• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

Electric Power Construction ›› 2017, Vol. 38 ›› Issue (10): 115-.doi: 10.3969/j.issn.1000-7229.2017.10.016

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 Optimal Allocation and Pricing Decision Making Method for DG Considering Benefits of Different Shareholders in Electricity Market Environment

 ZENG Ming1, SHU Tong1, LI Yuanfei1, DOU Jinyue1, YU Hui2, CHEN Yunfei1

 
  

  1.  (1. State Key Laboratory for Alternate Electrical Power System with Renewable Energy Sources, North China .
    Electric Power University, Beijing 102206, China; 2. China Electric Power Research Institute, Beijing 100192, China)
     
  • Online:2017-10-01
  • Supported by:
     Project supported by National Natural Science Foundation of China(51507061)
     

Abstract:  ABSTRACT: With the process of marketization, distributed generation (DG) owner and distribution network operator tend to polarize into two different shareholders, which will make the problem of optimal allocation of DG change from the traditional optimization problem to the multi agent game problem. Under the background of the gradual deregulation of electricity price, the price and interest will become the main way to guide the two sides of the game. This paper integrates the game between DG owner and distribution network operator into a bi-level programming problem. After linearizing quadratic variables in the lower-level problem, the bi-level problem is integrated into a single layer mixed integer non-linear programming (MINLP) problem based on strong duality principle. By using an improved PSO algorithm to solve the problem, the contract price and the location of DG are obtained. The case study shows that, compared with the benchmark price practicing currently, the contract price obtained by the proposed model can improve the economic benefits of both DG owner and distribution network operator at the same time. Besides, the market pricing can effectively guide the planning and allocation of DG, and purchase and operation of the system operator, so as to obtain a better decision and comprehensive benefit.

 

Key words:  distributed generation, market environment, game relationship, contract price, bi-level programming

CLC Number: