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Multi-objective based economic operation and environmental performance of PV-based large industrial consumer

SOLAR ENERGY 2017年 157卷 227-235页

作者： Rezaeipour, Roshanak Zahedi, Ahmad Islamic Azad Univ Tabriz Branch Dept Elect Engn Tabriz Iran James Cook Univ Dept Elect & Comp Syst Engn Townsville Qld Australia

Provision of electrical energy for consumers with different consumption levels is not responsibility of power plants anymore. In other words, distributed energy resources are integrated to help consumers supply their own demands by themselves. Also, utilization of distributed energy resources including renewable ones would be a great step for satisfaction of environmental concerns imposed by environment friendly organizations. In this paper, a multi-objective model has been proposed to optimize economic operation and environmental performance of a large consumer in the presence of DRP. Pareto front set is achieved through solving the proposed model by C-constraint method and the best solution amid the obtained solutions is selected by max-min fuzzy satisfying technique. Positive effects of DRP has been also used for cost reduction and emission mitigation of large consumer. The proposed problem is modeled using a mixed-integer linear program and solved by GAMS software. Several case studies have been simulated and the corresponding results have been presented to confirm effectiveness of proposed techniques. (C) 2017 Elsevier Ltd. All rights reserved.

关键词： Multi-objective optimization model Large electricity consumer epsilon-constraint method and fuzzy satisfying approach Demand response program (DRP)

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