孙毅, 张辰, 李泽坤, 张旭东, 李飞. 计及多区域用户差异化PMV的柔性负荷多功率级调控策略[J]. 中国电机工程学报, 2021, 41(22): 7574-7585. DOI: 10.13334/j.0258-8013.pcsee.202197
引用本文: 孙毅, 张辰, 李泽坤, 张旭东, 李飞. 计及多区域用户差异化PMV的柔性负荷多功率级调控策略[J]. 中国电机工程学报, 2021, 41(22): 7574-7585. DOI: 10.13334/j.0258-8013.pcsee.202197
SUN Yi, ZHANG Chen, LI Zekun, ZHANG Xudong, LI Fei. Flexible Load Multi-power Level Control Strategy Taking Into Account the Differentiated PMV of Multi-region Users[J]. Proceedings of the CSEE, 2021, 41(22): 7574-7585. DOI: 10.13334/j.0258-8013.pcsee.202197
Citation: SUN Yi, ZHANG Chen, LI Zekun, ZHANG Xudong, LI Fei. Flexible Load Multi-power Level Control Strategy Taking Into Account the Differentiated PMV of Multi-region Users[J]. Proceedings of the CSEE, 2021, 41(22): 7574-7585. DOI: 10.13334/j.0258-8013.pcsee.202197

计及多区域用户差异化PMV的柔性负荷多功率级调控策略

Flexible Load Multi-power Level Control Strategy Taking Into Account the Differentiated PMV of Multi-region Users

  • 摘要: 柔性负荷作为需求侧重要可调资源,能够参与电力系统灵活调节,促进新能源消纳。柔性负荷调控中存在的负荷功率属性、用户差异化舒适度以及状态序列等异构性问题,成为调控时需要考虑的难点。针对上述问题,该文首先利用预测平均指标(predicted mean vote,PMV)舒适度指标综合量化用户舒适度,建立计及PMV的柔性负荷多功率级调节模型;然后根据聚类算法和PMV-PPD模型,提出计及多区域用户差异化PMV的消纳量分配策略;其次基于功率状态队列对单功率级和多功率级柔性负荷群开展联合调控策略,根据消纳量变化动态调节负荷功率。算例仿真表明所提策略相比传统方法能进一步实现精准消纳,显著提升用户舒适度,同时使多功率级负荷平稳运行。

     

    Abstract: As an important adjustable resource on the demand side, flexible load can participate in the flexible regulation of the power system and promote the consumption of new energy. Heterogeneous issues such as load power attributes, user differentiated comfort, and state sequence existing in flexible load regulation have become difficult points to be considered in regulation. In response to the above problems, this paper firstly used the PMV comfort index to comprehensively quantify user comfort, and established a flexible load multi-power level adjustment model that took PMV into account; then, based on the clustering algorithm and PMV-PPD model, it proposed to account for multi-region user differences the allocation strategy of the consumption of PMV; thirdly, the joint control strategy of single power level and multi-power level flexible load groups was carried out based on the power state queue, and the load power was dynamically adjusted as the consumption changes. Numerical example simulations show that the proposed strategy can further achieve precise consumption compared with traditional methods, significantly improve user comfort, and make the multi-power stage load run smoothly.

     

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