• Title/Summary/Keyword: Energy Service System

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A Point-based Resource Distribution Scheme and Its Characteristics for Mobile P2P Streaming Service (모바일 P2P 스트리밍 서비스를 위한 포인트 기반 자원 배분 기법과 그 특성)

  • Kim, Yangjung;Chong, Ilyoung;Han, Chimoon
    • Journal of the Institute of Electronics and Information Engineers
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    • v.50 no.6
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    • pp.33-42
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    • 2013
  • In the early stage of P2P, the technology was limited to narrow usage of file sharing, but currently, P2P technology has become essential to maximize the efficiency between associated technologies without additional deployment of high costly infrastructure and also the burden of the server. Especially, P2P media streaming service is a highly attractive service to mobile users. which requires a higher quality in the mobile environment in accordance with the development of technology of wired network as well as better mobile terminals. However, P2P technology should consider the trade-off between 'peer selfishness' and QoE for providing fairness. The P2P system also try to maximize the resource utilization through an incentive mechanism for service differentiation and encourage peers to contribute continuously for improving the overall system performance. In this paper, we propose an point-based incentive mechanism based on peer's contribution level and energy availability for service differentiation. We also introduce that the proposed mechanism efficiently enhances the system performance as the peer with incentive using contribution and energy obtains more effective resource distribution.

DC Microgrid Operational Method for Enhanced Service Reliability Using DC Bus Signaling

  • Hwang, Pyeong-Ik;Jang, Gilsoo;Pyo, Gi-Chan;Han, Byung-Moon;Moon, Seung-Il;Ahn, Seon-Ju
    • Journal of Electrical Engineering and Technology
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    • v.10 no.2
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    • pp.452-464
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    • 2015
  • This paper proposes a DC microgrid operational strategy and control method for improved service reliability. The objective is to supply power to as many non-critical loads as possible, while providing an uninterrupted power supply to critical loads. The DC bus signaling method, in which DC voltage is an information carrier, is employed to implement the operational strategy in a decentralized manner. During grid-connected operation, a grid-tied converter balances the power of the microgrid by controlling the DC voltage. All loads are connected to the microgrid, and operate normally. During islanded operation, distributed generators (DGs), a backup generator, or an energy storage system balances the power. However, some non-critical loads may be disconnected from the microgrid to ensure the uninterrupted power supply to critical loads. For enhanced service reliability, disconnected loads can be automatically reconnected if certain conditions are satisfied. Control rules are proposed for all devices, and detailed microgrid operational modes and transition conditions are then discussed. Additionally, methods to determine control parameter settings are proposed. PSCAD/EMTDC simulation results demonstrate the performance and effectiveness of the proposed operational strategy and control method.

Home Energy Management System for Interconnecting and Sensing of Electric Appliances

  • Cho, Wei-Ting;Lai, Chin-Feng;Huang, Yueh-Min;Lee, Wei-Tsong;Huang, Sing-Wei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.5 no.7
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    • pp.1274-1292
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    • 2011
  • Due to the variety of household electric devices and different power consumption habits of consumers at present, general home energy management (HEM) systems suffer from the lack of dynamic identification of various household appliances and a unidirectional information display. This study presented a set of intelligent interconnection network systems for electric appliances, which can measure the power consumption of household appliances through a current sensing device based on OSGi platform. The system establishes the characteristics and categories of related electric appliances, and searches the corresponding cluster data and eliminates noise for recognition functionality and error detection mechanism of electric appliances by applying the clustering algorithm. The system also integrates household appliance control network services so as to control them according to users' power consumption plans or through mobile devices, thus realizing a bidirectional monitoring service. When the system detects an abnormal operating state, it can automatically shut off electric appliances to avoid accidents. In practical tests, the system reached a recognition rate of 95%, and could successfully control general household appliances through the ZigBee network.

Determining the Reference Voltage of 345 kV Transmission System Considering Economic Dispatch of Reactive Power (무효전력 경제급전을 고려한 345㎸ 송전계통의 기준 전압 설정 방법)

  • Hwang, In-Kyu;Jin, Young-Gyu;Yoon, Yong-Tae;Choo, Jin-Boo
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.67 no.5
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    • pp.611-616
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    • 2018
  • In the cost based pool market in Korea, there is no compensation of reactive power because the fuel cost for reactive power is relatively low compared to that of active power. However, the change of energy paradigm in the future, such as widespread integration of distributed renewable energy source, will prevent the system operator from mandating the reactive power supply without any compensation. Thus, in this study, we propose the reference voltage of the 345 kV transmission system that minimizes the reactive power supply. This is closely related to the economic dispatch of reactive power aiming at minimizing the compensation cost for the reactive power service. In order to verify the effectiveness of the proposed reference voltage, the simulations are performed using the IEEE 14 bus system and the KEPCO real networks. The simulation results show that a voltage lower than the current reference value is recommended to reduce the reactive power supply and also suggest that the current voltage specification for the 345 kV system needs to be reviewed.

