Power system sending-using alliance deviation linkage method, equipment, medium and product

Abstract

The invention discloses a power system sending-using alliance deviation linkage method and device, a medium and a product, and relates to the field of resource matching transactions, and the method comprises the steps: obtaining the historical output condition of new energy and the historical output condition of a user side; according to the historical output condition of the new energy and the historical output condition of the user side, a polyhedral uncertain set is adopted to determine the balance demand of the unbalanced responsible party of the transmitting-using alliance; establishing an intra-day transmitting-using alliance deviation linkage resource matching transaction model which takes the minimum intra-day power system balance cost as an objective function and takes the balance demand of the transmitting-using alliance unbalanced responsible party to determine a power balance constraint and a balance adjustment constraint as constraint conditions; determining an adjustment result of a balance adjustment party according to the intraday sending-using alliance deviation linkage resource matching transaction model; the balance risk of the power system is effectively solved, and stable operation of the power system is ensured.

Description

Technical Field

[0001] The present application relates to the field of resource matching transactions, and in particular to a method, device, medium and product for linking deviations of power generation and consumption alliances in a power system. Background Art

[0002] With the development of a new power system and the deepening of power market reforms, the scale of participation of operators, particularly those representing new energy sources, in the spot market has gradually expanded, increasing market activity and fostering a diversified competitive landscape. With the full participation of new energy in market transactions, it marks the transition from guaranteed procurement and orderly market entry to full market access. However, due to the inherent volatility of new energy output, the power system will shift from the traditional "source follows load" model to a "stochastic dual-source and load" model, further exacerbating the balance risk of the power system.

[0003] To address power system balance risks, more mature power markets abroad typically have balancing markets, such as the Nordic Balancing Market, the UK Balancing Mechanism, and the real-time balancing market of the US Power Market Manager (PJM Interconnection LLC, PJM). Considering that the closer to the dispatch execution time, the higher the forecast accuracy of the operating entity, the power balancing market is established on the intraday scale between the day-ahead and real-time markets, providing an opportunity to correct changes in the operating entity's status. Compared with foreign markets, China's current provincial spot markets only have day-ahead and real-time markets. The response mechanism for addressing power system balance issues on the intraday time scale is relatively simple. It usually uses adjustable resources on the generation side to perform balancing control within the scope of ancillary services, or uses demand response and other means to incentivize users to balance the supply and demand relationship of the power system. This will gradually become insufficient to address the power system balance risks caused by the full entry of new energy into the market.

[0004] On the one hand, the current market for flexible resources is relatively underdeveloped, and power system dispatching is complex, resulting in high operating and balancing costs without a standardized market-based mitigation approach. For example, the composition of demand response resources is primarily based on invitation-based adjustments by users, the marketization of compensation mechanisms is limited, and the identification of balancing responsibilities is unclear. On the other hand, the current power system is relatively short of flexible resources, and market operators lack the initiative to participate in power system balancing. For example, the potential of existing flexible resources, such as those on the user side, has not been fully explored. The current market development is not mature enough to directly emulate the establishment of balancing markets in foreign countries. Therefore, to adapt to the new power system dominated by low-confidence renewable energy, there is an urgent need to provide a generation-consumption alliance deviation linkage method that effectively addresses power system balancing risks. Summary of the Invention

[0005] The purpose of this application is to provide a method, equipment, medium and product for the linkage of power generation and consumption alliance deviation in a power system, so as to effectively solve the balance risk of the power system and ensure the smooth operation of the power system.

[0006] To achieve the above objectives, this application provides the following solutions:

[0007] In a first aspect, the present application provides a method for linking power generation and consumption alliance deviations in a power system, the method comprising:

[0008] Obtain historical output of new energy and historical output of user side;

[0009] Based on the historical output of renewable energy and the historical output of the user side, a polyhedron uncertainty set is used to determine the balancing needs of the imbalance responsible parties of the power generation-consumption alliance; the imbalance responsible parties of the power generation-consumption alliance include renewable energy and the user side;

[0010] A daily generation-consumption alliance deviation linkage resource matching transaction model is established, with the objective function being to minimize the daily power system balancing cost, and the power balance constraints and balance regulation constraints determined by the balancing demands of the imbalance-responsible parties in the generation-consumption alliance as constraints. The balance regulation constraints include: conventional unit output constraints, conventional unit ramping constraints, conventional unit regulation direction constraints, energy storage charging and discharging constraints, energy storage charging and discharging constraints, user-side capacity constraints, user-side regulation direction constraints, and line flow constraints.

