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Investigations on Salp Swarm Algorithm to Solve Combined Heat and Power Economic Dispatch

机译:萨尔普斯群算法研究求解热量和权力经济调查

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Combined heat and power economic dispatch is an important optimization problem in a power system integrated with cogeneration units. In addition to the optimal solution satisfying the power balance equality constraint and the bounds of the thermal units, it must also lie within feasible operating region of the cogeneration units. This increases the complexity of the problem, and a potent meta-heuristic algorithm is required to solve the problem. This paper investigates the optimal solutions of the combined heat and power economic dispatch problem obtained by a recent meta-heuristic salp swarm algorithm. Transmission losses of the power system and valve point loading have been taken into consideration in this work. The algorithm is tested on standard test system available in literature. The results indicate there is scope for improvement of the salp swarm algorithm to solve combined heat and power economic dispatch problem.
机译:综合热量和权力经济调度是与热电联产单位集成的电力系统中的一个重要优化问题。除了满足功率平衡平等约束的最佳解决方案之外,它还必须位于热电联产单元的可行操作区域内。这增加了问题的复杂性,并且需要一种有效的元启发式算法来解决问题。本文调查了最近的Meta-heuristic Salp群算法获得的综合热量和功率经济调度问题的最佳解决方案。在这项工作中,已经考虑了电力系统和阀点装载的传输损耗。该算法在文献中的标准测试系统上进行了测试。结果表明SALP群算法改善了求解热量和权力经济调度问题的范围。

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