摘要
当前新型电力系统的电网运行方式存在多样性,容易导致传统规划网架校核方式不再适用。因此,采用改进量子粒子群算法(QPSO)进行电网规划网架的计算和辅助分析。实验发现,禁忌QPSO混合算法的成功率极高,接近100%。并且,该算法在降低电网购电成本和网架规划总成本上都表现出优势,分别降低至66.74万元和498.37万元,显著低于现有计算方法。结果表明禁忌QPSO混合算法在电网网架规划中的性能优异且经济效益显著。
In the current power system,the diversity of power grid operation methods leads to the traditional planning and grid verification methods no longer being suitable.Therefore,an improved quantum particle swarm optimization(QPSO)algorithm is adopted for the calculation and auxiliary analysis of the power grid planning framework.Research finds that the success rate of tabu QPSO hybrid algorithm is extremely high,approaching 100%.Moreover,this algorithm exhibits advantages in reducing the cost of power grid purchase and the total cost of grid planning,which are reduceed to 667400 yuan and 4983700 yuan,which are significantly lower than existing calculation methods.The results indicate that the tabu QPSO hybrid algorithm has excellent performance and significant economic benefits in power grid planning.
作者
张晓东
伍伟斌
徐文娟
石庆松
曹现峰
李裕珺
ZHANG Xiaodong;WU Weibin;XU Wenjuan;SHI Qingsong;CAO Xianfeng;LI Yujun(Chizhou Power Supply Company of State Grid Anhui Electric Power Co.,Ltd,,Chizhou 245100,China)
出处
《微型电脑应用》
2024年第11期307-309,共3页
Microcomputer Applications
