Data-driven Assessment of the DER Flexibility Impact on the LV Grid Management

Article Engineering, Electrical & Electronic

Conditional parametric model for sensitivity factors in LV grids: A privacy-preserving approach

Gil Sampaio et al.

Summary: This study presents a data-driven method based on smart meter data to estimate linear sensitivity factors for three-phase unbalanced LV grids. The method combines a privacy-preserving protocol and varying coefficients linear regression. The proposed method enables centralized and peer-to-peer learning of the sensitivity factors, and can be used to solve voltage violations or compute operating envelopes in LV grids.

ELECTRIC POWER SYSTEMS RESEARCH (2022)

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Review Energy & Fuels

A comprehensive review on electric vehicles smart charging: Solutions, strategies, technologies, and challenges

Omid Sadeghian et al.

Summary: This review paper discusses the benefits and challenges of EV smart charging (EVSC) from various perspectives, including the role of EV aggregators, charging methods and objectives, and the required infrastructure. The paper also examines the integration of EVSC in energy systems and the environmental benefits of smart green charging solutions. Important findings and recommendations are provided for researchers and policymakers.

JOURNAL OF ENERGY STORAGE (2022)

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Article Engineering, Electrical & Electronic

High-economic PV power compensation algorithm to mitigate voltage rise with minimal curtailment

Zhanqiang Zhang et al.

Summary: In this paper, a coordinated power compensation algorithm (PCA) is proposed to regulate bus voltage effectively with minimal power curtailment by selecting primary control nodes and optimal PV compensation orders based on sensitivity sequence. This method reduces the total power curtailment while serving requisite load demand, as verified by final results on a tested PV system model.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2021)

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Article Energy & Fuels

Centralised coordination of EVs charging and PV active power curtailment over multiple aggregators in low voltage networks

Andres Felipe Cortes Borray et al.

Summary: This paper proposes a centralized coordination strategy to mitigate the impact of PV and EV on distribution systems by defining optimal export limits and employing aggregators to dictate optimal signals. The research utilizes mixed-integer quadratic programming and convex optimization models to effectively manage power and voltage constraints in low-voltage networks, regardless of detailed network information. The concepts are tested on a real low-voltage network with critical penetration levels of EVs and PVs, showing promising results in addressing technical challenges faced by distribution system operators.

SUSTAINABLE ENERGY GRIDS & NETWORKS (2021)

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Proceedings Paper Computer Science, Theory & Methods

Identification of Distributed Energy Resources in Low Voltage Distribution Networks

Andres F. Moreno Jaramillo et al.

Summary: This research introduces a new monitoring method using machine learning algorithms to identify PV generation and EV power consumption in low-voltage networks, supporting the integration of distributed resources and enhancing flexibility, reliability, and security of supply in power systems.

2021 IEEE PES INNOVATIVE SMART GRID TECHNOLOGY EUROPE (ISGT EUROPE 2021) (2021)

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Article Engineering, Electrical & Electronic