An approach for evaluating the impact of an intermittent renewable energy source on transmission expansion planning*

Chatthaworn Rongrit; Chaitusaney Surachai

doi:10.1631/FITEE.1500049

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An approach for evaluating the impact of an intermittent renewable energy source on transmission expansion planning*

Electrical & Electronic Engineering | Updated：2022-06-06

- An approach for evaluating the impact of an intermittent renewable energy source on transmission expansion planning*
- 一种评估间歇式可再生能源对输电网扩展规划影响的方法
- Frontiers of Information Technology & Electronic Engineering Vol. 16, Issue 10, Pages: 871-882(2015)
- Affiliations：
  
  Department of Electrical Engineering, Chulalongkorn University, Bangkok 10330, Thailand
- Author bio：
  
  †E-mail:c.rongrit@gmail.comsurachai.c@chula.ac.th
  ‡Corresponding Author
- Funds：
- DOI：10.1631/FITEE.1500049
  CLC：
- Received：08 February 2015，
  
  Revised：2015-09-21，
  
  Accepted：31 May 2015，
  
  Published：2015-10
- Accepted：
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Chatthaworn Rongrit, Chaitusaney Surachai. 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.
DOI：

Chatthaworn Rongrit, Chaitusaney Surachai. 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. DOI： 10.1631/FITEE.1500049.

摘要

目的

针对间歇式可再生能源对输电网扩展规划（Transmission expansion planning

TEP）的影响，提出一种稳健的最优化评估方法。

创新点

TEP的目标函数由传输线的投资成本和常规发电机的运行成本组成。为对所有的运行场景都获取稳健的扩展规划，提出一种选择恰当“代表间断性可再生能源的生产和负载”运行场景的方法。

方法

在所提出的TEP中，使用自适应禁忌算法（ATS，一种元启发式算法）。ATS在主问题（最小化投资和运营成本）和子问题（最小化常规电机电能生产成本，缩减可再生能源的生产和负载）间相互迭代。其中子问题由基于内点方法的非线性规划求解。此外，通过在考虑或不考虑可再生能源的条件下对比扩展规划，进一步评估间歇式可再生能源对TEP的影响。

结论

使用IEEE Reliability Test System 79（RTS79）测试所述方法，并评估间歇式可再生能源对TEP的影响。结果显示，相较其他方法本文所述最优化方法能够给出更为稳健的结果；而且，间歇式可再生能源对TEP的影响是应当纳入考虑范围的。

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.

关键词

Keywords

references

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