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CONENE SIGNED

Control of Large-scale Stochastic Hybrid Systems for Stability of Power Grid with Renewable Energy

Total Cost €

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EC-Contrib. €

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Partnership

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Project "CONENE" data sheet

The following table provides information about the project.

Coordinator
EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH 

Organization address
address: Raemistrasse 101
city: ZUERICH
postcode: 8092
website: https://www.ethz.ch/de.html

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Switzerland [CH]
 Total cost 1˙346˙438 €
 EC max contribution 1˙346˙438 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2015-STG
 Funding Scheme ERC-STG
 Starting year 2016
 Duration (year-month-day) from 2016-04-01   to  2020-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH CH (ZUERICH) coordinator 1˙346˙438.00

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 Project objective

The increasing uptake of renewable energy sources and liberalization of electricity markets are significantly changing power system operations. To ensure stability of the grid, it is critical to develop provably safe feedback control algorithms that take into account uncertainties in the output of weather-based renewable generation and in participation of distributed producers and consumers in electricity markets. The focus of this proposal is to develop the theory and algorithms for control of large-scale stochastic hybrid systems in order to guarantee safe and efficient grid operations. Stochastic hybrid systems are a powerful modeling framework. They capture uncertainties in the output of weather-based renewable generation as well as complex hybrid state interactions arising from discrete-valued network topologies with continuous-valued voltages and frequencies. The problems of stability and efficiency of the grid in the face of its changes will be formulated as safety and optimal control problems for stochastic hybrid systems. Using recent advances in numerical optimization and statistics, provably safe and scalable numerical algorithms for control of this class of systems will be developed. These algorithms will be implemented and validated on realistic power grid simulation platforms and will take advantage of recent advances in sensing, control and communication technologies for the grid. The end outcome of the project is better quantifying and controlling effects of increased uncertainties on the stability of the grid. The societal and economic implications of this study are tied with the value and price of a secure power grid. Addressing the questions formulated in this proposal will bring the EU closer to its ambitious renewable energy goals.

 Publications

year authors and title journal last update
List of publications.
2017 T. Tatarenko, M. Kamgarpour
Payoff-based Approach to Learning Nash Equilibria in Convex Games
published pages: , ISSN: , DOI:
IFAC World Congress on Control 2019-06-19
2017 L. Furieri, M. Kamgarpour
Robust Control of Constrained Systems given an Information Structure
published pages: , ISSN: , DOI:
Proceedings of the IEEE Conference on Decision and Control (to appear) 2019-06-19
2017 O. Karaca, M. Kamgarpour
Game Theoretic Analysis of Electricity Market Auction Mechanisms
published pages: , ISSN: , DOI:
Proceedings of the IEEE Conference on Decision and Control (to appear) 2019-06-19
2018 F. Rey, X. Zhang, S. Merkli, V. Agliati, M. Kamgarpour, J. Lygeros
Strengthening the Group - Aggregated Frequency Reserve Bidding with ADMM
published pages: , ISSN: 1949-3053, DOI:
IEEE Transactions on Smart Grid 2019-06-19
2018 O. Karaca, M. Kamgarpour
Exploiting weak supermodularity for coalition-proof mechanisms
published pages: , ISSN: , DOI:
IEEE Conference on Decision and Control 2019-06-19
2018 Tatiana Tatarenko, Maryam Kamgarpour
Learning Generalized Nash Equilibria in a Class of Convex Games
published pages: 1-1, ISSN: 0018-9286, DOI: 10.1109/TAC.2018.2841319
IEEE Transactions on Automatic Control 2019-06-19
2018 L. Furieri, M. Kamgarpour
Robust Distributed Controllers Beyond Quadratic Invariance
published pages: , ISSN: , DOI:
IEEE Conference on Decision and Control 2019-06-19
2017 T. Summers, N. Li, M. Kamgarpour
Information Structure Design in Team Decision Problems
published pages: , ISSN: , DOI:
IFAC World Congress on Automatic Control 2019-06-19
2018 Y. Zheng, M. Kamgarpour, A. Sootla, A. Papachristodoulou
Scalable analysis of linear networked systems via chordal decomposition
published pages: , ISSN: , DOI:
2019-06-19
2018 A. Elahidoost, L. Furieri, M. Kamgarpour, E. Tedeschi
Optimizing HVDC grid expansion and control for enhancing DC stability
published pages: , ISSN: , DOI:
Power Systems Computation and Control (PSCC) to appear 2019-06-19
2018 B. Gentile, F. Parise, D. Paccagnan, M. Kamgarpour, J. Lygeros
Nash and Wardrop equilibria in aggregative games with coupling constraints
published pages: , ISSN: 0018-9286, DOI:
IEEE Transactions on Automatic Control 2019-06-19
2017 P. G. Sessa, N. Walton, M. Kamgarpour
The Vickrey-Clarke-Groves mechanism for electricity markets
published pages: , ISSN: , DOI:
Proceedings of the IFAC World Congress Toulouse 50(1):189-194 2019-06-19
2018 A. Elahidoost, L. Furieri, M. Kamgarpour, E. Tedeschi
Reducing HVDC Network Oscillations Considering Wind Intermittency in View of Grid Expansion Decision
published pages: , ISSN: , DOI:
Proceedings of IEEE Energy Conversion and Exposition 2019-06-19

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