Simultaneous optimisation of photovoltaic hosting capacity and energy loss of radial distribution networks with open unified power quality conditioner allocation
Abstract
This study presents a multi‐objective planning approach to optimally place open unified power quality conditioner (UPQC‐O) by simultaneously optimising the photovoltaic (PV) hosting capacity (PVHC) and energy loss of distribution networks. The modelling of UPQC‐O consisting of a series and a shunt inverter is carried out so as to place in distribution networks. The Pareto‐dominance‐based approach is used to simultaneously optimise the objective functions to determine the optimal PV generation capacity in each bus and the locations of the inverters of UPQC‐O. The limits on bus voltage magnitude, line current flow, maximum PV generation capacity in each bus, and the percentage of voltage sag mitigated load are considered to be the operational constraints in this planning problem. The solution strategy used is the multi‐objective particle swarm optimisation. The approach provides the Pareto‐approximation set consisting of a number of trade‐off solutions in view of PVHC and energy loss. A utility can choose a solution for implementation depending on its desired PVHC and/or energy loss level. The results show that the PV deployment in distribution networks reduces the energy loss. However, the amount of energy loss reduction diminishes with higher and higher values of PV capacity integration.
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The UPQC-O approach comes with an extra investment cost when compared to other approaches.
“However, this approach comes with an extra investment cost when compared to other approaches.”
From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [113]
The addition of UPQC-O increases the PV HC and lowers the losses.
“The results show that the addition of UPQC-O increases the PV HC and lowers the losses.”
From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [113]
In [113], a multi-objective particle swarm optimization (PSO) algorithm with the Pareto dominance-based approach is used to optimally place an open unified power quality conditioner (UPQC-O) to maximize the PV HC and minimize distribution losses simultaneously.
“In [113], a multi-objective particle swarm optimization (PSO) algorithm with the Pareto dominance-based approach is used to optimally place an open unified power quality conditioner (UPQC-O) to maximize the PV HC and minimize distribution losses simultaneously.”
From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [113]
Cited by
Sorted by citations
Umoh, V., Davidson, I., Adebiyi, A., & Ekpe, U. (2023) · Energies · doi:10.3390/en16083609 · Cited by 71 · see citing works
Voltage Regulation in Rooftop PV-Rich Distribution Networks: A Review and Detailed Case Study
Rahman, O., Elphick, S., & Robinson, D. A. (2026) · Electronics · doi:10.3390/electronics15051074 · Cited by 3 · see citing works
- Authors
- Lakshmi, S., & Ganguly, S.
- Affiliations
- Indian Institute of Technology Guwahati (IN)
- Corresponding author
- Ganguly, Sanjib
- Venue
- IET Renewable Power Generation
- Published
- 2018-08-20
- Volume
- 12
- Issue
- 12
- Pages
- 1382-1389
- ISSN
- 1752-1416 (ISSN-L)
- 1752-1424
- OpenAlex
- W2884786435
- Cited by
- 53
- References
- 0
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 6 · 2023: 10 · 2022: 10 · 2021: 8 · 2020: 12 · 2019: 2
- FWCI
- 2.10
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IET Renewable Power Generation (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Power Quality and Harmonics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Power System Optimization and Stability
- Keywords
- photovoltaic hosting capacity, radial distribution systems, multi-objective optimization, voltage sag mitigation, Pareto front, multi-objective particle swarm optimization, photovoltaic integration
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