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首页> 外文期刊>International review of electrical engineering >A Multi Objective Framework for Solving Economic Load Dispatch Problem Including Stochastic Nature of Wind Power
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A Multi Objective Framework for Solving Economic Load Dispatch Problem Including Stochastic Nature of Wind Power

机译:解决包括风能随机性在内的经济负荷分配问题的多目标框架

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摘要

With increasing concern of environmental protection and economic considerations, Wind energy has drawn much attention recently due to its high benefits to the reduction of emissions and reduction of dependency on fossil fuels. In this paper, a load dispatch model is developed for the system consisting of both thermal generators and wind turbine by GAMS Software and the recently introduced optimization strategy, Imperialist Competitive Algorithm (ICA). In addition, transmission loss is considered which approximate the system losses as a quadratic function of the real power generation with B-losses coefficients. To better represent the conditions in real power systems, the cost of modern thermal units with multiple valves is considered. For solving optimization problems, when the statistical data is not enough to support stochastic optimization, scenario analysis is one of the common methods. The performance of the proposed method is demonstrated by applying it to a 30-bus system.The total results show that ICA is a powerful and reliable tool for solving complex optimization problems. Comparison of results with those of other methods proves the effectiveness of the proposed method with regards to minimizing both the total cost and execution time.
机译:随着对环境保护和经济考虑的日益关注,风能由于其在减少排放和减少对化石燃料的依赖方面的高收益而受到了最近的关注。在本文中,通过GAMS软件开发了一个由热力发电机和风力涡轮机组成的系统的负荷分配模型,以及最近推出的优化策略-帝国主义竞争算法(ICA)。另外,考虑了传输损耗,该损耗将系统损耗近似为具有B损耗系数的实际发电量的二次函数。为了更好地表示实际电力系统中的条件,考虑了具有多个阀的现代热力单元的成本。为了解决优化问题,当统计数据不足以支持随机优化时,情景分析是常见的方法之一。通过将其应用到30总线系统中,证明了该方法的性能。总体结果表明,ICA是解决复杂优化问题的强大而可靠的工具。将结果与其他方法的结果进行比较,证明了该方法在最小化总成本和执行时间方面的有效性。

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