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A multi-objective multi-verse optimization algorithm for dynamic load dispatch problems

机译：一种用于动态负荷调度问题的多目标多韵优化算法

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In power system operation, optimal economic dispatch is imposed by the costs of increasing power generation, the increasing demand for electrical energy and the scarcity of energy resources. By satisfying all constraints, the most important thing is the economical load distribution in order to enable the generators used in the system to generate optimal power. The non-smooth cost function and emission with nonlinear constraints are the practical economic load dispatch issues that create a challenge that is effectively reduced. This paper presents a multi-objective multi-verse optimization scheme to minimize the dynamic economic load dispatch issue using valve-point effects. Along with all other necessary constraints, this algorithm preserves the ramp of unit required rate constraint. However, it maintains these limitations via the transaction duration to the next time horizon to eliminate the power system operation's discontinuity, not only for its time horizon. The objective of this method is by satisfying various operational constraints and the power generator has the load requirement along with the minimization of cost. The proposed algorithm is tested on two test systems by varying the generating units as 40, 80, and 160. Simulation results are performed under the MATLAB environment and, the acquired results are compared with many existing algorithms in terms of fuel cost, emission cost, and robustness. The proposed scheme is very encouraging and proves the effectiveness of solving various dynamic economical load dispatch problems depending on the numerical outcomes. (C) 2021 Elsevier B.V. All rights reserved.
机译：在电力系统运行中，最佳经济调度是由于发电增加，越来越多的电能需求和能源稀缺而施加。通过满足所有约束，最重要的是经济负载分布，以便使系统中使用的发电机能够产生最佳功率。非平滑的成本函数和非线性约束的发射是创造有效减少挑战的实用经济负荷发布问题。本文提出了一种多目标多韵的优化方案，以最大限度地减少使用阀点效应的动态经济负载调度问题。除了所有其他必要的约束之外，该算法保留了单位所需速率约束的斜坡。但是，它通过交易持续时间将这些限制保持在下一个时间范围内，以消除电力系统操作的不连续性，而不仅仅是为了其时间范围。该方法的目的是通过满足各种操作约束，发电机具有负载要求以及最小化成本。通过改变产生单元在两个测试系统上测试所提出的算法，例如80,80和160.模拟结果在MATLAB环境下进行，并且在燃料成本，发射成本方面与许多现有算法进行了仿真结果，和鲁棒性。拟议方案非常令人鼓舞，并证明根据数值结果解决各种动态经济负载调度问题的有效性。 （c）2021 elestvier b.v.保留所有权利。

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