Optimal Microgrid Energy Management Integrating Intermittent Renewable Energy and Stochastic Load
In this paper,we focus on energy management of distributed generators (DGs) and energy storage system (ESS) in microgrids (MG) considering uncertainties in renewable energy and load demand.The MG energy management problem is formulated as a two-stage stochastic programming model based on optimization principle.Then,the optimization model is decomposed into a mixed integer quadratic programming problem by using discrete stochastic scenarios to approximate the continuous random variables.A Scenarios generation approach based on time-homogeneous Markov chain model is proposed to generate simulated time-series of renewable energy generation and load demand.Finally,the proposed stochastic programming model is tested in a typical LV network and solved by Matlab optimization toolbox.The simulation results show that the proposed stochastic programming model has a better performance to obtain robust scheduling solutions and lower the operating cost compared to the deterministic optimization modeling methods.
microgrid EMS Markov chain stochastic optimization
Ying Ji Jianhui Wang Shijie Yan Wenzhong Gao Hepeng Li
College of Information Science and Engineering, Northestern University, Shenyang 110819, China Department of Electrical and Computer Engineering, University of Denver, Denver, CO 80208, USA Lab. of Networked Control Systems, Shenyang Institute of Automation,Chinese Academy of Sciences, She
国际会议
重庆
英文
334-338
2015-12-19（万方平台首次上网日期，不代表论文的发表时间）