[0011] The adjustment results of the balancing regulator are determined based on the intraday generation-consumption alliance deviation linkage resource matching transaction model; the balancing regulator includes: conventional units, energy storage and adjustable loads.

[0012] Optionally, based on the historical output of renewable energy and the historical output of the user side, a polyhedron uncertainty set is used to determine the balancing needs of the party responsible for the imbalance in the power generation-consumption alliance, specifically including:

[0013] Determine the new energy output curve and the user-side electricity consumption curve based on the historical output of new energy and the historical output of the user side;

[0014] Determine the net load curve of the new energy source and the net load curve of the user side according to the corresponding new energy output curve and the user side power consumption curve;

[0015] According to the net load curve of renewable energy and the net load curve of the user side, the uncertainty of renewable energy output and the uncertainty of user side output are determined respectively by using polyhedron uncertainty set.

[0016] The balancing needs of the party responsible for the imbalance in the power generation and consumption alliance are determined based on the uncertainty of new energy output and the uncertainty of user-side output.

[0017] Optionally, the determining of the uncertainty of the output of the new energy and the uncertainty of the output of the user side using a polyhedron uncertainty set according to the net load curve of the new energy and the net load curve of the user side respectively includes:

[0018] Using the formula Determine the uncertainty of renewable energy output;

[0019] in, is the actual output of photovoltaic a at time t, is the expected output value of photovoltaic a at time t, is the actual output of wind power b at time t, is the expected output value of wind power b at time t, is the maximum fluctuation of the output range of renewable energy j at time t; Γ is the uncertainty, ζ Phd is an uncertain set of polyhedra, ξ j,t is the uncertainty factor of new energy j at time t, and new energy j includes photovoltaic a and wind power b.

[0020] Optionally, determining the balancing requirement of the party responsible for the imbalance in the power generation-consumption alliance based on the uncertainty of the output of new energy sources and the uncertainty of the output on the user side specifically includes:

[0021] Using the formula Determine the balancing needs of the parties responsible for imbalances in the developer-consumer alliance;

[0022] Where ΔF t To meet the balance requirements of the imbalance responsible party in the development-use alliance, P t nl is the actual net load at time t, P t L is the actual load power at time t, P t PV is the actual photovoltaic power station power at time t, P t PW is the actual wind power station power at time t, P t con is the predicted contracted net load at time t.

[0023] Optionally, the objective function of the intraday issue-use alliance deviation linkage resource matching transaction model is:

[0024]

[0025] in, and are the power increase and power decrease of conventional unit g at time t respectively; and are the upward adjustment cost and downward adjustment cost of conventional unit g at time t respectively; and are the upward power and downward power of energy storage s at time t respectively; and are the upward adjustment cost and downward adjustment cost of energy storage s at time t respectively; and are the power increase and power decrease of user side u at time t respectively; and are the upward compensation cost and downward compensation cost of user side u at time t respectively.

[0026] Optionally, the constraints of the intraday issuer-user alliance deviation linkage resource matching transaction model include:

[0027] Using the formula Determine the power balance constraint; where ΔF a,t is the balancing demand of PV a in the imbalance-responsible party of the power generation-consumption alliance, where the superscript + represents a positive deviation and the superscript - represents a negative deviation;

[0028] Using the formula Determine the output constraint of conventional unit g; where, is the output of conventional unit g at time t; P g,min is the minimum output of conventional unit g; P g,max is the maximum output of conventional unit g;

