摘要
地区电网在检修或事故运行方式下,容易发生线路潮流越限,在无可调度发电厂出力且转移负荷后仍无法消除线路越限的情况下,只能通过切除一定的负荷恢复正常潮流。对潮流越限后的最优切负荷策略进行了研究,由于地区电网规模较大,变电站数目较多,因此,首先通过灵敏度分析从中优选出对越限线路影响较大的若干个变电站,减少控制变量数目,提高运算效率;然后,运用遗传算法,寻求全局最优解,得到负荷调整量最小的方案;最后,基于某实际电力系统算例,验证了所提策略和算法的有效性。
Regional power grid is prone to power flow violation during maintenance or accident.In this situation,the normal power flow can be restored only by removing certain load if no power plants can be scheduled for power output or flow violation can not be eliminated with load transfer.This paper researches the strategy of optimal load removal for flow violation.Due to the large scale of regional grid and large number of power substations,through the sensitivity analysis some substations are selected for their greater influence on the flow violation circuit in order to reduce the control variables and improve calculation efficiency.Then,genetic algorithm is adpted for the global optimal solution and the minimum load adjustment scheme.Finally,the case study on an actual power system verifies the effectiveness of the proposed strategy and algorithm.
出处
《电力与能源》
2015年第5期629-633,共5页
Power & Energy
关键词
潮流越限
负荷控制
灵敏度系数
遗传算法
power flow violation
load control
sensitivity coefficient
genetic algorithm