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1 – 10 of over 3000Hussein Mohammed Badr, Ramzy Salim Ali and Jawad Radhi Mahmood
In the vast majority of published papers, the optimal allocation of photovoltaic distributed generation (PVDG) units and reconfiguration problems are proposed along with the…
Abstract
Purpose
In the vast majority of published papers, the optimal allocation of photovoltaic distributed generation (PVDG) units and reconfiguration problems are proposed along with the number of PVDG used in the simulation. However, optimisation without selecting the number of PVDG units installed in the distribution grid is insufficient to achieve a better operational performance of power systems. Moreover, multi-objective installation of PVDG units and reconfiguration aims to simultaneously relieve congestion problems, improve voltage profile and minimise the active and reactive power losses. Therefore, this paper aims to propose a new modified camel algorithm (NMCA) to solve multi-objective problems considering radial distribution system to achieve secure and stable operation of electric power system with good performance.
Design/methodology/approach
In this paper, the decision variables include the location and size of PVDG units with specific rang to determine the number of PVDG units needed to install and open network lines determined using NMCA based on the L_∞ technique. This also satisfies the operating and radial constraints. Furthermore, a benchmark comparison with different well known optimisation algorithms has been made to confirm the solutions. Finally, an analysis of the findings was conducted, and the feasibility of solutions was fully verified and discussed.
Findings
Two test systems – the institute of electrical and electronics engineers (IEEE) 33-bus and IEEE 69-bus, were used to examine the accuracy and effectiveness of the proposed algorithm. The findings obtained amply proved the efficiency and superiority of the NMCA algorithm over the other different optimisation algorithms.
Originality/value
The proposed approach is applied to solve the installation PVDG unit’s problem and reconfiguration problem in the radial distribution system, satisfying the operating and radial constraints. Also, it minimises active and reactive power losses and improves voltage profile.
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K. Prasad, N.C. Sahoo, R. Ranjan and A. Chaturvedi
This research paper reports a novel genetic algorithm (GA)‐based approach for reconfiguration of radial distribution networks for real loss minimization and power quality…
Abstract
Purpose
This research paper reports a novel genetic algorithm (GA)‐based approach for reconfiguration of radial distribution networks for real loss minimization and power quality improvement.
Design/methodology/approach
A fuzzy controlled GA has been used for efficient reconfiguration of radial distribution systems for loss minimization and power quality improvement. The special features of the proposed algorithm are: an improved chromosome coding/decoding for network representation so as to preserve the radial property without islanding any load after reconfiguration and an efficient convergence characteristics attributed to fuzzy controlled mutation.
Findings
The proposed network reconfiguration algorithm is very much effective in arriving at the global optimal solution (minimum loss network structure) because of efficient search of the solution space. Also, no invalid chromosomes are generated in the genetic evolution because of appropriate coding/decoding. The algorithm is found to be very much suitable for real time implementations.
Research limitations/implications
This research paper provides the power distribution engineers with a computationally efficient approach for optimal operation of distribution systems.
Practical implications
The algorithm proposed in this paper is computationally much faster compared to most of the present day mathematical programming approaches for distribution system operation. This makes it very much attractive for online implementations in any radial distribution network.
Originality/value
This paper has proposed a novel chromosome coding/decoding technique for radial distribution system and a fuzzy logic‐based mutation probability controller for efficient search of global solution space to be used in GA‐based optimal operation of radial distribution systems.
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Pedro Neves, Luis Ribeiro, João Dias-Ferreira, Mauro Onori and José Barata Oliveira
This paper aims to provide a method and decision support tool to enhance swift reconfiguration of Plug&Produce (P&P) systems in the presence of continuously changing production…
Abstract
Purpose
This paper aims to provide a method and decision support tool to enhance swift reconfiguration of Plug&Produce (P&P) systems in the presence of continuously changing production orders.
Design/methodology/approach
The paper reviews different production scenarios and system design and configuration methods and more particularly specifies the need of decision support tools for P&P systems that integrate configuration and planning activities. This problem is then addressed by proposing a method that helps reduce the solution space of the reconfiguration problem and allows the timely selection of the most promising reconfiguration alternative.
Findings
The proposed method was found to be helpful in reducing the reconfiguration alternatives that need to be considered and in selecting the most promising one for different orders. The advantages and limitations of this method are identified, and an illustrative test case of the approach is presented, corroborating the method applicability in the absence of large queues in the system.
Originality/value
This paper addresses a less explored domain within the P&P systems research field, which is the system reconfiguration. It proposed a method to support system validation and reconfiguration jointly with an illustrative test case. This represents an original contribution to the P&P research field, and it can have impact in improving agility and decreasing the complexity of reconfiguration activities to cope with constantly changing production orders.
