Optimization of joint energy micro-grid with cold storage

International Conference on Energy Engineering and Environmental Protection 2017

能源学;生态环境科学

Xu, Bin^1 ; Luo, Simin^2 ; Tian, Yan^2 ; Chen, Xianda^3 ; Xiong, Botao^4 ; Zhou, Bowen^1

College of Information Science and Engineering, Northeastern University, China^1

Guangzhou Power Supply Bureau, China^2

State Grid Jinan Power Supply Company, China^3

State Grid Hubei Corporation Maintenance Company., China^4

关键词: Distributed pv;    Economic Dispatch;    Linear weighted sum methods;    Optimal power;    Optimization modeling;    Optimization strategy;    Particle swarm optimization algorithm;    Production cost;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/121/4/042001/pdf
DOI  :  10.1088/1755-1315/121/4/042001

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

To accommodate distributed photovoltaic (PV) curtailment, to make full use of the joint energy micro-grid with cold storage, and to reduce the high operating costs, the economic dispatch of joint energy micro-grid load is particularly important. Considering the different prices during the peak and valley durations, an optimization model is established, which takes the minimum production costs and PV curtailment fluctuations as the objectives. Linear weighted sum method and genetic-taboo Particle Swarm Optimization (PSO) algorithm are used to solve the optimization model, to obtain optimal power supply output. Taking the garlic market in Henan as an example, the simulation results show that considering distributed PV and different prices in different time durations, the optimization strategies are able to reduce the operating costs and accommodate PV power efficiently.