An Incentive-Based Implementation of Demand Side Management in Power Systems

Energies

Dimitrios Bargiotas¹  Aspassia Daskalopulu¹  Vasileios M. Laitsos¹  Athanasios Ioannis Arvanitidis¹  Lefteri H. Tsoukalas² 

[1] Department of Electrical and Computer Engineering, University of Thessaly, 38334 Volos, Greece;School of Nuclear Engineering, Purdue University, West Lafayette, IN 47907, USA;

关键词: demand side management;    Demand Response;    smart grid energy system;    particle swarm optimization;    energy efficiency;   

DOI  :  10.3390/en14237994

来源: DOAJ

【 摘 要 】

The growing demand for electricity runs counter to European-level goals, which include activities aimed at sustainable development and environmental protection. In this context, efficient consumption of electricity attracts much research interest nowadays. One environment friendly solution to meet increased demand lies in the deployment of Renewable Energy Sources (RES) in the network and in mobilizing the active participation of consumers in reducing the peak of demand, thus smoothing the overall load curve. This paper addresses the issue of efficient and economical use of electricity from the Demand Side Management (DSM) perspective and presents an implementation of a fully-parameterized and explicitly constrained incentive-based demand response program The program uses the Particle Swarm Optimization algorithm and demonstrates the potential advantages of integrating RES while supporting two-way communication between energy production and consumption and two-way power exchange between the main grid and the RES.

【 授权许可】

Unknown