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Rafi Vempalle and Dhal Pradyumna Kumar
The demand for electricity supply increases day by day due to the rapid growth in the number of industries and consumer devices. The electric power supply needs to be improved by…
Abstract
Purpose
The demand for electricity supply increases day by day due to the rapid growth in the number of industries and consumer devices. The electric power supply needs to be improved by properly arranging distributed generators (DGs). The purpose of this paper is to develop a methodology for optimum placement of DGs using novel algorithms that leads to loss minimization.
Design/methodology/approach
In this paper, a novel hybrid optimization is proposed to minimize the losses and improve the voltage profile. The hybridization of the optimization is done through the crow search (CS) algorithm and the black widow (BW) algorithm. The CS algorithm is used for finding some tie-line systems, DG locations, and the BW algorithm is used for finding the rest of the tie-line switches, DG sizes, unlike in usual hybrid optimization techniques.
Findings
The proposed technique is tested on two large-scale radial distribution networks (RDNs), like the 119-bus radial distribution system (RDS) and the 135 RDS, and compared with normal hybrid algorithms.
Originality/value
The main novelty of this hybridization is that it shares the parameters of the objective function. The losses of the RDN can be minimized by reconfiguration and incorporating compensating devices like DGs.
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Olga W. Lemoine and Tage Skjoett‐Larsen
A large number of firms have reconfigured their supply chains. The general trends entail, among others, the reduction, centralization and re‐location of plants and distribution…
Abstract
A large number of firms have reconfigured their supply chains. The general trends entail, among others, the reduction, centralization and re‐location of plants and distribution centers, the design of new distribution systems, and the reduction of the supplier base. The analysis of the implications of such reconfiguration for freight transport has received comparatively little attention, and most of the analysis has focused on the development of different theoretical models showing how changes in logistic structures and decisions could affect the transport demand. Using empirical data from Denmark, this paper sheds some light on the implications of reconfiguration supply chains on transport. Industry mail surveys among Danish firms as well as an in‐depth case study were performed. The consequences of the reconfiguration process on the present and future demand for transport are measured and analyzed in terms of the quantity of transport units used (trucks/containers), and the transport‐work (ton/km).
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Ponnaganti Pavani and S.N. Singh
The purpose of the paper is to find the best distributed generators (DGs) location for improving reliability and reducing power loss using distribution system reconfiguration…
Abstract
Purpose
The purpose of the paper is to find the best distributed generators (DGs) location for improving reliability and reducing power loss using distribution system reconfiguration. This is implemented in the presence of the tie-switches. It proposes a search-based algorithm for the reconfiguration problem. Individual DG placement is obtained for all system configurations, and analytical hierarchy process tool is used for finding the overall best location. This is carried out for various system loadings.
Design/methodology/approach
This paper proposes a knowledge-based search algorithm which needs the base conditions of the distribution system. A detailed analysis is carried out for finding the best DG locations from the obtained DG placements for various system configurations. Simulations are rigorously carried out with the help of programming. Results from these simulations are further given to analytical hierarchy tool for obtaining the DGs location.
Findings
The findings of the paper are the DG placement for various system loadings and various system configurations and to obtain the best DG location for any system configuration. A search-based algorithm is designed for accomplishing it.
Originality/value
The proposed method identifies the placement of distributed generation at distribution systems for reliability improvement and power loss reduction which is one of the present day needs for fulfilling the raising power consumers.
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A. Augugliaro, L. Dusonchet, M.G. Ippolito and E. Riva Sanseverino
This paper deals with a new formulation of the optimal operation of electrical distribution networks problem in regular working state. In the new deregulated energy market…
Abstract
This paper deals with a new formulation of the optimal operation of electrical distribution networks problem in regular working state. In the new deregulated energy market providing reliable and economical service to customers is a primary task. The multiobjective formulation of the reconfiguration and compensation problem used in this paper considers as a primary object also the minimisation of the load nodes unavailability (UA) expressed in probabilistic terms. Therefore, the objectives to be attained through the optimisation strategy are: minimal power losses operation, minimum UA of the load nodes, load balancing among the HV/MV transformers, and voltage profile regularisation. The application carried out uses an evolutionary algorithm and a particular normalisation technique for the multiple objectives formulation. In the considered automated network, the remote control of capacitor banks and tie‐switches is possible and their layout is the optimisation variable. After a brief description of the optimal reconfiguration and compensation problem for automated distribution networks, the most recent papers on the topic are reported and commented. Then the problem formulation and the solution algorithm are described in detail. Finally, the test results on a large MV distribution network are reported and discussed.