[0029] Using the formula Determine the ramping constraint of the conventional unit g; where, are the maximum ramp-up rate and maximum ramp-down rate of conventional unit g respectively; is the output of conventional unit g at time t+1, and are the power increase and power decrease of conventional unit g at time t+1 respectively;

[0030] Using the formula Determine the regulation direction constraints of conventional unit g;

[0031] Using the formula E s,min ≤E s,t ≤E s,max and Determine the charge and discharge constraints of energy storage s; where, are the maximum discharge and charge powers of energy storage s, respectively; E s,t+1 and E s,t are the energy of the energy storage s at time t and time t+1 respectively; η ch ,η dis are the charging efficiency and discharging efficiency of energy storage s respectively; E s,min 、E s,maxare the minimum and maximum energy storage capacities of energy storage s, respectively;

[0032] Using the formula Determine the capacity constraint on the user side; where the minimum capacity of the user side u; P u,max is the maximum capacity of u on the user side;

[0033] Using the formula Determine the adjustment direction constraints on the user side;

[0034] Using formula P z,k,t =B z,k (θ z,k -θ z,k )and Determine the line flow constraints; where P z,k,t is the power flow from line z to line k at time t; B z,k is the admittance value from line z to line k; θ z,t ,θ k,t are the voltage phase angles of line z and line k at time t respectively; is the maximum power flow from line z to line k.

[0035] In a second aspect, the present application provides a power system generation-consumption alliance deviation linkage device, the power system generation-consumption alliance deviation linkage device comprising:

[0036] The output acquisition module is used to obtain the historical output of new energy sources and the historical output of the user side;

[0037] A balancing demand determination module is used to determine the balancing demand of the parties responsible for imbalance in the power generation-consumption alliance based on the historical output of renewable energy and the historical output of the user side, using polyhedron uncertainty sets. The parties responsible for imbalance in the power generation-consumption alliance include renewable energy and the user side.

[0038] A model building module is used to establish a daily generation-consumption alliance deviation linkage resource matching transaction model with the objective function of minimizing the intraday power system balancing cost and the power balance constraints and balance regulation constraints determined by the balancing demand of the imbalance responsible party of the generation-consumption alliance as constraints; the balance regulation constraints include: conventional unit output constraints, conventional unit ramping constraints, conventional unit regulation direction constraints, energy storage charging and discharging constraints, energy storage charging and discharging constraints, user-side capacity constraints, user-side regulation direction constraints, and line flow constraints;

[0039] The adjustment and matching module is used to determine the adjustment results of the balancing adjustment party based on the intraday generation-consumption alliance deviation linkage resource matching transaction model; the balancing adjustment party includes: conventional units, energy storage and adjustable loads.

[0040] In a third aspect, the present application provides a computer device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the power system generation-consumption alliance deviation linkage method.

[0041] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the power system generation-consumption alliance deviation linkage method.

[0042] In a fifth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the power system generation-consumption alliance deviation linkage method.

[0043] According to the specific embodiments provided in this application, this application has the following technical effects:

[0044] The present application provides a method, device, medium and product for the deviation linkage of a power system's generation-consumption alliance. To adapt to a new power system dominated by low-confidence renewable energy, the method determines the balancing needs of the imbalance-responsible parties of the generation-consumption alliance composed of renewable energy and user sides, and then establishes an intraday generation-consumption alliance deviation linkage resource matching transaction model with the minimization of the intraday power system balancing cost as the objective function, and determines the power balance constraint and the balance regulation constraint based on the balancing needs of the imbalance-responsible parties of the generation-consumption alliance as constraints. The method effectively alleviates the real-time market balancing pressure and ensures the smooth operation of the power system; significantly reduces the balancing cost of the power system and further stimulates the regulation potential of the power system. For business entities participating in the market, the choice of renewable energy and user sides to join the intraday generation-consumption alliance deviation linkage resource matching transaction can reduce the deviation assessment cost; the intraday generation-consumption alliance deviation linkage resource matching transaction of the balancing regulation parties such as conventional units can obtain benefits and realize market-based cost recovery. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0046] Figure 1 This is a flow chart of a method for linking power generation and consumption alliance deviations in an electric power system according to an embodiment of the present application;

