Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Demand Response Programs Design and Use Considering Intensive Penetration of Distributed Generation
Further improvements in demand response programs implementation are needed in order to take full advantage of this resource, namely for the participation in energy and reserve market products, requiring adequate aggregation and remuneration of small size resources. The present paper focuses on SPIDER, a demand response simulation that has been improved in order to simulate demand response, including realistic power system simulation. For illustration of the simulator’s capabilities, the present paper is proposes a methodology focusing on the aggregation of consumers and generators, providing adequate tolls for the demand response program’s adoption by evolved players. The methodology proposed in the present paper focuses on a Virtual Power Player that manages and aggregates the available demand response and distributed generation resources in order to satisfy the required electrical energy demand and reserve. The aggregation of resources is addressed by the use of clustering algorithms, and operation costs for the VPP are minimized. The presented case study is based on a set of 32 consumers and 66 distributed generation units, running on 180 distinct operation scenarios.
Demand Response Programs Design and Use Considering Intensive Penetration of Distributed Generation
Further improvements in demand response programs implementation are needed in order to take full advantage of this resource, namely for the participation in energy and reserve market products, requiring adequate aggregation and remuneration of small size resources. The present paper focuses on SPIDER, a demand response simulation that has been improved in order to simulate demand response, including realistic power system simulation. For illustration of the simulator’s capabilities, the present paper is proposes a methodology focusing on the aggregation of consumers and generators, providing adequate tolls for the demand response program’s adoption by evolved players. The methodology proposed in the present paper focuses on a Virtual Power Player that manages and aggregates the available demand response and distributed generation resources in order to satisfy the required electrical energy demand and reserve. The aggregation of resources is addressed by the use of clustering algorithms, and operation costs for the VPP are minimized. The presented case study is based on a set of 32 consumers and 66 distributed generation units, running on 180 distinct operation scenarios.
Demand Response Programs Design and Use Considering Intensive Penetration of Distributed Generation
Faria, Pedro (Autor:in) / Vale, Zita (Autor:in) / Baptista, José (Autor:in)
01.06.2015
doi:10.3390/en8066230
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
DDC:
690
Stochastic optimization for retailers with distributed wind generation considering demand response
DOAJ | 2018
|Smart microgrid operational planning considering multiple demand response programs
American Institute of Physics | 2014
|Demand response method for smart microgrids considering high renewable energies penetration
BASE | 2020
|BASE | 2019
|BASE | 2019
|