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Transmission Surplus Capacity Based Power Transmission Expansion Planning Using Chaos Optimization Algorithm

机译:基于混沌优化算法的基于输电剩余容量的输电扩容规划

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A novel power transmission expansion planning model and its application algorithm which considers the transmission surplus capacity and load factor of the transmission line is presented. In traditional transmission expansion planning, some transmission lines will run at a high load factor due to ignore the load level of transmission lines. This may lead to congestion in network and degrade dispatch flexibility. Such a planning process has put more emphasis on investment optimization than other aspects. This paper describes new objectives which aim to get the best distribution of branch load factors together with minimizing the investment simultaneously. Chaos Optimal Algorithm (COA) is introduced and used to solve transmission expansion planning problem due to its stochastic and ergodic characteristics. Its effectiveness of the proposed model and methodology are tested in two typical systems.
机译:提出了一种考虑输电线路剩余容量和负荷系数的新型输电扩展规划模型及其应用算法。在传统的传输扩展计划中,由于忽略传输线的负载水平,某些传输线将以较高的负载系数运行。这可能导致网络拥塞并降低调度灵活性。与其他方面相比,这种计划过程更加注重投资优化。本文介绍了新的目标,旨在获得最佳的分支负荷因子分布,同时最大程度地减少投资。引入混沌优化算法(COA),由于其具有随机性和遍历性,可以用来解决传输扩展规划问题。在两个典型的系统中测试了所提出的模型和方法的有效性。

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