[0047] Figure 2 This is a diagram of the architecture of the intraday issue-use alliance deviation linkage resource matching trading market;

[0048] Figure 3 This is a diagram of the transaction process for intraday issuance and use of alliance deviation linkage resources matching;

[0049] Figure 4 Schematic diagram of polyhedron sets under different degrees of certainty;

[0050] Figure 5 This is a flexible resource output diagram when the uncertainty in the intraday issue-use alliance deviation linkage resource matching transaction results is 0.1;

[0051] Figure 6 This is a flexible resource output diagram for the case where the uncertainty in the intraday emitter-user alliance deviation linkage resource matching transaction results is 0.4;

[0052] Figure 7 This is a graph of flexible resource output when the uncertainty in the intraday issue-use alliance deviation linkage resource matching transaction results is 0.7. DETAILED DESCRIPTION

[0053] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0054] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0055] Based on the fact that the existing flexibility resource market is relatively backward and cannot effectively relieve the cost of power system balance and the operating entities lack the initiative to participate in the balance of power system, this application proposes a power system generation-consumption alliance deviation linkage method, such as Figure 2 As shown in the figure, first, the supply and demand entities participating in the matching transaction are determined to be the balancing responsible parties such as new energy, user side and the generation-use alliance formed by them, and the balancing regulators such as conventional units (power sources), energy storage, and adjustable loads; second, it is clarified that the transaction subject is the balancing regulation capability; finally, it is stipulated that the transaction is organized by the power system operator (SO).

[0056] In an exemplary embodiment, Figure 1 As shown, a method for linking power generation and consumption alliance deviation in a power system is provided, which includes the following S101 to S104.

[0057] S101, obtain the historical output of new energy and the historical output of the user side; that is, conduct bilateral negotiations and delisting transactions in the medium and long term, report the results of the "generation-use alliance" reached in the near future to the SO, and participate in the diversified flexible resource matching transactions as the imbalance responsible party within the day.

[0058] S102: Based on the historical output of renewable energy and the historical output of the user side, the polyhedron uncertainty set is used to determine the balance requirements of the imbalance-responsible parties in the power generation-consumption alliance, and then perform deviation matching. The imbalance-responsible parties in the power generation-consumption alliance include renewable energy and the user side. Users within the power generation-consumption alliance can autonomously coordinate and perform deviation-linked matching based on renewable energy requirements. This provides a targeted utility approach for distributed load regulation resources and simplifies SO scheduling.

[0059] S102 specifically includes:

[0060] S21, determining a new energy output curve and a user-side electricity consumption curve according to the historical output of the new energy and the historical output of the user side;

[0061] S22, determining a net load curve of the new energy source and a net load curve of the user side according to the new energy source output curve and the user side power consumption curve;

[0062] S23, according to the net load curve of the new energy and the net load curve of the user side, using the polyhedron uncertainty set to determine the uncertainty of the new energy output and the uncertainty of the user side output respectively;

[0063] This application takes into account the increasing impact of the volatility of renewable energy and load uncertainty on market transactions. When considering the demand for balancing the power deviation of the new power system, the two can be matched in a two-way manner to form a power generation-consumption alliance. The changes in net load within the power generation-consumption alliance are used to describe the overall power system balancing needs of the power generation-consumption alliance, maximizing resource utilization while minimizing balancing costs. Taking a certain alliance in the power system as an example, first, a polyhedron uncertainty set is used to describe the uncertainty of renewable energy output, and the conservatism of power system operation is controlled by changing the uncertainty;

[0064] Using the formula Determine the uncertainty of renewable energy output;

[0065] in, is the actual output of photovoltaic a at time t, is the expected output value of photovoltaic a at time t, is the actual output of wind power b at time t, is the expected output value of wind power b at time t, is the maximum fluctuation of the output range of renewable energy j at time t; Γ is the uncertainty, ζPhd is an uncertain set of polyhedra, ξ j,t is the uncertainty factor of new energy j at time t, and its envelope range is as follows Figure 4 As shown, new energy j includes photovoltaic a and wind power b.

