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An optimization based resilient control strategy for voltage unbalance compensation in grid connected microgrid system

An optimization based resilient control strategy for voltage unbalance compensation in grid connected microgrid system
An optimization based resilient control strategy for voltage unbalance compensation in grid connected microgrid system

A novel two stage multi-objective control strategy for optimal voltage unbalance compensation in low voltage microgrid systems consisting of inverter interfaced distributed generators (IIDGs) has been presented in this research. To ensure continuous and safe operation of the IIDGs during unbalanced voltage sags, the proposed control strategy supplies the optimal positive sequence voltage support and performs voltage unbalance compensation considering the current limitation of the inverters. The control strategy also ensures that the DGs deliver maximum allowable active power during voltage sag. The positive and negative sequence quantities of the IIDGs are controlled in such a way so that these objectives can be achieved simultaneously. The DGs are operated in coordination with each other to maintain the voltage profile as desired by the grid operator. Prioritisation of active power and unbalance compensation can be set depending upon the requirement of the customer. Under severe grid imbalance condition, the proposed technique can raise the positive sequence voltage to near nominal value from below 0.9 per unit maintaining all phase currents of DGs within safety limit.To solve the optimization problem and to generate the optimal references for the DG control unit, artificial cooperative search algorithm has been utilised. The two stage control strategy includes a local control for each DG, which coordinates with the central control to provide the optimal references for all the DGs. The multi-objective control strategy has been tested under different operating conditions and implemented in real time digital simulator to ensure the robustness and effectiveness of the proposed approach.

Artificial cooperative search algorithm, Microgrid, Multi-objective control strategy, Voltage unbalance compensation
0948-7921
205-222
Pavankumar, Yadala
5cd41b9c-57cc-4ac1-b36d-4143d5d1a81b
Debnath, Sudipta
78351e14-b824-4d90-8e9f-4c2f7bd51d89
Paul, Subrata
6d6fec34-30f6-4e18-904b-8b13b9a89d35
Pavankumar, Yadala
5cd41b9c-57cc-4ac1-b36d-4143d5d1a81b
Debnath, Sudipta
78351e14-b824-4d90-8e9f-4c2f7bd51d89
Paul, Subrata
6d6fec34-30f6-4e18-904b-8b13b9a89d35

Pavankumar, Yadala, Debnath, Sudipta and Paul, Subrata (2024) An optimization based resilient control strategy for voltage unbalance compensation in grid connected microgrid system. Electrical Engineering, 107 (1), 205-222. (doi:10.1007/s00202-024-02513-6).

Record type: Article

Abstract

A novel two stage multi-objective control strategy for optimal voltage unbalance compensation in low voltage microgrid systems consisting of inverter interfaced distributed generators (IIDGs) has been presented in this research. To ensure continuous and safe operation of the IIDGs during unbalanced voltage sags, the proposed control strategy supplies the optimal positive sequence voltage support and performs voltage unbalance compensation considering the current limitation of the inverters. The control strategy also ensures that the DGs deliver maximum allowable active power during voltage sag. The positive and negative sequence quantities of the IIDGs are controlled in such a way so that these objectives can be achieved simultaneously. The DGs are operated in coordination with each other to maintain the voltage profile as desired by the grid operator. Prioritisation of active power and unbalance compensation can be set depending upon the requirement of the customer. Under severe grid imbalance condition, the proposed technique can raise the positive sequence voltage to near nominal value from below 0.9 per unit maintaining all phase currents of DGs within safety limit.To solve the optimization problem and to generate the optimal references for the DG control unit, artificial cooperative search algorithm has been utilised. The two stage control strategy includes a local control for each DG, which coordinates with the central control to provide the optimal references for all the DGs. The multi-objective control strategy has been tested under different operating conditions and implemented in real time digital simulator to ensure the robustness and effectiveness of the proposed approach.

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Accepted/In Press date: 29 May 2024
e-pub ahead of print date: 12 June 2024
Keywords: Artificial cooperative search algorithm, Microgrid, Multi-objective control strategy, Voltage unbalance compensation

Identifiers

Local EPrints ID: 499856
URI: http://eprints.soton.ac.uk/id/eprint/499856
ISSN: 0948-7921
PURE UUID: cf49e7ae-9419-4d13-a57b-b0e0df84b5bb
ORCID for Yadala Pavankumar: ORCID iD orcid.org/0000-0001-9211-8337

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Date deposited: 08 Apr 2025 16:30
Last modified: 22 Aug 2025 02:45

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Contributors

Author: Yadala Pavankumar ORCID iD
Author: Sudipta Debnath
Author: Subrata Paul

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