Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

A Phase Generation Shifting Algorithm for Prosumer Surplus Management in Microgrids using Inverter Automated Control

Version 1 : Received: 11 October 2021 / Approved: 13 October 2021 / Online: 13 October 2021 (14:54:49 CEST)

How to cite: Ivanov, O.; Neagu, B.C.; Gavrilaș, M.; Grigoraș, G. A Phase Generation Shifting Algorithm for Prosumer Surplus Management in Microgrids using Inverter Automated Control. Preprints 2021, 2021100205 (doi: 10.20944/preprints202110.0205.v1). Ivanov, O.; Neagu, B.C.; Gavrilaș, M.; Grigoraș, G. A Phase Generation Shifting Algorithm for Prosumer Surplus Management in Microgrids using Inverter Automated Control. Preprints 2021, 2021100205 (doi: 10.20944/preprints202110.0205.v1).

Abstract

Four-wire low voltage microgrids supply one-phase consumers with continuously changing electricity demand. For addressing climate change concerns, governments implemented incentive schemes for residential consumers, encouraging the installation of home PV panels for covering self-consumption needs. In the absence of sufficient storage capacities, the surplus is sold back by these entities, called prosumers, to the grid operator or in local markets, to other consumers. While these initiatives encourage the proliferation of green energy resources, and ample research is dedicated to local market designs for prosumer-consumer trading, the main concern of distribution network operators is the influence of power flows generated by prosumer surplus injection on the operating states of microgrids. The change in power flow amount and direction can greatly influence the economic and technical operating conditions of radial grids. This paper proposes a metaheuristic algorithm for prosumer surplus management that optimizes the power surplus injections using the automated control of three-phase inverters, with the aim of improving the active power losses and balancing the phase voltage profiles. A case study is performed on two real distribution networks with distinct layouts and load profiles and the algorithm shows its efficiency in both scenarios.

Keywords

electricity distribution; microgrids; prosumers; phase generation management; metaheuristic optimization.

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