CN110245839B - Active power distribution network electric market double-layer transaction method based on energy sharing - Google Patents

Active power distribution network electric market double-layer transaction method based on energy sharing Download PDF

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CN110245839B
CN110245839B CN201910426305.1A CN201910426305A CN110245839B CN 110245839 B CN110245839 B CN 110245839B CN 201910426305 A CN201910426305 A CN 201910426305A CN 110245839 B CN110245839 B CN 110245839B
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CN110245839A (en
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艾芊
姜子卿
刘华祥
于关勤
王建芳
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Shanghai Guofu Electric Design Engineering Co ltd
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    • G06—COMPUTING; CALCULATING OR COUNTING
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    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315—Needs-based resource requirements planning or analysis
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    • G06—COMPUTING; CALCULATING OR COUNTING
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    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

The invention discloses an active power distribution network electric power market double-layer transaction method based on energy sharing; the method comprises the following steps: the market participation main body carries out spontaneous bilateral transaction according to own requirements; not participating, reporting the electricity consumption and the electricity generation to a distribution network operator; the distribution network operators solve an optimization model with the optimization of distribution network area resource allocation as a target, and distribute the optimization model in the corresponding distribution network area; for each area where the total power generation amount is not matched with the power consumption requirement, the distribution network operators participate in wholesale side markets to purchase and sell power and provide auxiliary services according to the principle of benefit maximization; the operators in the wholesale side market settle all the received bids and offers together; the distribution network operators redistribute the obtained central standards in the distribution network range according to the principle of optimal allocation of resources, and distribute the central standards from wholesale side markets according to contribution. The invention avoids the waste of resources such as wind and light abandoning, and the like, and the users in the distribution network area can benefit from the waste, thereby improving the energy utilization efficiency.

