CN116384674A - Virtual power plant and power distribution network cooperation method and system based on blocking management - Google Patents
Virtual power plant and power distribution network cooperation method and system based on blocking management Download PDFInfo
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Abstract
The invention relates to the technical field of virtual power plants, and discloses a virtual power plant and power distribution network cooperation method and system based on blocking management, wherein the method comprises the following steps: the method comprises the following steps: predicting initial time-sharing electricity prices according to historical information data of the power distribution network; the method comprises the steps of preparing an order selling interactive power plan based on a time-sharing electricity price and an electric energy sharing mode of a producer; constructing a dispatching optimization model of the virtual power plant connected to the power distribution network; and updating the time-sharing electricity price and issuing the updated time-sharing electricity price to the virtual power plant. According to the invention, a purchase and sale interaction power plan of the virtual power plant and the power distribution network is formulated according to the time-sharing electricity price and the electric energy sharing mode of the producer and the consumer, a dispatching optimization model of the virtual power plant connected to the power distribution network is constructed, the supply and demand balance price and the blocking price are calculated according to the dispatching optimization model of the power distribution network, the time-sharing electricity price is updated by utilizing the supply and demand balance price and the blocking price, the interaction power of the virtual power plant and the power distribution network is adjusted, the electricity cost of the virtual power plant is reduced, and the economic benefit of the virtual power plant is improved.
Description
Technical Field
The invention particularly relates to the technical field of virtual power plants, in particular to a virtual power plant and power distribution network cooperation method based on blocking management.
Background
The virtual power plant (Virtual Power Plant, VPP) is a power coordination management system for realizing the aggregation and coordination optimization of DERs (distributed devices) such as DGs, energy storage systems, controllable loads, electric vehicles and the like through advanced information communication technology and software systems, so as to be used as a special power plant to participate in the power market and the power grid operation. The core of the virtual power plant concept can be summarized as "communication" and "aggregation". Key technologies of the virtual power plant mainly comprise a coordination control technology, an intelligent metering technology and an information communication technology.
The virtual power plant is an aggregation of various distributed resources, and can aggregate various adjustable resources such as distributed power sources, energy storage, flexible loads and the like through advanced control, communication and metering technologies, and the virtual power plant is used as a whole to participate in unified scheduling of a power grid, so that the coordination complementarity of the adjustment characteristics of the distributed resources is fully utilized, and reasonable optimal allocation and utilization of the resources are realized. The virtual power plant operates as a special power plant externally, presents the overall functions and effects of the traditional power plant, can control and manage the traditional power plant like the traditional power plant, and comprises the steps of submitting a power generation plan to a power grid, participating in electric power market trading, peak shaving, frequency modulation and other auxiliary services; the system is used as a comprehensive energy management system and has multiple functions of self-coordination, self-management, self-control and the like.
When the power transmission requirement of the distribution network is greater than the actual transmission requirement, the blocking phenomenon of the distribution network can occur, the normal power transaction plan of the user is influenced, and the safe and efficient operation of the distribution network is damaged. Therefore, how to perform power distribution network blocking management is important to achieve safe and economical operation of VPP. The VPP can aggregate distributed power sources at the power distribution network side and provide auxiliary services with quick response, so that the VPP mode is of practical value for researching how to eliminate the problem of blocking of the power distribution network.
