A Two-stage Stochastic Programming DSO Framework for Comprehensive Market Participation of DER Aggregators under Uncertainty

Mohammad Mousavi; Meng Wu

doi:10.1109/NAPS50074.2021.9449806

A Two-stage Stochastic Programming DSO Framework for Comprehensive Market Participation of DER Aggregators under Uncertainty

Mohammad Mousavi, Meng Wu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

In this paper, a distribution system operator (DSO) framework is proposed for comprehensive retail and wholesale markets participation of distributed energy resource (DER) aggregators under uncertainty based on two-stage stochastic programming. Different kinds of DER aggregators including energy storage aggregators (ESAGs), demand response aggregators (DRAGs), electric vehicle (EV) aggregating charging stations (EVCSs), dispatchable distributed generation (DDG) aggregators (DDGAGs), and renewable energy aggregators (REAGs) are modeled. Distribution network operation constraints are considered using a linearized power flow. The problem is modeled using mixed-integer linear programming (MILP) which can be solved by using commercial solvers. Case studies are conducted to investigate the performance of the proposed DSO framework.

Original language	English (US)
Title of host publication	2020 52nd North American Power Symposium, NAPS 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728181929
DOIs	https://doi.org/10.1109/NAPS50074.2021.9449806
State	Published - Apr 11 2021
Event	52nd North American Power Symposium, NAPS 2020 - Tempe, United States Duration: Apr 11 2021 → Apr 13 2021

Publication series

Name	2020 52nd North American Power Symposium, NAPS 2020

Conference

Conference	52nd North American Power Symposium, NAPS 2020
Country/Territory	United States
City	Tempe
Period	4/11/21 → 4/13/21

ASJC Scopus subject areas

Energy Engineering and Power Technology
Control and Systems Engineering
Electrical and Electronic Engineering
Safety, Risk, Reliability and Quality
Hardware and Architecture
Computer Networks and Communications

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10.1109/NAPS50074.2021.9449806

Cite this

Mousavi, M., & Wu, M. (2021). A Two-stage Stochastic Programming DSO Framework for Comprehensive Market Participation of DER Aggregators under Uncertainty. In 2020 52nd North American Power Symposium, NAPS 2020 Article 9449806 (2020 52nd North American Power Symposium, NAPS 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NAPS50074.2021.9449806

A Two-stage Stochastic Programming DSO Framework for Comprehensive Market Participation of DER Aggregators under Uncertainty. / Mousavi, Mohammad; Wu, Meng.
2020 52nd North American Power Symposium, NAPS 2020. Institute of Electrical and Electronics Engineers Inc., 2021. 9449806 (2020 52nd North American Power Symposium, NAPS 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Mousavi, M & Wu, M 2021, A Two-stage Stochastic Programming DSO Framework for Comprehensive Market Participation of DER Aggregators under Uncertainty. in 2020 52nd North American Power Symposium, NAPS 2020., 9449806, 2020 52nd North American Power Symposium, NAPS 2020, Institute of Electrical and Electronics Engineers Inc., 52nd North American Power Symposium, NAPS 2020, Tempe, United States, 4/11/21. https://doi.org/10.1109/NAPS50074.2021.9449806

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A Two-stage Stochastic Programming DSO Framework for Comprehensive Market Participation of DER Aggregators under Uncertainty

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