Decentralized optimal reactive power dispatch of optimally partitioned distribution networks

Peishuai Li; Zaijun Wu; Ke Meng; Guo Chen; Zhao Yang Dong

doi:10.1109/ACCESS.2018.2882461

Decentralized optimal reactive power dispatch of optimally partitioned distribution networks

Peishuai Li
, Zaijun Wu^*
, Ke Meng
, Guo Chen
, Zhao Yang Dong

^*Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

23 Citations (Scopus)

17 Downloads (CityUHK Scholars)

Abstract

This paper proposes a two-stage decentralized optimal reactive power dispatch (D-ORPD) framework, which considers the network partitioning influence in distributed optimization. The first stage is to divide the distribution networks (DNs) into several high-intra-cohesion and low-coupling sub-networks while the mathematical model is constructed based on partition indexes. This optimal partition designation reduces information exchange between adjacent sub-networks. Then, with the reduced information exchange, the distributed computation would be accelerated. Based on the network optimal partition, the D-ORPD model is constructed in a 'decomposition-coordination' pattern during the second stage. To enhance the consistency between distributed and centralized optimization, the D-ORPD is improved by the proposed virtual load, which simulates the load characteristic of sub-networks. The alternating directions method of the multipliers (ADMM) algorithm is utilized to solve the mathematical model effectively. Moreover, case studies on the PGE 69 bus test system and the IEEE 123 bus test system are executed by the MATLAB platform to demonstrate the validity and effectiveness of the proposed method. © 2013 IEEE.

Original language	English
Article number	8542671
Pages (from-to)	74051-74060
Journal	IEEE Access
Volume	6
DOIs	https://doi.org/10.1109/ACCESS.2018.2882461
Publication status	Published - 2018
Externally published	Yes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

distributed optimization
Network partitioning
reactive power dispatch
virtual load

Publisher's Copyright Statement

© 2018 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.

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@article{3edb3f1345ee4975afff603aa765f7a0,

title = "Decentralized optimal reactive power dispatch of optimally partitioned distribution networks",

abstract = "This paper proposes a two-stage decentralized optimal reactive power dispatch (D-ORPD) framework, which considers the network partitioning influence in distributed optimization. The first stage is to divide the distribution networks (DNs) into several high-intra-cohesion and low-coupling sub-networks while the mathematical model is constructed based on partition indexes. This optimal partition designation reduces information exchange between adjacent sub-networks. Then, with the reduced information exchange, the distributed computation would be accelerated. Based on the network optimal partition, the D-ORPD model is constructed in a 'decomposition-coordination' pattern during the second stage. To enhance the consistency between distributed and centralized optimization, the D-ORPD is improved by the proposed virtual load, which simulates the load characteristic of sub-networks. The alternating directions method of the multipliers (ADMM) algorithm is utilized to solve the mathematical model effectively. Moreover, case studies on the PGE 69 bus test system and the IEEE 123 bus test system are executed by the MATLAB platform to demonstrate the validity and effectiveness of the proposed method. {\textcopyright} 2013 IEEE.",

keywords = "distributed optimization, Network partitioning, reactive power dispatch, virtual load",

author = "Peishuai Li and Zaijun Wu and Ke Meng and Guo Chen and Dong, \{Zhao Yang\}",

note = "Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].",

year = "2018",

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TY - JOUR

T1 - Decentralized optimal reactive power dispatch of optimally partitioned distribution networks

AU - Li, Peishuai

AU - Wu, Zaijun

AU - Meng, Ke

AU - Chen, Guo

AU - Dong, Zhao Yang

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 2018

Y1 - 2018

N2 - This paper proposes a two-stage decentralized optimal reactive power dispatch (D-ORPD) framework, which considers the network partitioning influence in distributed optimization. The first stage is to divide the distribution networks (DNs) into several high-intra-cohesion and low-coupling sub-networks while the mathematical model is constructed based on partition indexes. This optimal partition designation reduces information exchange between adjacent sub-networks. Then, with the reduced information exchange, the distributed computation would be accelerated. Based on the network optimal partition, the D-ORPD model is constructed in a 'decomposition-coordination' pattern during the second stage. To enhance the consistency between distributed and centralized optimization, the D-ORPD is improved by the proposed virtual load, which simulates the load characteristic of sub-networks. The alternating directions method of the multipliers (ADMM) algorithm is utilized to solve the mathematical model effectively. Moreover, case studies on the PGE 69 bus test system and the IEEE 123 bus test system are executed by the MATLAB platform to demonstrate the validity and effectiveness of the proposed method. © 2013 IEEE.

AB - This paper proposes a two-stage decentralized optimal reactive power dispatch (D-ORPD) framework, which considers the network partitioning influence in distributed optimization. The first stage is to divide the distribution networks (DNs) into several high-intra-cohesion and low-coupling sub-networks while the mathematical model is constructed based on partition indexes. This optimal partition designation reduces information exchange between adjacent sub-networks. Then, with the reduced information exchange, the distributed computation would be accelerated. Based on the network optimal partition, the D-ORPD model is constructed in a 'decomposition-coordination' pattern during the second stage. To enhance the consistency between distributed and centralized optimization, the D-ORPD is improved by the proposed virtual load, which simulates the load characteristic of sub-networks. The alternating directions method of the multipliers (ADMM) algorithm is utilized to solve the mathematical model effectively. Moreover, case studies on the PGE 69 bus test system and the IEEE 123 bus test system are executed by the MATLAB platform to demonstrate the validity and effectiveness of the proposed method. © 2013 IEEE.

KW - distributed optimization

KW - Network partitioning

KW - reactive power dispatch

KW - virtual load

UR - https://www.scopus.com/pages/publications/85057158018

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85057158018&origin=recordpage

U2 - 10.1109/ACCESS.2018.2882461

DO - 10.1109/ACCESS.2018.2882461

M3 - RGC 21 - Publication in refereed journal

SN - 2169-3536

VL - 6

SP - 74051

EP - 74060

JO - IEEE Access

JF - IEEE Access

M1 - 8542671

ER -

Decentralized optimal reactive power dispatch of optimally partitioned distribution networks

Abstract

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Research Keywords

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