Short-Term Hydrothermal Scheduling Using Gray Wolf Optimization

被引：4

作者：

Sharma, Khushboo ^{[1
]}

Dubey, Hari Mohan ^{[1
]}

Pandit, Manjaree ^{[1
]}

机构：

[1] Madhav Inst Sci & Technol, Gwalior, Madhya Pradesh, India

来源：

ADVANCES IN COMPUTING AND INTELLIGENT SYSTEMS, ICACM 2019 | 2020年

关键词：

Short-term hydrothermal scheduling; Valve point effect; Prohibited discharge zone; DIFFERENTIAL EVOLUTION; ALGORITHM; HYBRID;

D O I：

10.1007/978-981-15-0222-4_22

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a new nature-inspired meta-heuristic called gray wolf optimization (GWO), is implemented for solution of short-term hydrothermal scheduling (STHTS) problems. The analytical model of GWO is based on the rigors social hierarchy and hunting procedure of gray wolves by their unique three steps: searching for prey, encircling of prey, and attacking of prey. GWO has been implemented and tested on two different types of complex constrained STHTS problems. To confirm the superiority and efficacy of GWO, the comparison of simulation results are also made with other recent reported methods available in literature.

引用

页码：253 / 269

页数：17

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