Predictive Voltage Control: Empowering Domestic Customers With a Key Role in the Active Management of LV Networks

Author:

Simões MicaelORCID,Madureira André G.ORCID

Abstract

In order to avoid voltage problems derived from the connection of large amounts of renewable-based generation to the electrical distribution system, new advanced tools need to be developed that are able to exploit the presence of Distributed Energy Resources (DER). This paper describes the approach proposed for a predictive voltage control algorithm to be used in Low Voltage (LV) distribution networks in order to make use of available flexibilities from domestic consumers via their Home Energy Management System (HEMS) and more traditional resources from the Distribution System Operator (DSO), such as transformers with On-Load Tap Changer (OLTC) and storage devices. The proposed algorithm—the Low Voltage Control (LVC)—is detailed in this paper. The algorithm was tested through simulation using a real Portuguese LV network and real consumption and generation data, in order to evaluate its performance in preparation for a field-trial validation in a Portuguese smart grids pilot.

Funder

Horizon 2020 Framework Programme

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Droop control in decentralized inverter-based AC microgrid and the analysis of the effect of different types of feeder impedances;2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON);2022-12-02

2. Evaluation of the Feasible Provision of Flexibility in Distribution Networks with Advanced Grid Monitoring;2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS);2022-06-12

3. Functional Scalability and Replicability Analysis for Smart Grid Functions: The InteGrid Project Approach;Energies;2021-09-09

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