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Probabilistic optimal power dispatch in multi-microgrids using heuristic algorithms

Future distribution networks consist of some Micro grids (MGs) or Small Scale Energy Zones (SSEZs). In this paper the economic operation of SSEZs is formulated and solved as an optimization problem. A probabilistic model for Small Scale Energy Resources (SSERs) and load demand is used at each SSEZs to determine the optimal scheduling of microgrids with minimum operating cost. The power transaction between MGs and between MGs and the main is regulated based on the total operating cost and regarding the sold or purchase power either by microgrids or by main grid. The stochastically analysis of generated power with SSERs and their corresponding costs is determined considering optimization constraints and explained as PDF and CDF. The Imperialist Competitive Algorithm (ICA) and Particle Swarm Optimization (PSO) algorithm are applied to comparative study of the results as optimization algorithms. Based on the results, it is possible to determine the power demand and transaction between each SSEZs and the main grid. Besides, the results confirm that the power sharing between microgrids and main grid can decrease the operating cost of the smart distribution grids.