计及用户行为差异性和配电网潮流的电采暖负荷群优化调度策略研究

Research on optimal dispatch strategy of electric heating load groups considering user behavior difference and distribution network power flow

电采暖负荷作为一种优质的需求响应资源,可通过集群优化调度改善配网运行。为了实现合理调度电采暖负荷,提出一种计及用户行为差异性和配电网潮流的电采暖负荷群优化调度策略。首先对电采暖负荷可控容量预测机理进行分析。其次根据用户需求响应行为影响因素,将用户整合为多个电采暖负荷聚合体,并对各群体进行了热舒适度设计及可控容量求解。然后考虑配电网潮流约束,建立以负荷波动最小为目标的电采暖负荷群优化调度模型。最后算例分析表明,该优化调度模型可以提高电采暖负荷响应预测的准确度,改善配电网的削峰填谷效果,有利于系统经济安全运行。

As a high‑quality demand response resource,electric heating load groups can improve the operation of distribution network through optimization dispatch.In order to achieve reasonable dispatching of electric heating loads,an optimal strategy for electric heating load groups that takes into account user behavior difference and distribution network flow is proposed.At first,the prediction mechanism of the controllable capacity of electric heating load is analyzed.Secondly,according to the influencing factors of user demand response behavior,the users are integrated into multiple electric heating load aggregates,and the thermal comfort design and controllable capacity solution of each group are carried out.Considering the power flow constraints of the distribution network,an optimal dispatch model for electric heating load groups with the goal of minimizing load fluctuations is established.The example analysis shows that the optimal scheduling model can improve the accuracy of electric heating load response prediction,improve the effect of peak‑cutting and valley filling in the distribution network,and is conducive to the economic and safe operation of the system.