Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

An Operational Approach to Multi-Objective Optimization of Volt-VAr Control

Version 1 : Received: 19 August 2020 / Approved: 20 August 2020 / Online: 20 August 2020 (13:14:16 CEST)

How to cite: Raz, D.; Beck, Y. An Operational Approach to Multi-Objective Optimization of Volt-VAr Control. Preprints 2020, 2020080462 (doi: 10.20944/preprints202008.0462.v1). Raz, D.; Beck, Y. An Operational Approach to Multi-Objective Optimization of Volt-VAr Control. Preprints 2020, 2020080462 (doi: 10.20944/preprints202008.0462.v1).

Abstract

Recent research has enabled the integration of traditional Volt-VAr Control (VVC) resources, such as capacitors banks and transformer tap changers, with Distributed Energy Resources (DERs), such as photo-voltaic sources and energy storage, in order to achieve various Volt-VAr Optimization (VVO) targets, such as Conservation Voltage Reduction (CVR), minimizing VAr flow at the transformer, minimizing grid losses, minimizing asset operations and more. When more than one target function can be optimized, the question of multi-objective optimization is raised. In this work, we propose a general formulation of the multi-objective Volt-VAr optimization problem. We consider the applicability of various multi-optimization techniques and discuss the operational interpretation of these solutions. We demonstrate the methods using simulation on a test feeder.

Subject Areas

Volt-VAr Control; Volt-VAr Optimization; Multi-Objective optimization

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