A platform for research: civil engineering, architecture and urbanism
Model for the integration of distributed energy resources in energy markets by an aggregator
The increase of distributed energy resources in energy systems and current legislation concerning the participation in energy markets, is causing a high wasted potential of energy supply and flexibility services. In this paper, it is proposed a methodology for the management and integration of distributed energy resources in energy systems and markets, through the application of an aggregator. Also, the aggregator provides demand response programs based on tariffs, thus enabling different types of participations. Aggregation is performed using K-Means clustering algorithm, and serves as basis for remuneration, where the aggregated energy and cost of resources is obtained. Given this methodology, the aggregator obtains the energy available and the minimum sell cost to negotiate in market, with the intent of obtaining profit in its operation. The methodology is validated through a case study, with 20 consumers and 25 distributed generators. ; This work has received funding from the following projects: NETEFFICITY Project (ANI | P2020 – 18015); and from FEDER Funds through COMPETE program and from National Funds through FCT under the project UID/EEA/00760/2013.
Model for the integration of distributed energy resources in energy markets by an aggregator
The increase of distributed energy resources in energy systems and current legislation concerning the participation in energy markets, is causing a high wasted potential of energy supply and flexibility services. In this paper, it is proposed a methodology for the management and integration of distributed energy resources in energy systems and markets, through the application of an aggregator. Also, the aggregator provides demand response programs based on tariffs, thus enabling different types of participations. Aggregation is performed using K-Means clustering algorithm, and serves as basis for remuneration, where the aggregated energy and cost of resources is obtained. Given this methodology, the aggregator obtains the energy available and the minimum sell cost to negotiate in market, with the intent of obtaining profit in its operation. The methodology is validated through a case study, with 20 consumers and 25 distributed generators. ; This work has received funding from the following projects: NETEFFICITY Project (ANI | P2020 – 18015); and from FEDER Funds through COMPETE program and from National Funds through FCT under the project UID/EEA/00760/2013.
Model for the integration of distributed energy resources in energy markets by an aggregator
João Spínola (author) / Pedro Faria (author) / Zita Vale (author)
2017-07-20
Conference paper
Electronic Resource
English
DDC:
690
Model for the integration of distributed energy resources in energy markets by an aggregator
BASE | 2017
|Optimal Rescheduling of Distributed Energy Resources Managed by an Aggregator
BASE | 2017
|Optimal Rescheduling of Distributed Energy Resources Managed by an Aggregator
BASE | 2017
|DOAJ | 2022
|