Abstract
Transmission expansion planning (TEP) is one of the key decisions in power systems. Its impact on the system?s operation is excessive and long-lived. The aim of TEP is to determine new transmission lines effectively for a current transmission grid to fulfill the model objectives. However, to obtain a solution, especially under uncertainty, is extremely difficult due to the nonlinear mixed-integer structure of the TEP problem. In this paper, first genetic algorithm (GA) approaches for TEP are reviewed in the literature and then a new hybrid GA with linear modeling is proposed. The proposed GA method has a flexible structure and the effectiveness of the method is assessed on Garver 6-bus, IEEE 24-bus, and South Brazilian test problems in the literature. It is observed that newly proposed hybrid GA shows a rapid convergence on the test problems. Scenarios are then generated for uncertainties such as change in demand, oil prices, environmental issues, precipitation amounts, renewable generation, and production failures. Numerical results demonstrate that test problems are resolved successively under uncertainty conditions with the proposed hybrid algorithm.
Highlights
Electricity is a crucial resource due to its social, economic, and strategic aspects
The proposed hybrid method is tested for the Garver 6-bus [15], IEEE 24-bus [52], and South Brazilian [53] data
The proposed algorithm finds the optimum solution for the Garver 6-bus station without a generation resizing example in less than 1 s in 3 iterations
Summary
Electricity is a crucial resource due to its social, economic, and strategic aspects. Governments, businesses, and societies cannot operate at full capacity without adequate sources of power, and this is an obstacle to economic growth. The absence of electricity is a negative factor that directly affects the public welfare [1]. Electric energy is the result of many systems working together and an indispensable part of our daily life. As an activity at one location affects other locations, the system must always be in balance to ensure reliable operation. Electrical energy systems become available with the implementation of four basic operations. These operations are electricity generation, electricity transmission, electricity distribution, and electricity consumption
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