Description

Active power distribution network electric market double-layer transaction method based on energy sharing
Technical Field
The invention relates to the technical field of power supply of distribution networks, in particular to a double-layer transaction method for an active distribution network power market based on energy sharing.
Background
In the existing power system, market activities are mainly concentrated on wholesale sides, namely, unified power markets are established at the main network level, and special operators are responsible for operation so as to realize real-time balance of electric quantity and stable operation of the system. The distribution network singly purchases power from wholesale markets to meet the load demands of users. All current electric power centralized transactions are completed in wholesale markets, the data volume is large, the efficiency is low, the calculation time is long, and the calculation time is increased sharply along with the increase of node numbers and market members.
With the advent of novel distributed resources such as distributed renewable energy sources, flexible loads and electric vehicles, market activity within the scope of active distribution networks will greatly increase. The distributed resources such as flexible load or electric automobile have stronger flexibility, can provide more regulation and control means for the market, optimize the resource allocation of the system; and users or micro-networks with the power generation capacity of distributed new energy have the requirement of surfing the internet and selling electricity on the premise of meeting the self-use requirement of the users or micro-networks. These resources will become important participants in the power market.
With the development of future distributed resources, the number of producers and consumers (prosumers) will greatly increase, and the volume of a single participating main body is smaller, so that the complexity of power market dispatching and settlement will be greatly increased if all the participants directly participate in the market, and the market clearing efficiency is reduced.
This results in all current power intensive transactions being completed in wholesale markets, large data volumes, low efficiency, long calculation time and dramatic increases as the number of nodes and market members increases.
The model of centralized transaction can not adapt to the model of large-scale access of distributed resources such as new energy, electric vehicles, demand response and the like in the future, and the model can prevent novel market bodies such as load aggregators, virtual energy stations, virtual power plants and the like from participating in the market. There is no market architecture and model for large-scale new energy or distributed resource access.
Therefore, an improvement on the existing active distribution network power supply technology based on energy sharing is needed, and the defects of the prior art are overcome.
Disclosure of Invention
In view of the above-mentioned drawbacks of the prior art, the present invention provides an active power distribution network power market double-layer transaction method based on energy sharing, and one of the purposes of the present invention is to adopt a centralized and decentralized active power distribution network power market double-layer transaction architecture, and through the transaction mode of energy sharing in the distribution network area, resource waste such as wind and light abandoning is avoided, users in the distribution network area can benefit from the energy, social total benefit is increased, and energy utilization efficiency is improved.
In order to achieve the purpose, the invention discloses an active power distribution network electric power market double-layer transaction method based on energy sharing; the method comprises the following steps:
a. each market participation main body carries out spontaneous bilateral transaction according to the electricity consumption and the electricity generation required by the market participation main body; b. reporting the power consumption and the power generation of the unhandled to a distribution network operator by all market participation subjects which do not participate in the bilateral transaction within a specified time;
c. the distribution network operators solve an optimization model aiming at all the market participation main bodies by taking distribution network area resource allocation optimization as a target, and distribute the electricity consumption and the electricity generation reported by each market participation main body in the corresponding distribution network area, wherein the optimization model has the following formula:
Figure GDA0004237088770000021
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure GDA0004237088770000022
the electricity purchasing/selling price is set for the power distribution network operators;
omega subsidy prices set to encourage users to participate in demand responses;
Figure GDA0004237088770000023
the load amount reduced by the demand response at time t for the load aggregator x;
Figure GDA0004237088770000024
the load value of the load aggregator x at the time t;
Figure GDA0004237088770000025
the charging load value of the electric automobile agent u at the time t is given;
Figure GDA0004237088770000026
the positive value is net power generation, and the negative value is net load;
Figure GDA0004237088770000027
the utility model provides a unified clear electricity price for the electric power market;
Figure GDA0004237088770000028
the amount of electricity purchased from the electricity market at time t for the active distribution network operator;
constraint conditions of the optimization model are as follows:
Figure GDA0004237088770000031
Figure GDA0004237088770000032
Figure GDA0004237088770000033
Figure GDA0004237088770000034
V i min ≤V i,t ≤V i max
Figure GDA0004237088770000035
wherein P is ij,t And Q ij,t Active power and reactive power on the t-period branch ij respectively;
k (j, k) represents a set of end nodes with node j as the head node;
r ij and x ij The resistance and reactance of branch ij;
I ij,t the line current amplitude for branch ij;
ΔP j，t and DeltaQ j,t The net injection values of active power and reactive power at node j are respectively;
Figure GDA0004237088770000036
and->
Figure GDA0004237088770000037
The active power and the reactive power of the load are respectively output by the node j in the t period;
Figure GDA0004237088770000038
and->
Figure GDA0004237088770000039
The active power and the reactive power sent by the DG at node j in the t period are respectively;
d. for each area where the total power generation amount is not matched with the power consumption requirement, the distribution network operators participate in wholesale side markets to purchase and sell power and provide auxiliary services on the basis of benefit maximization;
e. the operators in the wholesale side market settle the bidding and quotation from each distribution network operator together with the quotations of independent power generators and power selling companies, and inform the distribution network operators of settlement results, wherein the settlement formula is as follows:
Figure GDA00042370887700000310
wherein N is the number of power generators and power distribution network operators;
m is the number of power selling companies and power buying type distribution network operators;
Figure GDA00042370887700000311
and->
Figure GDA00042370887700000312
The electricity selling quantity and price reported by the nth electricity generator and the electricity selling type distribution network operator at the time t are represented;
Figure GDA00042370887700000313
and->
Figure GDA00042370887700000314
Representing spare capacity and price reported by a generator;
Figure GDA00042370887700000315
and->
Figure GDA00042370887700000316
The electricity purchasing quantity and price reported by the mth electricity selling company and the electricity purchasing type distribution network operator at the time t are represented;
Figure GDA00042370887700000317
and->
Figure GDA00042370887700000318
The spare capacity and the price reported by an electricity selling company are represented;
f. and the distribution network operators redistribute the power generation or the power consumption obtained by the central standards in the distribution network range according to the principle of optimal allocation of resources, and reasonably allocate the profit obtained from the wholesale side market according to the contributions of the main bodies of each market of the distribution network.
The invention has the beneficial effects that:
1. the invention converts the original centralized problem into a centralized and decentralized problem, can improve the transaction settlement efficiency and lighten the burden of a market settlement center.
2. By means of energy sharing, the invention avoids resource waste such as wind and light abandoning, and users in the distribution network area can benefit from the energy sharing, thereby increasing the total welfare of society and improving the energy utilization efficiency.
3. The application of the invention accords with the future decentralized trading trend of large-scale distributed resource participation market, effectively attracts the distributed resource provider to participate in market trading, and increases the flexibility of market operation.