Disclosure of Invention
The invention aims to provide a virtual power plant and power distribution network cooperation method based on blocking management, which aims to solve the problem of how to perform blocking management of the power distribution network in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a virtual power plant and power distribution network cooperation method based on blocking management comprises the following steps:
s10, predicting an initial time-sharing electricity price according to historical information data of the power distribution network;
s20, a purchase-sale interactive power plan is manufactured based on a time-of-use electricity price and an electric energy sharing mode of a consumer, wherein the consumer is an entity object for carrying out point-to-point electric energy sharing in a virtual power plant in a distributed management mode, and mainly comprises a residential object, an office park object and a business park object, distributed resources managed by the consumer comprise Photovoltaic (PV), wind Power (WP), electric Vehicles (EV), household energy storage, industrial power generation equipment, business electricity loads and the like, in the embodiment, the minimum total running cost is taken as a target, and the objective function of the virtual power plant is as follows:
wherein,,
scheduling cost for virtual power plant gas units, N b For the number of patients with birth defects->
Cost of power for the inter-purchase with the distribution network, < >>
In the embodiment of the invention, the uncontrollable distributed resource cost is the wind discarding and light discarding cost of wind power and photovoltaic power generation;
the power cost of the power distribution network is purchased in an interactive way
The calculation formula of (2) is as follows:
wherein,,
and->
The time-sharing purchase and sale price of the power distribution network in the period t is P t buy And P t sell And purchasing and selling power for the virtual power plant and the power distribution network in the period t, which are collectively called as interaction power with the power distribution network.
S30, constructing a dispatching optimization model of the virtual power plant accessed to the power distribution network, and calculating supply-demand balance price and blocking price based on the dispatching optimization model of the power distribution network;
and S40, updating the time-sharing electricity price and issuing the updated time-sharing electricity price to the virtual power plant, wherein the time-sharing electricity price is the sum of the supply-demand balance price and the blocking price.
As a further scheme of the invention: in step S10, the method for predicting the initial time-sharing electricity price according to the historical price information of the power distribution network includes the following steps:
s11, acquiring historical information data of the power distribution network in a target area according to a preset sampling time interval, wherein the historical information data at least comprise wind speed historical information data, illumination intensity historical information data and electricity price historical information data;
s12, preprocessing the historical information data, and clustering according to a preset sampling time interval through a preset density peak clustering algorithm to obtain a plurality of clusters corresponding to the preset sampling time interval;
s13, fitting the historical information data in each cluster according to a preset correlation function, and determining an optimal connection mode and a corresponding correlation coefficient between the correlation functions of each cluster;
s14, inputting the historical information data and the corresponding correlation coefficient into a pre-built prediction model for training, and outputting electricity price in a future period of time; judging whether the prediction precision of the trained prediction model meets a preset precision threshold, if not, re-determining an optimal connection mode and a corresponding correlation coefficient between correlation functions of each cluster, updating the prediction model according to the re-determined correlation coefficient until the preset precision threshold is met, and outputting a final prediction model;
s15, predicting the time-of-use electricity price according to the final prediction model to obtain a final time-of-use electricity price prediction result.
As still further aspects of the invention: in step S20, the method for making the purchase and sale interactive power plan based on the time-of-use electricity price and the electricity sharing mode of the producer and the consumer comprises the following steps:
s21, acquiring purchase and sale power of each producer and consumer in the virtual power plant in the t period and the power distribution network;
and S22, summing the purchase and sale power under the condition that the sum of the electric energy flowing in and the electric energy flowing out is equal among all producers and consumers in the virtual power plant, and obtaining the purchase and sale interactive power plan of the virtual power plant.
As still further aspects of the invention: in step S22, the condition that the sum of the electric energy flowing in and out is equal includes that the producer and the consumer in the virtual power plant meet the computer balance constraint and the sum of the electric energy input and output is equal constraint.
As still further aspects of the invention: in step S30, a method for calculating a supply-demand balance price and a congestion price includes the steps of:
s31, constructing a dispatching optimization model of the virtual power plant accessing the power distribution network;
s32, constructing a system power balance constraint and a power distribution network schedulable equipment operation constraint based on a scheduling optimization model of the power distribution network;
s33, calculating a supply and demand balance price and a blocking price.
As still further aspects of the invention: in step S31, the scheduling optimization model of the virtual power plant accessing to the power distribution network is:
wherein the method comprises the steps ofI represents the ith virtual power plant accessed into the power distribution network, C i,t (P i,g,t ) And (3) the unit operation cost of the ith virtual power plant accessed to the power distribution network at the time t.
