Title :
Distributed generation expansion based on a multi-objective mathematical programming approach
Author :
Javid, A. ; Ghafari, M. ; Akbari, T. ; Taheri, Hossein
Author_Institution :
Great Tehran Electr. Distrib. Co., Tehran, Iran
Abstract :
Due to the increase in electricity energy consumption and the crisis has been caused by greenhouse gases (GHG), it is now inevitable to use renewable energy. This would mainly be achieved by means of micro-grid that includes aggregated control of some Distributed Generation (DG) units that are grid connected and near the load. Therefore investing for installing new DGs in a micro-grid is needed. This paper investigates DG expansion planning for a micro-grid. A new method is presented employing a multi-objective mathematical programming (MMP) approach. The solution method is based on the augmented ε-constraint method. An illustrative example including a wind turbine, a photovoltaic, an electric vehicle, a heat storage tank and a μCHP has been studied in this paper. The results show the efficiency of the proposed method.
Keywords :
distributed power generation; mathematical programming; power distribution planning; μCHP; DG expansion planning; DG units; GHG; MMP approach; aggregated control; augmented ε-constraint method; distributed generation units; electric vehicle; electricity energy consumption; greenhouse gases; heat storage tank; microgrid; multiobjective mathematical programming approach; photovoltaic; renewable energy; wind turbine; Batteries; Cogeneration; Electricity; Investment; Linear programming; Photovoltaic systems; Wind turbines; DG expansion planning; augmented ε-constraint; micro-grid; multi-objective mathematical programming (MMP); risk management;
Conference_Titel :
Electrical Engineering (ICEE), 2014 22nd Iranian Conference on
Conference_Location :
Tehran
DOI :
10.1109/IranianCEE.2014.6999617