基于不同运行时间间隔的大象羊群优化算法在智能电网中的应用

2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA) Pub Date : 2018-05-16 DOI:10.1109/WAINA.2018.00093

Syed Muhammad Mohsin, N. Javaid, S. Madani, Syed Muhammad Abrar Akber, Sohaib Manzoor, Javed Ahmad

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引用次数: 4

摘要

需求侧管理(DSM)是智能电网领域应用于家庭能源管理和电力供需平衡的策略。学术界针对HEM提出了许多优化技术。在本研究中，我们采用象群优化(EHO)技术来实现成本、PAR和等待时间最小化以及用户舒适度最大化四个目标。EHO采用三种不同的操作时间间隔(OTIs)，即05分钟、30分钟和60分钟。仿真结果表明，EHO的性能明显优于非调度情况，较短OTI的EHO效率也优于较长的OTI。

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Implementing Elephant Herding Optimization Algorithm with different Operation Time Intervals for Appliance Scheduling in Smart Grid

Demand Side Management (DSM) is the strategy applied in smart grid domain for Home Energy Management (HEM) and balancing of electricity demand and supply. Numerous optimization techniques have been proposed by research community for HEM. In this study, we have implemented Elephant Herding Optimization (EHO) technique to achieve four objectives: cost, PAR and waiting time minimization with user comfort maximization. EHO has been implemented with three different Operation Time Intervals (OTIs) i.e., 05, 30 and 60 minutes. Simulation results showed that EHO performed much better than un-schedule case and EHO efficiency for shorter OTI is also better than longer OTIs.

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2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)

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