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Improved time varying inertia weight PSO for solved economic load dispatch with subsidies and wind power effects

机译:改进的时变惯性权重PSO,通过补贴和风能效应解决了经济负荷分配问题

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This article presents a new approach to economic load dispatch (ELD) problems by the considering the cost functions, impact renewable energy as wind turbin and subsidies. Economic dispatch is the short-term determination of the optimal output of a number of electricity generation facilities, to meet the system load, at the lowest possible cost, subject to transmission and operational constraints. The main goal in the deregulated system is subsidies and analysis performance on government to minimize the total fuel cost while satisfying the load demand and operational constraints. The practical ELD problems have nonsmooth cost functions with equality and inequality constraints, which make the problem of finding the global optimum difficult when using any mathematical approaches. Accordingly, particle swarm optimization with time-varying inertia weight (PSO-TVIW) used for solving this problem. The effectiveness of the proposed strategy is applied over real-world engineering problem and highly constrained. Obtained results indicate that PSO-TVIW can successfully solve this problem. (c) 2014 Wiley Periodicals, Inc. Complexity 21: 40-49, 2016
机译:本文通过考虑成本函数,影响可再生能源作为风力涡轮机和补贴的方式,提出了一种解决经济负荷分配(ELD)问题的新方法。经济调度是短期内确定许多发电设施的最佳输出,以尽可能低的成本满足系统负荷,并受传输和操作约束的限制。放松管制的系统的主要目标是政府的补贴和分析性能,以在满足负荷需求和运营约束的同时,将总燃料成本降至最低。实际的ELD问题具有带有等价和不等式约束的不平稳的成本函数,这使得在使用任何数学方法时难以找到全局最优值的问题。因此,具有时变惯性权重(PSO-TVIW)的粒子群优化用于解决此问题。所提出的策略的有效性已应用于实际工程问题上,并且受到严格限制。所得结果表明,PSO-TVIW可以成功解决此问题。 (c)2014 Wiley Periodicals,Inc.复杂度21:40-49,2016

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