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The exchange market algorithm with smart searching for solving economic dispatch problems

机译：智能搜索的交易市场算法解决经济调度问题

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This paper introduces the exchange market algorithm with smart searching (EMA-SS) for solving optimization problems in which a penalty factor has been embedded. The EMA-SS is a special version of the exchange market algorithm that imposes restrictions on the market and therefore asks shareholders to select shares with the total amount required. The need for a penalty factor is obviated resulting in a reduced search space and thus the ability of the algorithm to find an optimum point is increased. A penalty factor is used in solving the economic dispatch of a thermal generating unit problem where the total output power equates load demand and power loss. In this paper, the convex and non-convex economic dispatch of thermal generating units is optimized using the EMA-SS in large power systems with dimensions of 15,20,38,40 and 140 units considering network losses, the equality and inequality constraints of the system, ramp rate limits, valve-point effects and prohibited operation zones. The obtained results are compared with those of the EMA and several robust and efficient techniques that use a penalty factor. The results of the EMA-SS verify its efficacy in solving economic dispatch problems in comparison with other methods.
机译：本文介绍了一种具有智能搜索的交易所市场算法（EMA-SS），用于解决嵌入了惩罚因子的优化问题。 EMA-SS是交易所市场算法的特殊版本，它对市场施加了限制，因此要求股东选择所需总数的股票。消除了对惩罚因子的需求，从而减小了搜索空间，并因此提高了算法找到最佳点的能力。惩罚因子用于解决热力发电机组问题的经济分配，其中总输出功率等于负载需求和功率损耗。在本文中，在大型电力系统中使用EMA-SS优化了火电机组的有凸和无凸经济调度，考虑电网损耗，等式和不等式约束，大型电力系统的尺寸分别为15、20、38、40和140系统，斜率限制，阀点影响和禁止的操作区域。将获得的结果与EMA的结果以及使用惩罚因子的几种可靠有效的技术进行比较。与其他方法相比，EMA-SS的结果证明了其在解决经济调度问题方面的功效。

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