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A new hybrid approach for the solution of nonconvex economic dispatch problem with valve-point effects

机译：具有阀点效应的非凸型经济调度问题的混合求解新方法

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摘要

Economic dispatch (ED) generally formulated as convex problem using optimization techniques by approximating generator input/output characteristic curves of monotonically increasing nature results in an inaccurate dispatch. The genetic algorithm has previously been used for the solution of problem for economic dispatch but takes longer time to converge to near optimal results. The hybrid approach is one of the methodologies used to fine tune the near optimal results produced by GA. This paper proposes new hybrid approach to solve the ED problem by using the valve-point effect. The approach we propose combines the genetic algorithm (GA) with active power optimization (APO) based on the Newton's second order approach (NSO). The genetic algorithm acts as a global optimizer giving near optimal generation schedule, which becomes the input for generation buses in APO algorithm. This algorithm acting as local search technique dispatching the generated active power of units for minimization of cost and gives optimum generation schedule. Three machines 6-bus, IEEE 5-machines 14-bus, and IEEE 6-mchines 30-bus systems have been tested for validation of our approach. Results of the proposed scheme compared with results obtained from GA alone give significant improvements in the generation cost showing the promise of the proposed approach.
机译：经济调度（ED）通常使用优化技术通过将发电机输入/输出特性曲线近似为单调递增的性质来表达为凸问题，从而导致调度不准确。遗传算法先前已用于解决经济调度问题，但需要较长时间才能收敛到接近最佳结果。混合方法是用于微调GA产生的接近最佳结果的方法之一。本文提出了一种新的混合方法，通过使用阀点效应来解决ED问题。我们提出的方法结合了基于牛顿二阶方法（NSO）的遗传算法（GA）和有功功率优化（APO）。遗传算法充当全局优化器，给出接近最佳的发电计划，这成为APO算法中发电总线的输入。该算法用作本地搜索技术，可调度单元的发电有功功率，以最大程度地降低成本，并给出最佳发电计划。已经对三台机器的6总线，IEEE 5机器的14总线和IEEE 6机器的30总线系统进行了测试，以验证我们的方法。与仅从遗传算法获得的结果相比，拟议方案的结果显着改善了发电成本，显示了拟议方法的前景。

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