Analysis of Reliability Indices in Future Multi-Microgrids Under Optimum Operation of Small Scale Energy Resources Considering Uncertainty

In this paper, multi-microgrids (mmg) are considered as future smart distribution grids, in which smallscale energy resources (sser) are main power generation units with small scales. optimal operation ofmicrogrids in defined intervals is carried out to achieve economic conditions in distribution systems. thedefined operating problem is optimized using a heuristic algorithm considering uncertainties in loads andrenewable energy resources (rers). the probability density functions (pdfs) are used to encounter withthe uncertainties. the total cost of the network is minimized by the algorithm. then, each mg is evaluatedfrom reliability point of view. some new introduced reliability indices in the literature for mgs are used toevaluate the mgs reliability and costs. in proposed structure, the mgs are in interconnected mode and thereis power exchanging between mgs. the particle swarm optimization (pso) algorithm is applied to optimalpower dispatch and the obtained results are compared by monte carlo simulation (mcs) method