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.
In this paper, the application of genetic algorithm (GA) to energy management of isolated power system is discussed. A method to realize the simultaneous optimization of configuration and operation with emergency generators (EGs) in a hospital is proposed as an example. The simultaneous optimization of configuration and operation needs search of enormous combinations, which is generally considered...
Biogeography is defined as the investigation of dispersion of biological species in ecosystem and it can analogous to the mathematical optimization problems in the field of engineering, medical science, economic science, sport, business enterprise, town future planning and so on. The proposed Improved Biogeography Based Optimization (IBBO) algorithm is roused on fundamental basis of scientific mechanisms...
In this paper, a phase balancing algorithm is developed to balance the load at each candidate node of the secondary distribution network from tail end of the feeder by rearranging the connections of consumer load/ service laterals. Phase balancing is a concept of re-phasing service laterals such that load on three phases is balanced. The algorithm is designed to handle three, two and single phase...
This paper presents using the Bees algorithm approach to multi-objective optimal economic dispatch of electrical power systems. The generation of electricity from the fossil fuel releases several contaminants, such as sulfur oxides, nitrogen oxides and carbon dioxide, into the atmosphere. Genetic algorithmic approach to power system optimization, as reported here for a case of economic power dispatch,...
Genetic algorithm (GA) is widely used in the electric energy systems. GA can serve to find solution of optimization problem with the reasonable time and resources. GA is defined with parameters and selection criteria. The dispatcher receives the results of the optimization with using GA for the subsequent analysis and using in electric energy system. In recent years the mathematicians achieved the...
The paper is focusing on transmission network expansion planning (TNEP) problem solved using artificial intelligence techniques. It is divided into two parts. The 1st part is dedicated to the particle swarm optimization (PSO) and genetic algorithm (GA) concepts and mechanisms. The mathematical models and the associated software tool are also presented. Practical considerations are discussed. The 2...
In this paper, the service restoration problem has been formulated as a multi-objective, multi-constrained, and combinatorial optimization problem. The preferential knowledge of the various objective functions considered herein is known a priori. The first objective function (minimization of out-of-service area) has been kept at the first preference. The objective function of minimization of manually...
Although good application effect of locating faulty section in complex distribution network can be attained by applying ant colony algorithm, however there are also disadvantages such as too long search time and computation time. For this reason, traditional ant colony algorithm should be improved. Firstly, a switching function that can dynamically adapt to topological structure of distribution network...
On the base of the special configuration of distribution network, solved generating a large number of infeasible solutions in reconfiguration of distribution network by using cyclic coding strategy, this paper proposed corresponding decimal encoding and its mutation, crossover and selection operators. For the previous discussion about radial structure decision, further cleared its definition, figured...
Reconfiguration is to reconfigure the topological structure of distribution networks optimally. The artificial intelligence optimization algorithms are effective in solving reconfiguration problems. The coding scheme, as the base of AI algorithm application, is to represent the solution schemes by serials of numbers. The efficiency of coding scheme affects the quality and speed of optimization. A...
Distributed power generation is a small-scale power generation technology that provides electric power at a site closer to customers than the central generating stations. The Distributed Generation (DG) has been created a challenge and an opportunity for developing various novel technologies in power generation. The proposed work discusses the primary factors that have lead to an increasing interest...
A scheduling model of thermal power units based on cultural algorithms is proposed to minimize the optimization of the objective function. The algorithm uses the good individual information stored in the Knowledge Space to control the iteration of Population Space. Thus the individuals can inherit the better features of previous generation in the iteration process, to improve the search efficiency...
Reactive power optimization in power system is a typical non-linear optimization problem with characteristics of multi-objective, multi-constrained, non-linear combination and discreteness. Conventional mathematical programming techniques are inadequate and insufficient to the optimal operation of power systems due to the inherent complexity. A solution to reactive power optimization of power system...
Optimal placement and sizing of Distributed Generation (DG) and capacitor for the loss reduction in distribution networks is of utmost importance. Therefore, in this paper by means of using new method of generalized pattern search and genetic algorithm are elaborated and compared with another. Another fact is the direct link between PSAT with the two previous methods. For the generation of this relationship...
Automotive steering system is used to change the direction and keep vehicles traveling straight. Electric power steering system (EPS) can improve vehicle handling performance and economy, has become one of hot spots on research and development in modern automobile steering system. Worm gears are important components of the electric power steering system; its transmission efficiency shall affect directly...
This paper presents an application of Bees Algorithm (BA) for solving various types of Economic Dispatch (ED) problem. Complete ED problem formulation prohibited, operating zones, ramp-rate limits, and non-smooth or non-convex cost functions arising from the use of multiple fuels should be taken into consideration. To show its efficiency, the Bee algorithm is applied to solve various types ED problems...
The paper proposes a comparison between nonlinear optimization and genetic algorithms for optimal location and sizing of distributed generation in a distribution network. The objective function consists of both power losses and investment costs and the methods are tested on the IEEE 69-bus system. The study covers a comparison between the proposed approaches and shows the importance of installing...
A fractional order PID (FOPID) controller to damp inter area oscillations of power systems is studied. FOPID is a PID whose derivative and integral orders are fractional rather than integer. The difficulty of design a FOPID controller is how to determine the five key parameters of FOPID. This paper uses genetic algorithm particle swarm optimization (GAPSO) algorithm to design the FOPID controller...
In this paper, the mathematical model of fault restoration is established, and presents a genetic algorithm which includes the heuristic algorithm and adaptive algorithm for solving it. The initial population is generated by the heuristic algorithm, and apply heuristic algorithm to repair the infeasible solution, the algorithm improves the convergence speed effectively. In the process of optimizing,...
In the course of realizing the economical operation of the power station, it is a very key course that the optimized distribution of units' load. So it is need a kind of very good computing method to solve this problem. This paper introduce the niche genetic algorithm to solve the optimized distribution of units' load, and while realize the concrete heredity operates, carrying on the certain improvement...
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.