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基于改进布谷鸟搜索算法的电力系统多目标运行优化研究

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针对RES接入后的综合电力系统运行优化问题,提出一种改进的布谷鸟搜索(MCS)算法,通过优化布谷鸟搜索算法(CS)中莱维飞行的步长,以实现快速收敛.多 目标优化函数考虑了燃料和排放成本,在满足系统非线性运行约束的条件下,对改进后的IEEE 10机系统中进行了仿真分析,并与CS算法、粒子群优化算法(PSO)、混沌PSO算法进行比较,验证了 MCS算法在解决复杂的电力系统优化运行问题上的优越性.
Research on Multi-objective Operation Optimization of Power System Based on Modified Cuckoo Search Algorithm
Aiming at the operation optimization of integrated power system with RES,the paper proposes an improved Cuckoo search(MCS)algorithm,which optimizes the step length of Levy flight in Cuckoo search(CS)to achieve rapid convergence.The multi-objective optimization function considers the fuel cost and emission.Under the condition of meeting the nonlinear op-eration constraints,the modified IEEE 10 machines system is simulated and analyzed.Compared with CS,chaotic PSO and particle swarm optimization(PSO)algorithm,the superiority of MCS algorithm in solving complex optimal operation problems is verified.

renewable energy resourcemodified Cuckoo searchLevy flightmulti-objective optimization

康晓华

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国网甘肃省电力公司电力科学研究院,甘肃,兰州 730070

可再生能源 改进布谷鸟搜索 莱维飞行 多目标优化

2024

微型电脑应用
上海市微型电脑应用学会

微型电脑应用

CSTPCD
影响因子:0.359
ISSN:1007-757X
年,卷(期):2024.40(4)
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