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基于输电系统运营商经济技术目标的含风电场电力系统双层扩展规划

Bi-level expansion planning of power system considering wind farms based on economic and technical objectives of transmission system operator.

作者信息

Chen Ran, Basem Ali, Shami Hayder Oleiwi, Alfalahi Saad T Y, Al-Rubaye Ameer H, Ouyang Min, Zhang Jinju, Amini Shiva

机构信息

School of Electronic Science and Engineering, Hunan University of Information Technology, Changsha, 410151, China.

Faculty of Engineering, Warith Al-Anbiyaa University, Karbala, 56001, Iraq.

出版信息

Heliyon. 2024 Sep 26;10(19):e38468. doi: 10.1016/j.heliyon.2024.e38468. eCollection 2024 Oct 15.

DOI:10.1016/j.heliyon.2024.e38468
PMID:39403535
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11471476/
Abstract

Planning for the expansion of generation and transmission infrastructure, with a focus on integrating wind farms is presented in this study according to the goals of economic efficiency, operational performance, security, and reliability of the transmission system operator. The approach incorporates a bi-level optimization framework, with the upper level outlining the formulation of power system expansion planning to reduce construction and operational costs while adhering to the investment budget limits. In the lower-level model, which economic reliable-secure functioning is formulated for the transmission network. The objective function of the problem aims to minimize operational costs, energy losses, and anticipated energy not supplied, and the voltage security index. The constraints of this problem include AC optimal power flow model, security, and reliability limits. Scheme extracts a convex-linear model for the formulation using the conventional linearization technique. Pareto optimization driven by the aggregation of weighted functions results in a single-objective framework for the lower-level problem, and the Karush-Kuhn-Tucker technique presents a single-level model for the scheme. The approach utilizes stochastic optimization has been adopted to model load, wind farms, and network equipment availability uncertainties. Finally, the study cases yielded numerical findings that showcase the efficacy of the proposed scheme in achieving the desired economic, operational, security, and reliability status within the transmission network. This is particularly true in situations where there is appropriate generation and transmission expansion.

摘要

本研究根据输电系统运营商的经济效率、运营绩效、安全性和可靠性目标,提出了以整合风电场为重点的发电和输电基础设施扩建规划。该方法采用了双层优化框架,上层概述了电力系统扩建规划的制定,以在遵守投资预算限制的同时降低建设和运营成本。在下层模型中,为输电网络制定了经济可靠安全运行方案。该问题的目标函数旨在最小化运营成本、能量损耗、预期未供电能量和电压安全指标。该问题的约束条件包括交流最优潮流模型、安全性和可靠性限制。该方案使用传统线性化技术提取了一个凸线性模型用于公式化。由加权函数聚合驱动的帕累托优化为下层问题产生了一个单目标框架,而卡鲁什-库恩-塔克技术为该方案提出了一个单层模型。该方法采用了随机优化来模拟负荷、风电场和网络设备可用性的不确定性。最后,研究案例得出的数值结果表明了所提方案在实现输电网络内期望的经济、运营、安全和可靠性状态方面的有效性。在有适当发电和输电扩建的情况下尤其如此。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da7/11471476/651d4ed26e36/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da7/11471476/2df0ead6299b/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da7/11471476/39e413c11574/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da7/11471476/047f095a66d5/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da7/11471476/65ce14f23521/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da7/11471476/d4d61afe816c/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da7/11471476/91e18309aab0/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da7/11471476/651d4ed26e36/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da7/11471476/2df0ead6299b/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da7/11471476/39e413c11574/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da7/11471476/047f095a66d5/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da7/11471476/65ce14f23521/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da7/11471476/d4d61afe816c/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da7/11471476/91e18309aab0/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da7/11471476/651d4ed26e36/gr7.jpg

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