CN113469435A - Power distribution network blocking management method considering financial power transmission right - Google Patents

Power distribution network blocking management method considering financial power transmission right Download PDF

Info

Publication number
CN113469435A
CN113469435A CN202110734593.4A CN202110734593A CN113469435A CN 113469435 A CN113469435 A CN 113469435A CN 202110734593 A CN202110734593 A CN 202110734593A CN 113469435 A CN113469435 A CN 113469435A
Authority
CN
China
Prior art keywords
distribution network
power
load
power transmission
distributed
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202110734593.4A
Other languages
Chinese (zh)
Other versions
CN113469435B (en
Inventor
林顺富
刘志鹏
施佳辉
李东东
边晓燕
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai Electric Power University
Original Assignee
Shanghai Electric Power University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shanghai Electric Power University filed Critical Shanghai Electric Power University
Priority to CN202110734593.4A priority Critical patent/CN113469435B/en
Publication of CN113469435A publication Critical patent/CN113469435A/en
Application granted granted Critical
Publication of CN113469435B publication Critical patent/CN113469435B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply

Abstract

The invention discloses a power distribution network blocking management method considering financial power transmission rights, which comprises the steps of carrying out universality modeling on flexible resources in a distribution network; blocking management is carried out based on a distributed strategy of the iterative distribution network node electricity price to form distributed blocking management; and introducing the financial power transmission right into a distribution network, and redistributing the blocking surplus collected by a real-time market distribution network system operator in cooperation with the distributed blocking management. The method comprehensively considers the multi-element flexible load and the distributed renewable energy power generation in the distribution network, solves the optimization problem of a producer and a consumer and a distribution network system operator in a distributed mode by using a secondary gradient method, introduces the financial power transmission right concept into the bidirectional blocking management of the distribution network, and can solve the problem of low effectiveness in the aspects of the existing blocking management, power price risk suppression and the like.