An Analysis of the Prediction Accuracy of HVAC Fan Energy Consumption According to Artificial Neural Network Variables (인공신경망 변수에 따른 HVAC 에너지 소비량 예측 정확도 평가 - 송풍기를 중심으로-)

  • Kim, Jee-Heon;Seong, Nam-Chul;Choi, Won-Chang;Choi, Ki-Bong
    • Journal of the Architectural Institute of Korea Structure & Construction
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    • v.34 no.11
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    • pp.73-79
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    • 2018
  • In this study, for the prediction of energy consumption in the ventilator, one of the components of the air conditioning system, the predicted results were analyzed and accurate by the change in the number of neurons and inputs. The input variables of the prediction model for the energy volume of the fan were the supply air flow rate, the exhaust air flow rate, and the output value was the energy consumption of the fan. A predictive model has been developed to study with the Levenbarg-Marquardt algorithm through 8760 sets of one-minute resolution. Comparison of actual energy use and forecast results showed a margin of error of less than 1% in all cases and utilization time of less than 3% with very high predictability. MBE was distributed with a learning period of 1.7% to 2.95% and a service period of 2.26% to 4.48% respectively, and the distribution rate of ${\pm}10%$ indicated by ASHRAE Guidelines 14 was high.8.

Review of Simultaneous Wireless Information and Power Transfer in Wireless Sensor Networks

  • Asiedu, Derek Kwaku Pobi;Shin, Suho;Koumadi, Koudjo M.;Lee, Kyoung-Jae
    • Journal of information and communication convergence engineering
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    • v.17 no.2
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    • pp.105-116
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    • 2019
  • Recently, there has been an increase in research on wireless sensor networks (WSNs) because they are easy to deploy in applications such as internet-of-things (IoT) and body area networks. However, WSNs have constraints in terms of power, quality-of-service (QoS), computation, and others. To overcome the power constraint issues, wireless energy harvesting has been introduced into WSNs, the application of which has been the focus of many studies. Additionally, to improve system performance in terms of achievable rate, cooperative networks are also being explored in WSNs. We present a review on current research in the area of energy harvesting in WSNs, specifically on the application of simultaneous wireless information and power transfer (SWIPT) in a cooperative sensor network. In addition, we discuss possible future extensions of SWIPT and cooperative networks in WSNs.

Energy-efficient Power Allocation based on worst-case performance optimization under channel uncertainties

  • Song, Xin;Dong, Li;Huang, Xue;Qin, Lei;Han, Xiuwei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.11
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    • pp.4595-4610
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    • 2020
  • In the practical communication environment, the accurate channel state information (CSI) is difficult to obtain, which will cause the mismatch of resource and degrade the system performance. In this paper, to account for the channel uncertainties, a robust power allocation scheme for a downlink Non-orthogonal multiple access (NOMA) heterogeneous network (HetNet) is designed to maximize energy efficiency (EE), which can ensure the quality of service (QoS) of users. We conduct the robust optimization model based on worse-case method, in which the channel gains belong to certain ellipsoid sets. To solve the non-convex non-liner optimization, we transform the optimization problem via Dinkelbach method and sequential convex programming, and the power allocation of small cell users (SCUs) is achieved by Lagrange dual approach. Finally, we analysis the convergence performance of proposed scheme. The simulation results demonstrate that the proposed algorithm can improve total EE of SCUs, and has a fast convergence performance.

