Abstract：In order to promote the economic use of electricity and the consumption of distributed generation, the energy storage device is crucial in the scheduling of active distribution network (ADN). However, it will greatly increase the cost of the system. The time-of-use (TOU) tariff can effectively promote the flexible load contribution for energy balance regulation, thereby reducing the cost of energy storage. Based on the theory of price elasticity of electric demand, resident historical data is used to divide different periods of TOU tariff. Under the demand response (DR) mechanism, a flexible load scheduling model based on control method is established in ADN. For reducing the power fluctuation of the network side as well as enhancing the degree of comfort and operation economy, a multi-objective optimization model is constructed. Then this model is solved by particle swarm optimization algorithm to obtain the control method of flexible load. Through the analysis and simulation of a specific scene, the effectiveness of the approach is demonstrated, which achieves friendly and efficient use of clean energy access in distribution network.
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2018, Vol. 33 
