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An incentive-based implementation of demand side management in power systems

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Autore
Laitsos V.M., Bargiotas D., Daskalopulu A., Arvanitidis A.I., Tsoukalas L.H.
Data
2021
Language
en
DOI
10.3390/en14237994
Soggetto
Constrained optimization
Curve fitting
Demand side management
Electric power transmission networks
Electric utilities
Environmental protection
Particle swarm optimization (PSO)
Renewable energy resources
Smart power grids
Sustainable development
Demand response
Energy systems
Environment friendly
European levels
Growing demand
Power
Renewable energy source
Research interests
Run counters
Smart grid energy system
Energy efficiency
MDPI
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Abstract
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. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
URI
http://hdl.handle.net/11615/75635
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  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ. [19735]

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