الفهرس | Only 14 pages are availabe for public view |
Abstract In this thesis, enhancement of the electrical distribution systems performance is achieved by applying different methods which include installing shunt capacitors, distributed generation (DG) units and distributed static synchronous compensator (DSTATCOM) in the radial distribution system at specified locations with proper sizes within predefined constraints. The importance of installing these devices and units on radial distribution systems is essential for improving the system overall voltage profile , power flow control, enhancing voltage stability, power factor correction, enhancing power quality, reducing electrical power loss in distribution level, and strengthening system reliability accompanied by economic benefits and cost reduction . It is necessary to determine the optimal size and location of installed units in the electrical network to gain the most benefits of these devices. The solution techniques are categorized into four categories; analytical, numerical programming, heuristic, and artificial intelligence-based (AI-Based). Two nature inspired AI-Based methods are introduced and used for the first time to solve that kind of optimization problems. Results of the proposed techniques are compared with previous methods used to solve the same problem in order to show the superiority of the proposed technique using many actual distribution feeders (e.g. 15 bus, 33 bus, and 69 bus feeders). These new simple techniques have the capability to find the best results for maximum minimization in system power losses, improving system voltage profile and decreasing costs among all previous studied techniques. The thesis presents the modified whale optimization algorithm is reviewed and explained to show its effectiveness in solving the capacitor allocation problem and distributed generation allocation problem. Also the improved grey wolf optimization algorithm is reviewed and explained to present its effectiveness in solving the DSTATCOM allocation problem. Both algorithms are a set of known arranged steps guaranteed to find the global optimal solution. The research ensures that these new used optimization techniques are dependable for solving the capacitor, DG and DSTATCOM allocation problem for radial distribution networks. For any radial feeder topology, the proposed methods find the maximum power loss and cost reduction accompanied by better system voltage profile without violation the problem predefined constraints. The techniques converge to the optimal solution with high quality. Also the coding of the techniques is simple and provides more accurate results. Another topic is studied in this thesis which is the optimal control of DSTATCOM by adjusting PI controllers using an accelerated whale optimization algorithm in order to achieve voltage stability and power quality improvement. Up till now, three papers have been published in Scopus index international journals. |