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Incremental power distribution network planning method considering source network load multilateral incomplete information game

A distribution network planning, source network load technology, applied in the direction of instruments, data processing applications, calculations, etc.

Active Publication Date: 2019-09-03
CHINA THREE GORGES UNIV
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Problems solved by technology

Judging from the existing research, the research on the incremental distribution network planning method considering the multilateral incomplete information game between the source network and the load has not yet been reported.

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  • Incremental power distribution network planning method considering source network load multilateral incomplete information game
  • Incremental power distribution network planning method considering source network load multilateral incomplete information game
  • Incremental power distribution network planning method considering source network load multilateral incomplete information game

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Embodiment Construction

[0114] The technical solution of the present invention includes constructing income models for investment theme planning, analyzing the transfer relationship and game behavior between game subjects, constructing a Bayesian Nash equilibrium game planning model, and solving Bayesian equilibrium problems under incomplete information games.

[0115] 1. The planning income model of each investment entity

[0116] (1) Planning income model of DG investment operators

[0117] 1) Objective function

[0118] As an investment operator of distributed power generation, the planning content of DG investment operator includes the location and capacity of distributed power generation. The objective function of the DG investment operator planning model includes two parts: income and cost. The income mainly includes DG electricity sales income and government subsidies for renewable energy generation. The cost mainly includes DG investment costs and operation and maintenance costs. The specif...

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Abstract

An incremental power distribution network planning method considering a source network load multilateral incomplete information game is characterized by comprising the following steps of 1) constructing a planning income model of three game subjects including a DG investment operator, a power distribution network investment operator and a power user in an incomplete information environment; 2) researching the transmission relationship and game behavior of the three market subjects under the multilateral incomplete information game pattern; 3) constructing an incremental power distribution network planning model considering the multilateral incomplete information game of the source network load; and 4) providing a Bayesian Nash equilibrium condition for an incremental power distribution network planning model, and solving the model by using a coevolution algorithm. In order to solve the technical problems indicated in the background technology, the invention provides a source network load collaborative planning method of the incremental power distribution network considering a multi-subject incomplete information game.

Description

technical field [0001] The invention belongs to the field of power system planning research, in particular to the field of power system planning with multi-participating subjects in the power market as the core under the environment of an incremental distribution network. Background technique [0002] With the gradual opening of incremental power distribution business to social capital, distributed generation (Distributed Generation, DG) investment operators and power users participating in demand side response (Demand Side Response, DSR) began to participate in the development of distribution network as independent market entities. Investment and operation have made the main body of the electricity market increasingly diversified. However, the increasingly complex competition environment of the electricity market often means that the uncertainty of the types of market players increases, and the highlight of information asymmetry. The source-net-load collaborative planning ...

Claims

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Application Information

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IPC IPC(8): G06Q50/06
CPCG06Q50/06Y04S10/50
Inventor 杨楠李雍董邦天黄悦华张涛刘颂凯张磊王灿
Owner CHINA THREE GORGES UNIV
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