引用本文: | 毛思杰,贾燕冰,张琪.计及过载线路发热严重程度的紧急控制方法研究[J].电力系统保护与控制,2019,47(16):34-42.[点击复制] |
MAO Sijie,JIA Yanbing,ZHANG Qi.Research on emergency control method considering severity of overheating of overload line[J].Power System Protection and Control,2019,47(16):34-42[点击复制] |
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摘要: |
现有紧急控制算法制定紧急控制方案时没有考虑发电机有功出力调整速度的限制,不能根据过载线路消除过载迫切程度的不同灵活调整紧急控制方案,可能造成紧急控制方案的实用性较差,故提出一种计及过载线路发热严重程度的紧急控制方法。首先,建立紧急控制过程中过载线路的发热模型,定义过载线路热量累积极限值来描述调度员对消除线路过载的期望。其次,在功率灵敏度矩阵的基础上建立紧急控制过程中过载线路上流通的有功功率随发电机出力调整、切机切负荷措施的函数,进而实现对紧急控制期间过载线路发热情况的定量计算。最后以经济补偿最小化为目标,建立紧急控制优化模型,以基于模拟退火的粒子群优化方法求解模型。得到的紧急控制方案能够在满足调度员对消除线路过载的期望下充分发挥调整发电机出力成本低、切机切负荷措施实施时间短的优点,实用性更强。在IEEE39节点系统中对所提方法的正确性和优越性进行了验证。 |
关键词: 紧急控制 热量累积极限值 功率灵敏度矩阵 经济补偿最小化 粒子群算法 |
DOI:10.19783/j.cnki.pspc.181135 |
投稿时间:2018-09-04修订日期:2018-11-01 |
基金项目:国家重点研发计划项目资助(2018YFB0904700);国家自然科学基金项目资助(51777132) |
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Research on emergency control method considering severity of overheating of overload line |
MAO Sijie,JIA Yanbing,ZHANG Qi |
(Shanxi Key Lab of Power System Operation and Control, Taiyuan University of Technology, Taiyuan 030024, China) |
Abstract: |
The existing emergency control algorithm doesn’t consider the limit of generator adjustment speed when developing the emergency control scheme, and can’t flexibly adjust the control scheme according to the overload degree of the overload line, which may cause the practicality of the emergency control scheme poor, therefore, a method that takes into account the severity of the heating of overload line is proposed. Firstly, the heating model of the overload line in control process is established, and the heat accumulation limit value of the overload line is defined to describe the dispatcher's expectation to eliminate the line overload. Secondly, on the basis of power sensitivity matrix, active power circulating on the overload line is adjusted with the output of the generator and the load-cutting and cutting machine, so as to realize the calculation of the heat of the overload line during control period. Finally, with the goal of minimizing economic compensation, an optimization model is established, and the model is solved by simulated annealing particle swarm optimization. The obtained scheme can utilize the advantages of low cost of adjusting the output of the generator and short time of cutting the load and the generator, which has stronger practicability. The correctness and superiority of this method are verified in the IEEE39-node system. This work is supported by National Key Research and Development Program of China (No. 2018YFB0904700) and National Natural Science Foundation of China (No. 51777132). |
Key words: emergency control heat accumulation limit value power sensitivity matrix minimized economic compensation particle swarm optimization |