As still further aspects of the invention: in step S32, the system power balance constraint is:
wherein: d, d i,fix,t Load demand for the ith virtual power plant accessing the distribution network, P i,g,t Generating power for the ith unit of the virtual power plant connected to the power distribution network, P i,vpp,t Purchase and sell interaction power lambda reported for virtual power plant t The Lagrangian multiplier is the constraint of power balance, namely the supply and demand balance price of the system.
As still further aspects of the invention: in step S33, the operation constraint of the schedulable equipment of the power distribution network is:
wherein P is Lmin And P Lmax The upper and lower limit vectors of the capacity of the line l of the virtual power plant connected to the power distribution network are respectively,
lagrangian multipliers constrained for line capacity;
the calculation method of the blocking price comprises the following steps:
wherein,,
lagrangian multiplier for line capacity constraint,/->
The power transfer distribution factor for line l and the virtual power plant access node.
As still further aspects of the invention: in step S40, the method for updating the time-of-use electricity price and issuing the updated time-of-use electricity price to the virtual power plant includes the following steps:
s41, acquiring a supply-demand balance price and a blocking price of a system, summing the supply-demand balance price and the blocking price to obtain a time-sharing electricity price, and replacing the initial time-sharing electricity price with the time-sharing electricity price to update the time-sharing electricity price;
and S42, transmitting the updated time-of-use electricity price to the virtual power plant, and repeating the steps S20-S40 by the virtual power plant based on the updated time-of-use electricity price so as to adjust the interaction power with the power distribution network.
A virtual power plant and distribution network collaborative system based on blocking management, comprising at least one virtual power plant and collaborative management platform accessing the distribution network, wherein:
the virtual power plant is used for predicting initial time-sharing electricity prices according to the historical information data of the power distribution network; the system is also used for preparing an order sale interactive power plan based on the time-of-use electricity price and the electric energy sharing mode of the producer;
the collaborative management platform is used for constructing a dispatching optimization model of the virtual power plant accessed to the power distribution network, and calculating supply-demand balance prices and blocking prices based on the dispatching optimization model of the power distribution network; and the system is also used for updating the time-of-use electricity price and issuing the time-of-use electricity price to the virtual power plant.
Compared with the prior art, the invention has the beneficial effects that: according to the invention, a purchase and sale interaction power plan of the virtual power plant and the power distribution network is formulated according to the time-sharing electricity price and the electric energy sharing mode of the producer and the consumer, a dispatching optimization model of the virtual power plant connected to the power distribution network is constructed, the supply and demand balance price and the blocking price are calculated according to the dispatching optimization model of the power distribution network, the time-sharing electricity price is updated by utilizing the supply and demand balance price and the blocking price, the interaction power of the virtual power plant and the power distribution network is adjusted, the electricity cost of the virtual power plant is reduced, and the economic benefit of the virtual power plant is improved.
Drawings
FIG. 1 is a flow chart of a virtual power plant and distribution network collaboration method based on blocking management.
FIG. 2 is a flow chart of step S10 in a virtual power plant and distribution network collaboration method based on blocking management.
Fig. 3 is a flowchart of step S30 in a virtual power plant and distribution network cooperation method based on blocking management.
FIG. 4 is a flowchart of step S40 in a virtual power plant and distribution network collaboration method based on blocking management.
Fig. 5 is a block diagram of a virtual power plant and distribution network collaboration system based on blocking management.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
It is noted that various aspects of the embodiments are described below within the scope of the following claims. It should be apparent that the aspects described herein may be embodied in a wide variety of forms and that any specific structure and/or function described herein is merely illustrative. Based on the present disclosure, one skilled in the art will appreciate that one aspect described herein may be implemented independently of any other aspect, and that two or more of these aspects may be combined in various ways. For example, an apparatus may be implemented and/or a method practiced using any number of the aspects set forth herein. In addition, such apparatus may be implemented and/or such methods practiced using other structure and/or functionality in addition to one or more of the aspects set forth herein.
It should be understood that although the terms first, second, etc. may be used in embodiments of the present invention to describe various information, these information should not be limited by these terms. These terms are only used to distinguish one type of information from another.
