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Mutation operator integrated ant colony optimization based domestic appliance scheduling for lucrative demand side management

机译：基于变异算子集成蚁群优化的家电调度，可获利的需求侧管理

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摘要

The unceasing growth of energy consumption demands has staggeringly broaden the gap between energy demand and supply during peak hours resulting a significant rise in the monetary value of grid electricity. Appliance scheduling with heuristic algorithms considered as a potential solution approach. Nevertheless, the plausibility of Ant Colony Optimization based scheduling has become controversial due to the tendency for premature convergence. Hence, herein we propose a mutation operator integrated ant colony optimization scheduling scheme with pre-defined consumption thresholds to minimize electricity cost and waiting time, while alleviating the disputed drawback of ant colony optimization. The proposed scheduling scheme was compared with existing ant colony optimization based energy management controller and obtained 5.44% reduction from total cost. Hence, comparative analysis confirms superiority of proposed work in terms of reducing cost, peak load, waiting time, and Peak-to-Average Ratio, affirming its potential to mainstream as a lucrative solution for demand side management problems. (C) 2019 Elsevier B.V. All rights reserved.
机译：能源消耗需求的不断增长极大地扩大了高峰时段能源需求与供应之间的差距，导致电网电力的货币价值显着上升。采用启发式算法的设备调度被认为是一种潜在的解决方案。然而，由于过早收敛的趋势，基于蚁群优化的调度的合理性已引起争议。因此，本文中我们提出了一种具有预先定义的消耗阈值的变异算子集成蚁群优化调度方案，以最小化电费和等待时间，同时减轻了蚁群优化的有争议的缺点。将提出的调度方案与现有的基于蚁群优化的能源管理控制器进行了比较，从总成本中减少了5.44％。因此，比较分析证实了拟议工作在降低成本，降低高峰负荷，等待时间和峰均比方面的优越性，从而肯定了其有望成为解决需求方管理问题的有利解决方案的主流。 （C）2019 Elsevier B.V.保留所有权利。

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