| Researchers have shown an increased interest in distributed generation (DG) applications for compensating distribution systems. DG has considerable advantages such as power loss reduction, cost reduction, environmental friendliness, voltage improvement, postponement system upgrading and increasing reliability. There are different methods employing DG in radial distribution feeder systems. Some of these methods' algorithms are based on simplified assumptions. The proposed technique in this thesis attempts to solve the DG application problem with respect to practical concerns.;Moreover, a heuristic approach to determine the optimal size and location of DG applications is suggested. The presented technique attempts to compensate radial distribution feeders by employing a DG. The DG optimization problem is posed with due consideration of practical issues. The proposed DG technique significantly reduces the search space for optimal solution attainment. The approach is flexible and capable in satisfying different objective functions. An efficient sensitivity test is offered. Sample feeder systems are solved using this technique and a comparative study of the results is discussed with those obtained using other methods.;Keywords: Radial Distribution Feeders, Distribution Power Flow Algorithm, Solution Iteration Reductions, Distributed Generation (DG), Heuristic Optimization Technique, Sensitivity Test Analysis, Power Loss Reduction.;This thesis starts by presenting new algorithms for solving radial distribution feeders' power flow considering DG and/or shunt capacitor. First, new procedures for lateral and sublateral feeders are proposed. Second, approximation factors to reduce the solution required iterations are suggested. In addition, new correction values are presented to achieve further enhancement in the algorithm performance. These correction values attain a significant iteration reduction. The offered algorithm is different from the conventional well-known power flow methods. Computational results show the validity of the introduced enhancement process. Various sample feeder systems are tested, and the results are compared with those obtained using other methods. Test cases with different system conditions show the capability and flexibility of the developed algorithm to be useful for on-line applications. Computational testing confirms that the proposed method succeeds as a fast and easy to implement solution algorithm. |
