چکیده:
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.
خلاصه ماشینی:
"CDSM Bt St 1 1 k t Indices: m My i, t (9) i = Set of RES technologies it it t = Set of periods (yearly) y m i, t (10) Parameters: Dt = Demand of the period t Ct = Cost of generating electricity from technology i OMi = Fixed and variable O&M cost related to i-th technology LCi = i-th technology`s life cycle INSTi = The cost of installation i-th technology CDSM = Cost per unit of SDSM Bt = The available budget for period t P = Maximum reduction in demand at period t by it it it it 1 yit LCi t F 1 k t y 0 or 1 i and t 0,, LC 1 i t (11) (12) (13) (14) DSM SOBJ = Minimum reduction in demand at period t by DSM m is integer (15) Variables: x 0 i, t (16) xit = Optimal amount of produced energy by i-th technology at period t yit = 1 if technology i is operational during period t ; otherwise equal to 0 mit= The number of i-th technology should installed at period t St= Slack variable which denotes the remaining budget from period t SDSMt= The amount of the energy which is reduced by DSM in period t Ft = The future time value factor which calculated by the discount rate k and is variable during periods (years)."