The virtual power plant is an aggregation of various distributed resources, and can aggregate various adjustable resources such as distributed power sources, energy storage, flexible loads and the like through advanced control, communication and metering technologies, and the virtual power plant is used as a whole to participate in unified scheduling of a power grid, so that the coordination complementarity of the adjustment characteristics of the distributed resources is fully utilized, and reasonable optimal allocation and utilization of the resources are realized. The virtual power plant operates as a special power plant externally, presents the overall functions and effects of the traditional power plant, can control and manage the traditional power plant like the traditional power plant, and comprises the steps of submitting a power generation plan to a power grid, participating in electric power market trading, peak shaving, frequency modulation and other auxiliary services; the system is used as a comprehensive energy management system and has multiple functions of self-coordination, self-management, self-control and the like.
When the power transmission requirement of the distribution network is greater than the actual transmission requirement, the blocking phenomenon of the distribution network can occur, the normal power transaction plan of the user is influenced, and the safe and efficient operation of the distribution network is damaged. Therefore, how to perform power distribution network blocking management is important to achieve safe and economical operation of VPP. The VPP can aggregate distributed power sources at the power distribution network side and provide auxiliary services with quick response, so that the VPP mode is of practical value for researching how to eliminate the problem of blocking of the power distribution network.
Based on this, referring to fig. 1 to 4, in an embodiment of the present invention, a virtual power plant and power distribution network cooperation method based on blocking management includes the following steps:
s10, predicting an initial time-sharing electricity price according to historical information data of the power distribution network;
s20, preparing an order sale interactive power plan based on a time-sharing electricity price and an electric energy sharing mode of a producer;
s30, constructing a dispatching optimization model of the virtual power plant accessed to the power distribution network, and calculating supply-demand balance price and blocking price based on the dispatching optimization model of the power distribution network;
and S40, updating the time-sharing electricity price and issuing the updated time-sharing electricity price to the virtual power plant, wherein the time-sharing electricity price is the sum of the supply-demand balance price and the blocking price.
In step S10 of the embodiment of the present invention, a method for predicting an initial time-of-use electricity price according to historical price information of a power distribution network includes the following steps:
s11, acquiring historical information data of the power distribution network in a target area according to a preset sampling time interval, wherein the historical information data at least comprise wind speed historical information data, illumination intensity historical information data and electricity price historical information data;
s12, preprocessing the historical information data, and clustering according to a preset sampling time interval through a preset density peak clustering algorithm to obtain a plurality of clusters corresponding to the preset sampling time interval;
s13, fitting the historical information data in each cluster according to a preset correlation function, and determining an optimal connection mode and a corresponding correlation coefficient between the correlation functions of each cluster;
s14, inputting the historical information data and the corresponding correlation coefficient into a pre-built prediction model for training, and outputting electricity price in a future period of time; judging whether the prediction precision of the trained prediction model meets a preset precision threshold, if not, re-determining an optimal connection mode and a corresponding correlation coefficient between correlation functions of each cluster, updating the prediction model according to the re-determined correlation coefficient until the preset precision threshold is met, and outputting a final prediction model;
s15, predicting the time-of-use electricity price according to the final prediction model to obtain a final time-of-use electricity price prediction result.
In the embodiment of the present invention, the producers and consumers are entity objects for peer-to-peer electric energy sharing in a distributed management manner in a virtual power plant, and mainly include a residential object, an office park object and a business park object, and distributed resources managed by each producer and consumer include Photovoltaic (PV), wind Power (WP), electric Vehicles (EV), household energy storage, industrial power generation equipment, and business electricity loads, where in the embodiment, with minimum total running cost as a target, an objective function of the virtual power plant is as follows:
wherein,,
scheduling cost for virtual power plant gas units, N b For the number of patients with birth defects->
Cost of power for the inter-purchase with the distribution network, < >>
In the embodiment of the invention, the uncontrollable distributed resource cost is the wind discarding and light discarding cost of wind power and photovoltaic power generation;
the power cost of the power distribution network is purchased in an interactive way
The calculation formula of (2) is as follows:
wherein,,
and->
Time-sharing purchase and selling electricity price of power distribution network in t period>
And->
And purchasing and selling power for the virtual power plant and the power distribution network in the period t, which are collectively called as interaction power with the power distribution network.