[0066] S24, determining the balancing needs of the party responsible for the imbalance in the power generation-consumption alliance based on the uncertainty of new energy output and the uncertainty of user-side output.

[0067] Specifically, the uncertainty of renewable energy output and the uncertainty of user-side output are combined, when ΔF t <0, it means that the party responsible for the imbalance has an upward demand; when ΔF t When >0, it means the party responsible for the imbalance has a demand for downward adjustment.

[0068] Using the formula Determine the balancing needs of the parties responsible for imbalances in the developer-consumer alliance;

[0069] Where ΔF t To meet the balance requirements of the imbalance responsible party in the development-use alliance, P t nl is the actual net load at time t, P t L is the actual load power at time t, P t PV is the actual photovoltaic power station power at time t, P t PW is the actual wind power station power at time t, P t con is the predicted contracted net load at time t.

[0070] The party responsible for the imbalance in the power generation and consumption alliance changes the new energy output curve and the user-side power consumption curve to the corresponding new energy and user-side net load curve on the intraday time scale. The net load curve deviation under different time sequences is the result of the deviation linkage between the power generation and consumption sides. Then, the party responsible for the imbalance in the power generation and consumption alliance cannot use the deviation demand of internal balance to conduct intraday power generation and consumption alliance deviation linkage resource matching transactions to achieve the overall deviation linkage of the power system. The intraday power generation and consumption alliance deviation linkage resource matching transaction process is as follows: Figure 3 shown.

[0071] S103: Establishing a daily generation-consumption alliance deviation linkage resource matching and trading model with minimization of the daily power system balancing cost as the objective function and power balancing constraints and balancing regulation constraints determined by the balancing demands of the imbalance-responsible parties in the generation-consumption alliance as constraints; improving the overall welfare of the power system through the daily generation-consumption alliance deviation linkage resource matching and trading model; wherein the balancing regulation constraints include: conventional unit output constraints, conventional unit ramping constraints, conventional unit regulation direction constraints, energy storage charging and discharging constraints, energy storage charging and discharging constraints, user-side capacity constraints, user-side regulation direction constraints, and line flow constraints;

[0072] The objective function of the intraday issue-use alliance deviation linkage resource matching transaction model is:

[0073]

[0074] in, and are the power increase and power decrease of conventional unit g at time t respectively; and are the upward adjustment cost and downward adjustment cost of conventional unit g at time t respectively; and are the upward power and downward power of energy storage s at time t respectively; and are the upward adjustment cost and downward adjustment cost of energy storage s at time t respectively; and are the power increase and power decrease of user side u at time t respectively; and are the upward compensation cost and downward compensation cost of user side u at time t respectively.

[0075] The constraints of the intraday issue-use alliance deviation linkage resource matching transaction model include:

[0076] Using the formula Determine the power balance constraint; where ΔF a,t is the balancing demand of PV a in the imbalance-responsible party of the power generation-consumption alliance, where the superscript + represents a positive deviation and the superscript - represents a negative deviation;

[0077] Using the formula Determine the output constraint of conventional unit g; where, is the output of conventional unit g at time t; P g,min is the minimum output of conventional unit g; P g,max is the maximum output of conventional unit g;

[0078] Using the formula Determine the ramping constraint of the conventional unit g; where, are the maximum ramp-up rate and maximum ramp-down rate of conventional unit g respectively; is the output of conventional unit g at time t+1, and are the power increase and power decrease of conventional unit g at time t+1 respectively;

[0079] Using the formula Determine the regulation direction constraints of conventional unit g;

[0080] Using the formula E s,min ≤E s,t ≤E s,max and Determine the charge and discharge constraints of energy storage s; where, are the maximum discharge and charge powers of energy storage s, respectively; E s,t+1 and E s,t are the energy of the energy storage s at time t and time t+1 respectively; η ch ,η dis are the charging efficiency and discharging efficiency of energy storage s respectively; E s,min 、E s,max are the minimum and maximum energy storage capacities of energy storage s, respectively;

