Masoud Rabbani - School of Industrial and System Engineering, College of Engineering, University of Tehran, Iran
Iman Shokr - School of Industrial and System Engineering, College of Engineering, University of Tehran, Iran
Amir Farshbaf-Geranmayeh - School of Industrial and System Engineering, College of Engineering, University of Tehran, Iran

Renewable energy sources (RES) are known as a tool to meet the energy demand more economic and sustainable, especially in rural and remote areas. There is a research gap around mathematically modeling for investment on renewable energy source and decentralized energy planning (DEP) by considering supply and demand side simultaneously. The aim of this paper is to find an optimum solution for planning RES according to minimize the net present value of demand side management (DSM) costs, operation and maintenance and installation costs and the cost of producing energy during the time horizon. Thus an integrated multi objective decentralized energy planning model is presented in both the deterministic and stochastic demands and the TH method is exploited to solve the multi objective programming. Also the chance constraint method is utilized for entrance the uncertainty for the demand in mathematical models. To validate the proposed models, the sensitivity analysis is implemented and impacts of life cycle of technologies and the coefficient of compensation in TH method are investigated.

Renewable energy sources (RES), Decentralized energy planning (DEP), demand side management (DSM), energy planning, Multi objective programming (MOP)