Study on the Optimal Allocation Method of Distributed Generation Capacity

Abstract:

In distribution network, there are multiple constraint condition on the capacity allocation of distributed generation, this text takes the maximization of power generation benefit as the premise, and adopts genetic algorithm to implement the optimal allocation of distributed generation’s capacity. The algorithm uses the minimum distribution network power consumption as objective function, the admissible deviation of supply voltage and capacity accessed to common point not more than 10MVA are taken as the constraint condition, and the Newton-Raphson method is adopted to carry out power flow calculation. Based on the algorithm, the specific planning program flow diagram is given, and combining Jiangxi Gongqing city distribution case, capacity planning design is carried out to conclude the optimal node access capacity. The conclusion of the study can play a better guiding role for the planning and design of distribution network including distributed generation.

• Periodical: Advanced Materials Research (Volumes 516-517)
• Pages: 1443-1447
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.516-517.1443
• Online since: May 2012
• Authors: Rui Xiang Fan, Hong Xia Xiao, Hong Chen
• Keywords: Distributed Generation (DG), Genetic Algorithm (GA), Optimal Allocation, Power Flow Calculation

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