Optimal SVC placement for Maximizing Photovoltaic Hosting Capacity in Distribution Network

Xu Xu; Zhao Xu; Xue Lyu; Jiayong Li

doi:10.1016/j.ifacol.2018.11.728

Optimal SVC placement for Maximizing Photovoltaic Hosting Capacity in Distribution Network

Xu Xu, Zhao Xu, Xue Lyu, Jiayong Li

Hong Kong Polytechnic University

Research output: Contribution to journal › Article › peer-review

11 Citations (Scopus)

Abstract

It has become a challenging task to accommodate the proliferation of distributed photovoltaic (PV) generation in distribution networks (DN). In order to enhance the PV generation hosting capacity (HC) in DN, we propose a novel optimal static VAR compensator (SVC) placement model in this paper. The objective is to maximize the PV admissibility and minimize investment cost of SVC while maintaining required levels of power quality and system stability. To reduce the complexity of the problem, linearization is utilized to transform the original nonlinear problem into a mix-integer linear program. Finally, the effectiveness of the proposed model is validated using a modified IEEE 37-bus distribution system with excessive PVs.

Original language	English
Pages (from-to)	356-361
Number of pages	6
Journal	IFAC-PapersOnLine
Volume	51
Issue number	28
DOIs	https://doi.org/10.1016/j.ifacol.2018.11.728
Publication status	Published - 2018
Externally published	Yes

Keywords

PV generation
SVC placement
distribution networks
hosting capacity
linearization

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.ifacol.2018.11.728

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title = "Optimal SVC placement for Maximizing Photovoltaic Hosting Capacity in Distribution Network",

abstract = "It has become a challenging task to accommodate the proliferation of distributed photovoltaic (PV) generation in distribution networks (DN). In order to enhance the PV generation hosting capacity (HC) in DN, we propose a novel optimal static VAR compensator (SVC) placement model in this paper. The objective is to maximize the PV admissibility and minimize investment cost of SVC while maintaining required levels of power quality and system stability. To reduce the complexity of the problem, linearization is utilized to transform the original nonlinear problem into a mix-integer linear program. Finally, the effectiveness of the proposed model is validated using a modified IEEE 37-bus distribution system with excessive PVs.",

keywords = "PV generation, SVC placement, distribution networks, hosting capacity, linearization",

author = "Xu Xu and Zhao Xu and Xue Lyu and Jiayong Li",

note = "Publisher Copyright: {\textcopyright} 2018",

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doi = "10.1016/j.ifacol.2018.11.728",

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AU - Xu, Xu

AU - Xu, Zhao

AU - Lyu, Xue

AU - Li, Jiayong

PY - 2018

Y1 - 2018

N2 - It has become a challenging task to accommodate the proliferation of distributed photovoltaic (PV) generation in distribution networks (DN). In order to enhance the PV generation hosting capacity (HC) in DN, we propose a novel optimal static VAR compensator (SVC) placement model in this paper. The objective is to maximize the PV admissibility and minimize investment cost of SVC while maintaining required levels of power quality and system stability. To reduce the complexity of the problem, linearization is utilized to transform the original nonlinear problem into a mix-integer linear program. Finally, the effectiveness of the proposed model is validated using a modified IEEE 37-bus distribution system with excessive PVs.

AB - It has become a challenging task to accommodate the proliferation of distributed photovoltaic (PV) generation in distribution networks (DN). In order to enhance the PV generation hosting capacity (HC) in DN, we propose a novel optimal static VAR compensator (SVC) placement model in this paper. The objective is to maximize the PV admissibility and minimize investment cost of SVC while maintaining required levels of power quality and system stability. To reduce the complexity of the problem, linearization is utilized to transform the original nonlinear problem into a mix-integer linear program. Finally, the effectiveness of the proposed model is validated using a modified IEEE 37-bus distribution system with excessive PVs.

KW - PV generation

KW - SVC placement

KW - distribution networks

KW - hosting capacity

KW - linearization

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DO - 10.1016/j.ifacol.2018.11.728

M3 - Article

AN - SCOPUS:85058228785

SN - 1474-6670

VL - 51

SP - 356

EP - 361

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

IS - 28

ER -

Optimal SVC placement for Maximizing Photovoltaic Hosting Capacity in Distribution Network

Abstract

Keywords

UN SDGs

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