引用本文:冯小峰,林国营,徐青山,卢世祥,谢添阔.集群空调负荷双层动态优化调度决策方法[J].电力自动化设备,2020,40(6):
FENG Xiaofeng,LIN Guoying,XU Qingshan,LU Shixiang,XIE Tiankuo.Bi-level dynamic optimization dispatch decision method for cluster air-conditioning loads[J].Electric Power Automation Equipment,2020,40(6):
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集群空调负荷双层动态优化调度决策方法
冯小峰1, 林国营1,2, 徐青山3, 卢世祥1, 谢添阔4
1.广东电网有限责任公司计量中心,广东 广州 518049;2.浙江大学 电气工程学院,浙江 杭州 310027;3.东南大学 电气工程学院,江苏 南京 210096;4.华北电力大学 电力工程系,河北 保定 071003
摘要:
为了解决常规空调调度中切除负荷带来的电网运行稳定问题,在集群空调的调度中考虑空间上的优化组合,提出一种考虑网损和调度偏差最小的自上而下双层优化动态调度决策方法。在空调的聚类建模中,研究空调参数和运行状态的差异性,分析并验证聚类中的误差约束值和分组数对调度准确性的影响;在双层优化调度中,通过最优潮流计算合理地分配空间上调度的容量,有效减小网损与电压越限的可能性;结合动态调度,提高调度的准确性,保证用户的舒适性。IEEE 33节点配电网算例结果验证了所提算法的可行性和准确性。
关键词:  空调负荷  网损  聚类建模  调度偏差  双层优化调度
DOI:10.16081/j.epae.202005012
分类号:TM73
基金项目:中国南方电网有限责任公司科技项目(GDKJXM-20161607)
Bi-level dynamic optimization dispatch decision method for cluster air-conditioning loads
FENG Xiaofeng1, LIN Guoying1,2, XU Qingshan3, LU Shixiang1, XIE Tiankuo4
1.Metering Center of Guangdong Power Grid Co.,Ltd.,Guangzhou 518049, China;2.School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China;3.School of Electrical Engineering, Southeast University, Nanjing 210096, China;4.Department of Electric Power Engineering, North China Electric Power University, Baoding 071003, China
Abstract:
In order to solve the stability problem of power grid caused by load removal in conventional air-conditioning dispatch, a top-down bi-level dynamic dispatch decision method considering the minimum network loss and dispatch deviation is proposed, which considers the optimal spatial combination in the dispatch of cluster air-conditioning. In the cluster modeling of air-conditioning, the differences of parameters and operation conditions of air-conditioning are researched, and the influence of error constraint value and grouping number on dispatch accuracy in the cluster is analyzed and verified. In the optimal bi-level dispatch, the spatial dispatch capacity is reasonable allocated by the optimal power flow calculation, which effectively reduces the network loss and the voltage over-limit possibility. The dispatch accuracy is improved and user comfort is ensured by the combination of dynamic dispatch. The results of IEEE 33-bus distribution network example verify the feasibility and accuracy of the proposed algorithm.
Key words:  air-conditioning loads  network loss  cluster modeling  dispatch deviation  bi-level optimization dispatch

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