• Title/Summary/Keyword: Energy Balancing

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A Study on the Reduction of Current Unbalancing of Two-phase Interleaved Buck Converter using Variable Inductor (가변 인덕터를 적용한 2상 인터리브드 벅 컨버터의 전류 불평형 저감에 관한 연구)

  • Lim, Jaeseong;Cha, Honnyong
    • The Transactions of the Korean Institute of Power Electronics
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    • v.27 no.5
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    • pp.417-424
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    • 2022
  • This study proposes a current-balancing technique for an interleaved buck converter using a variable inductor and a snubber capacitor. The proposed scheme balances the inductor current by using the variable inductor and enables zero voltage switching under all load ranges. With the variable inductor, the ripple of inductor current changes according to load variation. In addition, a 1.6 kW prototype is built to verify the validity of the proposed scheme, and the experimental results are successfully obtained.

Modification of Balancing Piston for Trimming of Impeller Diameter for Maintaining Axial-Thrust Balance in Low-Specific-Speed Multistage Centrifugal Pumps (저비속도 원심 회전차 외경가공에 따른 축추력 불균형을 감쇄시키기 위한 평형 피스톤 수정방안에 관한 고찰)

  • Yoo, Il-Su;Park, Moo-Ryong;Yoon, Eui-Soo
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.35 no.9
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    • pp.875-882
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    • 2011
  • In the present study, the imbalance in the axial-thrust and variation in the volumetric efficiency that occurred during the trimming of impeller diameter were investigated. The present study was focused on low-specific-speed multistage centrifugal pumps with a balancing piston as the balancing mechanism. The effects of impeller trimming on the axial-thrust balance in multistage pumps with horizontal and vertical axes were compared. The results showed that impeller trimming resulted in an additional axial-thrust acting in direction of pump inlet. The axial-thrust imbalance due to impeller trimming was more severe in the vertical-axis pumps than in the horizontal-axis pumps. The rate of increase in the diameter of the balancing piston, which was proportional to the rate of impeller trimming, was evaluated to maintain the axial-thrust balance. Furthermore, a simultaneous increase in the piston length and piston diameter was more effective for reducing the axial-thrust imbalance along with the volumetric efficiency drop.

Neighbor Node Discovery and Load Balancing Schemes for Energy-Efficient Clustering in Wireless Sensor Networks (주변 노드 발견을 통한 무선 센서 네트워크에서의 에너지 효율적인 클러스터링 및 전력 균형 분산 기법)

  • Choi, Ji-Young;Kang, Chung-Gu
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.11A
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    • pp.1147-1158
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    • 2006
  • Clustering algorithm is an essential element to implement a hierarchical routing protocol, especially for a large-scale wireless sensor network. In this paper, we propose a new type of energy-efficient clustering algorithm, which maximizes the physical distance between cluster head and gateway by a neighbor node discovery mechanism. Furthermore, a slave/master patching scheme is introduced as a useful means of further improving the energy-efficiency. It has been shown that the number of cluster heads can be reduced by as many as 21% as compared with the existing clustering algorithms.

UAV-MEC Offloading and Migration Decision Algorithm for Load Balancing in Vehicular Edge Computing Network (차량 엣지 컴퓨팅 네트워크에서 로드 밸런싱을 위한 UAV-MEC 오프로딩 및 마이그레이션 결정 알고리즘)

  • A Young, Shin;Yujin, Lim
    • KIPS Transactions on Computer and Communication Systems
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    • v.11 no.12
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    • pp.437-444
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    • 2022
  • Recently, research on mobile edge services has been conducted to handle computationally intensive and latency-sensitive tasks occurring in wireless networks. However, MEC, which is fixed on the ground, cannot flexibly cope with situations where task processing requests increase sharply, such as commuting time. To solve this problem, a technology that provides edge services using UAVs (Unmanned Aerial Vehicles) has emerged. Unlike ground MEC servers, UAVs have limited battery capacity, so it is necessary to optimize energy efficiency through load balancing between UAV MEC servers. Therefore, in this paper, we propose a load balancing technique with consideration of the energy state of UAVs and the mobility of vehicles. The proposed technique is composed of task offloading scheme using genetic algorithm and task migration scheme using Q-learning. To evaluate the performance of the proposed technique, experiments were conducted with varying mobility speed and number of vehicles, and performance was analyzed in terms of load variance, energy consumption, communication overhead, and delay constraint satisfaction rate.

Study on the Pressure Balance of the Hybrid Safety Injection Tank (피동충수용 혼합형 안전주입탱크의 압력평형에 관한 이론적 해석 및 시험적 연구)

  • Ryu, Sung Uk;Ryu, Hyobong;Byun, Sun-Joon;Jeon, Woo-Jin;Park, Hyun-Sik;Lee, Sung-Jae
    • Journal of Energy Engineering
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    • v.25 no.1
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    • pp.185-191
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    • 2016
  • The Hybrid Safety Injection Tank is a passive safety injection system that enables the safety injection water to be injected into the reactor pressure vessel throughout all operating pressures by connecting the top of the SIT and the pressurizer(PZR). In this study, the condition for balancing the pressure between the Hybrid SIT and PZR was derived theoretically. The pressure balancing condition was set at the point where the velocity of the Hybrid SIT coolant injected into the Direct Vessel Injection(DVI) line was at or above zero. If the condition was derived from a pressure network for the Hybrid SIT, pressurizer, and reactor pressure vessel, the pressure difference between the pressurizer and SIT is less than 0.07 MPa.

