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首页> 外文期刊>International journal of electrical power and energy systems >An improved GSO method for discontinuous non-convex transient stability constrained optimal power flow with complex system model
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An improved GSO method for discontinuous non-convex transient stability constrained optimal power flow with complex system model

机译:具有复杂系统模型的非连续非凸暂态稳定约束最优潮流的改进GSO方法

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摘要

Transient stability constrained optimal power flow (TSCOPF) is an important tool for power system planning and operation. In the paper, a discontinuous non-convex TSCOPF model with many minima is proposed to fully consider the generation valve-point effects and prohibited operation zones (POZs). Though the model is hard, it is general and flexible not only to accommodate any complex system components and discrete control variables, but also to be solved with any state of the art heuristic solution methods. Furthermore, an improved Group Search Optimization (IGSO) algorithm based on backward searching strategy, Cauchy mutation and inheritance operator is tailored to solve this challenging discontinuous non-convex problem. Four comprehensive case studies on the WSCC 9-bus system, New England 39-bus system, and IEEE 145-bus system have confirmed the validity of proposed discontinuous non-convex TSCOPF model and the outperformance of IGSO solution method compared with seven representative artificial intelligence algorithms.
机译:暂态稳定约束最优潮流(TSCOPF)是电力系统规划和运行的重要工具。在本文中,提出了一个具有很多极小值的不连续非凸TSCOPF模型,以充分考虑发电阀点效应和禁止运行区域(POZ)。尽管该模型很困难,但它既通用又灵活,不仅可以容纳任何复杂的系统组件和离散的控制变量,而且可以通过任何现有的启发式求解方法来求解。此外,基于反向搜索策略,柯西突变和继承算子的改进的组搜索优化(IGSO)算法被量身定制,以解决这一具有挑战性的不连续非凸问题。在WSCC 9总线系统,新英格兰39总线系统和IEEE 145总线系统上进行的四个全面案例研究已经证实了所提出的不连续非凸TSCOPF模型的有效性以及IGSO解决方案方法的性能优于七个代表性的人工智能算法。

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