CLC number: TM715
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2015-09-21
Cited: 0
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Rongrit Chatthaworn, Surachai Chaitusaney. An approach for evaluating the impact of an intermittent renewable energy source on transmission expansion planning[J]. Frontiers of Information Technology & Electronic Engineering, 2015, 16(10): 871-882.
@article{title="An approach for evaluating the impact of an intermittent renewable energy source on transmission expansion planning",
author="Rongrit Chatthaworn, Surachai Chaitusaney",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="16",
number="10",
pages="871-882",
year="2015",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1500049"
}
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%T An approach for evaluating the impact of an intermittent renewable energy source on transmission expansion planning
%A Rongrit Chatthaworn
%A Surachai Chaitusaney
%J Frontiers of Information Technology & Electronic Engineering
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%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1500049
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T1 - An approach for evaluating the impact of an intermittent renewable energy source on transmission expansion planning
A1 - Rongrit Chatthaworn
A1 - Surachai Chaitusaney
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 16
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SP - 871
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%@ 2095-9184
Y1 - 2015
PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.1500049
Abstract: We propose a new robust optimization approach to evaluate the impact of an intermittent renewable energy source on transmission expansion planning (TEP). The objective function of TEP is composed of the investment cost of the transmission line and the operating cost of conventional generators. A method to select suitable scenarios representing the intermittent renewable energy generation and loads is proposed to obtain robust expansion planning for all possible scenarios. A meta-heuristic algorithm called adaptive tabu search (ATS) is employed in the proposed TEP. ATS iterates between the main problem, which minimizes the investment and operating costs, and the subproblem, which minimizes the cost of power generation from conventional generators and curtailments of renewable energy generation and loads. The subproblem is solved by nonlinear programming (NLP) based on an interior point method. Moreover, the impact of an intermittent renewable energy source on TEP was evaluated by comparing expansion planning with and without consideration of a renewable energy source. The IEEE Reliability Test System 79 (RTS 79) was used for testing the proposed method and evaluating the impact of an intermittent renewable energy source on TEP. The results show that the proposed robust optimization approach provides a more robust solution than other methods and that the impact of an intermittent renewable energy source on TEP should be considered.
This paper proposes a new optimization approach to evaluating the impact of intermittent renewable energy source on transmission expansion planning (TEP). The results show that the proposed optimization approach can provide a solution which is more robust that the other works and that the impact of intermittent renewable energy source on TEP needs to be appropriately considered.
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