ESBL: An Energy-Efficient Scheme by Balancing Load in Group Based WSNs

  • Mehmood, Amjad;Nouman, Muhammad;Umar, Muhammad Muneer;Song, Houbing
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.10
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    • pp.4883-4901
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    • 2016
  • Energy efficiency in Wireless Sensor Networks (WSNs) is very appealing research area due to serious constrains on resources like storage, processing, and communication power of the sensor nodes. Due to limited capabilities of sensing nodes, such networks are composed of a large number of nodes. The higher number of nodes increases the overall performance in data collection from environment and transmission of packets among nodes. In such networks the nodes sense data and ultimately forward the information to a Base Station (BS). The main issues in WSNs revolve around energy consumption and delay in relaying of data. A lot of research work has been published in this area of achieving energy efficiency in the network. Various techniques have been proposed to divide such networks; like grid division of network, group based division, clustering, making logical layers of network, variable size clusters or groups and so on. In this paper a new technique of group based WSNs is proposed by using some features from recent published protocols i.e. "Energy-Efficient Multi-level and Distance Aware Clustering (EEMDC)" and "Energy-Efficient Multi-level and Distance Aware Clustering (EEUC)". The proposed work is not only energy-efficient but also minimizes the delay in relaying of data from the sensor nodes to BS. Simulation results show, that it outperforms LEACH protocol by 38%, EEMDC by 10% and EEUC by 13%.

The Threshold Based Cluster Head Replacement Strategy in Sensor Network Environment (센서 네트워크 환경의 임계값 기반 클러스터 헤드 지연 교체 전략)

  • Kook, Joong-Jin;Ahn, Jae-Hoon;Hong, Ji-Man
    • Journal of Internet Computing and Services
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    • v.10 no.3
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    • pp.61-69
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    • 2009
  • Most existing clustering protocols have been aimed to provide balancing the residual energy of each node and maximizing life-time of wireless sensor networks. In this paper, we present the threshold based cluster head replacement strategy for clustering protocols in wireless sensor networks. This protocol minimizes the number of cluster head selection by preventing the cluster head replacement up to the threshold of residual energy. Reducing the amount of head selection and replacement cost, the life-time of the entire networks can be extended compared with the existing clustering protocols. Our simulation results show that our protocol outperformed than LEACH in terms of balancing energy consumption and network life-time.

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A study on the operating method for Photovoltaic system through the SOC measurement of batteies (Battery SOC(State of Charge)측정을 통한 태양광발전 시스템 운영 방안 연구)

  • Song, Jung-Yong;Seo, Yu-Jin;Kwon, Oh-Sang;Jeoung, Kwan-Chul;Huh, Chang-Su
    • Journal of the Korean Solar Energy Society
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    • v.24 no.2
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    • pp.1-7
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    • 2004
  • In this paper, the new improved method for photovoltaic system was studied available for a lighting load by measuring the state of charge of lead-acid batteries. Photovoltaic systems has been evaluated as one of the most new and renewable energy and especially, the Stand-Alone Photovoltaic system has been used to a street light, a road sign light, an air caution light, an emergency call. Many Stand-Alone PV system are installed by a group. Although the pre-installation cost of PV system is high and it has not been operated due to the absence of optimal management standards. In this paper, it is proposed a new operating method by the measurement of lead-acid battery's SOC with a Ah balancing.

Energy-Efficient Cluster Head Selection Method in Wireless Sensor Networks (무선 센서 네트워크에서 에너지 효율적 클러스터 헤드 선정 기법)

  • Nam, Choon-Sung;Jang, Kyung-Soo;Shin, Ho-Jin;Shin, Dong-Ryeol
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.10 no.2
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    • pp.25-30
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    • 2010
  • Wireless sensor networks is composed of many similar sensor nodes with limited resources. They are randomly scattered over a specific area and self-organize the network. For guarantee of network life time, load balancing and scalability in sensor networks, sensor networks needs the clustering algorithm which distribute the networks to a local cluster. In existing clustering algorithms, the cluster head selection method has two problems. One is additional communication cost for finding location and energy of nodes. Another is unequal clustering. To solve them, this paper proposes a novel cluster head selection algorithm revised previous clustering algorithm, LEACH. The simulation results show that the energy compared with the previous clustering method is reduced.

A Study on the Configuration of BOP and Implementation of BMS Function for VRFB (VRFB를 위한 BOP 구성 및 BMS 기능구현에 관한 연구)

  • Choi, Jung-Sik;Oh, Seung-Yeol;Chung, Dong-Hwa;Park, Byung-Chul
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.28 no.12
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    • pp.74-83
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    • 2014
  • This paper proposes a study on the configuration of balancing of plant(BOP) and implementation of battery management system(BMS) functions for vanadium redox flow battery(VRFB) and propose a method consists of sensor and required design specifications BOP system configuration. And it proposes an method of the functions implementation and control algorithm of the BMS for flow battery. Functions of BMS include temperature control, the charge and discharge control, flow control, level control, state of charge(SOC) estimation and a battery protection through the sensor signal of BOP. Functions of BMS is implemented by the sensor signal, so it is recognized as a very important factor measurement accuracy of the data. Therefore, measuring a mechanical signal(flow rate, temperature, level) through the BOP test model, and the measuring an electrical signal(cell voltage, stack voltage and stack current) through the VRFB charge-discharge system and analyzes the precision of data in this paper. Also it shows a good charge-discharge test results by the SOC estimation algorithm of VRFB. Proposed BOP configuration and BMS functions implementation can be used as a reference indicator for VRFB system design.