The conception, specific structure, and technical effects of the present invention will be further described with reference to the accompanying drawings to fully understand the objects, features, and effects of the present invention.
Drawings
Fig. 1 shows a block diagram of an embodiment of the present invention.
Detailed Description
Examples
As shown in fig. 1, an active distribution network electric market double-layer transaction method; the method comprises the following steps:
a. each market participation main body carries out spontaneous bilateral transaction according to the electricity consumption and the electricity generation required by the market participation main body; b. reporting the power consumption and the power generation of the unhandled to a distribution network operator by all market participation subjects which do not participate in the bilateral transaction within a specified time;
c. the distribution network operators solve an optimization model aiming at each market participation main body by taking distribution network area resource allocation optimization as a target, and distribute the electricity consumption and the electricity generation reported by each market participation main body in a corresponding distribution network area, wherein the optimization model has the following formula:
Figure GDA0004237088770000041
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure GDA0004237088770000042
the electricity purchasing/selling price is set for the power distribution network operators;
omega subsidy prices set to encourage users to participate in demand responses;
Figure GDA0004237088770000043
the load amount reduced by the demand response at time t for the load aggregator x;
Figure GDA0004237088770000051
the load value of the load aggregator x at the time t;
Figure GDA0004237088770000052
the charging load value of the electric automobile agent u at the time t is given;
Figure GDA0004237088770000053
the positive value is net power generation, and the negative value is net load;
Figure GDA0004237088770000054
the utility model provides a unified clear electricity price for the electric power market;
P t W the amount of electricity purchased from the electricity market at time t for the active distribution network operator;
constraint conditions of the optimization model are as follows:
Figure GDA0004237088770000055
Figure GDA0004237088770000056
Figure GDA0004237088770000057
Figure GDA0004237088770000058
V i min ≤V i,t ≤V i max
Figure GDA0004237088770000059
wherein P is ij,t And Q ij,t Active power and reactive power on the t-period branch ij respectively;
k (j, k) represents a set of end nodes with node j as the head node;
r ij and x ij The resistance and reactance of branch ij;
I ij,t the line current amplitude for branch ij;
ΔP j，t and DeltaQ j,t The net injection values of active power and reactive power at node j are respectively;
Figure GDA00042370887700000510
and->
Figure GDA00042370887700000511
The active power and the reactive power of the load are respectively output by the node j in the t period;
Figure GDA00042370887700000512
and->
Figure GDA00042370887700000513
The active power and the reactive power sent by the DG at node j in the t period are respectively;
d. for each area where the total power generation amount is not matched with the power consumption requirement, the distribution network operators participate in wholesale side markets to purchase and sell power and provide auxiliary services on the basis of benefit maximization;
e. the operators in the wholesale side market settle the bidding and quotation from each distribution network operator together with the quotations of independent power generators and power selling companies, and inform the distribution network operators of settlement results, wherein the settlement formula is as follows:
Figure GDA00042370887700000514
wherein N is the number of power generators and power distribution network operators;
m is the number of power selling companies and power buying type distribution network operators;
Figure GDA00042370887700000515
and->
Figure GDA00042370887700000516
The electricity selling quantity and price reported by the nth electricity generator and the electricity selling type distribution network operator at the time t are represented;
Figure GDA0004237088770000061
and->
Figure GDA0004237088770000062
Representing spare capacity and price reported by a generator;
Figure GDA0004237088770000063
and->
Figure GDA0004237088770000064
The electricity purchasing quantity and price reported by the mth electricity selling company and the electricity purchasing type distribution network operator at the time t are represented;
Figure GDA0004237088770000065
and->
Figure GDA0004237088770000066
The spare capacity and the price reported by an electricity selling company are represented;
f. and the distribution network operators redistribute the power generation or the power consumption obtained by the central standards in the distribution network range according to the principle of optimal allocation of resources, and reasonably allocate the profit obtained from the wholesale side market according to the contributions of the main bodies of each market of the distribution network.
The principle of the invention is as follows: the existing unified wholesale side market structure is improved into a two-stage market structure of wholesale side-distribution network side, and a distribution network operator (Distribution Network Operator, DNO) module is additionally arranged.
The power distribution network operator module is an actual operator of an active power distribution network in a certain area and is responsible for operation, scheduling and energy distribution of the area network. And the distribution network operators proxy various markets in the distribution network area to participate in the market trading activities of the main body and are in butt joint with the market modules of the wholesale side of the upper large power grid. Active distribution network operators do not themselves possess an available distributed power source that provides the end power users with the power required for service, either by purchasing from wholesale markets or from local distributed power generators, or by selling excess power.
In the wholesale-side market, the distribution network operators participate in the market bidding of the wholesale-side market as the only market body of the regional distribution network, including the energy market and the auxiliary service market. After the electric power market is cleared, the distribution network operators redistribute the generated electricity or the electricity consumption obtained by the central standards in the distribution network range according to the principle of optimal allocation of resources, and the profits obtained from the wholesale side market are reasonably allocated according to the contributions of all market subjects of the distribution network, namely all market subjects share profits.
And implementing a transaction mode of distributed bilateral transaction and energy sharing in a distribution network side market. Each market participation main body can select to carry out spontaneous bilateral transaction or sharing transaction within the distribution network range according to the self-power generation plan and the power consumption requirement. And integrating various resources (including energy storage, photovoltaics, electric vehicles, demand response and the like) in the power distribution network according to the power generation cost and the power utilization benefit of each market participation main body by the power distribution network operator, so as to realize optimal allocation of the resources in the area. And for the electricity purchasing or selling requirements which cannot be met in the area, the distribution network operators participate in the trade in the wholesale side market as unified market bodies in the area.
The optimization decision model of the power distribution network operator is a power distribution network operator optimization scheduling model taking the cost of electricity purchased by the operator as an optimization target, and bidding strategies of the operators participating in the power market are determined by considering active power distribution network operation safety constraint and tide constraint as well as quotations, output and loads of all participating subjects. After the operators obtain competitive bidding electric quantity in the electric power market, price signals are transmitted to each lower-layer participation main body, and the lower-layer main body optimally adjusts own power generation or power consumption plan according to the price signals.
The foregoing describes in detail preferred embodiments of the present invention. It should be understood that numerous modifications and variations can be made in accordance with the concepts of the invention by one of ordinary skill in the art without undue burden. Therefore, all technical solutions which can be obtained by logic analysis, reasoning or limited experiments based on the prior art by the person skilled in the art according to the inventive concept shall be within the scope of protection defined by the claims.

