Comprehensive Analysis of Approaches for Transmission Network Expansion Planning

被引:0
|
作者
Ndlela, Nomihla Wandile [1 ]
Moloi, Katleho [1 ]
Kabeya, Musasa [1 ]
机构
[1] Durban Univ Technol, Dept Elect Engn, ZA-4000 Durban, South Africa
来源
IEEE ACCESS | 2024年 / 12卷
关键词
Planning; Power transmission lines; Uncertainty; Power system stability; Renewable energy sources; Reliability; Power systems; Investment; Power generation; Costs; Current power network; electricity market; reliability; renewable energy integration; TEP optimization techniques; TNEP challenges; OF-THE-ART; LINEAR-PROGRAMMING APPROACH; SYSTEM EXPANSION; POWER-SYSTEMS; RENEWABLE ENERGY; OPTIMIZATION ALGORITHM; ROBUST TRANSMISSION; GENETIC ALGORITHM; WIND POWER; GENERATION;
D O I
10.1109/ACCESS.2024.3519180
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Research has been conducted on transmission network expansion planning (TNEP) in recent years. TNEP is an essential component of power network planning that identifies the specific locations, timing, and quantity of additional transmission lines to be included in the network. Renewable energy (RE) has found extensive applications in several areas, including grid connectivity, small-scale enterprises, and residential settings such as photovoltaic (PV) solar systems. This study seeks to incorporate RE sources into transmission lines to enhance their capacity. It presents a comprehensive overview of the most recent advancements in the field of transmission line expansion techniques. This study aims to provide a thorough analysis and evaluation of the current methodologies employed in the expansion of transmission lines. It examines various approaches, methodologies, and technologies utilized in the expansion process, highlighting their advantages, limitations, potential implications, reliability in Transmission expansion planning (TEP), distributed generation, electrical markets, insecurity, line congestion, and reactive power planning (RPP). It also provides a thorough examination of advanced transmission expansion planning models that incorporate the integration of various renewable energy sources using enhanced optimization techniques and algorithms. It aims to identify the use of RE in transmission lines. This study aims to provide the experts with a thorough comprehension of the current literature on TNEP. It offers recommendations for future endeavours, including assessing grid resilience during the incorporation of renewable energy and improving the accuracy of demand forecasts by employing big data analytics and machine learning.
引用
收藏
页码:195778 / 195815
页数:38
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