[0081] Using the formula Determine the capacity constraint on the user side; where the minimum capacity of the user side u; P u,max is the maximum capacity of u on the user side;

[0082] Using the formula Determine the adjustment direction constraints on the user side;

[0083] Using the formula P z,k,t =B z,k (θ z,k -θ z,k )and Determine the line flow constraints; where P z,k,t is the power flow from line z to line k at time t; B z,k is the admittance value from line z to line k; θ z,t ,θ k,t are the voltage phase angles of line z and line k at time t respectively; is the maximum power flow from line z to line k.

[0084] S104, determining the adjustment result of the balancing regulator based on the intraday generation-consumption alliance deviation linkage resource matching transaction model; the balancing regulator includes: conventional units, energy storage and adjustable loads.

[0085] like Figure 5-Figure 7This is a diagram of the intraday issue-use alliance deviation linkage resource matching transaction results, where Pg up 、Pg dw Represents the power increase and decrease of conventional units, Ps up 、Ps dw Represents the energy storage power increase and decrease, Pu up 、Pu dw Adjust power up and down on behalf of the user.

[0086] The implementation of S101-S104 above in this application has the following beneficial effects:

[0087] 1) As the uncertainty on both the source and load sides increases, the imbalance and balancing costs of the power system increase. The increase in the intraday diversified flexible resource matching transaction volume of this application can effectively alleviate the real-time market balancing pressure and ensure the smooth operation of the power system.

[0088] 2) Compared with existing transactions, the intraday multi-flexible resource matching transaction of this application can significantly reduce the balancing cost of the power system and further stimulate the regulation potential of the power system.

[0089] 3) For the operating entities participating in the market, new energy and user-side options to join the intraday generation-use alliance deviation linkage resource matching transaction can reduce the deviation assessment cost; conventional units and other balancing adjustment parties can obtain benefits and realize market-based cost recovery through the intraday generation-use alliance deviation linkage resource matching transaction.

[0090] Based on the same inventive concept, embodiments of the present application also provide a power system generation-consumption alliance deviation linkage device for implementing the aforementioned power system generation-consumption alliance deviation linkage method. The solution provided by this device is similar to the solution described in the aforementioned method. Therefore, the specific limitations of one or more power system generation-consumption alliance deviation linkage device embodiments provided below can be found in the above-mentioned limitations of the power system generation-consumption alliance deviation linkage method, and will not be repeated here.

[0091] In an exemplary embodiment, a power system generation-consumption alliance deviation linkage device is provided, including:

[0092] The output acquisition module is used to obtain the historical output of new energy sources and the historical output of the user side;

[0093] A balancing demand determination module is used to determine the balancing demand of the parties responsible for imbalance in the power generation-consumption alliance based on the historical output of renewable energy and the historical output of the user side, using polyhedron uncertainty sets. The parties responsible for imbalance in the power generation-consumption alliance include renewable energy and the user side.

[0094] A model building module is used to establish a daily generation-consumption alliance deviation linkage resource matching transaction model with the objective function of minimizing the intraday power system balancing cost and the power balance constraints and balance regulation constraints determined by the balancing demand of the imbalance responsible party of the generation-consumption alliance as constraints; the balance regulation constraints include: conventional unit output constraints, conventional unit ramping constraints, conventional unit regulation direction constraints, energy storage charging and discharging constraints, energy storage charging and discharging constraints, user-side capacity constraints, user-side regulation direction constraints, and line flow constraints;

[0095] The adjustment and matching module is used to determine the adjustment results of the balancing adjustment party based on the intraday generation-consumption alliance deviation linkage resource matching transaction model; the balancing adjustment party includes: conventional units, energy storage and adjustable loads.

[0096] In an exemplary embodiment, a computer device is provided, which may be a server or a terminal. The computer device includes a processor, a memory, an input / output interface (I / O), and a communication interface. The processor, the memory, and the input / output interface are connected via a system bus, and the communication interface is connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a method for linking deviations of a power system generation-consumption alliance is implemented.

