Title :
Optimal energy management for microgrids with cogeneration and renewable energy sources
Author :
Zheming Liang;Yuanxiong Guo
Author_Institution :
School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK 74078 USA
Abstract :
In this paper, we propose a framework for optimal microgrid energy management considering key features such as utilizing combined heat and power (CHP), handling uncertainties associated with renewable energy sources (RES) and electricity prices, and regulating system voltage levels. Our objective is to minimize microgrid operating cost while maintaining power quality and system security of microgrids. We formulate a two-stage stochastic program to address uncertainties in electricity prices and RES power outputs. The microgrid can maintain both heat and power balances by using multiple distributed energy resources (DER) including CHP, RES, heat storage, batteries, heat boilers, and deferrable loads. Extensive simulation results show that the microgrid can minimize the operating cost and ensure the energy balance and system security by coordinating components in the framework we proposed.
Keywords :
"Microgrids","Cogeneration","Uncertainty","Energy management","Density estimation robust algorithm","Real-time systems"
Conference_Titel :
Smart Grid Communications (SmartGridComm), 2015 IEEE International Conference on
DOI :
10.1109/SmartGridComm.2015.7436374