Description

Power distribution network blocking management method considering financial power transmission right
Technical Field
The invention relates to the technical field of optimal scheduling of a power distribution network, in particular to a power distribution network blocking management method considering financial power transmission rights.
Background
In the face of the challenges that the massive access of distributed power supplies presents to the operation of the power grid, the correlation between the demand for electricity and the price of wholesale electricity is gradually decreasing. Compared with the traditional power load, the flexible load has considerable price elasticity, the capacity of transferring and adjusting the load is obvious, the batch power price can be responded and responded, and the potential for relieving the output fluctuation of the renewable energy source is huge. The response of flexible loads to electricity prices and distributed energy output may cause load spikes and reverse power flows at certain times. Since the power demand is directly sourced from the distribution grid, bi-directional tidal current blockage has become a critical issue for safe operation of the distribution grid.
The current blocking management method is mainly divided into direct control and indirect control. Compared with direct control, indirect control generally stimulates the user to autonomously respond to the electricity price by means of a market mechanism, increases the market participation of the user, can effectively improve the satisfaction of the user, and promotes market competition. As a common means of indirect control, a distribution network node electricity price method (DLMP) is simple and easy to implement due to its theory, and has obtained a lot of research.
The indirect control based on the distribution network node electricity price can be divided into a centralized optimization method and a distributed optimization method. However, the centralized optimization not only increases the operation burden of distribution network system operators (DSOs), but also relates to the problem of sharing user sensitive data in the market in the process of optimizing the global optimal solution of the system, and is not in line with the competitive nature of the power market. Therefore, the method for managing the blocking of the power distribution network considering the financial power transmission right has practical significance.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and the title of the invention of this application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.
The present invention has been made in view of the above-mentioned conventional problems.
Therefore, the technical problem solved by the invention is as follows: the problem of current blocking management and the aspect validity such as price of electricity risk suppression is not high is solved.
In order to solve the technical problems, the invention provides the following technical scheme: the method comprises the following steps of carrying out universality modeling on flexible resources in a distribution network; blocking management is carried out based on a distributed strategy of the iterative distribution network node electricity price to form distributed blocking management; and introducing the financial power transmission right into a distribution network, and redistributing the blocking surplus collected by a real-time market distribution network system operator in cooperation with the distributed blocking management.
As a preferable solution of the method for managing blocking of a power distribution network considering financial power transmission rights according to the present invention, wherein: typical flexible loads include interruptible, transferable loads, and a state space model common to typical flexible load operations is as follows,
Figure BDA0003139905440000021
Figure BDA0003139905440000022
Figure BDA0003139905440000023
wherein x is a flexible load model state variable; x is the number ofmin、xmaxRespectively representing the minimum value and the maximum value of the flexible load state variable; w is a flexible load state coefficient which indicates the speed of maintaining the current state; v is the flexible load dissipation pfA contribution coefficient to a state variable; subscripts m, t denote the node number and time, respectively.
As a preferable solution of the method for managing blocking of a power distribution network considering financial power transmission rights according to the present invention, wherein: including active flexible loads, mainly loads with load regulation capability and capable of sending power to the power grid, a state space model common to typical active flexible loads is as follows,
Figure BDA0003139905440000024
Figure BDA0003139905440000025
Figure BDA0003139905440000026
Figure BDA0003139905440000027
Figure BDA0003139905440000028
wherein p isc、pdcRespectively representing the charging and discharging power of the active flexible load; p is a radical ofc,max、pdc,maxRespectively is an active flexible load charge-discharge power limit value; gamma and eta respectively represent the contribution coefficients of the charge and discharge power of the active flexible load to the state variable of the flexible load.
As a preferable solution of the method for managing blocking of a power distribution network considering financial power transmission rights according to the present invention, wherein: the distributed power supply considers that each load node is uniformly managed by a producer and a consumer by all the aggregated distributed power supplies, scheduling is carried out according to the maximum predicted output information reported by each renewable energy source, and the output of the distributed power supply meets the following basic constraints:
Figure BDA0003139905440000031
wherein p isreRepresenting the actual active output of the renewable energy power generation; p is a radical ofre,maxIndicating its maximum expected output.
As a preferable solution of the method for managing blocking of a power distribution network considering financial power transmission rights according to the present invention, wherein: including, load and electricity prices generally have a correlation, an increase in load drives up spot prices, a price sensitivity factor beta is used to describe its general correlation,
ct=c0,t+βPt
wherein, ctIs a predicted spot price; c. C0,tAs a base electricity price; ptLoad power for the node; beta is the price sensitivity coefficient.
As a preferable solution of the method for managing blocking of a power distribution network considering financial power transmission rights according to the present invention, wherein: the method comprises the steps that flexible loads and distributed power generation are aggregated by producers and consumers, the loads of the producers and consumers are scheduled to flexibly participate in the power market, and the electric energy demand p at the moment of m node t is taken as an ith producer and consumer as an examplem,tAs follows below, the following description will be given,
Figure BDA0003139905440000032
cost of the said destroyer at time t:
Ji,t=ctpi,t=c0,tpi,tΔt+β(pi,tΔt)2
as a preferable solution of the method for managing blocking of a power distribution network considering financial power transmission rights according to the present invention, wherein: further comprising, defining pi,t=pi,tΔ t, cost function J of the yield and offset iiThen the following is made,
Figure BDA0003139905440000033
wherein B is a diagonal matrix with diagonal elements of beta; c. C0,tIs a basic electricity price vector at the time t; p is a radical ofi,tAnd planning vectors for the power utilization at the time t.
As a preferable solution of the method for managing blocking of a power distribution network considering financial power transmission rights according to the present invention, wherein: the distributed strategy of the iterative distribution network node electricity price comprises that the upper layer optimizes that a distribution network system operator evaluates distribution network safety constraint and sends the node electricity price to the lower layer; each of the lower layer of the students optimizes their power plan.
The invention has the beneficial effects that: the method comprehensively considers the multi-element flexible load and the distributed renewable energy power generation in the distribution network, solves the optimization problem of a producer and a consumer and a distribution network system operator in a distributed mode by using a secondary gradient method, introduces the financial power transmission right concept into the bidirectional blocking management of the distribution network, and can solve the problem of low effectiveness in the aspects of the existing blocking management, power price risk suppression and the like.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise. Wherein:
