Multi-objective operation of smart stand-alone microgrid with the optimal performance of customers to improve economic and technical indices

Abstract

Abstract he operation problem of the Smart Stand-Alone Microgrids (SSAMGs) considering the economic and the technical indices is investigated in many studies. The aim of the most studies is to meet the demand of the system with the minimum cost and high reliability considering the technical constraints of the system. In this paper, maximizing the RES penetration and improving the voltage profile of the system are modeled besides the minimization of the operation cost through a multi-objective optimization model. Moreover, the demand side management (DSM) strategies consisting of the demand shifting (DS) and the demand curtailing (DC) are employed in the decision-making problem of the SSAMGs to improve its economic and technical indices. To analysis the performance of the system, the battery bank (BB) lifetime and the peak-to-average ratio (PAR) indices are used. The resulted model is solved by the augmented epsilon-constraint approach in General Algebraic Modeling System (GAMS) optimization software environment. The best solution is selected using the fuzzy and the weight sum approaches. To investigate the effectiveness of the model and its solution methodology, it is applied on the IEEE 33-bus through defining four case studies. The results show the better performance of the objective functions in the presence of DSM strategies. Moreover, the PAR and the BB lifetime indices are improved when the DSM strategies are used in the SSAMGs to meet the demand.