Power Grid Planning Using Genetic Algorithms

Application of genetic algorithms for power grid planning, specifically in transmission network optimization. This research proposes a genetic algorithm-based transmission network planning model that minimizes the combined cost of new line investments and annual system operational expenses. The mathematical model incorporates N-1 contingency analysis to ensure planning scheme rationality, demonstrated through optimization of the Garver-6 bus system with implementation of chromosome encoding and fitness evaluation methods.