CN-122026382-A - Distributed clearing method, system, equipment and medium for flexible market of power distribution network

CN122026382ACN 122026382 ACN122026382 ACN 122026382ACN-122026382-A

Abstract

The invention provides a distributed clearing method, a distributed clearing system, distributed clearing equipment and distributed clearing media for a power distribution network flexible market, and belongs to the technical field of operation and control of power systems. The method comprises the steps of establishing a three-layer market architecture comprising a distribution system operator, flexibility aggregators and photovoltaic product eliminator clusters, identifying blocking time periods and nodes by the distribution system operator based on tide calculation, and distributing flexibility demand tables, making a bidding plan by each flexibility aggregator based on an internal optimization model of the flexibility aggregator, wherein the model takes into account operation constraint and translatable load characteristics of users of electric hydrogen coupling equipment, constructing a master-slave game model taking the distribution system operator as a leader and the aggregator as a follower, adopting a double-layer distributed optimization algorithm to conduct market clearing to obtain balanced flexibility service price and power, and completing settlement and scheduling according to clearing results. On the premise of protecting user privacy, the invention effectively aggregates and utilizes the flexibility of the electro-hydrogen coupling system and the distributed resources, and cooperatively relieves the blocking of the power distribution network.

Inventors

JIN XIAOLONG
LIANG SHUO
JIA HONGJIE
MU YUNFEI
YU XIAODAN
WANG JIE

Assignees

天津大学

Dates

Publication Date: 20260512
Application Date: 20260203

Claims (10)

