Distributed power generation investment and distribution network planning optimization method in deregulated environment

A technology of distributed power generation and optimization method, which is applied in the direction of electrical components, circuit devices, AC network circuits, etc., can solve the problems of increased power generation costs, lack of interest coordination mechanism, and does not consider the impact of the interest relationship between DNO and DGO, so as to meet the technical requirements Effect

Inactive Publication Date: 2019-04-26
GUANGDONG POWER GRID CO LTD +1
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Problems solved by technology

[0002] Distributed power generation refers to small-capacity power generation facilities that are directly arranged on the distribution network or distributed near the load. As the disadvantages of centralized power generation, long-distance power transmission and large power grid interconnection continue to emerge, the cost of conventional power generation increases, and people's awareness of environmental protection continues to increase. , distributed power generation has attracted more and more attention. However, the connection of distributed generator sets to the distribution network will change the power flow in the distribution line, which will have a certain impact on the planning and operation of the distribution network, and even the safety and economic benefits. , in the market environment of deregulation, the investment and operation decisions of distributed power generation are decided by distributed power generation companies, and it is the responsibility of distribution network operators to ensure the safe and reliable operation of power grids. In this context, the investment and operation of DG What kind of impact will it have on DNO, how to guide DGO and DNO to make reasonable planning and scientific decision-making, so that the interests of both can be taken into account and the total social welfare can be increased, which is a question worth studying
[0003] Since the optimal allocation of distributed generation is closely related to distribution network planning, the relevant literature on distributed generation and distribution network planning can be divided into single planning and comprehensive coordination planning according to the type of decision variables: In the case of substation configuration, optimize the installation location and capacity of distributed generation, while the latter is the overall planning of distributed generation and distribution network substations or feeders. It is a global optimization plan, according to distributed generation optimization The calculation model of configuration can be divided into two types: single-objective optimization and multi-objective optimization. The former can be divided into the following three categories: from the perspective of investment, the optimization goal is to minimize the investment cost of the distribution company; The minimum is the optimization goal; from the perspective of environmental protection benefits, the maximum installed capacity of distributed power generation is the optimization goal, multi-objective constraints, and a multi-objective optimization model for distributed power generation planning is established from the perspectives of economy and safety, such as using distributed power generation The multi-objective optimization model is established with the minimum investment cost, the minimum network loss and the maximum static voltage stability margin. Most of them only establish the optimization model based on the optimal economic interests of a certain party, without considering the interest relationship between DNO and DGO and their In the process of distributed generation and distribution network planning, there is a lack of research on the interest coordination mechanism between DNO and DGO

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  • Distributed power generation investment and distribution network planning optimization method in deregulated environment
  • Distributed power generation investment and distribution network planning optimization method in deregulated environment
  • Distributed power generation investment and distribution network planning optimization method in deregulated environment

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Embodiment 1

[0042] See Figure 1-Figure 5 , The present invention provides the following technical solutions: a distributed power generation investment and distribution network planning optimization method in a deregulated environment, including model construction and an improved multi-objective hybrid leapfrog algorithm, the improved multi-objective hybrid leapfrog algorithm includes hybrid The mechanism and steps of the leapfrog algorithm. From the steps of the hybrid leapfrog algorithm, the algorithm has a logical and clear framework structure, but SLFA uses formulas (14) and (15) to calculate or replace Pg in the process of local optimization. Pb, when there is no better frog, a frog will be randomly generated in the search space to continue the optimization, but at this time, it may appear that the position of the new frog is not as good as the previous worst frog. In the invention, the random simplex method is used to improve the local search capability of SLFA, thereby effectively av...

Embodiment 2

[0120] See image 3 with Figure 6-Figure 12 , The present invention calculates the proposed method through IEEE-33 node distribution network system, the system structure is as image 3 As shown, the system has 32 branches and 5 tie switch branches. The average load and power factor of each load point are 55.5KW and 0.9285 respectively. The network passes through a 20KV substation, and St=0tr, s =20MW, the single unit capacity of the transformer Captr=10MW, the unit price Ctr=500,000 yuan, the present invention considers the simultaneous existence of non-renewable and renewable DG situations, Image 6 The relevant characteristics of gas turbines, diesel, cogeneration and wind turbines are given, Figure 7 The technical characteristics of wind power generator sets are given, and four load levels are considered, namely low load, waist load, base load and peak load. Figure 8 The predicted load demand and the adjustment coefficient value of the electricity price and their respective...

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Abstract

An embodiment of the invention discloses a distributed power generation investment and distribution network planning optimization method in a deregulated environment. The method includes model construction and an improved multi-objective shuffled frog leaping algorithm. The model construction includes an objective function, a constraint condition and uncertainty processing. The improved multi-objective shuffled frog leaping algorithm includes a shuffled frog leaping algorithm mechanism and steps. According to the method, joint optimization of distributed power generation investment and distribution network construction planning is studied, and a profit distribution coefficient is introduced in constructing an objective function process to achieve a win-win goal. According to the method, DNO can encourage investment and planning of various distributed power generation technologies more effectively, and uncertainties of various parameters in the future are also considered, which can helpplanners to make plans more accurately.

Description

Technical field [0001] The present invention relates to the field of distributed power generation technology, in particular to a distributed power generation investment and distribution network planning optimization method in a deregulated environment. Background technique [0002] Distributed power generation refers to small-capacity power generation facilities directly arranged in the distribution network or distributed near the load. With the continuous emergence of the disadvantages of centralized power generation, long-distance power transmission and interconnection of large grids, the cost of conventional power generation has increased, and people’s awareness of environmental protection has continued to increase. Distributed power generation has attracted more and more attention. However, when distributed generator sets are connected to the distribution network, the power flow in the distribution line will be changed, and it will have a certain impact on the planning and ope...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00
CPCH02J3/00H02J2203/20
Inventor 郑俊健王慧芬潘志达
Owner GUANGDONG POWER GRID CO LTD
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