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Qinsheng Yun, Xiangjun Wang, Shenghan Wang, Wei Zhuang and Wanlu Zhu
This paper investigates the small-signal stability of a DC shipboard power system (SPS) with the integration of a supercapacitor. As an efficient energy storage solution, supercapacitors can not only provide rapid energy response to sudden power demand s...
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Daniela Patricia Bohórquez-Álvarez, Karen Dayanna Niño-Perdomo and Oscar Danilo Montoya
This paper addresses the problem concerning the efficient minimization of power losses in asymmetric distribution grids from the perspective of convex optimization. This research?s main objective is to propose an approximation optimization model to reduc...
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Mohamed Abbas, Mohammed A. Alshehri and Abdulwasa Bakr Barnawi
Active power losses have the potential to affect the distribution of power flows along transmission lines as well as the mix of energy used throughout power networks. Grey wolf optimization algorithms (GWOs) are used in electrical power systems to reduce...
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Tiago E. C. de Oliveira, Pedro M. S. Carvalho, Paulo F. Ribeiro and Benedito D. Bonatto
This paper introduces a brief analysis on hosting capacity and related concepts as applied to distribution network systems. Furthermore, it addresses the applicability of hosting capacity study methodologies to harmonic voltage distortion caused by photo...
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Khaled Shuaib, Liren Zhang, Ahmed Gaouda and Mohammed Abdel-Hafez
Plug-in Electric Vehicles (PEVs) are envisioned to be more popular during the next decade as part of Smart Grid implementations. Charging multiple PEVs at the same time within a power distribution area constitutes a major challenge for energy service pro...
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Ye Sun, Qing Chen, Dan Xie, Ning Shao, Wei Ding and Yuzhan Dong
This paper puts forward a fault location method combining the improved matrix algorithm and the genetic tabu algorithm based on multi-source information in view of the limitation of existing fault location methods in active distribution networks, such as...
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A. M. Sakura R. H. Attanayake and R. M. Chandima Ratnayake
Digitalization of the failure-probability modeling of crucial components in power-distribution systems is important for improving risk and reliability analysis for system-maintenance and asset-management practices. This paper aims to implement a Python p...
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Piyapath Siratarnsophon, Vinicius C. Cunha, Nicholas G. Barry and Surya Santoso
The capability of routing power from one phase to another, interphase power flow (IPPF) control, has the potential to improve power systems efficiency, stability, and operation. To date, existing works on IPPF control focus on unbalanced compensation usi...
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Samuel Yankson and Mahdi Ghamkhari
The automatic generation control mechanism in power generators comes into operation whenever an over-supply or under-supply of energy occurs in the power grid. It has been shown that the automatic generation control mechanism is highly vulnerable to load...
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Ryuto Shigenobu, Mitsunaga Kinjo, Paras Mandal, Abdul Motin Howlader and Tomonobu Senjyu
In order to solve urgent energy and environmental problems, it is essential to carry out high installation of distributed generation using renewable energy sources (RESs) and environmentally-friendly storage technologies. However, a high penetration of R...
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Miguel Hernandez, Gustavo Ramos, Harsha V. Padullaparti and Surya Santoso
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Stephen Whaite, Brandon Grainger and Alexis Kwasinski
This review paper discusses power quality considerations for direct current (DC) electric power distribution systems, particularly DC microgrids. First, four selected sample DC architectures are discussed to provide motivation for the consideration of po...
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Róbert ?tefko, Zsolt Conka and Michal Kolcun
To reduce emissions worldwide, decarbonization has also affected for power engineering and its conventional methods of power generation, distribution, and transmission. This fact affects not only the production of power and supply itself, but also other ...
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Ilja Rausch, Yara Khaluf and Pieter Simoens
In many complex systems observed in nature, properties such as scalability, adaptivity, or rapid information exchange are often accompanied by the presence of features that are scale-free, i.e., that have no characteristic scale. Following this observati...
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Nicolas Santamaria-Henao, Oscar Danilo Montoya and César Leonardo Trujillo-Rodríguez
The problem regarding the optimal placement and sizing of different FACTS (flexible alternating current transmission systems) in electrical distribution networks is addressed in this research by applying a master?slave optimization approach. The FACTS an...
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Jorge Enrique Carrión González
Pág. 9 a la 17
La dependencia cada vez mayor del consumo de energía eléctrica para las diferentes actividades humanas, ha traído como consecuencia que los usuarios exijan mayor calidad del servicio, por tal motivo las empresassuministradoras en todo el mundo buscan mej...
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Ismail Alperen Özlü, Olzhas Baimakhanov, Almaz Saukhimov and Oguzhan Ceylan
This paper proposes a toolbox for simulating the effective integration of renewable energy sources into distribution systems. The toolbox uses four heuristic methods: the particle swarm optimization (PSO) method, and three recently developed methods, nam...
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Laura Patricia García-Pineda and Oscar Danilo Montoya
This research deals with the problem regarding the optimal siting and sizing of distribution static compensators (D-STATCOMs) via the application of a master?slave optimization technique. The master stage determines the nodes where the D-STATCOMs must be...
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Khoa Dang Nguyen, Pham Duc Dai, Dong Quoc Vu, Bui Manh Cuong, Vu Phi Tuyen and Pu Li
Pressure reducing valves (PRVs) are commonly used for pressure control in water distribution systems (WDSs) by means of dissipating the pressure excess. The use of pumps as turbines (PATs) is an alternative and more favorable system since they not only c...
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Keda Pan, Changhong Xie, Chun Sing Lai, Dongxiao Wang and Loi Lei Lai
Considering that most of the photovoltaic (PV) data are behind-the-meter (BTM), there is a great challenge to implement effective demand response projects and make a precise customer baseline (CBL) prediction. To solve the problem, this paper proposes a ...
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