Rating the Participation in Demand Response Programs for a More Accurate Aggregated Schedule of Consumers after Enrolment Period

Cátia Silva,Pedro Faria,Zita Vale

doi:10.3390/electronics9020349

Cátia Silva, Pedro Faria + Show 1 more

Open Access

https://doi.org/10.3390/electronics9020349

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Journal: Electronics	Publication Date: Feb 19, 2020
Citations: 13	License type: CC BY 4.0

Affiliation: Polytechnic Institute of Porto

Abstract

Aggregation of small size consumers and Distributed Generation (DG) units have a considerable impact to catch the full flexibility potential, in the context of Demand Response programs. New incentive mechanisms are needed to remunerate consumers adequately and to recognize the ones that have more reliable participation. The authors propose an innovative approach to be used in the operation phase, to deal with the uncertainty to Demand Response events, where a certain target is requested for an energy community managed by the Aggregator. The innovative content deals with assigning and updating a Reliability Rate to each consumer according to the actual response in a reduction request. Three distinct methods have been implemented and compared. The initial rates assigned according to participation in the Demand Response events after one month of the enrolment period and the ones with higher reliability follow scheduling, performed using linear optimization. The results prove that using the proposed approach, the energy community manager finds the more reliable consumers in each period, and the reduction target achieved in DR events. A clustering algorithm is implemented to determine the final consumer rate for one month considering the centroid value.

Highlights

The energy sector is facing challenges due to the need for more efficiency in energy usage.More reliable and efficient energy networks and markets are desired, empowering players, enabling bidirectional communication, and finding solutions to replace fossil fuels [1,2,3]
Directive 2003/54/EC and Directive 2009/72/EC contributed to the conception of the electricity market as it is currently but, with these new challenges coming from Smart Grids concept introduction, several updates must be done, namely regarding the consumers’ role [5,6]
The current section shows a comparison between three methods and the analysis done to understand the behaviour of the consumers over a month regarding the uncertainty of their participation in the management of the community

Summary

Introduction

The energy sector is facing challenges due to the need for more efficiency in energy usage.More reliable and efficient energy networks and markets are desired, empowering players, enabling bidirectional communication, and finding solutions to replace fossil fuels [1,2,3]. Directive 2019/944 [4] defines DR as "the change of electricity load by final customers from their normal or current consumption patterns in response to market signals, including in response to time-variable electricity prices or incentive payments, or in response to the acceptance of the final customer’s bid to dell demand reduction or increase at a price in an organized market". This directive’s primary goal will be finding a way to overcome existing obstacles to the completion of the internal electricity market.

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