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      KCI등재 SCIE SCOPUS

      RPSMDSM: Residential Power Scheduling and Modelling for Demand Side Management = RPSMDSM: Residential Power Scheduling and Modelling for Demand Side Management

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      https://www.riss.kr/link?id=A106964829

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      다국어 초록 (Multilingual Abstract)

      In third world countries like Pakistan, the production of electricity has been quickly reduced in past years due to rely on the fossil fuel. According to a survey conducted in 2017, the overall electrical energy capacity was 22,797MW, since the electr...

      In third world countries like Pakistan, the production of electricity has been quickly reduced in past years due to rely on the fossil fuel. According to a survey conducted in 2017, the overall electrical energy capacity was 22,797MW, since the electrical grids have gone too old, therefore the efficiency of grids, goes down to nearly 17000MW. Significant addition of fossil fuel, hydro and nuclear is 64.2%, 29% and 5.8% respectively in the total electricity production in Pakistan. In 2018, the demand crossed 20,223MW, compared to peak generation of 15,400 to 15,700MW as by the Ministry of Water and Power. Country faces a deficit of almost 4000MW to 5000MW for the duration of 2019 hot summer term. Focus on one aspect considering Demand Side Management (DSM) cannot oversea the reduction of gap between power demand and customer supply, which eventually leads to the issue of load shedding. Hence, a scheduling scheme is proposed in this paper called RPSMDSM that is based on selection of those appliances that need to be only Turned-On, on priority during peak hours consuming minimum energy. The Home Energy Management (HEM) system is integrated between consumer and utility and bidirectional flow is presented in the scheme. During peak hours of electricity, the RPSMDSM is capable to persuade less power consumption and accomplish productivity in load management. Simulations show that RPSMDSM scheme helps in scheduling the electricity loads from peak price to off-peak price hours. As a result, minimization in electricity cost as well as (Peak-to-Average Ratio) PAR are accomplished with sensible waiting time.

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      참고문헌 (Reference)

      1 Fang, Xi, "Smart grid—The new and improved power grid : A survey" 14 (14): 944-980, 2011

      2 Wu, Felix F., "Smart grids with intelligent periphery : An architecture for the energy internet" 1 (1): 436-446, 2015

      3 Touzene, Abderezak, "Smart grid resources optimisation using service oriented middleware" 59 (59): 53-63, 2019

      4 Ullah, M. N., "Residential energy consumption controlling techniques to enable autonomous demand side management in future smart grid communications" IEEE 545-550, 2013

      5 Roh, Hee-Tae, "Residential demand response scheduling with multiclass appliances in the smart grid" 7 (7): 94-104, 2015

      6 Abdeshahian, Peyman, "Potential of biogas production from farm animal waste in Malaysia" 60 : 714-723, 2016

      7 Liu, Yi, "Peak-to-average ratio constrained demand-side management with consumer's preference in residential smart grid" 8 (8): 1084-1097, 2014

      8 Mahmood, Danish, "Orchestrating an effective formulation to investigate the impact of EMSs(energy management systems)for residential units prior to installation" 10 (10): 335-, 2017

      9 A. Ghasempour, "Optimized scalable decentralized hybrid advanced metering infrastructure for smart" 223-228, 2015

      10 Longe, Omowunmi Mary, "Mitigating Household Energy Poverty through Energy Expenditure Affordability Algorithm in a Smart Grid" 11 (11): 947-, 2018

      1 Fang, Xi, "Smart grid—The new and improved power grid : A survey" 14 (14): 944-980, 2011

      2 Wu, Felix F., "Smart grids with intelligent periphery : An architecture for the energy internet" 1 (1): 436-446, 2015

      3 Touzene, Abderezak, "Smart grid resources optimisation using service oriented middleware" 59 (59): 53-63, 2019

      4 Ullah, M. N., "Residential energy consumption controlling techniques to enable autonomous demand side management in future smart grid communications" IEEE 545-550, 2013

      5 Roh, Hee-Tae, "Residential demand response scheduling with multiclass appliances in the smart grid" 7 (7): 94-104, 2015

      6 Abdeshahian, Peyman, "Potential of biogas production from farm animal waste in Malaysia" 60 : 714-723, 2016

      7 Liu, Yi, "Peak-to-average ratio constrained demand-side management with consumer's preference in residential smart grid" 8 (8): 1084-1097, 2014

      8 Mahmood, Danish, "Orchestrating an effective formulation to investigate the impact of EMSs(energy management systems)for residential units prior to installation" 10 (10): 335-, 2017

      9 A. Ghasempour, "Optimized scalable decentralized hybrid advanced metering infrastructure for smart" 223-228, 2015

      10 Longe, Omowunmi Mary, "Mitigating Household Energy Poverty through Energy Expenditure Affordability Algorithm in a Smart Grid" 11 (11): 947-, 2018

      11 Samadi, Pedram, "Load scheduling and power trading in systems with high penetration of renewable energy resources" 7 (7): 1802-1812, 2015

      12 A. Ghasempour, "Internet of Things in Smart Grid : Architecture, Applications, Services, Key Technologies, and Challenges" 4 (4): 1-12, 2019

      13 Rasheed, Muhammad Babar, "Energy optimization in smart homes using customer preference and dynamic pricing" 9 (9): 593-, 2016

      14 Said, Gul Nabi, "Electrical energy regulation and load management for addressing power crisis in Pakistan" 19 : 20-, 2016

      15 Wijaya, Tri Kurniawan, "Effective consumption scheduling for demand-side management in the smart grid using non-uniform participation rate" IEEE 1-8, 2013

      16 Pehnt, Martin, "Dynamic life cycle assessment(LCA)of renewable energy technologies" 31 (31): 55-71, 2006

      17 Nguyen, Hung Khanh, "Demand side management to reduce peak-to-average ratio using game theory in smart grid" 91-96, 2012

      18 Gaur, Gaurav, "Demand side management in a smart grid environment" IEEE 227-231, 2017

      19 Shaaban, M. F., "Day-ahead Optimal Scheduling for Demand Side Management in Smart Grids" 124-129, 2016

      20 Longe, O. M., "Consumer preference electricity usage plan for demand side management in the smart grid" 108 (108): 174-183, 2017

      21 Naqi Shah, Sadia, "Analyse Risk-Return Paradox: Evidence from Electricity Sector of Pakistan" 117-138, 2016

      22 Hussain, Hafiz Majid, "An Efficient Demand Side Management System with a New Optimized Home Energy Management Controller in Smart Grid" 11 (11): 190-, 2018

      23 김승욱, "An Adaptive Smart Grid Management Scheme Based on the Coopetition Game Model" 한국전자통신연구원 36 (36): 80-88, 2014

      24 Samadi, Pedram, "Advanced demand side management for the future smart grid using mechanism design" 3 (3): 1170-1180, 2012

      25 Mahmood, Anzar, "A new scheme for demand side management in future smart grid networks" 32 : 477-484, 2014

      26 Zahoor, Saman, "A cloud-fog-based smart grid model for efficient resource utilization" IEEE 1154-1160, 2018

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      학술지등록 한글명 : KSII Transactions on Internet and Information Systems
      외국어명 : KSII Transactions on Internet and Information Systems
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2013-10-01 평가 등재학술지 선정 (기타) KCI등재
      2011-01-01 평가 등재후보학술지 유지 (기타) KCI등재후보
      2009-01-01 평가 SCOPUS 등재 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.45 0.21 0.37
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.32 0.29 0.244 0.03
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