s. the t =|L t -A t L, where η t The actual response rate at the moment t; s. the t Is the actual response at time t, F t Signing amount for the contract at the time t; l is a radical of an alcohol t The average power of the actual response time of the load at the moment t; a. The t Baseline average power at time t; establishing a settlement basis capable of adjusting load:
Figure FDA0003898247580000052
wherein R is t The price is cleared for the moment t.
10. A virtual power plant retail settlement device that considers medium and long term engagement with peak shaving markets, comprising:
the system comprises an establishing module, a peak shaving auxiliary service module and a peak shaving auxiliary service module, wherein the establishing module is used for establishing a transaction settlement process of a virtual power plant participating in a medium-long term market, a transaction settlement process of a virtual power plant participating in a peak shaving market, an intermediate-long term and peak shaving market connection method and a virtual power plant settlement model considering intermediate-long term and peak shaving auxiliary service connection deviation;
and the settlement module is used for proposing a metering and deviation processing method based on the virtual power plant settlement model to obtain a settlement basis and settling according to the settlement basis.
11. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the computer program performs the steps of the virtual power plant retail settlement method of any one of claims 1-9 taking into account medium and long term engagement with peak shaver markets.
12. A computer-readable storage medium, having stored thereon a computer program, wherein the computer program, when executed by a processor, performs the steps of the virtual plant retail settlement method of any of claims 1-9 taking into account medium and long term engagement with peak shaver markets.
CN202211281076.7A 2022-10-19 2022-10-19 Virtual power plant retail settlement method considering medium-long term and peak regulation market connection Pending CN115619483A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116720885A (en) * 2023-08-07 2023-09-08 国网安徽省电力有限公司经济技术研究院 Distributed virtual power plant control method and system in electric power spot market environment

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116720885A (en) * 2023-08-07 2023-09-08 国网安徽省电力有限公司经济技术研究院 Distributed virtual power plant control method and system in electric power spot market environment
CN116720885B (en) * 2023-08-07 2023-10-20 国网安徽省电力有限公司经济技术研究院 Distributed virtual power plant control method and system in electric power spot market environment

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