Efficient Decentralized Economic Dispatch for Microgrids with Wind Power Integration

摘要

Decentralized energy management is of paramount importance in smartmicrogrids with renewables for various reasons including environmentalfriendliness, reduced communication overhead, and resilience to failures. Inthis context, the present work deals with distributed economic dispatch anddemand response initiatives for grid-connected microgrids with high-penetrationof wind power. To cope with the challenge of the wind's intrinsicallystochastic availability, a novel energy planning approach involving the actualwind energy as well as the energy traded with the main grid, is introduced. Astochastic optimization problem is formulated to minimize the microgrid netcost, which includes conventional generation cost as well as the expectedtransaction cost incurred by wind uncertainty. To bypass the prohibitivelyhigh-dimensional integration involved, an efficient sample averageapproximation method is utilized to obtain a solver with guaranteedconvergence. Leveraging the special infrastructure of the microgrid, adecentralized algorithm is further developed via the alternating directionmethod of multipliers. Case studies are tested to corroborate the merits of thenovel approaches.