Structured controller parameter tuning for power systems

Efficient and Robust Parameter Tuning for Heuristic Algorithms

The main advantage of heuristic or metaheuristic algorithms compared to exact optimization methods is their ability in handling large-scale instances within a reasonable time, albeit at the expense of losing a guarantee for achieving the optimal solution. Therefore, metaheuristic techniques are appropriate choices for solving NP-hard problems to near optimality. Since the parameters of heuristi...

Controller Design For Distributed Parameter Systems

Tuning of fuzzy logic controller using an improved black hole algorithm for maximizing power capture of ocean wave energy converters

Seas and oceans are the most important sources of renewable energy in the world. The main purpose of this paper is to use an appropriate control strategy to improve the performance of point absorbers. In this scheme, considering the high uncertainty in the parameters of the power take-off system in different atmospheric conditions, a new improved black hole algorithm is introduced to tune fuzzy...

An Efficient Optimal Fractional Emotional Intelligent Controller for an AVR System in Power Systems

In this paper, a high-performance optimal fractional emotional intelligent controller for an Automatic Voltage Regulator (AVR) in power system using Cuckoo optimization algorithm (COA) is proposed. AVR is the main controller within the excitation system that preserves the terminal voltage of a synchronous generator at a specified level. The proposed control strategy is based on brain emotional ...

Tuning Computer Systems with Structured Bayesian Optimization

✓ ✗ ✗ Makes use of programmer's understanding Profiling tools to see runtime properties Needs a lot of programmer time Solution is specific to the environment and input Current Approach I: Manually tune the system Tuning Computer Systems with Structured Bayesian Optimization Valentin Dalibard, Eiko Yoneki Cambridge University Computer Laboratory [email protected] Example Problem: B...