A Multi-Objective Optimization Dispatch Method for Microgrid Energy Management Considering the Power Loss of Converters

Xiaomin Wu, Weihua Cao, Dianhong Wang and Min Ding
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Xiaomin Wu: School of Automation, China University of Geosciences, Wuhan 430074, China
Weihua Cao: School of Automation, China University of Geosciences, Wuhan 430074, China
Dianhong Wang: School of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan 430074, China
Min Ding: School of Automation, China University of Geosciences, Wuhan 430074, China

Energies, 2019, vol. 12, issue 11, 1-19

Abstract: With the spreading and applying of microgrids, the economic and environment friendly microgrid operations are required eagerly. For the dispatch of practical microgrids, power loss from energy conversion devices should be considered to improve the efficiency. This paper presents a two-stage dispatch (TSD) model based on the day-ahead scheduling and the real-time scheduling to optimize dispatch of microgrids. The power loss cost of conversion devices is considered as one of the optimization objectives in order to reduce the total cost of microgrid operations and improve the utility efficiency of renewable energy. A hybrid particle swarm optimization and opposition-based learning gravitational search algorithm (PSO-OGSA) is proposed to solve the optimization problem considering various constraints. Some improvements of PSO-OGSA, such as the distribution optimization of initial populations, the improved inertial mass update rule, and the acceleration mechanism combining the memory and community of PSO, have been integrated into the proposed approach to obtain the best solution for the optimization dispatch problem. The simulation results for several benchmark test functions and an actual test microgrid are employed to show the effectiveness and validity of the proposed model and algorithm.

Keywords: microgrid optimization dispatch; gravitational search algorithm; multi-objective; real-time scheduling (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

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