fig. 1 is a schematic diagram of an interaction process between an operator and a producer and a consumer of a distribution network system in a distribution network blocking management method considering financial power transmission rights according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a distributed algorithm of iterative distribution network node electricity prices of the distribution network blocking management method considering financial power transmission rights according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a financial power transmission right of a power distribution network blocking management method considering the financial power transmission right according to an embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, specific embodiments accompanied with figures are described in detail below, and it is apparent that the described embodiments are a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making creative efforts based on the embodiments of the present invention, shall fall within the protection scope of the present invention.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described and will be readily apparent to those of ordinary skill in the art without departing from the spirit of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Furthermore, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
The present invention will be described in detail with reference to the drawings, wherein the cross-sectional views illustrating the structure of the device are not enlarged partially in general scale for convenience of illustration, and the drawings are only exemplary and should not be construed as limiting the scope of the present invention. In addition, the three-dimensional dimensions of length, width and depth should be included in the actual fabrication.
Meanwhile, in the description of the present invention, it should be noted that the terms "upper, lower, inner and outer" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of describing the present invention and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation and operate, and thus, cannot be construed as limiting the present invention. Furthermore, the terms first, second, or third are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The terms "mounted, connected and connected" in the present invention are to be understood broadly, unless otherwise explicitly specified or limited, for example: can be fixedly connected, detachably connected or integrally connected; they may be mechanically, electrically, or directly connected, or indirectly connected through intervening media, or may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Example 1
Referring to fig. 1, fig. 2 and fig. 3, a first embodiment of the present invention provides a method for managing blocking of a power distribution network considering financial power transmission rights, which specifically includes:
s1: and performing universality modeling on the flexible resources in the distribution network.
S2: and performing blocking management based on the distributed strategy of the power price of the iterative distribution network node to form distributed blocking management.
S3: and the financial power transmission right is introduced into the distribution network, and the blocking surplus collected by a real-time market distribution network system operator is redistributed in cooperation with distributed blocking management.
Specifically, this embodiment also needs to be described as follows:
typical flexible loads include interruptible, transferable loads, and a state space model common to typical flexible load operations is as follows,
Figure BDA0003139905440000051
Figure BDA0003139905440000052
Figure BDA0003139905440000053
wherein x is a flexible load model state variable; x is the number ofmin、xmaxRespectively representing the minimum value and the maximum value of the flexible load state variable; w is a flexible load state coefficient which indicates the speed of maintaining the current state; v is the flexible load dissipation pfA contribution coefficient to a state variable; subscripts m, t denote the node number and time, respectively.
An active flexible load mainly refers to a load which has load regulation capacity and can send power to a power grid, a state space model which is commonly used for the operation of a typical active flexible load is as follows,
Figure BDA0003139905440000061
Figure BDA0003139905440000062
Figure BDA0003139905440000063
Figure BDA0003139905440000064
Figure BDA0003139905440000065
wherein p isc、pdcRespectively representing the charging and discharging power of the active flexible load; p is a radical ofc,max、pdc,maxRespectively is an active flexible load charge-discharge power limit value; gamma and eta respectively represent the contribution coefficients of the charge and discharge power of the active flexible load to the state variable of the flexible load.
The distributed power supply considers that each load node is uniformly managed by a producer and a consumer by all the aggregated distributed power supplies, and scheduling is carried out according to the maximum predicted output information reported by each renewable energy source, wherein the output of the distributed power supply meets the following basic constraints:
Figure BDA0003139905440000066
wherein p isreRepresenting the actual active output of the renewable energy power generation; p is a radical ofre,maxIndicating its maximum expected output.
The load and the electricity price generally have correlation, the increase of the load can raise the spot price, the price sensitivity coefficient beta is used for describing the general correlation,
ct=c0,t+βPt
wherein, ctIs a predicted spot price; c. C0,tAs a base electricity price; ptLoad power for the node; beta is the price sensitivity coefficient.
The producers and the consumers aggregate flexible load and distributed power generation and schedule the flexible load to participate in the power market, for example, the ith producer and the consumer, the electric energy demand p at the moment of m node tm,tAs follows below, the following description will be given,
Figure BDA0003139905440000067
cost of the anestrus at time t:
Ji,t=ctpi,t=c0,tpi,tΔt+β(pi,tΔt)2
definition of pi,t=pi,tΔ t, cost function J of the yield and offset iiThen the following is made,
Figure BDA0003139905440000071
wherein B is a diagonal matrix with diagonal elements of beta; c. C0,tIs a basic electricity price vector at the time t; p is a radical ofi,tAnd planning vectors for the power utilization at the time t.
Example 2
The embodiment adopts a distributed method based on iterative distribution network node electricity prices, wherein, the upper layer optimization is realized by a distribution network system operator to evaluate distribution network safety constraints and send the node electricity prices to the lower layer; each of the lower layer of the students optimizes their power plan.
The distributed optimization method transfers the complex optimization problem from the distribution network system operator to each producer and consumer for parallel solution, can reduce the operation burden of the distribution network system operator, and improves the optimization efficiency, wherein the partial Lagrangian function of the global Lagrangian multiplier is expressed as:
Figure BDA0003139905440000072
its dual function
Figure BDA0003139905440000073
Figure BDA0003139905440000074
Wherein the original problem is convex quadratic programming problem and the original objective function can be microminiature, and the dual function is based on the property of Lagrangian dual function
Figure BDA0003139905440000075
For concave functions, to ensure the convexity of the problem, the pair of embodiments
Figure BDA0003139905440000076
By adopting the method of the secondary gradient,
Figure BDA0003139905440000077
sub-gradient S oftCan be expressed as:
Figure BDA0003139905440000078
the global Lagrange multiplier is updated according to an iterative formula:
Figure BDA0003139905440000079
Figure BDA00031399054400000710
wherein alpha is an iteration step length; k is the number of iterations; δ is an iteration parameter, δ ∈ (0,1), to smooth the iteration step size.
In the embodiment, the financial power transmission right is introduced into the power distribution network, and the blocking surplus collected by a real-time market distribution network system operator is redistributed by matching with a distributed blocking management method, so that the blocking electricity price risk caused by the flexible dispatching load of a producer and a consumer and a distributed power supply is avoided.
λi、λjNode electricity prices of nodes i and j respectively, and when the capacity p is purchased in advance from the node i to the node jFTRThe operator of the distribution network system will compensate for a certain fee F:
Fi,j=μ(λij)pFTR
Figure BDA0003139905440000081
wherein, mu is a compensation coefficient, and mu belongs to [0,1 ]]When mu is 1, the full compensation is realized;
Figure BDA0003139905440000082
the compensated net node electricity prices.
It should be noted that the above-mentioned embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, which should be covered by the claims of the present invention.