1. The distributed clearing method for the flexible market of the power distribution network is characterized by comprising the following steps of: Step S1, a three-layer market architecture comprising a distribution system operator, at least one flexibility aggregator and a photovoltaic generator cluster connected with the flexibility aggregator is established; S2, a power distribution system operator acquires a daily baseline energy consumption plan of each photovoltaic product eliminator cluster, performs power distribution network power flow calculation, and identifies a blocking period and a corresponding blocking node in which line overload or voltage out-of-limit will occur in the future; Step S3, generating and broadcasting a flexibility demand list to all flexibility aggregators by the power distribution system operators according to the identification result of the step S2; s4, each flexibility aggregator receives the flexibility demand list, and formulates a flexibility service bidding plan based on an internal optimization model of the flexibility aggregator, wherein the internal optimization model aims at maximizing the total profit of the flexibility aggregator; step S5, a master-slave game model taking a distribution system operator as a leader and each flexibility aggregator as a follower is established, market clearing is carried out through a double-layer distributed optimization algorithm, and a balanced solution is obtained through solving; And S6, the power distribution system operators settle accounts according to the clearing result of the step S5, pay the flexibility service cost to each flexibility aggregator, and each flexibility aggregator adjusts the operation plan of the electric hydrogen coupling system and the load of the generator and the generator cluster according to the clearing result and distributes benefits.
2. The flexible market distributed clearing method of a power distribution network according to claim 1, wherein in step S1, the three-layer market architecture is specifically: The first layer is a power distribution system operator and is responsible for supplying power to a flexibility aggregator and purchasing flexibility service through a flexibility market; The second layer is a flexible aggregator, serves as an intermediate agent, aggregates adjustable resources of the managed photovoltaic generator clusters, and forms an electric hydrogen coupling system by utilizing a proton exchange membrane electrolytic cell, a hydrogen storage system and a hydrogen fuel cell which are configured by the second layer to provide flexible service; the third layer is a cluster of photovoltaic producers and consumers, each equipped with distributed photovoltaic, whose load includes a fixed load and a translatable load, and participates in the market through the affiliated agility aggregator.
3. The power distribution network flexible market distributed clearing method according to claim 1, wherein step S2 specifically comprises: The power distribution system operator adopts tide calculation to evaluate technical feasibility based on a day-ahead baseline energy consumption plan, and calculates the load of each line and the voltage of each node; And judging the time period and the position of the load exceeding the rated capacity of the line or the voltage being lower than the safety lower limit as the blocking time period and the blocking node.
4. The flexible market distributed clearing method of a power distribution network according to claim 1, wherein in step S4, the internal optimization model of the flexible aggregator is specifically: Targeting the maximization of total profit, its objective function is: ; Wherein, the Is that Time of day aggregator Is a benefit of (2); And Respectively are provided with The time is the electricity selling price and the electricity purchasing price of the power grid; the node set is a power distribution network node set; the method is a set of all times before the day; Is a node A set of blocking moments; For connecting to the node Is made by a polymer An aggregated photovoltaic generator cluster; And Respectively, connected to the nodes Is made by a polymer An electrolytic cell and a fuel cell disposed therein; And Respectively are areas Fixed load and translatable load of midwifery eliminator; Is a region Photovoltaic power of the midwifery producer; Is that Time of day aggregator At the node A price at which flexibility is provided; Is that Time of day aggregator At the node Flexible power provided at; Is a heat price; , And Respectively is Time zone Is connected to the node Is made by a polymer The power consumption of the configured electrolytic tank, the generated power of HFC and the generated heat power; The internal optimization model is limited by the following constraints: Proton exchange membrane electrolyzer model: ; Wherein, the Is that Hydrogen energy produced by the electrolytic cell at any time; Is that Inputting electric energy of the electrolytic tank at any time; is the electro-hydrogen conversion efficiency; hydrogen storage system model: ; ; ; ; Wherein, the Is that Capacity of the hydrogen storage tank at the moment; Is that Capacity of the hydrogen storage tank at the moment; And The hydrogen storage and release efficiency of the hydrogen storage tank are respectively; And The power is stored and released by the hydrogen in the hydrogen storage tank respectively; And The minimum and maximum values of the hydrogen storage tank capacity are respectively; And The maximum value of the stored and released hydrogen power is respectively; hydrogen fuel cell model: ; ; Wherein, the Is that Hydrogen energy power consumed by HFC at moment; And Is that The efficiency of converting HFC into electricity and heat energy at the moment; And Respectively is Generating power and heat generating power of HFC at the moment; translatable load adjustment constraint: ; ; Wherein, the Is that Time producing and eliminating device Is a translatable load of (2); 、 Respectively is Time producing and eliminating device A minimum and a maximum of translatable loads; Is the one for producing and eliminating A selectable period of time for the translatable load; For the treatment of puerperal fever Total translatable load during all time periods; A time length that is a period of time; Flexible service power definition and non-negative constraint: ; ; Wherein, the Is a region The medium-yield eliminator optimizes the obtained translatable load baseline power in the day-ahead; Hydrogen energy balance constraint: ; Wherein, the For connecting to the node Is made by a polymer A hydrogen storage device is configured; And Is that Time zone The hydrogen storage power and the hydrogen release power of the middle hydrogen storage device, Is that Time zone The hydrogen release power of the middle electrolytic tank, Is that Time zone Hydrogen consumption power of the medium hydrogen fuel cell; flexible service price range constraint: ; Wherein, the And Respectively nodes Lower and upper limits of flexible prices.
5. The flexible market distributed clearing method of a power distribution network according to claim 4, wherein in step S5, the master-slave game model is specifically: The power distribution system operator is taken as a leader, the decision is made to purchase the price of the flexibility service to each node flexibility aggregator, the optimization target is to minimize the total purchase cost, each flexibility aggregator is taken as a follower, the decision is made to provide the flexibility service power and the internal electricity-hydrogen coupling resource scheduling scheme according to the price signal, and the optimization target is to maximize the self profit.
6. The distributed power distribution network flexible market clearing method according to claim 5, wherein the optimization model of the power distribution system operator as a leader is specifically: The objective function minimizes the total cost of flexible service procurement by the expression: ; Wherein, the Is that Time DSO flexible service purchase cost; is an aggregation quotient set; The constraint conditions to be met by the optimization model include: node load power constraint: ; Wherein, the Is that Time node The active load is the active power of the power distribution network for supplying power to the node photovoltaic generator-generator cluster; line load constraint of power distribution network: ; ; Node voltage safety constraint of power distribution network: ; ; Wherein, the Is the first correlation matrix in the topology structure of the power distribution network Line 1 Column elements; Is a circuit Maximum allowable load capacity; Is that Time line Is a real load of (2); Is that Time node Reactive load at the location; Is a node Is a power factor angle of (2); Is that Time node Is set to the voltage amplitude of (1); the voltage of the low-voltage side bus of the transformer substation is obtained; To take the complex real part operation; The lower limit of the node voltage amplitude is set; Inverse matrix of partial node admittance matrix Line 1 Elements of a column; Is that Time node An active load at; Is that Time node Reactive load at the location; In imaginary units.
7. The power distribution network flexible market distributed inventory method according to claim 6, wherein the master-slave gaming model is defined and solved by the following mathematical framework: master-slave gaming model Expressed as: ; Wherein, the And Respectively integrating all the flexibility aggregators and the power distribution system operators; Is that Time of day aggregator At the node A policy set at comprising I.e. the polymerizer At the position of Time of day provisioning to a node The flexible power of (1), the power consumption for hydrogen production by water electrolysis, the power generation of a fuel cell, the hydrogen storage power and the hydrogen release power; A collection of benefits for each aggregator FA, wherein Is the number of aggregators; flexible Power pricing policy set for DSO, i.e Time DSO at node Point to aggregator Price of buying flexible power; is the benefit of DSO, wherein, , Net expenditure for DSO; The equilibrium solution of the game is the Stackelberg equilibrium, the existence of which is ensured by the fact that the profit function of each participant is continuous with respect to its decision variables and the profit function of the follower is a concave function with respect to the flexible power provided by the follower; and solving the balance of the Stackelberg through a double-layer distributed optimization algorithm, wherein the double-layer distributed optimization algorithm enables a distribution system operator and each flexibility aggregator to iteratively interact with price and power information until strategies of both sides are not unilaterally changed.
8. Distribution network flexibility market distributing type system of going out clear, its characterized in that includes: The power distribution system operator module is used for acquiring a daily baseline energy consumption plan of each photovoltaic product consumer cluster, executing power distribution network tide calculation to identify blocking time periods and blocking nodes, generating and broadcasting flexibility demand tables to all flexibility aggregators, carrying out market clearing through a double-layer distributed optimization algorithm, and paying flexibility service cost to each flexibility aggregator according to the clearing result; The system comprises at least one flexibility aggregator module, a flexible service bid plan, a flexible service bid management module and a flexible service bid management module, wherein the flexibility aggregator module is used for receiving a flexibility demand list, making a flexibility service bid plan with the aim of maximizing total profit based on an internal optimization model, and adjusting an operation plan of an electric hydrogen coupling system and the load of a generator cluster according to a clearing result, and the electric hydrogen coupling system comprises a proton exchange membrane electrolytic tank, a hydrogen storage system and a hydrogen fuel cell; a photovoltaic producer cluster module for providing a day-ahead baseline energy plan to the flexibility aggregator and adjusting the translatable load in response to instructions from the flexibility aggregator module; And the communication interface is used for realizing information interaction among the distribution system operator module, each flexibility aggregator module and the photovoltaic product eliminator cluster module so as to iteratively transmit price and power information until the balance of the Stackelberg is achieved.
9. Computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, carries out the steps of the flexible market distribution method of the distribution network according to any one of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the flexible market distribution method of the distribution network according to any one of claims 1-7.

