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PSO based multi-objective optimization of unbalanced lv distribution network by PV inverter control

conference contribution
posted on 22.10.2018, 00:00 by X Su, MAS Masoum, Peter WolfsPeter Wolfs
The rapid expansion of consumer-driven installations of residential photovoltaic (PV) systems causes serious power quality issues, e.g. notable voltage variations and unbalance, which not only detrimentally affects security and stability of distribution network operation, but also limits the number and capacity of further PV connections. Based on both reactive power management and real power curtailment of inverters, this study proposes a comprehensive PV control strategy to improve the performance of unbalanced three-phase four-wire low voltage (LV) distribution networks with high PV penetrations. The optimal combination of PV set points is determined by solving a multi-objective optimal power flow (OPF) problem that can simultaneously improve voltage magnitude and balance profiles while minimizing network loss, inverter loss associated with reactive power generation and the cost of real power generation curtailment. To reflect preferences on control objectives, the multi-objective problem is reformulated into an aggregated single-objective problem using weighted sum method and then solved by the global particle swarm optimization (PSO) in MATLAB. Detailed simulations are performed and analysed for a typical scenario of high PV penetration on a real three-phase four-wire unbalanced distribution network in Perth Solar City trial, Australia. © 2014 IEEE.

History

Start Page

1744

End Page

1748

Number of Pages

5

Start Date

23/09/2014

Finish Date

26/09/2014

eISSN

2161-749X

ISSN

2161-7481

ISBN-13

9781479941261

Location

Shenzhen, China

Publisher

IEEE

Place of Publication

Piscataway, NJ.

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Curtin University

Era Eligible

Yes

Name of Conference

China International Conference on Electricity Distribution (CICED 2014)