Game Theory and Pricing Strategies for Demand-Side Management in the Smart Grid

被引：0

作者：

Saghezchi, Firooz B. ^{[1
]}

Saghezchi, Fatemeh B. ^{[2
]}

Nascimento, Alberto ^{[1
,3
]}

Rodriguez, Jonathan ^{[1
]}

机构：

[1] Campus Univ Santiago, Inst Telecomunicacoes, P-3810193 Aveiro, Portugal

[2] Univ Aveiro, Dept Econ Gestao & Engn Ind, Aveiro, Portugal

[3] Univ Madeira, Funchal, Portugal

来源：

2014 9TH INTERNATIONAL SYMPOSIUM ON COMMUNICATION SYSTEMS, NETWORKS & DIGITAL SIGNAL PROCESSING (CSNDSP) | 2014年

关键词：

game theory; demand-side management; pricing strategy; PAR reduction; appliance scheduling; smart grid;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Demand-side management is an effective means to optimize resource utilization in the electricity grid. The smart grid can enable the utility company to shape the users consumption by adopting appropriate pricing strategies. Having received the price information, each user may independently schedule its appliances to minimize its electricity payment. In this paper, we consider a smart grid scenario with a single utility company and multiple users where the utility company adopts day-ahead pricing strategy. We formulate the problem as a binary linear programming problem. The simulation results show that users can reduce their bills by 25% using the proposed technique.

引用

页码：883 / 887

页数：5

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