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

Descrizione del progetto

Nuovi algoritmi di controllo numerico per sistemi stocastici ibridi volti a bilanciare la rete

Il crescente contributo apportato dalle fonti di energia rinnovabile alla rete porta con sé incertezze associate alle condizioni meteorologiche, nonché alla generazione e al consumo distribuiti. Gli algoritmi di controllo devono tenere conto di tutte queste variabili, combinando topologie di rete a valore discreto con tensioni e frequenze a valore continuo e includendo fenomeni probabilistici, il che rappresenta la definizione di sistemi stocastici ibridi. Il progetto CONENE, finanziato dal CER, sfrutterà la teoria dei sistemi stocastici ibridi per modellare la rete e migliorare la stabilità. Il team svilupperà algoritmi di controllo numerico sicuri e scalabili per sistemi stocastici ibridi basandosi sui recenti progressi compiuti nel campo dell’ottimizzazione numerica e della statistica, implementandoli e convalidandoli successivamente su piattaforme realistiche di simulazione della rete elettrica.

Obiettivo

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.

Meccanismo di finanziamento

ERC-STG - Starting Grant

Istituzione ospitante

EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Contribution nette de l'UE
€ 1 346 438,00
Indirizzo
Raemistrasse 101
8092 Zuerich
Svizzera

Mostra sulla mappa

Regione
Schweiz/Suisse/Svizzera Zürich Zürich
Tipo di attività
Higher or Secondary Education Establishments
Collegamenti
Costo totale
€ 1 346 438,00

Beneficiari (1)