Proceedings of the 2016 International Symposium on Advances in Electrical, Electronics and Computer Engineering

Optimization Method of Technical Solutions in Premium Power Park Considering Customers’ Power Quality Demand

Authors
Liu Xuna, Li Da, Zhao Dawei
Corresponding Author
Liu Xuna
Available Online April 2016.
DOI
10.2991/isaeece-16.2016.50How to use a DOI?
Keywords
Premium Power Park; customers’ demand; process immunity time; power quality; optimization model
Abstract

Premium Power Park (PPP) is a technical solution to solve the regional high-quality power supply problems. The technical optimization method is the premise of planning and constructing. To meet various power demands of different customers, the concept of process immunity time is lead up in this paper. Considering the response characteristic of process to sag and the variation curve of physical parameters, the method of quantification for customers’ power quality demands is proposed. On this basis, optimization model is established by constraints of customers’ demands and taking the minimum cost as the objective. And its corresponding algorithm based on Tabu search method is researched. The proposed method is applied to a typical PPP and it is proved to be accurate and valid. The results show that this method can meet each customer’s demand, meanwhile, ensure the minimum of total investment.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Symposium on Advances in Electrical, Electronics and Computer Engineering
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
10.2991/isaeece-16.2016.50
ISSN
2352-5401
DOI
10.2991/isaeece-16.2016.50How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Liu Xuna
AU  - Li Da
AU  - Zhao Dawei
PY  - 2016/04
DA  - 2016/04
TI  - Optimization Method of Technical Solutions in Premium Power Park Considering Customers’ Power Quality Demand
BT  - Proceedings of the 2016 International Symposium on Advances in Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 263
EP  - 268
SN  - 2352-5401
UR  - https://doi.org/10.2991/isaeece-16.2016.50
DO  - 10.2991/isaeece-16.2016.50
ID  - Xuna2016/04
ER  -