Hadi Zayandehroodi

Optimum placement of active power conditioner in distribution systems using improved discrete firefly algorithm for power quality enhancement

This paper presents an improved solution for optimal placement and sizing of active power conditioner (APC) to enhance power quality in distribution systems using the improved discrete firefly algorithm (IDFA). A multi-objective optimization problem is formulated to improve voltage profile, minimize voltage total harmonic distortion and minimize total investment cost. The performance of the proposed algorithm is validated on the IEEE 16- and 69-bus test systems using the Matlab software. The obtained results are compared with the conventional discrete firefly algorithm, genetic algorithm and discrete particle swarm optimization. The comparison of results showed that the proposed IDFA is the most effective method among others in determining optimum location and size of APC in distribution systems.

Reliability worth analysis of distributed generation enhanced distribution system considering the customer cost model based on optimal radial basis function neural network

Reliability worth evaluation is one of the most important functions in power system planning and operations. The costs incurred by consumers, customer interruption costs (CIC), as a result of interruptions in their electricity supply are deemed key gnomon of customer expectations and therefore of reliability cost/worth. Hence, the authenticity of the reliability worth evaluation is directly related to choose proper interruption cost model. In this paper, an average or aggregated reliability cost model (AAM) is proposed by using the new radial basis function neural network (RBFNN) with optimum steepest descent (OSD) learning algorithm. The failure mode effect analysis technique (FMEA) is adopted for reliability worth assessment. In addition, the impact of introducing distributed generation units (DG) into the system is presented. The description of the proposed method is tested by evaluating the reliability worth of a radial distribution test system. The results indicate that using the proposed RBFNN in AAM can ensue in accurate understanding the reliability worth.

On Exploring Potential Reliability Gains Under Islanding Operation of Distributed Generation

The paper presents a subislanding approach based on two algorithms, a backtracking algorithm, which is used to detect the exact location of distributed generation based on renewable energy sources (DGRESs) to establish subislands in the distribution networks and a protection co-ordination algorithm, which is used to identify the fault location. The IEEE reliability busbar test system is used for algorithm qualification, with several case studies and sensitivity analyses employed to verify the proposed algorithms. The probabilistic-based analytical technique along with the customer interruption cost model is then used to evaluate reliability improvements. The results presented in the paper indicate that the proposed approach is effective in increasing the reliability of power distribution systems with high penetration of DGRESs while providing an online reliability assessment.

New training strategies for RBF neural networks to determine fault location in a distribution network with DG units

This paper presents a new Radial Basis Function Neural Network with Optimum Steepest Descent (RBFNNOSD) learning algorithm for identifying the exact faulty line section in the distribution network with high penetration level of Distributed Generation (DG) Units. In the proposed method, to determine the exact fault location, two RBFNN-OSD have been developed for various fault types. The first RBFNN-OSD is used for predicting the fault distance from the source and all DG units while the second RBFNN is used for identifying the exact faulty line. Several case studies have been simulated to verify the accuracy of the proposed method. Furthermore, the results of RBFNN-OSD and RBFNN with conventional steepest descent algorithm are also compared. The results show that the proposed RBFNN-OSD can accurately determine the location of faults in a test given distribution system with several DG units.

Prevention of overcurrent relays miscoordination in distribution system due to high penetration of distributed generation

The introduction of distributed generation (DG) units provided an opportunity to enhance the reliability of distribution networks. However, it is expected that DG contribution in fault current can affect existing protective devices, especially overcurrent relays (OC) coordination. The system reliability can deteriorate when protective devices lose their coordination and the problem is more complicated in case of high penetration of DG units. Accordingly, in this paper a protection coordination scheme is proposed to prevent the reliability degradation from OC relays miscoordination. The description of the proposed method is tested by evaluating the reliability indices of a radial distribution test system. The results verified the effects of proposed coordination strategy on improving the reliability indices of the test system.

The importance of E-collaboration in SMEs by project management approach a review

Small and medium size enterprises (SMEs) are a part of the industrial economies and faster completion of projects continues to be an important problem in project management in SMEs. As global competitive pressure increases and product life cycles compress, companies are trying to shorten product development cycles by communication and coordination. On the other hand, E-collaboration and collaborative systems bring geographically dispersed teams together, supporting communication, coordination and cooperation. This paper presents a review of research in the area of new product development by E-collaboration through project management approach in SMEs. By investigation in previous literature, we reviewed and present an operational definition of the term project management, and a historical review of the development of E-collaboration. That is followed by an introductory SMEs and new product.

Sub-islanding approach to improve the reliability of power distribution systems considering distributed generation

Improving reliability of power distribution systems is an important consideration for utilities especially when high penetration of distributed generation based on renewable energy sources (DGRESs) is considered. Under faults that result in loss of mains, reliability enhancement can be achieved by operating these sources in the islanding mode hence continuing to supply certain customer loads. This paper presents a novel sub-islanding approach based on two algorithms: a backtracking algorithm which is used to detect the exact location of DGRESs to establish sub-islands in the distribution networks, and a protection coordination algorithm which is used to identify the fault location. The IEEE Roy Billinton test system is used for algorithm qualification with several case studies. The failure mode effect analysis technique along with the developed customer interruption cost model is then used to evaluate the reliability improvements. The results presented in the paper indicate that the proposed approach is effective in increasing the reliability of the power distribution systems with high penetration of DGRES.