GA-based multi-objective optimization for distributed generations planning with DLMs in distribution power systems
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In this article, the impact assessment of optimally placed different types of DGs (such as T 1, T 2, T 3 and T 4 ) with DLMs by employing genetic algorithm (GA) in the distribution power systems (DPSs) form total minimum real power loss of the system viewpoint.About:
This article is published in Journal of Electrical Systems and Information Technology.The article was published on 2017-05-01 and is currently open access. It has received 16 citations till now. The article focuses on the topics: Electric power system & AC power.read more
Citations
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A review of optimization approaches for hybrid distributed energy generation systems: Off-grid and grid-connected systems
Ssennoga Twaha,Makbul A.M. Ramli +1 more
TL;DR: A review on the optimization approaches for hybrid DEG systems, considering both stand-alone and grid-connected systems, shows that AI techniques are still dominating the techniques used for optimization of DEg systems, with particle swarm optimization (PSO) recognized as the most used AI method.
Journal ArticleDOI
Solar photovoltaic energy optimization methods, challenges and issues: A comprehensive review
Omar A. Al-Shahri,Firas Basim Ismail,Mahammad A. Hannan,M. S. Hossain Lipu,Ali Q. Al-Shetwi,Rawshan Ara Begum,Nizar F.O. Al-Muhsen,Ebrahim Soujeri +7 more
TL;DR: It can be concluded that the main objectives of optimizations methods are to reduce minimize investment, operation and maintenance costs and emissions to enhance the system reliability.
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Review of fuel cells to grid interface: Configurations, technical challenges and trends
Mustafa Inci,Omer Turksoy +1 more
TL;DR: A comprehensive review of grid-connected fuel cell systems is presented to provide an extensive aspect on the status of fuel cell technologies to the researchers and scientists dealing with the grid connection.
Journal ArticleDOI
Optimal allocation of distributed generation and electric vehicle charging stations based on intelligent algorithm and bi‐level programming
Journal ArticleDOI
Distributed generation deployment: State-of-the-art of distribution system planning in sustainable era
TL;DR: In this paper, the authors present a state-of-the-art of DG deployment techniques and their influence on the ongoing research efforts in this field and relieve the imminent researchers from the difficulties of availing appropriate guidance.
References
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Journal ArticleDOI
Distributed generation : a definition
TL;DR: In this article, the relevant issues and aims at providing a general definition for distributed power generation in competitive electricity markets are discussed, which can be defined as electric power generation within distribution networks or on the customer side of the network.
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Distributed generation: definition, benefits and issues
TL;DR: In this paper, the authors start from the observation that there is a renewed interest in small-scale electricity generation and then move on with a discussion of the major benefits and issues of Small-Scale Electricity Generation.
Journal ArticleDOI
A multiobjective evolutionary algorithm for the sizing and siting of distributed generation
TL;DR: In this article, a multiobjective formulation for the siting and sizing of DG resources into existing distribution networks is proposed, which permits the planner to decide the best compromise between cost of network upgrading, cost of power losses, and cost of energy not supplied.
Journal Article
Load representation for dynamic performance analysis
W. W. Price,Hsiao-Dong Chiang,H. K. Clark,C. Concordia,D. C. Lee,J. C. Hsu,S. Ihara,C. A. King,C. J. Lin,Y. Mansour,K. Srinivasan,C.W. Taylor,E. Vaahedi +12 more
TL;DR: In this paper, the authors summarized the state of the art of representation of power system loads for dynamic performance analysis purposes, including definition of terminology, discussion of the importance of load modeling, important considerations for different types of loads and different kinds of analyses Typical load model data and methods for acquiring data are reviewed.
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An approach to quantify the technical benefits of distributed generation
P. Chiradeja,R. Ramakumar +1 more
TL;DR: In this paper, the authors proposed a general approach and a set of indices to assess some of the technical benefits in a quantitative manner, including voltage profile improvement, line loss reduction, environmental impact reduction, and DG benefit index.