This paper reports the development and implementation of a new distributed computing approach for piecewise analysis of large-scale electrical networks using Diakoptics and Large Change Sensitivity (LCS) concepts. Detailed analysis of such bulk and complex systems in a secure and federative manner based only on local computational resources is the greatest benefit realized by this method of analysis, here referred to as Global Network Simulation (GNS). Application of this method is described for Fast Decoupled Load Flow (FDLF), though it can be potentially developed for other computational routines simply by inspection. This method Provides the same convergence characteristic as the original untorn FDLF and leads to the same results. Two innovative techniques, are employed, i.e. bus tearing and symmetrical shunt elements, respectively, to facilitate the network decomposition process, and to resolve the ill-conditioning problem in a much easier way than temporary slack buses. The multi-computer platforms, whether tightly or loosely coupled, can be used to implement the proposed method. The GNS methodology has been practically embedded in a well-established software package called PASHA. Using this software, various networks up to 3000 buses have been successfully subjected to distributed simulation across computer networks.

In this study, water resources system of Great Karun watershed is modelled as a semi-distributed system considering the diversity of demand sites downstream of Olya Gotvand and Dez reservoirs in southwest of Iran. The main aim of the present study is to develop a basin's decision-support system to assist decision-makers in examining the impacts of different operating policies prior to their implementation. According to the basic characteristics of the system, a decision-support system is developed applying water evaluation and planning system (WEAP) model. Calibration of the developed model is important based on the Demand sites diversity and the spatial scale of the modelled basin. To calibrate the simulation model, a Harmony Search (HS) Optimization Algorithm is applied in an innovative framework. The comparison of the achieved results with the observed data indicates the accuracy of the calibrated model. It is also clear that, regardless of the quality parameters of the flow, all urban, industrial, agricultural and aquaculture demands at the basin level have been satisfactorily fulfilled in the study period. Of course, it should be noted that by taking into account the qualitative criteria, the obtained results will obviously change.

This paper presents a multi-objective formulation for optimal sizing and sizing of distributed generation (DG) resources in distribution systems in order to minimize the cost of power losses and energy not supplied. The implemented technique is based on a genetic algorithm (GA) and weight method that employed to obtain the best compromise between these costs. Simulation results on 33-bus distribution test system are presented to demonstrate the effectiveness of the proposed procedure.

This paper discusses the incorporation of the Hybrid Swarm Evolutionary Programming (SEP) for optimal distributed generation (DG) in the distribution system. High load demand will result in unstable control power distribution due to power transmission loss. The compensation process can be implemented by installing a compensation device to prevent this from happening. It is required the optimal sizing and location for the devices to achieve the objective and this can be done by using an optimization technique. Thus, this project aims to develop a hybrid computational intelligence technique is called hybrid SEP for loss minimization. The proposed method embedded the element of Particle Swarm Optimization (PSO) into traditional Evolutionary Programming (EP) to improve precision of traditional EP algorithm. The purpose of this study is to investigate the maximum benefits of DG integration to be gained. The proposed techniques are validated on IEEE-69 bus radial system with multiple units of DG. The results showed that the most effective type of DG inject to IEEE-69 bus radial system is with DG Type III, with 95% of active power loss reduction and the best on voltage profile improvement. Hybrid SEP shows superior to EP in term of loss minimization.