Long-Term Multiyear Transmission Expansion Planning in Turkish Power System

IF 1.9 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Ahmet Ova, Erdi Dogan, Sevki Demirbas
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Abstract

To sustain the clean energy transition without interruption and to ensure the reliable operation of the transmission system, it is required to have enough additional transmission capacity in the future horizons. The transmission expansion planning (TEP) problem is a core issue in deciding additional transmission capacity in the planning activities. TEP aims to find the best expansion plan while satisfying technical and economic constraints. In this study, a new binary version of the original FBI algorithm called the BFBI (binary forensic-based investigation) algorithm is developed to solve the binary TEP problem. The effectiveness and performance of the developed BFBI are assessed by implementing it in two different test systems: the standard Garver 6-bus test system and the modified 400 kV Turkish grid. Seasonal scenarios are created for 5- and 10-year planning periods to cover all possible generation and load conditions and to assess the impact of the increased share of RES on the grid in the TEP studies conducted for the modified 400 kV Turkish grid created as a bulk realistic grid. The TEP problem is solved by including investment, reliability, and operational costs in two different objective functions for cases while considering the N-1 contingency criterion. The efficacy and robustness of the BFBI algorithm are justified by comparing it with well-known algorithms such as GA and PSO.

Abstract Image

土耳其电力系统的长期多年输电扩建规划
为了不间断地维持清洁能源转型并确保输电系统的可靠运行,需要在未来范围内增加足够的输电容量。输电扩容规划(TEP)问题是规划活动中决定新增输电容量的核心问题。TEP 的目的是在满足技术和经济约束的前提下找到最佳的扩容计划。在本研究中,为解决二进制 TEP 问题,开发了原始 FBI 算法的新二进制版本,称为 BFBI(基于二进制取证的调查)算法。通过在两个不同的测试系统(标准 Garver 6 总线测试系统和修改后的 400 kV 土耳其电网)中实施所开发的 BFBI 算法,对其有效性和性能进行了评估。为 5 年和 10 年规划期创建了季节性情景,以涵盖所有可能的发电和负荷条件,并评估在对修改后的 400 千伏土耳其电网进行的 TEP 研究中,可再生能源份额增加对电网的影响。在考虑 N-1 应急标准的情况下,通过将投资、可靠性和运营成本纳入两个不同的目标函数来解决 TEP 问题。通过与 GA 和 PSO 等著名算法的比较,证明了 BFBI 算法的有效性和稳健性。
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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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