Multi-Objective Optimization Algorithms for Deregulated Power Market
Power engineers are constantly trying to develop multi-dimensional objectives for power networks. But as the numbers of constraints are increasing day by day, it has become a mammoth task to reach an optimum solution with classical techniques. In an endeavour optimize system performance the work presented in this chapter has been dedicated to the search for multiobjective solution algorithms to present-day power network problems like loss of sustainability, line congestion and cost volatility with the effective utilization of expert systems like genetic algorithm (GA), particle swarm optimization (PSO) and differential evolution (DE) and by the development of indices like ...
Get Electricity Pricing now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
