TY - GEN
T1 - Towards Prosumer Flexibility Markets
T2 - 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019
AU - Nalini, Babu Kumaran
AU - Eldakadosi, Mohamed
AU - You, Zhengjie
AU - Zade, Michel
AU - Tzscheutschler, Peter
AU - Wagner, Ulrich
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/9
Y1 - 2019/9
N2 - Increasing integration of renewables can cause congestion and power grid instability. Recent congestion management studies have shown the possibilities to offer flexibility with distributed energy resources (DERs) and the need for flexibility market platforms. This paper presents a flexibility model for a combination of photovoltaics and battery storage system. This model takes different forecast data as inputs and performs an optimization to obtain a cost optimal operational plan. Any deviation that a DER could offer from this optimal plan is considered as its flexibility potential. The model outputs a list of flexibility offers. In addition, this paper details the different possibilities of offering positive and negative flexibility with a novel offer pricing strategy. The model reoptimizes itself to a new optimal operation plan once a desired flexibility bid is chosen. Two case studies are discussed in this paper to substantiate the successful implementation.
AB - Increasing integration of renewables can cause congestion and power grid instability. Recent congestion management studies have shown the possibilities to offer flexibility with distributed energy resources (DERs) and the need for flexibility market platforms. This paper presents a flexibility model for a combination of photovoltaics and battery storage system. This model takes different forecast data as inputs and performs an optimization to obtain a cost optimal operational plan. Any deviation that a DER could offer from this optimal plan is considered as its flexibility potential. The model outputs a list of flexibility offers. In addition, this paper details the different possibilities of offering positive and negative flexibility with a novel offer pricing strategy. The model reoptimizes itself to a new optimal operation plan once a desired flexibility bid is chosen. Two case studies are discussed in this paper to substantiate the successful implementation.
KW - PV
KW - aggregators
KW - battery
KW - distributed energy resources
KW - energy management system
KW - flexibility markets
KW - prosumer
UR - http://www.scopus.com/inward/record.url?scp=85075898670&partnerID=8YFLogxK
U2 - 10.1109/ISGTEurope.2019.8905622
DO - 10.1109/ISGTEurope.2019.8905622
M3 - Conference contribution
AN - SCOPUS:85075898670
T3 - Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019
BT - Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 29 September 2019 through 2 October 2019
ER -
