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作 者:陈碧云[1] 李欣桐 李滨[1] 丁晋 CHEN Biyun;LI Xintong;LI Bin;DING Jin(Guangxi Key Laboratory of Power System Optimization and Energy Technology(Guangxi University),Nanning 530004,China;State Grid Sichuan Electric Power Company Luzhou Power Supply Company,Luzhou 646000,China)
机构地区:[1]广西电力系统最优化与节能技术重点实验室(广西大学),广西南宁530004 [2]国网四川省电力公司泸州供电公司,四川泸州646000
出 处:《电力系统保护与控制》2019年第21期156-162,共7页Power System Protection and Control
基 金:国家自然科学基金项目资助(51767002)~~
摘 要:电力调度员操作的正确性对电网的安全可靠运行具有重要影响,它主要与调度员的工作经验、责任心以及历史操作正确率等非实时因素以及调度员工作时长、当值班次以及心理状态等实时因素密切相关。对影响调度操作正确性的人为因素进行建模,考虑不同班次工作量的合理分配,并以日调度操作总人因风险最小为目标,应用细菌群体趋药性算法对日电网调度任务进行优化分配。以某电网的实际调度工作任务为例进行分析,分配结果在保证各班次工作量均衡的同时满足了总人因风险值最小,验证了所提模型与方法的有效性。The correctness of operation of power dispatcher has an important impact on the safe and reliable operation of power grid,which is closely related to non-real-time factors such as dispatcher's work experience,sense of responsibility and historical operational accuracy,as well as real-time factors such as dispatcher's working hours,on-duty shifts and psychological state.This paper models the human factors influencing the accuracy of dispatching operation,takes the reasonable distribution of workload of different shifts into account,aims at minimizing the total human risk,and uses bacterial colony chemotaxis algorithm to optimize the allocation of daily power grid dispatching tasks.Taking the actual dispatching tasks of a certain power network as an analyzing example,the allocation result ensures that the workload of each shift is balanced while the total human risk value is minimized,which verifies the effectiveness of the proposed model and method.
关 键 词:电力调度 人因风险 工作量 细菌群体趋药性算法 优化分配
分 类 号:TM7[电气工程—电力系统及自动化]
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