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Coordination optimization of multiple thermostatically controlled load groups in distribution network with renewable energy

机译:可再生能源分配网络中多个恒温控制负荷组的协调优化

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As the increasing penetration of distributed renewable energy sources, the inherent fluctuation of their output power aggravates more control burden for the power system. Based on the direct load control, the regulation potential of distributed flexible loads can be developed to relieve this pressure. This paper proposes a real-time two-stage optimization model for multiple thermostatically controlled load groups to smooth the power fluctuation in distribution network. The upper-level evaluates the load regulation capacity and suppresses the net exchange power fluctuation; the lower-level further minimizes the regulation costs and makes the target demand curves for each load group, which can guide the subsequent load power tracking. Besides, within the load group, a proportion aggregation method is applied to reflect its external power regulation characteristics, while the decomposition program assigns the regulation task to each terminal user. For the complex problem established above, a hierarchical and iterative solving strategy is proposed to obtain the approximate optimal solution. The simulation results show that the proposed approach can effectively decrease the net exchange power fluctuation as well as regulation costs.
机译:随着分布式可再生能源的普及,其输出功率的固有波动加剧了电力系统的更多控制负担。基于直接负载控制,可以开发分布式柔性负载的调节潜力来缓解这种压力。本文为多个恒温控制的负荷组提出了一个实时两阶段优​​化模型,以平滑配电网络中的功率波动。上级评估负载调节能力并抑制净交换功率波动;下层进一步降低了调节成本,并为每个负载组绘制了目标需求曲线,可以指导后续的负载功率跟踪。此外,在负荷组内,采用比例聚合法来反映其外部功率调节特性,而分解程序则将调节任务分配给每个终端用户。针对以上建立的复杂问题,提出了一种层次化的迭代求解策略,以获得近似的最优解。仿真结果表明,该方法可以有效降低净交换功率波动和调节成本。

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