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Hongyi Mao, Yeming Gong and Ryad Titah
The system of information technology (IT)-oriented resources and processes that organizations need to develop to achieve operational agility remains unclear. The study research…
Abstract
Purpose
The system of information technology (IT)-oriented resources and processes that organizations need to develop to achieve operational agility remains unclear. The study research seeks to extend existing competency literature by incorporating the unique contextual nuances of the relationship between IT capabilities and operational agility.
Design/methodology/approach
Using a multi-method approach, this paper presents a theoretical framework of IT-enabled operations strategy that conceptualizes the role of IT capability in leveraging resources and processes for operational agility. Drawing on operations and information systems research, the authors advance that IT enables operational agility through two dimensions. From the perspective of a resource-based operations strategy, the authors explore the role of IT in resource-leveraging activities by investigating the nonlinear relationship between IT infrastructure and IT reconfiguration. From the perspective of a process-oriented operations strategy, the authors explore the role of IT in process-enhancing activities by investigating the nonlinear relationship between IT coordination and IT integration.
Findings
The study results, based on a sample of 113 organizations in Europe, Asia and North America, show that the interaction between IT infrastructure and IT reconfiguration positively influences operational agility, hence showing complementarity between the two constructs, while the interaction between IT coordination and IT integration negatively affects operational agility, hence indicating substitutability between the two constructs. A series of 62 interviews and a case study of Carrefour were further conducted to validate the field survey's results and to provide a finer grained explanation of the research model and quantitative findings.
Originality/value
The study findings offer an alternative explanation of the inconsistent relationship between IT capability and operational agility.
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Anna Tanskanen, Tommi Raussi, Jarmo Partanen and Juha Lohjala
The purpose of this paper is to examine the key outage‐cost‐influencing applications (fault location and network restoration, fault reporting, field crew management, and…
Abstract
Purpose
The purpose of this paper is to examine the key outage‐cost‐influencing applications (fault location and network restoration, fault reporting, field crew management, and reconfiguration) of the distribution management system (DMS) and analyzes the benefits provided by them. The objective of the study is an evaluation of their influence on outage costs deriving from the adoption of automatic equipment in managing distribution systems.
Design/methodology/approach
Cost and benefit calculations in this paper are made for a typical North European rural medium‐voltage network. The benefits are calculated in terms of outage costs for each of the above‐presented applications and compared with the investment cost, including the annual cost of maintenance, of the DMS. The empirical results and validation of the theoretical calculations are performed by an electric utility, where the DMS benefit evaluation is taking place.
Findings
By capitalizing the applications of the DMS, it is possible to acquire considerable benefits in outage costs. It is shown that the greatest cost‐based benefits are obtained from the fault location and field crew management applications. The case study further shows that the DMS can reduce the operation costs of utilities.
Research limitations/implications
The calculations are based on network expert assumptions about System Average Interruption Duration (SAIDI), carried out for a specific overhead‐line network operating in a specific European rural medium‐voltage environment. Sharing of utilities' de facto SAIDI results as a basis for calculations would decrease the need for subjective expert assumptions in the future analyses.
Practical implications
Application of the proposed framework for decision making and lessons learned can support electric utilities when planning for unbundling and strategic target‐setting in the unbundled business model.
Originality/value
There are few reports available on similar actual DMS‐application‐based cost benefits due to the nature of private utility information that is preferably not disclosed.
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Manikandan Subramaniyan, Sasitharan Subramaniyan, Moorthy Veeraswamy and Viswanatha Rao Jawalkar
This paper aims to address not only technical and economic challenges in electrical distribution system but also environmental impact and the depletion of conventional energy…
Abstract
Purpose
This paper aims to address not only technical and economic challenges in electrical distribution system but also environmental impact and the depletion of conventional energy resources due to rapidly growing economic development, results rising energy consumption.
Design/methodology/approach
Generally, the network reconfiguration (NR) problem is designed for minimizing power loss. Particularly, it is devised for maximizing power loss reduction by simultaneous NR and distributed generation (DG) placement. A loss sensitivity factor procedure is incorporated in the problem formulation that has identified sensitivity nodes for DG optimally. An adaptive weighted improved discrete particle swarm optimization (AWIDPSO) is proposed for ascertaining a feasible solution.
Findings
In AWIDPSO, the adaptively varying inertia weight increases the possible solution in the global search space and it has obtained the optimum solution within lesser iteration. Moreover, it has provided a solution for integrating more amount of DG optimally in the existing distribution network (DN).
Practical implications
The AWIDPSO seems to be a promising optimization tool for optimal DG placement in the existing DN, DG placement after NR and simultaneous NR and DG sizing and placement. Thus, a strategic balance is derived among economic development, energy consumption, environmental impact and depletion of conventional energy resources.
Originality/value
In this study, a standard 33-bus distribution system has been analyzed for optimal NR in the presence of DG using the developed framework. The power loss in the DN has reduced considerably by indulging a new and innovative approaches and technologies.
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