Claims (1)

1. An active power distribution network electric market double-layer transaction method based on energy sharing; the method comprises the following steps:
a. each market participation main body carries out spontaneous bilateral transaction according to the electricity consumption and the electricity generation required by the market participation main body;
b. reporting the power consumption and the power generation of the unhandled to a distribution network operator by all market participation subjects which do not participate in the bilateral transaction within a specified time;
c. the distribution network operators solve an optimization model aiming at each market participation main body by taking distribution network area resource allocation optimization as a target, and distribute the electricity consumption and the electricity generation reported by each market participation main body in a corresponding distribution network area, wherein the optimization model has the following formula:
Figure FDA0004237088760000011
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure FDA0004237088760000012
the electricity purchasing/selling price is set for the power distribution network operators;
omega subsidy prices set to encourage users to participate in demand responses;
Figure FDA0004237088760000013
the load amount reduced by the demand response at time t for the load aggregator x;
Figure FDA0004237088760000014
the load value of the load aggregator x at the time t;
Figure FDA0004237088760000015
the charging load value of the electric automobile agent u at the time t is given;
Figure FDA0004237088760000016
the positive value is net power generation, and the negative value is net load;
Figure FDA0004237088760000017
the utility model provides a unified clear electricity price for the electric power market;
P t W the amount of electricity purchased from the electricity market at time t for the active distribution network operator;
constraint conditions of the optimization model are as follows:
Figure FDA0004237088760000018
Figure FDA0004237088760000019
Figure FDA00042370887600000110
Figure FDA00042370887600000111
V i min ≤V i,t ≤V i max
Figure FDA00042370887600000112
wherein P is ij,t And Q ij,t Active power and reactive power on the t-period branch ij respectively;
k (j, k) represents a set of end nodes with node j as the head node;
r ij and x ij The resistance and reactance of branch ij;
I ij,t the line current amplitude for branch ij;
Figure FDA00042370887600000113
and->
Figure FDA00042370887600000114
The active power and the reactive power of the load are respectively output by the node j in the t period;
Figure FDA0004237088760000021
and->
Figure FDA0004237088760000022
The active power and the reactive power sent by the DG at node j in the t period are respectively;
d. for each area where the total power generation amount is not matched with the power consumption requirement, the distribution network operators participate in wholesale side markets to purchase and sell power and provide auxiliary services on the basis of benefit maximization;
e. the operators in the wholesale side market settle the bidding and quotation from each distribution network operator together with the quotations of independent power generators and power selling companies, and inform the distribution network operators of settlement results, wherein the settlement formula is as follows:
Figure FDA0004237088760000023
wherein N is the number of power generators and power distribution network operators;
m is the number of power selling companies and power buying type distribution network operators;
Figure FDA0004237088760000024
and->
Figure FDA0004237088760000025
The electricity selling quantity and price reported by the nth electricity generator and the electricity selling type distribution network operator at the time t are represented;
Figure FDA0004237088760000026
and->
Figure FDA0004237088760000027
Representing spare capacity and price reported by a generator;
Figure FDA0004237088760000028
and->
Figure FDA0004237088760000029
The electricity purchasing quantity and price reported by the mth electricity selling company and the electricity purchasing type distribution network operator at the time t are represented;
Figure FDA00042370887600000210
and->
Figure FDA00042370887600000211
The spare capacity and the price reported by an electricity selling company are represented;
f. and the distribution network operators redistribute the power generation or the power consumption obtained by the central standards in the distribution network range according to the principle of optimal allocation of resources, and reasonably allocate the profit obtained from the wholesale side market according to the contributions of the main bodies of each market of the distribution network.
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CN111563617B (en) * 2020-04-22 2023-09-19 国网上海市电力公司 Market clearing optimization method and system for long-term standby transaction in virtual power plant
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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2015126000A1 (en) * 2014-02-19 2015-08-27 벽산파워 주식회사 Demand response service system of sewage and waste water treatment plant
CN107092985A (en) * 2017-04-13 2017-08-25 大连理工大学 A kind of active distribution network congestion Dispatching Method towards the flexible charge and discharge electroresponse of electric automobile group
CN107658867A (en) * 2017-10-16 2018-02-02 华北电力大学 The alternating current-direct current mixing power distribution network dynamic reconfiguration method that multiagent participates in
CN108446796A (en) * 2018-03-01 2018-08-24 国网福建省电力有限公司 Consider net-source-lotus coordinated planning method of electric automobile load demand response
CN109474022A (en) * 2019-01-22 2019-03-15 合肥工业大学 The power distribution network optimization regulating method of the interaction of consideration source lotus and distributed generation resource power output randomness
CN109636552A (en) * 2019-01-17 2019-04-16 华北电力大学（保定） The double-deck bid price competing method of Load aggregation quotient participation electricity market

