Developing a Robust Expansion Planning Approach for Transmission Networks and Privately-Owned Renewable Sources

Li Peng; Alireza Zabihi; Mahdi Azimian; Hadis Shirvani; Farhad Shahnia

doi:10.1109/ACCESS.2022.3226695

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Developing a Robust Expansion Planning Approach for Transmission Networks and Privately-Owned Renewable Sources

Journal article

Open access

Peer reviewed

Developing a Robust Expansion Planning Approach for Transmission Networks and Privately-Owned Renewable Sources

Li Peng, Alireza Zabihi, Mahdi Azimian, Hadis Shirvani and Farhad Shahnia

IEEE access, Vol.11, pp.76046-76058

2023

DOI: https://doi.org/10.1109/ACCESS.2022.3226695

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Abstract

Computer Science

Computer Science, Information Systems

Engineering

Engineering, Electrical & Electronic

Science & Technology

Technology

Telecommunications

Power system restructuring has changed transmission expansion planning (TEP) and caused many complications due to conflicting and contradictory objectives. The transmission capacity expansion would significantly affect the revenue of investor-owned renewable energy sources (RESs). Thus, the investment decisions on merchant RESs must be considered in the TEP studies conducted by the transmission system operator (TSO). In this regard, this paper aims to propose a multi-objective co-planning of investment in transmission networks and merchant RESs with three objective functions: minimizing the investment cost of newly deployed transmission lines, minimizing transmission congestion cost, and minimizing load curtailment in N-1 conditions. Moreover, the TSO guarantees a desirable rate of return for private investors to finance renewable energy projects. Further, a robust optimization (RO) technique is employed to cope with the uncertainties associated with demand and renewable energy production. Also, a posteriori multi-objective optimization algorithm, i.e., the non-dominated sorting genetic algorithm (NSGAII), is applied to solve the advanced optimization problem, followed by the fuzzy min-max method to acquire the final optimal solution. Finally, the IEEE RTS 24-bus test system is utilized to demonstrate the effectiveness and applicability of the suggested approach.

Details

Title: Developing a Robust Expansion Planning Approach for Transmission Networks and Privately-Owned Renewable Sources
Authors/Creators: Li Peng - Hunan City University
Alireza Zabihi - Islamic Azad University of Najafabad
Mahdi Azimian - Islamic Azad University of Kashan
Hadis Shirvani - Islamic Azad University of Kashan
Farhad Shahnia - Murdoch University, Centre for Water, Energy and Waste
Publication Details: IEEE access, Vol.11, pp.76046-76058
Publisher: IEEE
Number of pages: 13
Identifiers: 991005634369507891
Murdoch Affiliation: School of Engineering and Energy
Language: English
Resource Type: Journal article

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Collaboration types: Domestic collaboration; International collaboration
Citation topics: 4 Electrical Engineering, Electronics & Computer Science; 4.18 Power Systems & Electric Vehicles; 4.18.204 Smart Grid Optimization
Web Of Science research areas: Computer Science, Information Systems; Engineering, Electrical & Electronic; Telecommunications
ESI research areas: Engineering