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Transmission network including VSC-HVDC expansion planning based on genetic algorithm with shift operation

机译:基于遗传算法的带移位运算的VSC-HVDC扩展规划输电网络

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摘要

An important purpose of building VSC-HVDC is to eliminate the overload and optimize the power flow in electric power network. From the points of the transmission network, a VSC-HVDC in electric power network influences the two end nodes' injection power of DC transmission line virtually and the injection power will further influence the distribution of branch power. The elimination of overload in electric power network that caused by VSC-HVDC has been considered when making transmission network expansion planning. A fast optimization model for power of transmission network including VSC-HVDC is built to minimize the network power loss. A new genetic operation called shift operation which will change the order of chromosome's local coding is added to the algorithm to keep the diversity of population. Garver-6 system is taken as an example to verify the correctness of the fast optimization model and prove that the genetic algorithm with shift operation can avoid local convergence more effectively. The genetic algorithm with shift operation is a beneficial attempt to improve the global convergence of genetic algorithm. The fast optimization model for power of transmission network including VSC-HVDC is proved to be practical.
机译:建立VSC-HVDC的一个重要目的是消除过载并优化电力网络中的潮流。从输电网络的角度来看,电网中的VSC-HVDC实际上会影响直流输电线路两端节点的注入功率,注入功率将进一步影响支路功率的分配。在制定输电网络扩展规划时,已考虑消除由VSC-HVDC引起的电网过载。建立了包括VSC-HVDC在内的传输网络功率的快速优化模型,以最大程度地降低网络功率损耗。一种新的遗传操作称为移位操作,它将改变染色体局部编码的顺序,该算法被添加到算法中,以保持种群的多样性。以Garver-6系统为例,验证了快速优化模型的正确性,证明了带移位运算的遗传算法可以更有效地避免局部收敛。具有移位运算的遗传算法是提高遗传算法全局收敛性的有益尝试。事实证明,包括VSC-HVDC在内的输电网络功率快速优化模型是可行的。

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