Reliability evaluation in multi-microgrids under probabilistic optimum operation using heuristic algorithm

In this paper, Multi-Microgrids (MMG) are considered as future smart distribution grids, in which small scale energy resources (SSER) are main power generation units with small scales. Optimal operation of microgrids in defined intervals is carried out to achieve economic conditions in distribution systems. The defined operating problem is optimized using a heuristic algorithm considering uncertainties in loads and renewable energy resources (RERs). The probability density functions (PDFs) are used to encounter with the uncertainties. The total cost of the network is minimized by the algorithm. Then the reliability evaluation is done for each MG. Some new introduced reliability indices in the literature for MGs are used to evaluate the MGs reliability and costs. In proposed structure, the MGs are in interconnected mode and there is power exchanging between MGs. The particle swarm optimization (PSO) algorithm is applied to optimal power dispatch and the obtained results are compared by Monte Carlo simulation (MCS) method.