Outage Rate Calculating Method of Energy Storage System for the Application on Power System Operation (전력계통 운영적용을 위한 전기저장장치 고장률 산정방안)

  • Song, Seung-Heon;Choi, Woo-Yeong;Kook, Kyung-Soo
    • Journal of IKEEE
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    • v.23 no.1
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    • pp.188-192
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    • 2019
  • As the contribution of the Energy Storage System (ESS) on the power system operations has increased, it is required to secure the reliability on the capacity of ESS and this needs to consider the outage rate in calculating the available capacity of ESS. However, the existing method of calculating the outage rate does not consider the configuration of ESS and this does not accurately calculate the available capacity of ESS. For this, this paper analyzes the structural characteristics of ESS in Korean power system and proposes a method to calculate the outage rate of ESS. Through the study cases adopting the Korea Electric Power Corporation (KEPCO) ESS for providing the frequency response service, the effectiveness of the proposed method verified.

The Optimal Operation of Distributed Generation Possessed by Community Energy System Considering Low-Carbon Paradigm (저탄소 패러다임에 따른 구역전기사업자의 분산전원 최적 운영에 관한 연구)

  • Kim, Sung-Yul;Shim, Hun;Bae, In-Su;Kim, Jin-O
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.8
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    • pp.1504-1511
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    • 2009
  • By development of renewable energies and high-efficient facilities and deregulated electricity market, the operation cost of distributed generation(DG) becomes more competitive. The amount of distributed resource is considerably increasing in the distribution network consequently. Also, international environmental regulations of the leaking carbon become effective to keep pace with the global efforts for low-carbon paradigm. It contributes to spread out the business of DG. Therefore, the operator of DG is able to supply electric power to customers who are connected directly to DG as well as loads that are connected to entire network. In this situation, community energy system(CES) having DGs is recently a new participant in the energy market. DG's purchase price from the market is different from the DG's sales price to the market due to the transmission service charges and etc. Therefore, CES who owns DGs has to control the produced electric power per hourly period in order to maximize the profit. If there is no regulation for carbon emission(CE), the generators which get higher production than generation cost will hold a prominent position in a competitive price. However, considering the international environment regulation, CE newly will be an important element to decide the marginal cost of generators as well as the classified fuel unit cost and unit's efficiency. This paper will introduce the optimal operation of CES's DG connected to the distribution network considering CE. The purpose of optimization is to maximize the profit of CES and Particle Swarm Optimization (PSO) will be used to solve this problem. The optimal operation of DG represented in this paper is to be resource to CES and system operator for determining the decision making criteria.

ESCO Special - 에너지, 저장해 사용하고 팔자! 일석이조 ESS (Energy Storage system)

  • 에너지절약전문기업협회
    • The Magazine for Energy Service Companies
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    • s.84
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    • pp.8-11
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    • 2013
  • 지난 5월 28일 국무회의에서 박근혜 대통령은 "과학기술을 통한 에너지 효율성을 제고하거나 낭비를 막는 방법도 있고 스마트 그리드 같은 IT기술을 이용해서 실시간으로 자신이 얼마를 소모하는지 알려줌으로써 스스로 아껴 쓸 수 있는 방법이 있는데, 그런 방안도 적극 연구해 달라"고 당부했다. 실제로 우리 산업은 현재 ICT기술과 전력시장을 창조적으로 융합하여 새로운 시장을 형성하고, 이를 통해 신(新)성장동력, 신(新)서비스업을 육성해야 하는 시점에 직면해 있다. 전력공급에 소요되는 사회적 비용이 급증하여 빠른 속도로 증가하는 수요를 충족시키는데 많은 어려움이 있는 것도 사실이다. 늘어나는 수요에 따라 공급을 확대하는 공급중심 정책에서 합리적으로 수요를 줄인 후 공급을 확대하는 수요관리 중심의 정책으로 전환이 필요한 때이다. * 연평균 전력소비증가율('00~'10년, %) : 한국 5.3('10년 10.1), 일본 0.2, 미국 0.7, OECD 평균 1.0 최근 다각도로 전력 사용을 줄이기 위한 이벤트가 실시되고 있는데 실내온도 제한 등 일시적 절약에서 벗어나, 세계적 수준의 우리 ICT기술을 활용하여 근본적이고 시스템적인 수요관리 추진이 필요하다. 한편 전력수급 위기를 새로운 시장창출의 기회로 만드는 발상의 전환을 통해 창조경제시대의 신성장동력과 일자리를 창출하게 되는 기회가 될 수 있다. 이는 전통적인 에너지산업에 2차전지산업, 소프트웨어 산업을 융합하여 ESS, EMS, LED 등 ICT기반 에너지 신산업 시장 진출을 의미한다. 이번호에서는 ESS(Energy Storage System)라고 불리는 에너지저장장치에 대해 살펴보고자 한다.

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