[0097] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0098] In an exemplary embodiment, a computer program product is provided, including a computer program. When the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0099] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0100] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0101] The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processors involved in the various embodiments provided herein may include, but are not limited to, general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic units, data processing logic units based on quantum computing, and the like.

[0102] In this application, all actions to obtain signals, information or data are carried out in compliance with the relevant data protection laws and policies of the country where they are located and with the authorization given by the owner of the corresponding device.

[0103] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0104] This document uses specific examples to illustrate the principles and implementation methods of this application. The description of the above examples is only intended to help understand the method and core concept of this application. At the same time, for those skilled in the art, based on the concept of this application, there may be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A method for linking power generation and consumption alliance deviations in a power system, characterized in that: The power system generation-consumption alliance deviation linkage method includes: Obtain historical output of new energy and historical output of user side; Based on the historical output of renewable energy and the historical output of the user side, a polyhedron uncertainty set is used to determine the balancing needs of the imbalance responsible parties of the power generation-consumption alliance; the imbalance responsible parties of the power generation-consumption alliance include renewable energy and the user side; A daily generation-consumption alliance deviation linkage resource matching transaction model is established, with the objective function being to minimize the daily power system balancing cost, and the power balance constraints and balance regulation constraints determined by the balancing demands of the imbalance-responsible parties in the generation-consumption alliance as constraints. The balance regulation constraints include: conventional unit output constraints, conventional unit ramping constraints, conventional unit regulation direction constraints, energy storage charging and discharging constraints, energy storage charging and discharging constraints, user-side capacity constraints, user-side regulation direction constraints, and line flow constraints. The adjustment results of the balancing regulator are determined based on the intraday generation-consumption alliance deviation linkage resource matching transaction model; the balancing regulator includes: conventional units, energy storage and adjustable loads.

2. The power system generation-consumption alliance deviation linkage method according to claim 1, characterized in that: Based on the historical output of renewable energy and the historical output of the user side, the balancing needs of the party responsible for the imbalance in the power generation-consumption alliance are determined using polyhedron uncertainty sets, including: Determine the new energy output curve and the user-side electricity consumption curve based on the historical output of new energy and the historical output of the user side; Determine the net load curve of the new energy source and the net load curve of the user side according to the corresponding new energy output curve and the user side electricity consumption curve; According to the net load curve of renewable energy and the net load curve of the user side, the uncertainty of renewable energy output and the uncertainty of user side output are determined respectively by using polyhedron uncertainty set. The balancing needs of the party responsible for the imbalance in the power generation and consumption alliance are determined based on the uncertainty of new energy output and the uncertainty of user-side output.

3. The power system generation-consumption alliance deviation linkage method according to claim 2, characterized in that: The method of using a polyhedron uncertainty set to determine the uncertainty of the output of the new energy source and the uncertainty of the output of the user side, based on the net load curve of the new energy source and the net load curve of the user side, specifically includes: Using the formula Determine the uncertainty of renewable energy output; in, is the actual output of photovoltaic a at time t, is the expected output value of photovoltaic a at time t, is the actual output of wind power b at time t, is the expected output value of wind power b at time t, is the maximum fluctuation of the output range of renewable energy j at time t; Γ is the uncertainty, ζ Phd is an uncertain set of polyhedra, ξ j,t is the uncertainty factor of new energy j at time t, and new energy j includes photovoltaic a and wind power b.

4. The power system generation-consumption alliance deviation linkage method according to claim 3 is characterized in that: Determining the balancing needs of the party responsible for imbalance in the power generation-consumption alliance based on the uncertainty of new energy output and the uncertainty of user-side output specifically includes: Using the formula Determine the balancing needs of the parties responsible for imbalances in the developer-consumer alliance; Where ΔF t To meet the balance requirements of the imbalance responsible party in the development-use alliance, P t nl is the actual net load at time t, P t L is the actual load power at time t, P t PV is the actual photovoltaic power station power at time t, P t PW is the actual wind power station power at time t, P t con is the predicted contracted net load at time t.

