Pigeon Inspired Optimization and Enhanced Differential Evolution in Smart Grid Using Critical Peak Pricing

被引：4

作者：

Amjad, Zunaira ^{[1
]}

Batool, Saadia ^{[1
]}

Arshad, Hafsa ^{[1
]}

Parvez, Komal ^{[1
]}

Farooqi, Mashab ^{[1
]}

Javaid, Nadeem ^{[1
]}

机构：

[1] COMSATS Inst Informat Technol, Islamabad 44000, Pakistan

来源：

ADVANCES IN INTELLIGENT NETWORKING AND COLLABORATIVE SYSTEMS, INCOS-2017 | 2018年 / 8卷

关键词：

DEMAND-SIDE MANAGEMENT; HOMES; BUILDINGS; ALGORITHM; FUTURE;

D O I：

10.1007/978-3-319-65636-6_45

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, we have evaluated the performance of heuristic algorithms; Enhanced Differential Evolutionary (EDE) and Pigeon Inspired Optimization(PIO) for Demand Side Management (DSM). Moreover, Critical Peak Pricing (CPP) is used as a price traffic. The main purpose of this paper is to reduce Peak to Average Ratio (PAR) and electricity cost by scheduling appliances according to categories and constraints. Simulation results demonstrate that PIO outperforms in terms of user comfort.

引用

页码：505 / 514

页数：10

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