Further, in step S20 of the embodiment of the present invention, the method for making the purchase-sale interactive power plan based on the time-of-use electricity price and the electric energy sharing mode of the producer and the consumer includes the following steps:
s21, acquiring purchase and sale power of each producer and consumer in the virtual power plant in the t period and the power distribution network;
s22, summing the purchase and sale power under the condition that the sum of the electric energy flowing in and the electric energy flowing out is equal among all producers in the virtual power plant, so as to obtain a purchase and sale interactive power plan of the virtual power plant;
still further, in step S22 of the present embodiment, the condition that the sum of the electric energy flowing in and out is equal includes that the producer in the virtual power plant satisfies the computer balance constraint and that the sum of the electric energy input and output is equal constraint.
In step S30 of the embodiment of the present invention, the method for calculating the equilibrium price and the blocking price of supply and demand includes the steps of:
s31, constructing a dispatching optimization model of the virtual power plant accessing the power distribution network;
s32, constructing a system power balance constraint and a power distribution network schedulable equipment operation constraint based on a scheduling optimization model of the power distribution network;
s33, calculating a supply and demand balance price and a blocking price.
Further, in step S31 in the embodiment of the present invention, the scheduling optimization model for accessing the virtual power plant into the power distribution network is:
wherein i represents an ith virtual power plant accessed into the power distribution network, C i,t (P i,g,t ) The unit operation cost of the ith virtual power plant accessed to the power distribution network at the time t is set;
also, in step S32 of the embodiment of the present invention, the system power balance constraint is:
wherein: d, d i,fix,t Load demand for the ith virtual power plant accessing the distribution network, P i,g,t Generating power for the ith unit of the virtual power plant connected to the power distribution network, P i,vpp,t Purchase and sell interaction power lambda reported for virtual power plant t Lagrange multiplier for power balance constraint, namely the supply and demand balance price of the system;
the operation constraint of the power distribution network schedulable equipment is as follows:
wherein P is Lmin And P Lmax The upper and lower limit vectors of the capacity of the line l of the virtual power plant connected to the power distribution network are respectively,
lagrangian multipliers constrained for line capacity;
still further, in step S33, the method for calculating the blocking price includes:
wherein,,
lagrangian multiplier for line capacity constraint,/->
A power transmission distribution factor for the line/and the virtual power plant access node;
it should be noted that, when the power flow of the line is not limited,
all are 0, and at this time, the blocking price is also 0;
in step S40 of the embodiment of the present invention, a method for updating a time-of-use electricity price and issuing the updated time-of-use electricity price to a virtual power plant includes the following steps:
s41, acquiring a supply-demand balance price and a blocking price of a system, summing the supply-demand balance price and the blocking price to obtain a time-sharing electricity price, and replacing the initial time-sharing electricity price with the time-sharing electricity price to update the time-sharing electricity price;
and S42, transmitting the updated time-of-use electricity price to the virtual power plant, and repeating the steps S20-S40 by the virtual power plant based on the updated time-of-use electricity price so as to adjust the interaction power with the power distribution network.
Referring to fig. 5, the present invention further discloses a virtual power plant and power distribution network collaborative system based on blocking management, which includes at least one virtual power plant 100 accessing a power distribution network 300 and a collaborative management platform 200, wherein:
a virtual power plant 100 for predicting an initial time-of-use electricity price according to the power distribution network history information data; the system is also used for preparing an order sale interactive power plan based on the time-of-use electricity price and the electric energy sharing mode of the producer;
the collaborative management platform 200 is used for constructing a dispatching optimization model of the virtual power plant accessed to the power distribution network, and calculating supply-demand balance prices and blocking prices based on the dispatching optimization model of the power distribution network; and the system is also used for updating the time-of-use electricity price and issuing the time-of-use electricity price to the virtual power plant.
