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THE OPTIMAL DISPACH CONTAINING VIRTUAL POWER PLANTS WITH THE GOAL OF ENERGY CONSERVATION AND EMISSION REDUCTION

摘要


In this paper, the impacts of the Fog and Haze (F-H) weather on the photovoltaic output forecast, load forecast, and the optimal dispatch of the power system are discussed and the Artificial Neural Network (ANN) is employed to realize the prediction considering the F-H. The higher permeability of the Distributed Energy Resources (DER) in the power grid makes it difficult for dispatch center to directly control their outputs. Therefore, the concept of the Virtual Power Plant (VPP) is introduced and the power system optimal dispatch model containing VPPs and considering the influence of the F-H is constructed. On that basis, the Modified Artificial Bee Colony (MABC) is adopted to solve the dispatch model. The results of 6-node system and IEEE-30 system analysis indicate that the influence of the F-H could not be neglected, and the VPP possesses a higher priority to deal with dispatch challenges caused by a large amount of DER, which would realize the goal of energy conservation and emission reduction.

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