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Risk-mitigated optimal power flow for wind powered grids
KTH, School of Electrical Engineering (EES).ORCID iD: 0000-0001-8975-1801
2012 (English)In: 2012 American Control Conference (ACC), IEEE Computer Society, 2012, 4431-4437 p.Conference paper (Refereed)
Abstract [en]

Increased penetration of renewable energy sources poses new challenges to the power grid. Grid integrated energy storage combined with fast-ramping conventional generation can help to address challenges associated with power output variability. This paper proposes a risk mitigating optimal power flow (OPF) framework to study the dispatch and placement of energy storage units in a power system with wind generators that are supplemented by fast-ramping conventional back-up generators. This OPF with storage charge/discharge dynamics is solved as a finite-horizon optimal control problem. Chance constraints are used to implement the risk mitigation strategy. The model is applied to case studies based on the IEEE 14 bus benchmark system. First, we study the scheduling of spinning reserves and storage when generation and loads are subject to uncertainties. The framework is then extended to investigate the optimal placement of storage across different network topologies. The results of the case studies quantify the need for storage and reserves as well as suggest a strategy for their scheduling and placement.

Place, publisher, year, edition, pages
IEEE Computer Society, 2012. 4431-4437 p.
, Proceedings of the American Control Conference, ISSN 0743-1619
Keyword [en]
Back-up generators, Benchmark system, Chance constraint, Conventional generation, Energy storage unit, Fast-ramping, Network topology, Optimal control problem, Optimal placements, Optimal power flows, Power grids, Power out put, Renewable energy source, Risk mitigating, Risk mitigation strategy, Spinning reserves, Storage charges, Wind generator systems, Acoustic generators, Electric network topology, Energy storage, Optimal control systems, Renewable energy resources, Scheduling, Electric load flow
National Category
Engineering and Technology
URN: urn:nbn:se:kth:diva-108018ISI: 000310776204119ScopusID: 2-s2.0-84869442174ISBN: 978-145771095-7OAI: diva2:580195
2012 American Control Conference, ACC 2012, 27 June 2012 through 29 June 2012, Montreal, QC

QC 20121221

Available from: 2012-12-21 Created: 2012-12-19 Last updated: 2013-01-14Bibliographically approved

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