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引用次数: 15

摘要

本文将遗传算法应用于求解总传输能力问题。TTC是系统运行条件和安全约束的非线性函数。提出的遗传算法的目标是在不违反系统约束的情况下最大化特定的点对点电力交易,并通过全局最优搜索确定两点之间的TTC。所建议的遗传算法易于实现,并且可以很容易地合并各种约束。基于浮点数的遗传算法在4总线测试系统上进行了测试,具有良好的收敛性。试验结果与连续潮流的结果进行了比较。
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Total transfer capability calculations for competitive power networks using genetic algorithms
The application of the genetic algorithms to solve the total transfer capability (TTC) problem is proposed in this paper. TTC is a nonlinear function of the system operating conditions and security constraints. The objective of the proposed genetic algorithm is to maximize a specific point-to-point power transaction without system constraint violation and to determine the TTC between the two points through global optimal search. The suggested genetic algorithm is simple to implement and can easily incorporate various constraints. The floating-point based genetic algorithm was tested on a 4 bus test system with good convergence. The test results are compared favorably with that obtained from the continuation power flow.
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