Photovoltaic production management in stochastic optimized microgrids
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DUMBRAVA, Virgil; LAZAROIU, George-Cristian; LEVA, Sonia; BALABAN, Georgiana; TELICEANU, Mihaela; TIRSHU, Mihai. Photovoltaic production management in stochastic optimized microgrids. In: UPB Scientific Bulletin, Series C: Electrical Engineering and Computer Science. 2017, nr. 1(79), pp. 225-244. ISSN 2286-3540.
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UPB Scientific Bulletin, Series C: Electrical Engineering and Computer Science
Numărul 1(79) / 2017 / ISSN 2286-3540

Photovoltaic production management in stochastic optimized microgrids


Pag. 225-244

Dumbrava Virgil1, Lazaroiu George-Cristian1, Leva Sonia2, Balaban Georgiana1, Teliceanu Mihaela1, Tirshu Mihai3
 
1 University Politehnica of Bucharest,
2 Politecnico di Milano,
3 Institute of Power Engineering of ASM
 
Disponibil în IBN: 14 decembrie 2018


Rezumat

The microgrids are composed of small scale fueled generation capacities, renewable energy sources, storage energy systems, controllable loads, and autonomously can connect or disconnect from the mains supply. The microgrids can operate connected to the upstream main grid, or in an islanded operation mode following a large perturbation in the upstream grid. The microgrid analyzed in this paper is composed of a photovoltaic system, a thermal engine, an electrochemical storage system, critical and interruptible loads. As backup generation is considered a classical generation engine and a small scale storage unit. The autonomous switching between grid-connected and islanding operation modes can occur, under an excess/deficit of generation and function of the electricity market price. The paper deals with an optimization model for minimizing the microgrid operation costs under intermittent generation and variable demand function of microgrid operation constrains. The optimization model is tested on a 24 hours horizon. The gridconnected optimized operation accounts also the exchanged power with the upstream grid function of the electricity price within the public network.

Cuvinte-cheie
Demand-response, Microgrids, optimization model, photovoltaic system, Renewable sources integration