Claims (8)

1. A power distribution network blocking management method considering financial power transmission rights is characterized by comprising the following steps: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
performing universality modeling on flexible resources in a distribution network;
blocking management is carried out based on a distributed strategy of the iterative distribution network node electricity price to form distributed blocking management;
and introducing the financial power transmission right into a distribution network, and redistributing the blocking surplus collected by a real-time market distribution network system operator in cooperation with the distributed blocking management.
2. The method for managing blocking of a power distribution network considering financial power transmission right according to claim 1, wherein: typical flexible loads include interruptible, transferable loads, and a state space model common to typical flexible load operations is as follows,
Figure FDA0003139905430000011
Figure FDA0003139905430000012
Figure FDA0003139905430000013
wherein x is a flexible load model state variable; x is the number ofmin、xmaxRespectively representing the minimum value and the maximum value of the flexible load state variable; w is a flexible load state coefficient which indicates the speed of maintaining the current state; v is the flexible load dissipation pfA contribution coefficient to a state variable; subscripts m, t denote the node number and time, respectively.
3. The method for managing blocking of a power distribution network considering financial power transmission rights according to claim 1 or 2, wherein: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
an active flexible load mainly refers to a load which has load regulation capacity and can send power to a power grid, a state space model which is commonly used for the operation of a typical active flexible load is as follows,
Figure FDA0003139905430000014
Figure FDA0003139905430000015
Figure FDA0003139905430000016
Figure FDA0003139905430000018
Figure FDA0003139905430000017
wherein p isc、pdcRespectively representing the charging and discharging power of the active flexible load; p is a radical ofc,max、pdc,maxRespectively is an active flexible load charge-discharge power limit value; gamma and eta respectively represent the contribution coefficients of the charge and discharge power of the active flexible load to the state variable of the flexible load.
4. The method for managing blocking of a power distribution network considering financial power transmission right according to claim 3, wherein: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
the distributed power supply considers that each load node is uniformly managed by a producer and a consumer by all the aggregated distributed power supplies, and scheduling is carried out according to the maximum predicted output information reported by each renewable energy source, wherein the output of the distributed power supply meets the following basic constraints:
Figure FDA0003139905430000021
wherein p isreRepresenting the actual active output of the renewable energy power generation; p is a radical ofre,maxIndicating its maximum expected output.
5. The method for power distribution network congestion management considering financial power transmission rights according to claim 4, wherein: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
the load and the electricity price generally have correlation, the increase of the load can raise the spot price, the price sensitivity coefficient beta is used for describing the general correlation,
ct=c0,t+βPt
wherein, ctIs a predicted spot price; c. C0,tAs a base electricity price; ptLoad power for the node; beta is the price sensitivity coefficient.
6. The method for power distribution network congestion management considering financial power transmission rights according to claim 5, wherein: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
the producers and the consumers aggregate flexible load and distributed power generation and schedule the flexible load to participate in the power market, for example, the ith producer and the consumer, the electric energy demand p at the moment of m node tm,tAs follows below, the following description will be given,
Figure FDA0003139905430000022
cost of the said destroyer at time t:
Ji,t=ctpi,t=c0,tpi,tΔt+β(pi,tΔt)2
7. the method for power distribution network congestion management considering financial power transmission rights according to claim 6, wherein: also comprises the following steps of (1) preparing,
definition of pi,t=pi,tΔ t, cost function J of the yield and offset iiThen the following is made,
Figure FDA0003139905430000023
wherein B is a diagonal matrix with diagonal elements of beta; c. C0,tIs a basic electricity price vector at the time t; p is a radical ofi,tAnd planning vectors for the power utilization at the time t.
8. The method for power distribution network congestion management considering financial power transmission rights according to claim 7, wherein: the iterative distribution network node power rate distribution strategy comprises,
in the upper-layer optimization, a distribution network system operator evaluates distribution network safety constraints and sends node electricity prices to the lower layer;
each of the lower layer of the students optimizes their power plan.
CN202110734593.4A 2021-06-30 2021-06-30 Power distribution network blocking management method considering financial power transmission right Active CN113469435B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110734593.4A CN113469435B (en) 2021-06-30 2021-06-30 Power distribution network blocking management method considering financial power transmission right

