VPP decision making in power markets using Benders decomposition

摘要: SUMMARY A group of energy resources (including storage units) physically distributed in the network which are placed under a unified and integrated management with central control system is called Virtual Power Plant (VPP). The bidding strategy VPP, as participant reserve markets, has significant role maximizing its profit. This paper proposes new mathematical approach based on comprehensive model for VPP markets. In our proposed topology, security constraints, constraints (DER) composing power loss balance between supply demand considered. method determines amount that should be bought or sold day-ahead commitment DER units, charge discharge status units load curtailments. We have used Benders decomposition (BD) solving problem. results obtained using BD technique compared those genetic algorithm (GA). Simulation confirm more advantageous It also shown can applied to problem large-scale VPPs considering all constraints. observed computational time GA optimality solution major obstacles applying solve VPPs. Copyright © 2013 John Wiley & Sons, Ltd.