Published November 2018 | Version v1
Journal article

A bi-level planning approach for hybrid AC-DC distribution system considering N-1 security criterion

  • 1. School of Electrical Engineering, Southeast University, Nanjing 210096 (China)
  • 2. State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210024 (China)
  • 3. State Grid Jiangsu Economic and Technological Research Institute Ltd., Nanjing 210000 (China)

Description

Highlights: • A bi-level planning approach for AC-DC hybrid distribution system is presented. • Integration of renewable energy distributed in remote areas is considered. • Wind and solar curtailment are prevented under the worst N-1 contingency. • A solving strategy combining heuristic algorithm and numerical method is proposed. • Improvement in computational efficiency is investigated. Renewable energy is widely distributed in remote or coastal areas. In order to improve the economic efficiency and the consumption rate of renewable energy in distribution system, such distributed generators can be connected through a DC network, which provides power supply for AC system through collection lines. This paper presents a bi-level planning model for AC-DC distribution system with consideration of N-1 contingency. The upper-level model optimizes the total investment costs and operating costs in both AC and DC system over the planning horizon. The lower-level model aims to improve the reliability of the DC system by minimizing curtailment cost of wind farm and photovoltaic under the worst N-1 contingency. Dual technology and Big-M method are applied to reformulate lower-level model as a robust optimization. A novel solving strategy is proposed by combining modified genetic algorithm and numerical method in a nested way. Case studies illustrate that the proposed planning approach is more reliable in dealing with N-1 contingency and more effective in solving large-scale optimization compared with the existing planning approach.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.apenergy.2018.08.110

Additional details

Identifiers

DOI
10.1016/j.apenergy.2018.08.110;
PII
S0306261918312807;

Publishing Information

Journal Title
Applied Energy
Journal Volume
230
Journal Page Range
p. 417-428
ISSN
0306-2619
CODEN
APENDX

Optional Information

Copyright
Copyright (c) 2018 Elsevier Ltd. All rights reserved.