Stochastic Distribution Network Planning with Uncertain Renewable Energy Based on Credibility Assessment

2018 International Conference on Advanced Technologies in Energy, Environmental and Electrical Engineering

能源学;生态环境科学;无线电电子学

Zhou, Yuyong^1 ; Sun, Ke^2 ; Yang, Xuan^1 ; Zhang, Quanming^2 ; Zheng, Chaoming^2 ; Zhang, Luliang^3 ; Chen, Jia-Jia^4 ; Jiao, Pihua^4

State Grid Hangzhou Power Supply Company, Hangzhou

310000, China^1

State Grid Zhejiang Electric Power Co., LTD., Hangzhou

310007, China^2

School of Electric Power Engineering, South China University of Technology, Guangzhou

510641, China^3

School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo

255049, China^4

关键词: Complex construction;    Credibility assessment;    Model and algorithms;    Multi-modal optimization;    Operational planning;    Optimization problems;    Pre-mature convergences;    Stochastic distribution;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/223/1/012010/pdf
DOI  :  10.1088/1755-1315/223/1/012010

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Due to the uncertainty of renewable energy and complex construction of distribution network, the wind-solar power integrated distribution network is one of the most difficult optimization problems in operational planning of power system. This paper proposes a risk-based credibility assessment (RbCA) model for stochastic distribution network planning (SDNP) with wind-solar power penetration to obtain the optimal planning from the perspective of risk aversion. In the proposed model, the uncertain wind power and solar power are designed as credibility interval variables, and the operation risk of SDNP is measured by the credibility assessment of wind-solar power. In addition, in consideration that the SDNP is a constrained non-convex and multi-modal optimization problem, and the particle swarm optimization (PSO) is easily trapped into premature convergence in dealing with this kind of problems, a dynamic PSO with escaping prey (DPSOEP) has been developed to increase the diversity of the population and then obtain the optimal planning of distribution network. Simulation results obtained based on the modified IEEE 33 nodes distribution system show that the proposed model and algorithm are reasonable and effectiveness in dealing with the SDNP with uncertain wind-solar power penetration, considering the integration of various inequality and equality constraints.