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

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.

Automated summary

This paper discusses the issue of improving the efficiency and reducing the cost of electricity utilization from the perspective of Demand Side Management (DSM), and proposes an implementation of an incentive-based demand response program that is fully parameterized and explicitly constrained. The program uses the Particle Swarm Optimization algorithm and demonstrates the potential benefits of integrating Renewable Energy Sources (RES).