Description

Distributed clearing method, system, equipment and medium for flexible market of power distribution network Technical Field The invention relates to the technical field of operation and control of power systems, in particular to a distributed clearing method, system, equipment and medium for a flexible market of a power distribution network. Background With the large-scale access of distributed renewable energy sources such as photovoltaic, wind power and the like, an electric power system is evolving from a traditional centralized power generation mode to a distributed structure participated by mass producers and consumers. The producers and consumers have the power generation and power utilization properties, and realize the self-production and self-elimination and transaction of energy sources by configuring energy storage, participating in demand response and the like. Meanwhile, the low-carbonization transformation of the energy system promotes the user side to present the characteristic of multi-energy coupling of electricity, heat, gas and the like. To integrate these decentralized, heterogeneous resources, a flexible aggregator has developed to participate in the marketplace as an intermediary agent to promote system coordination. In a power distribution network system comprising a flexibility aggregator and a producer and a consumer, an effective market clearing strategy is designed for realizing resource integration and collaborative operation. However, current research and practice in this area still has the following prominent drawbacks: (1) The physical influence on the multi-energy coupling is insufficient, namely the influence of the multi-energy coupling such as electricity, hydrogen and the like on the actual operation characteristics of the power distribution network cannot be fully considered when the traditional method or the market mechanism makes an energy utilization scheme. This may result in schemes that fail to meet the physical operating constraints of the distribution network such as line capacity, voltage, etc., thereby inducing operational risks such as local feeder blockage, voltage out-of-limit, etc. (2) The existing research lacks a dynamic and coordinated price mechanism, and the existing research lacks a flexible service dynamic pricing mechanism capable of reflecting the blocking condition and the resource scarcity of the system in real time. Meanwhile, under the distributed market architecture formed by multi-level main bodies such as power distribution system operators, flexibility aggregators, producers and consumers, the economic benefits of the main bodies conflict with each other, and an effective coordination mechanism is lacked to realize overall optimization. (3) The existing centralized clearing mode generally requires a flexibility aggregator to upload detailed user-side data (such as load curves and adjustable capacity) to a distribution system operator when solving the problem of blocking of a distribution network. This results in a risk of leakage of the user's sensitive energy consumption information, violating the data privacy of the producer and consumer, and reducing his willingness to participate in the market. In summary, in the prior art, on the premise of ensuring the physical safety of the power distribution network, realizing multiparty economic coordination and protecting the privacy of users, flexible resources which are jointly formed by the electric-hydrogen coupling system and the distributed generator are effectively mined and utilized. Disclosure of Invention The invention aims to provide a distributed clearing method, a system, equipment and a medium for a flexible market of a power distribution network, which are used for realizing cooperative optimization and flexible resource efficient utilization of blocking problems of the power distribution system on the premise of protecting user privacy by constructing a three-layer market architecture taking electric-hydrogen coupling into consideration and based on a master-slave game model and a distributed optimization algorithm, so that the running safety, economy and participating subject privacy protection level of the system are improved. In order to achieve the above purpose, the invention provides a flexible market distributed clearing method for a power distribution network, comprising the following steps: Step S1, a three-layer market architecture comprising a distribution system operator, at least one flexibility aggregator and a photovoltaic generator cluster connected with the flexibility aggregator is established; S2, a power distribution system operator acquires a daily baseline energy consumption plan of each photovoltaic product eliminator cluster, performs power distribution network power flow calculation, and identifies a blocking period and a corresponding blocking node in which line overload or voltage out-of-limit will occur in the future; Step S3, generating and broadcasting