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Open AccessArticle

A Horizon Optimization Control Framework for the Coordinated Operation of Multiple Distributed Energy Resources in Low Voltage Distribution Networks

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Efacec, Division of Smart Grids, 4471-907 Porto, Portugal
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Efacec, Division of Storage, 4471-907 Porto, Portugal
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Efacec, Division of T&I, 4466-952 Porto, Portugal
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Faculty of Engineering (FEUP), University of Porto, 4200-465 Porto, Portugal
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Author to whom correspondence should be addressed.
Current address: Via de Francisco Sá Carneiro Apartado 3078, 4471-907 Moreira da Maia, Porto, Portugal.
Energies 2019, 12(6), 1182; https://doi.org/10.3390/en12061182
Received: 27 February 2019 / Revised: 19 March 2019 / Accepted: 21 March 2019 / Published: 26 March 2019
(This article belongs to the Special Issue Distributed Energy Resources Management 2018)
In recent years, the installation of residential Distributed Energy Resources (DER) that produce (mainly rooftop photovoltaics usually bundled with battery system) or consume (electric heat pumps, controllable loads, electric vehicles) electric power is continuously increasing in Low Voltage (LV) distribution networks. Several technical challenges may arise through the massive integration of DER, which have to be addressed by the distribution grid operator. However, DER can provide certain degree of flexibility to the operation of distribution grids, which is generally performed with temporal shifting of energy to be consumed or injected. This work advances a horizon optimization control framework which aims to efficiently schedule the LV network’s operation in day-ahead scale coordinating multiple DER. The main objectives of the proposed control is to ensure secure LV grid operation in the sense of admissible voltage bounds and rated loading conditions for the secondary transformer. The proposed methodology leans on a multi-period three-phase Optimal Power Flow (OPF) addressed as a nonlinear optimization problem. The resulting horizon control scheme is validated within an LV distribution network through multiple case scenarios with high microgeneration and electric vehicle integration providing admissible voltage limits and avoiding unnecessary active power curtailments. View Full-Text
Keywords: low voltage networks; multi-period optimal power flow; multi-temporal optimal power flow; active distribution networks; unbalanced networks low voltage networks; multi-period optimal power flow; multi-temporal optimal power flow; active distribution networks; unbalanced networks
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MDPI and ACS Style

Kotsalos, K.; Miranda, I.; Silva, N.; Leite, H. A Horizon Optimization Control Framework for the Coordinated Operation of Multiple Distributed Energy Resources in Low Voltage Distribution Networks. Energies 2019, 12, 1182.

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