期刊
ENGINEERING OPTIMIZATION
卷 48, 期 5, 页码 811-830出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/0305215X.2015.1057135
关键词
energy and operation management; microgrid; uncertainty; point estimate method; particle swarm optimization
资金
- Ministry of Education, Science and Technological Development of the Republic of Serbia [TR 33046]
This article presents an efficient algorithm based on particle swarm optimization (PSO) for energy and operation management (EOM) of a microgrid including different distributed generation units and energy storage devices. The proposed approach employs PSO to minimize the total energy and operating cost of the microgrid via optimal adjustment of the control variables of the EOM, while satisfying various operating constraints. Owing to the stochastic nature of energy produced from renewable sources, i.e. wind turbines and photovoltaic systems, as well as load uncertainties and market prices, a probabilistic approach in the EOM is introduced. The proposed method is examined and tested on a typical grid-connected microgrid including fuel cell, gas-fired microturbine, wind turbine, photovoltaic and energy storage devices. The obtained results prove the efficiency of the proposed approach to solve the EOM of the microgrids.
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