期刊
ENERGY
卷 191, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2019.116497
关键词
Risk assessment; Multi-objective mean-semi-entropy model; Standalone micro-grid; Preference-inspired co-evolutionary algorithm; Preference ranking organization method
资金
- Project of Shandong Province Higher Educational Science and Technology Program [J18KA019]
- National Natural Science Foundation of China [51707110]
- Shandong Province Natural Science Foundation of China [ZR2017LEE022]
- National Key R&D Program of China [2017YFB0902800]
Standalone renewable energy system holds the most promising solution to the electrification of remote areas without utility grid access as well as to reduce fossil fuel consumption and environmental pollution. However, the random volatility and unpredictability of renewable energy are key factors to restrict its large-scale accommodation. In the present study, a multi-objective mean-semi-entropy model is proposed for a standalone micro-grid with photovoltaic-wind-battery-diesel generator hybrid system, with the aim of providing a trade-off solution between maximum profits and minimum risk in consideration of photovoltaic and wind uncertainties. Then, the preference-inspired co-evolutionary algorithm, along with Pareto optimality concept, is used for the system techno-economic optimization, i.e., to maximize the profits defined as the mean value of the return and to minimize the risk defined as the semi-entropy simultaneously. Subsequently, the preference ranking organization method is used for decision making to determine the optimal trade-off dispatch solution. Simulation results show that the multi-objective mean-semi-entropy model is well applicable to deal with standalone micro-grid operation, considering the integration of uncertain renewable energy resources. (C) 2019 Elsevier Ltd. All rights reserved.
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