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2015126000A1 (en) * 2014-02-19 2015-08-27 벽산파워 주식회사 Demand response service system of sewage and waste water treatment plant
CN107092985A (en) * 2017-04-13 2017-08-25 大连理工大学 A kind of active distribution network congestion Dispatching Method towards the flexible charge and discharge electroresponse of electric automobile group
CN107658867A (en) * 2017-10-16 2018-02-02 华北电力大学 The alternating current-direct current mixing power distribution network dynamic reconfiguration method that multiagent participates in
CN108446796A (en) * 2018-03-01 2018-08-24 国网福建省电力有限公司 Consider net-source-lotus coordinated planning method of electric automobile load demand response
CN109636552A (en) * 2019-01-17 2019-04-16 华北电力大学（保定） The double-deck bid price competing method of Load aggregation quotient participation electricity market
CN109474022A (en) * 2019-01-22 2019-03-15 合肥工业大学 The power distribution network optimization regulating method of the interaction of consideration source lotus and distributed generation resource power output randomness

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
F.Luo et al..《A Distributed Electricity Trading System in Ac-tive Distribution Networks Based on Multi-Agent Coalition and Blockchain》.《IEEE Transactions on Power systems》.2018,第34卷(第5期),第4097-4108页. *
Qian Ai et al..《 Integrated Demand Response Mechanism for Industrial Energy System Based on Multi-Energy Interaction》.《IEEE Access》.2019,第66336-66346页. *
姜冬等.《主动配电网双层实时优化博弈研究》.《电测与仪表》.2018,第55卷(第18期),第50-56页. *

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