A bi-level planning approach for hybrid AC-DC distribution system considering N-1 security criterion
Creators
- 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.2018.08.110Additional 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
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 52114347
- Subject category
- S24: POWER TRANSMISSION AND DISTRIBUTION; S29: ENERGY PLANNING, POLICY AND ECONOMY;
- Descriptors DEI
- AC SYSTEMS; CONSUMPTION RATES; DC SYSTEMS; ENERGY SECURITY; GENETIC ALGORITHMS; HYBRID SYSTEMS; INVESTMENT; OPERATING COST; OPTIMIZATION; PHOTOVOLTAIC CELLS; PLANNING; RELIABILITY; REMOTE AREAS; RENEWABLE ENERGY SOURCES; WIND TURBINE ARRAYS
- Descriptors DEC
- ALGORITHMS; COST; DIRECT ENERGY CONVERTERS; ENERGY SOURCES; ENERGY SYSTEMS; MATHEMATICAL LOGIC; PHOTOELECTRIC CELLS; POWER SYSTEMS
Optional Information
- Copyright
- Copyright (c) 2018 Elsevier Ltd. All rights reserved.