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| Microgrid Energy Management Model Based on Improved Genetic Arithmetic |
| Chen Changsong, Duan Shanxu, Cai Tao, Liu Bangyin |
| State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan 430074 China |
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Abstract This paper presents a microgrid energy management model(MEMM) to optimize the operation of microgrids. As the energy output of photovoltaic(PV) system is intermittent and random, the output of power forecasting model is used as the input of MEMM. Because the charge and discharge management of energy storage system(ESS) is a complex planning issue that needs to be optimized across multiple-time steps, energy equality constraint is applied to optimize operation strategies of ESS. The distributed generation(DG) and ESS are defined as belonging to one unified model in the MEMM so that smart management of ESS, economic load dispatch and operation optimization of distributed generation are simplified into a single-object optimization problem. Two energy management strategies are designed for economic operation of microgrids under the stand-alone and grid-connection conditions and an improved genetic algorithm optimization module is proposed to achieve the two strategies. Application of the proposed energy management model on a small DC microgrid system shows the validity of the method and the computation results can be used to evaluate the economical performance of microgrids.
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Received: 07 December 2011
Published: 25 March 2014
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2013, Vol. 28 
