The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper proposes the Self-learning Cuckoo search algorithm to solve Multi-Area Economic Dispatch problems. The main objective of multi-area economic dispatch is to minimize the total fuel cost while satisfying balanced-power constraint in each area and limitations of generators and transmission lines. In addition, the proposed method is an improvement of the Cuckoo search algorithm with a new strategy...
This paper proposes an improved Cuckoo search algorithm to solve optimal power flow problems in electric power system. The proposed Self-learning Cuckoo search algorithm enhances the performance of Cuckoo eggs by employing the learner phase of Teaching-learning-based optimization. The learner phase leads Cuckoo eggs to follow better solutions. The proposed method has been applied for solving optimal...
This paper proposes a Hybrid Cuckoo search algorithm to solve Multi-area economic dispatch problem (MAED). Hybrid Cuckoo search algorithm is a combination of the Cuckoo search algorithm and Teaching-learning-based optimization, where the learner phase of TLBO is added to improve performance of Cuckoo eggs. The proposed method has been applied for solving three tested cases of Multi-area economic dispatch...
This paper presents an application of Cuckoo search algorithm to determine location and sizing of Static Var Compensator (SVC). The objective of this problem is to reconfigure the electric power system by installing SVC devices. The objective function considers loss power, voltage deviation and operational cost of SVC and other operating constraints in power system. Cuckoo search algorithm is evaluated...
This paper presents comparison of three kinds of meta-heuristic optimization to determine location and sizing of Static Var Compensator (SVC). The optimization methods are Particle Swarm Organization (PSO), Improved Harmony Search (IHS) and Cuckoo Search Algorithm (CSA). The multi-objective function of this problem considers loss power, voltage deviation and operational cost of SVC. All of methods...
This paper proposes an evolutionary harmony search (EHS) algorithm for solving economic dispatch (ED) problem with various non-convex objective functions. The proposed EHS is a harmony search algorithm, in which each new created harmony from the harmony memory of harmony search algorithm is based on evolutional idea. The proposed EHS has been tested on 13-unit, 40-unit and 140-unit power systems with...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.