The Application of Ant Colonies Algorithm in Optimal Positioning Wind Turbine Farms

Reduction of fossil fuel resources has made wind energy as one of the most prolific alternative energies in the world. Therefore, the design and operation of the wind turbine farms in many countries has become a priority. The place of installation of the wind turbines is one of the most important issues related to the design of these farms. Therefore, the characteristics of the relevant environmental and other restrictions that are usually linked to a couple of variables in the design of these sites are being considered. In this paper a new method based on Ant Colony algorithm for optimal positioning installation of wind turbine farms in the electrical distribution networks is provided. And the performance of the proposed method is tested and reviewed

The Application of Ant Colonies Algorithm in Optimal Positioning Wind Turbine Farms

Reduction of fossil fuel resources has made wind energy as one of the most prolific alternative energies in the world. Therefore, the design and operation of the wind turbine farms in many countries has become a priority. The place of installation of the wind turbines is one of the most important issues related to the design of these farms. Therefore, the characteristics of the relevant environmental and other restrictions that are usually linked to a couple of variables in the design of these sites are being considered. In this paper a new method based on Ant Colony algorithm for optimal positioning installation of wind turbine farms in the electrical distribution networks is provided. And the performance of the proposed method is tested and reviewed

Power quality improvement in distribution systems considering Optimum D-STATCOM placement

This paper presents an improved method in solving the optimization problem related to the optimum placement and sizing of the Distribution Static Synchronous Compensator (D-STATCOM) in distribution systems, which use the firefly algorithm (FA) for power quality improvement. In the proposed method, the voltage total harmonic distortion, voltage deviation, and total investment cost indices are considered as the problem sub-objective functions. The voltage and power limits for individual buses are considered as the constraints to control optimization variables. The proposed FA is implemented using the Matlab software on modified IEEE 16- and 34-bus test systems. The obtained results are compared with the particle swarm optimization and the genetic algorithm. The simulation and comparison results verify the ability of the FA to accurately determine the optimal location and size of the D-STATCOM in radial distribution systems

A Framework for Sharing Knowledge in Product Development by E-collaboration through Project Management

Abstract: In this study, the author has purposed electronic collaboration (E-collaboration) through a project manager between different departments in a factory can create a favorable environment to development the projects in terms of time and cost. In fact, the E-collaboration is a tool in hands of project managers. For this concept the author purposes, a conceptual model for sharing knowledge, which support development product. The model uses four factors, namely, design, planning, procurement and production. In addition, these factors consist of several items separately: For design department, there are four categories: (1) standard materials (2) teamwork (3) expected level of production (4) process restrictiveness. For planning department, there are three categories: (1) schedules (2) Inventory control (3) Receive progress reports. For the procurement department, there are three categories: (1) information gathering (2) background review (3) negotiation. For production department, there are two categories: (1) check on the incoming raw materials (2) change volume of production. The performance of the conceptual model tested in terms of some objectives. This test has done by interview with 20 project managers in electronic industry in Iran. The result indicated the model has accuracy for development new products in conditions of time and cost