输电扩展规划中的布谷鸟搜索算法

H. Trần, N. Vo, H. Quyen
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引用次数: 0

摘要

今天,能源是经济发展和人口增长的热点问题,而电能扮演着关键的角色。电力系统既在不断扩大发电量,又在不断发展输电线路。效率问题和最优生成问题一直是研究人员非常感兴趣的问题。因此,针对发展负荷的并网规划优化问题是电力系统中一个非常重要的问题。为了解决传输扩展规划问题,有许多算法在效率方面得到了应用,但需要大量的输入数据,很少的计算时间等。在所提出的方法中,通过在基网络中添加杜鹃搜索算法开发的潜在解来解决每个网络的直流潮流子问题。将布谷鸟搜索算法应用于具有多约束条件的46总线系统的输电扩容规划问题,并给出了满足未来负荷需求的优化方案。新的解决方案显著降低了总投资成本。
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A Cuckoo Search Algorithm for Transmission Expansion Planning
Today, energy is a topical issue for the developing economy and the growing population, and electrical energy plays a key role. The power system is both continuously expanding generations and developing transmission lines. The efficient problem and the optimal generation is an issue in which researchers are very interested. Therefore, the problem is the optimization in the grid expansion planning for development load, which is a very important issue in the power system. To solve the transmission expansion planning, there are many algorithms that have been applied to efficiency but need a lot of input data, a little computing time, etc. In the proposed methodology, a DC power flow subproblem is solved for each network resulting from adding a potential solution developed by the cuckoo search algorithm to the base network. The cuckoo search algorithm will apply to the transmission expansion planning problem that proves 46 bus system with many constraints, and it brings the optimization solution to meet the load demand in the future. The new solutions achieve a remarkable reduction in the total investment cost.
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