Research on solving the optimal sizing and siting of distributed generation

International Conference on Energy Engineering and Environmental Protection 2016

能源学;生态环境科学

Wang, Bo^1

Shandong Appraisal Centre for Environment and Engineering, Jinan

250012, China^1

关键词: Convergence process;    Differential evolution algorithms;    Distributed network planning;    Distributed power;    Interruption costs;    Model and algorithms;    Optimization problems;    Slow convergences;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/52/1/012040/pdf
DOI  :  10.1088/1742-6596/52/1/012040

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

In this paper, a distributed network planning model is proposed with the goal of minimizing the sum of distributed power investment cost, network loss and interruption cost. In order to compare the performance of differential evolution algorithm (DE) and genetic algorithm (GA) in solving the optimal sizing and siting of distributed generation in distribution networks, the two algorithms were adopted to optimize the capacities and positions of DGs. Through analysis on a 10-bus test system, the study results show that the proposed model and algorithm can get reasonable planning scheme. And in solving simple optimization problems, both GA and DE Algorithms can get good results, but compare to DE, GA is of slow convergence speed and the convergence process is not quite stable.