为促进居民经济用电以及对分布式能源的消纳,在主动配电网的优化调度中,储能设备的调蓄作用至关重要,但单纯依靠储能的调节作用会极大增加系统成本.在需求响应机制下,利用分时电价机制可有效促进柔性负荷参与系统能量平衡的调蓄作用,从而有效降低储能单元配置成本.基于电力需求弹性理论,建立引入分时电价机制的主动配电网柔性负荷调度模型;构建可降低网侧功率波动、兼顾用户生活舒适度以及运行经济性为目标的多目标优化模型,并通过粒子群算法求解获得柔性负荷控制策略.通过对某一具体场景的分析与仿真证明了所提方法的有效性,实现配网清洁能源的友好接入和高效利用.%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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