Abstract

Demand response (DR) and its advantages are nowadays unquestionable due to the success of several recent implementations of DR programs. Improved methodologies and approaches are needed for the adequate consumers’ schedule in DR events, taking the consumers’ behaviour and preferences into account. In this paper, a virtual power player manages DR programs, minimizing operation costs, respecting the consumption shifting constraints. The impact of the consumption shifting in the target periods is taken into consideration. The advantages of the DR use in comparison with distributed generation (DG) are evaluated. Two scenarios based on 218 consumers in a frame of 96 periods have been implemented. It is demonstrated the advantages of DR in the operation of distributed energy resources, namely when considering the lack of supply.

Highlights

  • The definition of demand response includes the changes in the consumption in response to variations in the electricity price, or to incentives applied in cases of high market prices or when the system reliability needs improvement [1]

  • Demand response is a very valuable resource for future power systems, which will be focused on renewables and other distributed resources

  • Demand response (DR) is able to improve and increase the accommodation of distributed energy resources based on renewables

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Summary

Introduction

The definition of demand response includes the changes in the consumption in response to variations in the electricity price, or to incentives applied in cases of high market prices or when the system reliability needs improvement [1]. It is necessary to consider all the resources providing demand response, including the small size ones in order to catch the full potential and competitiveness of flexible loads [5,6,7]. Virtual power players (VPPs) appeared in the new context of power systems operation, aggregating small size resources. A VPP can aggregate demand response and distributed generation (DG) resources, and manage the distribution network [6,11].

Related Work and Contribution
Optimization of Resource
Results
Motivation
Resource’s Schedule in Scenario ScenA
Resources’
Resources’ Schedule in Scenario ScenB
Schedule
VPP Operation Costs and DR Price Sensitivity Analysis
Resources
10. Remuneration
11. Sensitivity concerning VPP
Conclusions
Full Text
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