Multi-Objective Dispatch of a Microgrid with Battery Energy Storage System Based on Model Predictive Control

Abstract:

Microgrid has been considered as a new green and reliable power system technique, especially for remote regions. In recent years, there is a steady increasing in studying optimal microgrid deploying and operation strategies. Multi-objective optimization is the most interesting approach for resolving these issues. The multi-objective optimization includes energy operation cost and emission pollutant cost. Potential benefits of using model predictive control (MPC) strategy for multi-objective dispatch problem in microgrid with fluctuant energy resources, such as solar, wind and alike are also presented by comparing with the strategy of day-ahead programming strategy and normal strategy with no battery energy storage. Simulation results show that the proposed model in this paper could reflect the actual characteristics of microgrid more precisely.

• Periodical: Advanced Materials Research (Volumes 1070-1072)
• Pages: 1384-1390
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1070-1072.1384
• Online since: December 2014
• Authors: Yan Zhang*, Tao Zhang, Bo Guo, Yong Chao Cai
• Keywords: Battery Energy Storage System (BESS), Microgrid, Model Predictive Control (MPC), Multi-Objective Optimization (MOP), Renewable Energy Resources (RER)

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