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110734593.4A CN113469435B (en) 2021-06-30 2021-06-30 Power distribution network blocking management method considering financial power transmission right

Publications (2)

Publication Number Publication Date
CN113469435A true CN113469435A (en) 2021-10-01
CN113469435B CN113469435B (en) 2022-12-23

Family

ID=77874279

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110734593.4A Active CN113469435B (en) 2021-06-30 2021-06-30 Power distribution network blocking management method considering financial power transmission right

Country Status (1)

Country Link
CN (1) CN113469435B (en)

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
US20180218449A1 (en) * 2017-01-31 2018-08-02 Par Holmberg Bundles for an efficient auction design
CN108921595A (en) * 2018-06-08 2018-11-30 清华大学 A kind of virtual calculation method that Day-ahead electricity market node price differential is influenced of submitting a tender
CN109064236A (en) * 2018-09-04 2018-12-21 东南大学 Transmission rights pricing method under cross-border electricity trading environment based on power sensitivity
EP3435322A1 (en) * 2017-07-26 2019-01-30 General Electric Company Method and system for providing flexible reserve power for power grid
CN109523303A (en) * 2018-10-21 2019-03-26 天津大学 A kind of low-voltage active power distribution network congestion management method based on deploying node
CN109948954A (en) * 2019-04-04 2019-06-28 华北电力大学 A kind of two-way congestion Dispatching Method of power distribution network towards electric system distributed resource
CN110994701A (en) * 2019-12-20 2020-04-10 广州电力交易中心有限责任公司 Method, device, equipment and storage medium for testing simultaneous feasibility of financial power transmission rights
CN111416394A (en) * 2020-03-16 2020-07-14 国网河北省电力有限公司电力科学研究院 AC/DC flexible power distribution network coordinated optimization scheduling method considering blocking management
US20200287842A1 (en) * 2016-03-16 2020-09-10 At&T Intellectual Property I, L.P. Providing and Using a Distributed Forwarding Service
CN112054528A (en) * 2020-09-01 2020-12-08 武汉理工大学 Distributed power flow controller topology suitable for power distribution network and control method

