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A specialized genetic algorithm to solve the short term transmission network expansion planning

机译:一种解决短期传输网络扩展规划的专业遗传算法

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In this paper, the short term transmission network expansion planning (STTNEP) is solved through a specialized genetic algorithm (SGA). A complete AC model of the transmission network is used, which permits the formulation of an integrated power system transmission network expansion planning problem (real and reactive power planning). The characteristics of the proposed SGA to solve the STTNEP problem are detailed and an interior point method is employed to solve nonlinear programming problems during the solution steps of the SGA. Results of tests carried out with two electrical energy systems show the capabilities of the SGA and also the viability of using the AC model to solve the STTNEP problem.
机译:本文通过专用遗传算法(SGA)解决了短期传输网络扩展规划(STTNEP)。使用传输网络的完整交流模型,这允许配方进行集成电力系统传输网络扩展规划问题(实际和无功率规划)。所提出的SGA解决STTNEP问题的特性是详细的,并且在SGA的解决方案步骤期间采用内部点方法来解决非线性编程问题。用两个电能系统进行的测试结果显示了SGA的能力以及使用AC模型解决STTNEP问题的可行性。

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