Next Article in Journal
Numerical Investigation of the Chemical Effect and Inhibition Effect Improvement of C3H2F3Br (2-BTP) Using the Perfectly Stirred Reactor Model
Previous Article in Journal
Carbon Dioxide Emissions, Energy Consumption and Economic Growth: A Comparative Empirical Study of Selected Developed and Developing Countries. “The Role of Exergy”
Article Menu
Issue 10 (October) cover image

Export Article

Open AccessArticle
Energies 2018, 11(10), 2669; https://doi.org/10.3390/en11102669

A Joint Planning Method for Substations and Lines in Distribution Systems Based on the Parallel Bird Swarm Algorithm

1
Economic & Technology Research Institute, State Grid Shandong Electric Power Company, Jinan 250021, China
2
School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
3
State Grid Shandong Electric Power Research Institute, Jinan 250002, Shandong, China
*
Author to whom correspondence should be addressed.
Received: 16 September 2018 / Revised: 28 September 2018 / Accepted: 30 September 2018 / Published: 8 October 2018
(This article belongs to the Section Electrical Power and Energy System)
Full-Text   |   PDF [2143 KB, uploaded 9 October 2018]   |  

Abstract

Reasonable distribution network planning schemes can not only improve the power quality and power supply capacity of the power system, but also increase the economic benefits and welfare of the whole society. In this work, a bi-level optimization model is proposed for the joint planning of substations and lines in looped urban distribution systems. The upper-level model aims to address the substation locating and sizing problem, whereas the lower-level model the network planning problem. Both the substations directly supplying power to a load and the contralateral substations that act as backup power source to the load are considered in the bi-level model. In order to solve the bi-level planning model which is mathematically mixed integer programing and with plenty of continuous and discrete variables, the bird swarm algorithm is improved and applied based on the idea of parallel computing of big data theory. Simulations on actual planning problems are employed to verify the effectiveness of the proposed bi-level distribution network planning model and the parallel bird swarm algorithm. View Full-Text
Keywords: distribution network planning; bi-level optimization; bird swarm algorithm; master-slave architecture distribution network planning; bi-level optimization; bird swarm algorithm; master-slave architecture
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Wu, K.; Li, K.; Liang, R.; Ma, R.; Zhao, Y.; Wang, J.; Qi, L.; Liu, S.; Han, C.; Yang, L.; Huang, M. A Joint Planning Method for Substations and Lines in Distribution Systems Based on the Parallel Bird Swarm Algorithm. Energies 2018, 11, 2669.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top