5. The power system generation-consumption alliance deviation linkage method according to claim 1, characterized in that: The objective function of the intraday issue-use alliance deviation linkage resource matching transaction model is: in, and are the power increase and power decrease of conventional unit g at time t respectively; and are the upward adjustment cost and downward adjustment cost of conventional unit g at time t respectively; and are the upward power and downward power of energy storage s at time t respectively; and are the upward adjustment cost and downward adjustment cost of energy storage s at time t respectively; and are the power increase and power decrease of user side u at time t respectively; and are the upward compensation cost and downward compensation cost of user side u at time t respectively.

6. The power system generation-consumption alliance deviation linkage method according to claim 5, characterized in that: The constraints of the intraday issue-use alliance deviation linkage resource matching trading model include: Using the formula Determine the power balance constraint; where ΔF a,t is the balancing demand of PV a in the imbalance-responsible party of the power generation-consumption alliance, where the superscript + represents a positive deviation and the superscript - represents a negative deviation; Using the formula Determine the output constraint of conventional unit g; where, is the output of conventional unit g at time t; P g,min is the minimum output of conventional unit g; P g,max is the maximum output of conventional unit g; Using the formula Determine the ramping constraint of the conventional unit g; where, are the maximum ramp-up rate and maximum ramp-down rate of conventional unit g respectively; is the output of conventional unit g at time t+1, and are the power increase and power decrease of conventional unit g at time t+1 respectively; Using the formula Determine the regulation direction constraints of conventional unit g; Using the formula E s,min ≤E s,t ≤E s,max and Determine the charge and discharge constraints of energy storage s; where, are the maximum discharge and charge powers of energy storage s, respectively; E s,t+1 and E s,t are the energy of the energy storage s at time t and time t+1 respectively; η ch ,η dis are the charging efficiency and discharging efficiency of energy storage s respectively; E s,min 、E s,max are the minimum and maximum energy storage capacities of energy storage s, respectively; Using the formula Determine the capacity constraint on the user side; where the minimum capacity of the user side u; P u,max is the maximum capacity of u on the user side; Using the formula Determine the adjustment direction constraints on the user side; Using formula P z,k,t =B z,k (θ z,k -θ z,k )and Determine the line flow constraints; where P z,k,t is the power flow from line z to line k at time t; B z,k is the admittance value from line z to line k; θ z,t ,θ k,t are the voltage phase angles of line z and line k at time t respectively; is the maximum power flow from line z to line k.

7. A power system generation-consumption alliance deviation linkage device, characterized in that: The power system's generation-consumption alliance deviation linkage device includes: The output acquisition module is used to obtain the historical output of new energy sources and the historical output of the user side; A balancing demand determination module is used to determine the balancing demand of the parties responsible for imbalance in the power generation-consumption alliance based on the historical output of renewable energy and the historical output of the user side, using polyhedron uncertainty sets. The parties responsible for imbalance in the power generation-consumption alliance include renewable energy and the user side. A model building module is used to establish a daily generation-consumption alliance deviation linkage resource matching transaction model with the objective function of minimizing the intraday power system balancing cost and the power balance constraints and balance regulation constraints determined by the balancing demand of the imbalance responsible party of the generation-consumption alliance as constraints; the balance regulation constraints include: conventional unit output constraints, conventional unit ramping constraints, conventional unit regulation direction constraints, energy storage charging and discharging constraints, energy storage charging and discharging constraints, user-side capacity constraints, user-side regulation direction constraints, and line flow constraints; The adjustment and matching module is used to determine the adjustment results of the balancing adjustment party based on the intraday generation-consumption alliance deviation linkage resource matching transaction model; the balancing adjustment party includes: conventional units, energy storage and adjustable loads.

8. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the power system generation-consumption alliance deviation linkage method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the power system generation-consumption alliance deviation linkage method according to any one of claims 1 to 6 is implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the power system generation-consumption alliance deviation linkage method according to any one of claims 1 to 6 is implemented.

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