Heuristic and Metaheuristic Optimization Techniques with Application to Power Systems
نویسنده
چکیده
The development of modern wide-area power systems, as well as recent trends towards the creation of sustainable energy systems have given birth to complex studies addressing technical, but also economical and environmental, aspects related to simple or multi-objective optimization problems. Recently, heuristic and metaheuristic approaches that apply combinations of different heuristics with or without traditional search and optimization techniques were proposed to solve such problems. This paper provides basic knowledge about most widely used (meta)heuristic optimization techniques, and their application in optimization problems in power systems. Key-Words: Heuristic optimization, Metaheuristic optimization, Power systems, Efficiency.
منابع مشابه
Generator maintenance scheduling in power systems using metaheuristic-based hybrid approaches
The effective maintenance scheduling of power system generators is very important for the economical and reliable operation of a power system. his represents a tough scheduling problem which continues to present a challenge for efficient optimization solution techniques. This paper resents the application of metaheuristic approaches, such as a genetic algorithm (GA), simulated annealing (SA) an...
متن کاملAn Efficient Meta Heuristic Algorithm to Solve Economic Load Dispatch Problems
The Economic Load Dispatch (ELD) problems in power generation systems are to reduce the fuel cost by reducing the total cost for the generation of electric power. This paper presents an efficient Modified Firefly Algorithm (MFA), for solving ELD Problem. The main objective of the problems is to minimize the total fuel cost of the generating units having quadratic cost functions subjected to lim...
متن کاملIIR System Identification Using Improved Harmony Search Algorithm with Chaos
Due to the fact that the error surface of adaptive infinite impulse response (IIR) systems is generally nonlinear and multimodal, the conventional derivative based techniques fail when used in adaptive identification of such systems. In this case, global optimization techniques are required in order to avoid the local minima. Harmony search (HS), a musical inspired metaheuristic, is a recently ...
متن کاملApplication of Particle Swarm Optimization and Genetic Algorithm Techniques to Solve Bi-level Congestion Pricing Problems
The solutions used to solve bi-level congestion pricing problems are usually based on heuristic network optimization methods which may not be able to find the best solution for these type of problems. The application of meta-heuristic methods can be seen as viable alternative solutions but so far, it has not received enough attention by researchers in this field. Therefore, the objective of thi...
متن کاملNetwork Planning Using Iterative Improvement Methods and Heuristic Techniques
The problem of minimum-cost expansion of power transmission network is formulated as a genetic algorithm with the cost of new lines and security constraints and Kirchhoff’s Law at each bus bar included. A genetic algorithm (GA) is a search or optimization algorithm based on the mechanics of natural selection and genetics. An applied example is presented. The results from a set of tests carried ...
متن کامل