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20200287842A1 (en) * 2016-03-16 2020-09-10 At&T Intellectual Property I, L.P. Providing and Using a Distributed Forwarding Service
US20180218449A1 (en) * 2017-01-31 2018-08-02 Par Holmberg Bundles for an efficient auction design
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
EP3435322A1 (en) * 2017-07-26 2019-01-30 General Electric Company Method and system for providing flexible reserve power for power grid
CN108921595A (en) * 2018-06-08 2018-11-30 清华大学 A kind of virtual calculation method that Day-ahead electricity market node price differential is influenced of submitting a tender
CN109064236A (en) * 2018-09-04 2018-12-21 东南大学 Transmission rights pricing method under cross-border electricity trading environment based on power sensitivity
CN109523303A (en) * 2018-10-21 2019-03-26 天津大学 A kind of low-voltage active power distribution network congestion management method based on deploying node
CN109948954A (en) * 2019-04-04 2019-06-28 华北电力大学 A kind of two-way congestion Dispatching Method of power distribution network towards electric system distributed resource
CN110994701A (en) * 2019-12-20 2020-04-10 广州电力交易中心有限责任公司 Method, device, equipment and storage medium for testing simultaneous feasibility of financial power transmission rights
CN111416394A (en) * 2020-03-16 2020-07-14 国网河北省电力有限公司电力科学研究院 AC/DC flexible power distribution network coordinated optimization scheduling method considering blocking management
CN112054528A (en) * 2020-09-01 2020-12-08 武汉理工大学 Distributed power flow controller topology suitable for power distribution network and control method

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
SARMAD HANIF 等: "Cost Optimal Integration of Flexible Buildings in", 《2016 IEEE》 *
胡鹏飞 等: "柔性互联智能配电网关键技术研究进展与展望", 《电力系统自动化》 *
赵一奇: "计及阻塞管理的交直流柔性配电网", 《电网技术》 *

Also Published As

Publication number Publication date
CN113469435B (en) 2022-12-23

Similar Documents

Publication Publication Date Title
Hu et al. Coordinated energy management of prosumers in a distribution system considering network congestion
Hossain et al. Modified PSO algorithm for real-time energy management in grid-connected microgrids
Hu et al. Application of network-constrained transactive control to electric vehicle charging for secure grid operation
Ghavami et al. Decentralized charging of plug-in electric vehicles with distribution feeder overload control
Ghofrani et al. A framework for optimal placement of energy storage units within a power system with high wind penetration
Al Essa Home energy management of thermostatically controlled loads and photovoltaic-battery systems
Li et al. A novel bi-level robust game model to optimize a regionally integrated energy system with large-scale centralized renewable-energy sources in Western China
Roy et al. A hybrid genetic algorithm (GA)–particle swarm optimization (PSO) algorithm for demand side management in smart grid considering wind power for cost optimization
Kalantar-Neyestanaki et al. Coordinating distributed energy resources and utility-scale battery energy storage system for power flexibility provision under uncertainty
Moazeni et al. Step towards energy-water smart microgrids; buildings thermal energy and water demand management embedded in economic dispatch
WO2019223279A1 (en) Method of constructing translatable load model on basis of environmental cost and real-time electricity prices
CN108306288A (en) A kind of microgrid community distributed energy distribution method based on Demand Side Response
Borray et al. Centralised coordination of EVs charging and PV active power curtailment over multiple aggregators in low voltage networks
Hijjo et al. PV-Battery-Diesel microgrid layout design based on stochastic optimization
Zhi et al. Scenario-based multi-objective optimization strategy for rural PV-battery systems
CN107528321B (en) Random optimal distribution method for power of interconnected power grid alternating current-direct current parallel power transmission channel
CN112350435A (en) Virtual power plant management and control device based on micro-grid group and electric power controllable load
CN113469435B (en) Power distribution network blocking management method considering financial power transmission right
Tziovani et al. Grid friendly operation of a PV-storage system with profit maximization and reliability enhancement
CN113689031B (en) Power distribution network blocking management method based on improved sub-gradient algorithm
Wan et al. Distributed Energy and Carbon Emission Right Trading in Local Energy Systems Considering the Emission Obligation on Demand Side
CN114240203A (en) Power distribution network and distributed wind power collaborative planning method and device containing heat pump
Situ et al. Economic analysis of commercial PV microgrids
Haque et al. Dynamic clustering for imbalance management through local supply and demand balancing
Iqbal et al. A novel approach of peer to peer energy sharing in dc microgrid with optimal distribution losses

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
EE01 Entry into force of recordation of patent licensing contract

Application publication date: 20211001

Assignee: SHANGHAI FANGRONG TECHNOLOGY Co.,Ltd.

Assignor: Shanghai Electric Power University

Contract record no.: X2024310000011

Denomination of invention: A Distribution Network Congestion Management Method Considering Financial Transmission Rights

Granted publication date: 20221223

License type: Common License

Record date: 20240116

EE01 Entry into force of recordation of patent licensing contract