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A new gumption approach for economic dispatch problem with losses effect based on valve-point active power

机译:基于阀点有功功率的具有损失影响的经济调度问题的新改进方法

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摘要

Economic dispatch (ED) generally formulated as convex problem using optimization techniques. Various methods have previously been used for the solution of the problem. Among those Tabu search (TS), evolutionary programming (EP), and genetic algorithm (GA) are powerful methods but they are heuristic and do not always guarantee to achieve to global optimal solutions in finite time. They take longer time to converge to near optimal results. Reaching to the optimal solution faster depends on how the methods are programmed and applied. This paper proposes new simple approach to solve the economic dispatch problem with valve-point and losses effect. The proposed method is an optimization algorithm which minimizes the total cost of the plants and gives optimum generation schedule subject to the operating constrains of the system. It is based on valve-point active powers for different combinations of valve-points in all generation units. Three machines 6-bus system, 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 genetic algorithm (GA), hybrid genetic algorithm (HGA), and hybrid (H) method give significant improvements in the generation cost that confirm the applicability of the proposed method.
机译:通常使用优化技术将经济调度(ED)表示为凸问题。先前已经使用各种方法来解决该问题。在这些禁忌搜索(TS),进化规划(EP)和遗传算法(GA)中,它们是功能强大的方法,但它们具有启发性,并不能始终保证在有限的时间内达到全局最优解。他们需要更长的时间才能收敛到最佳结果。更快地达到最佳解决方案取决于方法的编程和应用方式。本文提出了一种新的简单方法来解决具有阀点效应和损失效应的经济调度问题。所提出的方法是一种优化算法,可将工厂的总成本降至最低,并根据系统的运行约束给出最佳发电计划。它基于所有发电单元中阀点的不同组合的阀点有功功率。已经对三台机器的6总线系统,IEEE 5机器的14总线系统和IEEE 6机器的30总线系统进行了测试,以验证我们的方法。与从遗传算法(GA),混合遗传算法(HGA)和混合(H)方法获得的结果相比,该方案的结果显着提高了发电成本,从而证实了该方法的适用性。

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