Multi-objective optimization framework for optimal planning of the microgrid (MG) under employing demand response program (DRP)

摘要

In this paper reliability-constrained optimization approach is presented to calculate the number and size of micro grid (MG) system components. To this aim, the loss of load expectation and expected energy not supplied are introduced as problem reliability indices. The uncertainties regarded to load forecasting, all MG units modeling and the random outage of all units are modeled by utilizing the Monte carol sampling approach. The main goal of the proposed paper is to find optimal size of MG in which MG investment cost as well as operating and emission cost are minimized. Furthermore, a bi-objective optimization model has been proposed for optimum economic operation and environmental performance of MG containing EVs under employment of time of use (TOU) rates of demand response program (DRP). To solve such a problem, epsilon-constraint and fuzzy decision making methods are utilized. Long term planning as optimization problem is solved using Tabu search algorithm. Obtained results from simulations reveal that due to positive implementation of TOU of DRP, total emission and operation cost of MG have been reduced up to 3.99% and 1.83%, respectively. This means that both economic and environmental objectives are satisfied.