Further, some embodiments may include a storage medium having a program for executing the method described in the present specification on a computer, on which at least one instruction, at least one program, a code set, or an instruction set is stored, which when loaded and executed by a processor, implements the steps of the above-described method embodiments, examples of the computer-readable recording medium include hardware devices specifically configured for storing and executing program commands, magnetic media such as hard disks, floppy disks, and magnetic tape, optical recording media such as CD-ROMs, DVDs, magneto-optical media such as floppy disks, and ROMs, RAMs, flash memories, and the like. Examples of program commands may include machine language code written by a compiler, high-level language generations executed by a computer using an interpreter or the like.
Those of ordinary skill in the art will appreciate that implementing all or a portion of the processes of the above-described embodiments may be accomplished by at least one instruction, at least one program, code set, or instruction set that may be executed by associated hardware, the at least one instruction, at least one program, code set, or instruction set may be stored in a non-transitory computer-readable storage medium, the at least one instruction, at least one program, code set, or instruction set, when executed, may comprise processes of embodiments of the above-described methods. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory.
In summary, the invention establishes the purchase and sale interaction power plan of the virtual power plant and the power distribution network according to the time-of-use electricity price and the electric energy sharing mode of the producer and the consumer, constructs the dispatching optimization model of the virtual power plant connected to the power distribution network, calculates the supply and demand balance price and the blocking price according to the dispatching optimization model of the power distribution network, updates the time-of-use electricity price by utilizing the supply and demand balance price and the blocking price, adjusts the interaction power of the virtual power plant and the power distribution network, reduces the electricity cost of the virtual power plant, and improves the economic benefit of the virtual power plant.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present disclosure describes embodiments, not every embodiment is provided with a separate embodiment, and that this description is provided for clarity only, and that the disclosure is not limited to the embodiments described in detail below, and that the embodiments described in the examples may be combined as appropriate to form other embodiments that will be apparent to those skilled in the art.
Claims (10)
1. A virtual power plant and power distribution network cooperation method based on blocking management is characterized by comprising the following steps:
s10, predicting an initial time-sharing electricity price according to historical information data of the power distribution network;
s20, preparing an order sale interactive power plan based on a time-sharing electricity price and an electric energy sharing mode of a producer;
s30, constructing a dispatching optimization model of the virtual power plant accessed to the power distribution network, and calculating supply-demand balance price and blocking price based on the dispatching optimization model of the power distribution network;
and S40, updating the time-sharing electricity price and issuing the updated time-sharing electricity price to the virtual power plant, wherein the time-sharing electricity price is the sum of the supply-demand balance price and the blocking price.
2. The method for cooperation of a virtual power plant and a power distribution network based on congestion management according to claim 1, wherein in step S10, the method for predicting an initial time-of-use electricity price according to historical price information of the power distribution network comprises the following steps:
s11, acquiring historical information data of the power distribution network in a target area according to a preset sampling time interval, wherein the historical information data at least comprise wind speed historical information data, illumination intensity historical information data and electricity price historical information data;
s12, preprocessing the historical information data, and clustering according to a preset sampling time interval through a preset density peak clustering algorithm to obtain a plurality of clusters corresponding to the preset sampling time interval;
s13, fitting the historical information data in each cluster according to a preset correlation function, and determining an optimal connection mode and a corresponding correlation coefficient between the correlation functions of each cluster;
s14, inputting the historical information data and the corresponding correlation coefficient into a pre-built prediction model for training, and outputting electricity price in a future period of time; judging whether the prediction precision of the trained prediction model meets a preset precision threshold, if not, re-determining an optimal connection mode and a corresponding correlation coefficient between correlation functions of each cluster, updating the prediction model according to the re-determined correlation coefficient until the preset precision threshold is met, and outputting a final prediction model;
s15, predicting the time-of-use electricity price according to the final prediction model to obtain a final time-of-use electricity price prediction result.
