Plug-in Hybrid Electric Vehicles (PHEV) technology shows great interest in the recent scientificliteratures. Vehicle-to-grid (V2G) is a interconnection of energy storage of PHEVs and grid. Byimplementation of V2G dependencies of the power system on small expensive conventional units canbe reduced, resulting in reduced operational cost. This paper represents an intelligent unitcommitment (UC) with V2G optimization based on Modified Harmony Search Algorithm (MHSA).MHSA was conceptualized using the musical process of searching for a perfect state of harmony, justas the optimization process seeks to find a global solution that is determined by an objective function.Intelligent UC with V2G optimization in power system is presented in this paper. Since the number ofPHEV in V2G is relatively high, UC with V2G optimization problem is more complex than the basicUC.A case study based on conventional 10-unit test system is conducted to facilitate the effectiveness ofthe proposed method. Results show a significant amount of cost reduction with integration of V2G inUC problem. Comparison of the results with those obtained by Particle Swarm Optimization showsthe effectiveness of the proposed method. پرونده مقاله

This paper presents a new Hybrid Particle Swarm optimization with Time Varying Acceleration Coefficients (HPSOTVAC) and Bacteria Foraging Algorithm (BFA) namely (PSOTVAC/BFA) base fuzzy stochastic long term approach for determining optimum location and size of Distributed Energy Resources (DERs). The Monte Carlo simulation method is used to model the uncertainties associated with long-term load forecasting. A proper combination of several objectives is considered in the objective function. Reduction of loss and power purchased from the electricity market, loss reduction in peak load level and reduction in voltage deviation are considered simultaneously as the objective functions. At first these objectives are fuzzified and designed to be comparable with each other and then they are introduced to a PSOTVAC/BFA algorithm in order to obtain the solution which maximizes the value of integrated objective function. The output power of DERs is scheduled for each load level. An enhanced economic model is also proposed to justify investment on DER. IEEE 30-bus radial distribution test system is used as an illustrative example to show the effectiveness of the proposed method پرونده مقاله