Reactive Power Compensation Optimization Planning for Distribution Networks Using Tabu Search Algorithm
Reactive Power Compensation Optimization Planning for Distribution Networks Using Tabu Search Algorithm to Reduce Network Losses
Tabu Search (TS) Algorithm for Reactive Power Optimization in Distribution Networks
Excellent research paper and corresponding source code on reactive power optimization planning in power system distribution networks. Reactive power optimization is an effective method to ensure safe and economical operation of distribution networks, serving as a crucial measure for reducing network losses and improving voltage quality. This study addresses the complex nonlinear combinatorial optimization problem of distribution system planning using Tabu Search algorithm with code implementation focusing on fixed shunt capacitor placement for reactive power compensation.
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.