• 제목/요약/키워드: Energy Demand Management

검색결과 477건 처리시간 0.033초

전력(電力)의 수요측(需要側) 관리방안(管理方案) (Demand Side Management in Power System)

  • 강원구
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1993년도 하계학술대회 논문집 A
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    • pp.45-47
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    • 1993
  • Load Management, is originated from efficiency improvement of energy use, or energy conservaion. Traditionally, electric utilities have constructed new power plants to meet the steadily increasing electricity demand. Power development planning, however, is becoming more difficult in the countries like Korea, Japan, and the United States, and increasing concerns about global environmental problems necessitate changes from existing supply-side options based on fossil-fuel to environmentally agreeable supply strategies. This paper discusses the demand side management strategy with emphasis on the concept, implementation scheme, and current practices employed in utilities.

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Impacts of Demand Response from Different Sectors on Generation System Well Being

  • Hassanzadeh, Muhammad Naseh;Fotuhi-Firuzabad, Mahmud;Safdarian, Amir
    • Journal of Electrical Engineering and Technology
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    • 제12권5호
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    • pp.1719-1728
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    • 2017
  • Recent concerns about environmental conditions have triggered the growing interest in using green energy resources. These sources of energy, however, bring new challenges mainly due to their uncertainty and intermittency. In order to alleviate the concerns on the penetration of intermittent energy resources, this paper investigates impacts of realizing demand-side potentials. Among different demand-side management programs, this paper considers demand response wherein consumers change their consumption pattern in response to changing prices. The research studies demand response potentials from different load sectors on generation system well-being. Consumers' sensitivity to time-varying prices is captured via self and cross elasticity coefficients. In the calculation of well-being indices, sequential Monte Carlo simulation approach is accompanied with fuzzy logic. Finally, IEEE-RTS is used as the test bed to conduct several simulations and the associated results are thoroughly discussed.

A Simple Power Management Scheme with Enhanced Stability for a Solar PV/Wind/Fuel Cell Fed Standalone Hybrid Power Supply using Embedded and Neural Network Controller

  • Thangavel, S.;Saravanan, S.
    • Journal of Electrical Engineering and Technology
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    • 제9권5호
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    • pp.1454-1470
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    • 2014
  • This paper propose a new power conditioner topology with intelligent power management controller that integrates multiple renewable energy sources such as solar energy, wind energy and fuel cell energy with battery backup to make best use of their operating characteristics and obtain better reliability than that could be obtained by single renewable energy based power supply. The proposed embedded controller is programmed for maintaining a constant voltage at PCC, maximum power point tracking for solar PV panel and WTG and power flow control by regulating the reference currents of the controller on instantaneous basis based on the power delivered by the sources and load demand. Instantaneous variation in reference currents of the controller enhances the controller response as it accommodates the effect of continuously varying solar insolation and wind speed in the power management. The power conditioner uses a battery bank with embedded controller based online SOC estimation and battery charging system to suitably sink or source the input power based on the load demand. The simulation results of the proposed power management system for a standalone solar/WTG/fuel cell fed hybrid power supply with real time solar radiation and wind velocity data collected from solar centre, KEC for a sporadically varying load demand is presented in this paper and the results are encouraging in reliability and stability perspective.

에너지효율향상의무화제도의 국내 도입을 위한 기반구축 연구 - 에너지수요관리제도 및 절감률 산정 중심으로 - (A Study on Establishing Infrastructure Plans to Introduce an Energy Efficiency Resource Standards - Based on the Energy Demand Side Management and Energy Efficiency Potential -)

  • 홍성준;최봉하;이덕기;박수억;원종률
    • 한국수소및신에너지학회논문집
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    • 제21권3호
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    • pp.241-247
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    • 2010
  • An Energy Efficiency Resource Standards (EERS) is a simple, market-based mechanism to encourage more efficient generation, transmission, and use of electricity, natural gas and heat. An EERS consists of electric, gas and/or heating energy savings targets for utilities, often with flexibility to achieve the target through a market-based trading system. In this paper, we make persons acquainted with EERS programs of foreign countries in these days. And we analyze domestic energy demand side management (DSM) programs in order to introduce an EERS program into the country successfully. Energy efficiency potential calculated in 2007 is one of the important factors for establishing an EERS program domestically. This study may provide basic data to set the amount of energy saving when an EERS program would be phased in.

전력수요관리 데이터베이스 구축 (Database Construction for Electricity Demand-Side Management)

  • 박종진;이창호;김창수
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2000년도 하계학술대회 논문집 A
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    • pp.310-312
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    • 2000
  • This paper presents database for electricity demand-side management. Demand-Side Management(DSM) refers to programs that influence the usage of energy for improved economic efficiency and reduced environmental impact DSM can be looked upon as a tool for energy utilities to find resources on the demand side instead of on the supply side, or as a more general tool for society to better use and distribute scarce resources. In this paper, we construct the database for electricity demand-side management and apply it to residential and commercial sector.

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도시 내 건축물에너지 소비특성을 고려한 U-기반 도시에너지 수요 및 관리방안 연구 - 대구·경북을 중심으로 - (A study on the energy consumption and management of an U-based city considering the characteristics of building energy in a city - Focused on Daegu·Gyeongbuk Area -)

  • 이강국;김태우;현택수;홍원화
    • KIEAE Journal
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    • 제10권6호
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    • pp.21-26
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    • 2010
  • This study is to suggest basic data for the policy on the energy demand and management of an U-based city compliant with characteristics of regions and districts in future city by conducting research on the energy consumption and management of an U-based city, considering city energy demand characteristics focused on the center district of Daegu metropolitan city. U-based city energy consumption and management solution is considered to be effective in establishing the guideline of environment-friendly urban architecture planning as well as the assessment of energy consumption characteristics in a city.

