An Energy Optimization Management Method of the Microgrid Based on Priority Ranking

Abstract:

Energy optimization management can realize optimal operation of the microgrid, to meet the requirements of economic operation, power supply reliability and environmental benefit, etcetera. Artificial intelligent algorithms are most widely used to solve this problem currently. In order to avoid the weaknesses of intelligent algorithms, this paper puts forward a simple and practical method based on priority ranking. A energy optimization management model of a grid-connected microgrid is established. Using the priority ranking method, optimal operation schemes under different optimization strategies are figured out. The analysis and discussion of optimal operation schemes and the comparison with the optimization result of particle swarm optimization (PSO) indicate that the method based on priority ranking is simple, effective and practical.

• Periodical: Advanced Materials Research (Volumes 986-987)
• Pages: 181-186
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.986-987.181
• Online since: July 2014
• Authors: Qin Zheng Yu*, Dong Mei Zhao
• Keywords: Energy Optimization Management, Microgrids (MGs), Particle Swarm Optimization (PSO), Priority Raking

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