3. The method for cooperation of a virtual power plant and a power distribution network based on congestion management according to claim 1, wherein in step S20, the method for making an order-selling interactive power plan based on a time-of-use electricity price and an electricity sharing mode of producers and consumers comprises the steps of:
s21, acquiring purchase and sale power of each producer and consumer in the virtual power plant in the t period and the power distribution network;
and S22, summing the purchase and sale power under the condition that the sum of the electric energy flowing in and the electric energy flowing out is equal among all producers and consumers in the virtual power plant, and obtaining the purchase and sale interactive power plan of the virtual power plant.
4. A virtual power plant and distribution network coordination method based on congestion management according to claim 3, wherein in step S22, the condition that the sum of the electric energy flowing in and out is equal includes that the producers in the virtual power plant satisfy the computer balance constraint and that the sum of the electric energy input and output is equal constraint.
5. The method for cooperation of a virtual power plant and a power distribution network based on congestion management according to claim 1, wherein the method for calculating the supply-demand balance price and the congestion price in step S30 comprises the steps of:
s31, constructing a dispatching optimization model of the virtual power plant accessing the power distribution network;
s32, constructing a system power balance constraint and a power distribution network schedulable equipment operation constraint based on a scheduling optimization model of the power distribution network;
s33, calculating a supply and demand balance price and a blocking price.
6. The method for cooperation between a virtual power plant and a power distribution network based on blocking management according to claim 5, wherein in step S31, a scheduling optimization model for accessing the virtual power plant into the power distribution network is:
wherein i represents an ith virtual power plant accessed into the power distribution network, C i,t (P i,g,t ) And (3) the unit operation cost of the ith virtual power plant accessed to the power distribution network at the time t.
7. The method according to claim 6, wherein in step S32, the system power balance constraint is:
wherein: d, d i,fix,t Load demand for the ith virtual power plant accessing the distribution network, P i,g,t Generating power for the ith unit of the virtual power plant connected to the power distribution network, P i,vpp,t Purchase and sell interaction power lambda reported for virtual power plant t The Lagrangian multiplier is the constraint of power balance, namely the supply and demand balance price of the system.
8. The method according to claim 7, wherein in step S33, the operation constraint of the power distribution network schedulable equipment is:
wherein P is Lmin And P Lmax The upper and lower limit vectors of the capacity of the line l of the virtual power plant connected to the power distribution network are respectively,
lagrangian multipliers constrained for line capacity;
the calculation method of the blocking price comprises the following steps:
wherein,,
lagrangian multiplier for line capacity constraint,/->
The power transfer distribution factor for line l and the virtual power plant access node.
9. The method for cooperation between a virtual power plant and a power distribution network based on blocking management according to claim 1, wherein in step S40, the method for updating the time-of-use electricity price and issuing to the virtual power plant comprises the steps of:
s41, acquiring a supply-demand balance price and a blocking price of a system, summing the supply-demand balance price and the blocking price to obtain a time-sharing electricity price, and replacing the initial time-sharing electricity price with the time-sharing electricity price to update the time-sharing electricity price;
and S42, transmitting the updated time-of-use electricity price to the virtual power plant, and repeating the steps S20-S40 by the virtual power plant based on the updated time-of-use electricity price so as to adjust the interaction power with the power distribution network.
10. The utility model provides a virtual power plant and distribution network cooperation system based on blocking management which characterized in that includes at least one virtual power plant and cooperation management platform of access distribution network, wherein:
the virtual power plant is used for predicting initial time-sharing electricity prices according to the historical information data of the power distribution network; the system is also used for preparing an order sale interactive power plan based on the time-of-use electricity price and the electric energy sharing mode of the producer;
the collaborative management platform is used for constructing a dispatching optimization model of the virtual power plant accessed to the power distribution network, and calculating supply-demand balance prices and blocking prices based on the dispatching optimization model of the power distribution network; and the system is also used for updating the time-of-use electricity price and issuing the time-of-use electricity price to the virtual power plant.
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