건물 에너지 수요관리를 위한 BEMS 연계형 수요반응 시스템 개발 (Development of BEMS linked Demand Response System for Building Energy Demand Management)

  • 이상학
    • 한국위성정보통신학회논문지
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    • 제11권2호
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    • pp.36-41
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    • 2016
  • 건물을 에너지 수요관리 자원으로 활용하기 위해서는 수요 반응에 대응할 수 있는 자동화된 시스템을 필요로 한다. 에너지 수요관리 사업자의 출현으로 이를 뒷받침할 수 있는 건물 에너지 관리 시스템과 수요반응 시스템에 대한 연구 개발이 활발히 이루어지고 있다. 하지만 아직까지 자동화된 실시간 수요 반응 시스템 도입은 미흡하고 비용도 높다. 본 연구에서는 이를 해소하기 위해 건물을 대상으로 수요 반응 시스템 구축을 위한 OpenADR 프로토콜과 수요 반응에 참여할 수 있는 건물 에너지 관리 시스템을 개발하고 실환경에 적용하여 실증을 수행하였다. OpenADR은 표준 프로토콜로 사업자와 수요자원간의 이벤트 발생과 리포팅을 통해 자동화된 시스템이다. 또한 다양한 제어 시스템이 이용되고 있는 건물을 대상으로 단일화된 제어 시스템 구축을 위해 웹 기반 건물 자동제어 시스템을 개발하여 수요 반응 이벤트 발생 시 부하를 줄일 수 있도록 한다. 개발된 결과물을 건물에 적용하여 동작하는 것을 검증하고 감축량을 측정하여 수요반응 효과를 확인하였다.

부하관리 요금제 피크억제량 산정 개선방안 연구 (An Evaluation of Peak-Load Management in DSM Programs)

  • 김진호;홍준희
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2008년도 제39회 하계학술대회
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    • pp.572-573
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    • 2008
  • Demand side management can be defined as series of planning and programs to change the electric usage pattern of customers from their normal ones with a least cost while meeting customers electric demand. In general, conventional demand side management programs can be classified into two groups, one of which is a load management and the other is energy efficiency. In this paper, the load management tariff programs in Korea are explored in terms of their effect on the peak demand reduction.

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The Development of an Intelligent Home Energy Management System Integrated with a Vehicle-to-Home Unit using a Reinforcement Learning Approach

  • Ohoud Almughram;Sami Ben Slama;Bassam Zafar
    • International Journal of Computer Science & Network Security
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    • 제24권4호
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    • pp.87-106
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    • 2024
  • Vehicle-to-Home (V2H) and Home Centralized Photovoltaic (HCPV) systems can address various energy storage issues and enhance demand response programs. Renewable energy, such as solar energy and wind turbines, address the energy gap. However, no energy management system is currently available to regulate the uncertainty of renewable energy sources, electric vehicles, and appliance consumption within a smart microgrid. Therefore, this study investigated the impact of solar photovoltaic (PV) panels, electric vehicles, and Micro-Grid (MG) storage on maximum solar radiation hours. Several Deep Learning (DL) algorithms were applied to account for the uncertainty. Moreover, a Reinforcement Learning HCPV (RL-HCPV) algorithm was created for efficient real-time energy scheduling decisions. The proposed algorithm managed the energy demand between PV solar energy generation and vehicle energy storage. RL-HCPV was modeled according to several constraints to meet household electricity demands in sunny and cloudy weather. Simulations demonstrated how the proposed RL-HCPV system could efficiently handle the demand response and how V2H can help to smooth the appliance load profile and reduce power consumption costs with sustainable power generation. The results demonstrated the advantages of utilizing RL and V2H as potential storage technology for smart buildings.

Microgrid energy scheduling with demand response

  • Azimian, Mahdi;Amir, Vahid;Haddadipour, Shapour
    • Advances in Energy Research
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    • 제7권2호
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    • pp.85-100
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    • 2020
  • Distributed energy resources (DERs) are essential for coping with growing multiple energy demands. A microgrid (MG) is a small-scale version of the power system which makes possible the integration of DERs as well as achieving maximum demand-side management utilization. Hence, this study focuses on the analysis of optimal power dispatch considering economic aspects in a multi-carrier microgrid (MCMG) with price-responsive loads. This paper proposes a novel time-based demand-side management in order to reshape the load curve, as well as preventing the excessive use of energy in peak hours. In conventional studies, energy consumption is optimized from the perspective of each infrastructure user without considering the interactions. Here, the interaction of energy system infrastructures is considered in the presence of energy storage systems (ESSs), small-scale energy resources (SSERs), and responsive loads. Simulations are performed using GAMS (General Algebraic modeling system) to model MCMG, which are connected to the electricity, natural gas, and district heat networks for supplying multiple energy demands. Results show that the simultaneous operation of various energy carriers, as well as utilization of price-responsive loads, lead to better MCMG performance and decrease operating costs for smart distribution grids. This model is examined on a typical MCMG, and the effectiveness of the proposed model is proven.