Optimal Transmission Switching for Congestion Management and Cost Reduction Using Linearized AC Optimal Power Flow

IF 1.9 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC International Transactions on Electrical Energy Systems Pub Date : 2025-02-25 DOI:10.1155/etep/3620842
Mohammad Habibi, Ali Zangeneh
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Abstract

Several approaches have been introduced to manage congestion in transmission lines while simultaneously reducing the generation cost of power systems. Two of these approaches, namely, generation rescheduling and transmission switching are used together in this article. Changing the system topology through optimal transmission switching (OTS) is an important and active research area in power systems for this purpose. Essentially, OTS is a mixed-integer nonlinear programming (MINLP) problem that is inherently nonlinear and nonconvex. Therefore, solving this nonlinear problem poses significant challenges for researchers. On one hand, there is no guarantee of reaching a global optimal solution, and on the other hand, issues such as the lack of convergence and increased solution time have made it difficult to solve the OTS problem. Linearizing the OTS problem provides a guaranteed method for reaching a comprehensive optimal solution. This study presents a new linear mathematical model for the OTS problem. The proposed model is solved using mixed-integer linear programming (MILP), which accurately determines the opening or closing status of transmission lines and the number of lines that should be opened to reduce the generation and congestion costs in the network. To this aim, a linear programming and piecewise approximation, along with Taylor’s series approximation method, is used to linearize the generation cost function, and AC optimal power flow equations. To reduce the solution time of the OTS problem without losing accuracy, a congestion cost index is used based on decreasing the total congestion cost of transmission lines, as well as the production cost of generators. The proposed model is implemented on IEEE 9-bus and IEEE 118-bus standard test systems. Also, in order to analyze the reliability of the system before and after switching, two methods of contingency analysis and calculation of the LOLP index have been used. The obtained results show that transmission switching can reduce the generation cost and the total power system congestion cost as well.

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利用线性化交流优化功率流进行优化输电切换以管理拥塞并降低成本
在降低电力系统发电成本的同时,已经引入了几种方法来管理输电线路的拥塞。本文将使用其中的两种方法,即生成重调度和传输交换。通过最优传输交换(OTS)改变系统拓扑结构是电力系统中一个重要而活跃的研究领域。OTS本质上是一个混合整数非线性规划(MINLP)问题,其本质是非线性和非凸的。因此,解决这一非线性问题对研究人员提出了重大挑战。一方面,不能保证达到全局最优解,另一方面,缺乏收敛性和求解时间增加等问题使得求解OTS问题变得困难。对OTS问题进行线性化处理,为得到综合最优解提供了保证。本文提出了一种新的求解OTS问题的线性数学模型。该模型采用混合整数线性规划(MILP)求解,能够准确地确定输电线路的开闭状态和需要开通的线路数量,以降低电网的发电和拥塞成本。为此,采用线性规划和分段逼近法,结合泰勒级数逼近法,对发电成本函数和交流最优潮流方程进行线性化。为了在不损失精度的前提下缩短OTS问题的求解时间,采用了一种基于降低输电线路总拥塞成本和发电机生产成本的拥塞成本指标。该模型已在IEEE 9总线和IEEE 118总线标准测试系统上实现。为了分析系统切换前后的可靠性,本文采用了偶然性分析和LOLP指数计算两种方法。研究结果表明,输电交换可以降低发电成本和电力系统的总拥塞成本。
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来源期刊
International Transactions on Electrical Energy Systems
International Transactions on Electrical Energy Systems ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
6.70
自引率
8.70%
发文量
342
期刊介绍: International Transactions on Electrical Energy Systems publishes original research results on key advances in the generation, transmission, and distribution of electrical energy systems. Of particular interest are submissions concerning the modeling, analysis, optimization and control of advanced electric power systems. Manuscripts on topics of economics, finance, policies, insulation materials, low-voltage power electronics, plasmas, and magnetics will generally not be considered for review.
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