• 제목/요약/키워드: Electricity

검색결과 4,284건 처리시간 0.025초

전력시장의 용량 메커니즘이 전력시장 성과에 미치는 동태적 효과 (Dynamic Effects of Capacity Mechanisms of Electricity Market on the Market Performances)

  • 장대철;박경배
    • 한국시스템다이내믹스연구
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    • 제12권4호
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    • pp.93-124
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    • 2011
  • The introduction of competition in the generation of electricity has raised the fundamental question of whether markets provide the right incentives for the provision of the capacity needed to maintain system reliability. Capacity mechanisms are adopted around the world to guarantee appropriate level of investment in electricity generation capacity. In this study, we discuss these approaches and analyze the capacity pricing mechanisms from the adequacy perspective. We conclude that the design of capacity mechanism is very important to decrease electricity spot price and increase total electric capacity. Specifically, the constant of capacity pricing mechanism made a difference to the performance of electricity market. However, the slope of capacity price mechanism is better than the constant of that in improving performance of electricity market.

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Electricity Market Design for the Incorporation of Various Demand-Side Resources in the Jeju Smart Grid Test-bed

  • Park, Man-Guen;Cho, Seong-Bin;Chung, Koo-Hyung;Moon, Kyeong-Seob;Roh, Jae-Hyung
    • Journal of Electrical Engineering and Technology
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    • 제9권6호
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    • pp.1851-1863
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    • 2014
  • Many countries are increasing their investments in smart grid technology to enhance energy efficiency, address climate change, and trigger a green energy revolution. In addition to these goals, Korea also seeks to promote national competitiveness, prepare for the growth of the renewable energy industry, and export industrialization through its strategic promotion of the smart grid. Given its inherent representativeness for Korean implementation of the smart grid and its growth potential, Jeju Island was selected by the Korean government as the site for smart grid testing in June 2009. This paper presents a new design for the electricity market and an operational scheme for testing Smart Electricity Services in the Jeju smart grid demonstration project. The Jeju smart grid test-bed electricity market is constructed on the basis of day-ahead and real-time markets to provide two-way electricity transaction environments. The experience of the test-bed market operation shows that the competitive electricity market can facilitate the smart grid deployment in Korea by allowing various demand side resources to be active market players.

Development of an Integrated Power Market Simulator for the Korean Electricity Market

  • Hur Jin;Kang Dong-Joo;Moon Young-Hwan
    • KIEE International Transactions on Power Engineering
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    • 제5A권4호
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    • pp.416-424
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    • 2005
  • At present, the Korean electricity industry is undergoing restructuring and the Cost Based-generation Pool (CBP) market is being operated in preparation of a Two Way Bidding Pool (TWBP) market. In deregulated electricity industries, an integrated power market simulator is one of the tools that can be used by market participants and market operators analyzing market behaviors and studying market structures and market codes. In this regard, it is very important to develop an electricity market simulator that reflects market code providing a market operation mechanism. This paper presents the development of an integrated market simulator, called the Power Exchange Simulator (PEXSIM), which is designed to imitate the Korean electricity market considering the various features of the market operating mechanism such as uniform price and constrained on/off payment. The PEXSIM is developed in VB.NET and composed of five modules whose titles are M-SIM, P-SIM, O-SIM, T-SIM and G-SIM interfacing the Access database program. To verify the features and the performance of the PEXSIM, a small Two Way bidding market with a 12-bus system and a One Way bidding market for generator competition will be presented for the electricity market simulations using PEXSIM.

USN 기반의 산업용 전력관리시스템 구현 (Implementation of Electricity Power Management System for Industries based on USN)

  • 김민호;이남길
    • 한국인터넷방송통신학회논문지
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    • 제12권4호
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    • pp.103-109
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    • 2012
  • 본 논문은 현재 급격히 증가하는 전력을 효율적으로 관리하고 낭비를 최소화하기 위한 전력 관리 시스템을 제안한다. 기업, 공장, 관공서, 학교 등의 환경에 최적화된 USN(Ubiquitous Sensor Network)을 기반으로 한 산업용 전력관리시스템을 구현하였다. 콘센트에 직접 부착하여 전력량 측정 및 전력제어가 가능하다. 전력센서를 PLC(Power Line Communication)와 TCP/IP 통신을 통하여 하나의 네트워크로 구성하고 전력을 감시 및 제어한다. 수집된 데이터를 기반으로 전력을 효율적으로 유지관리 할 수 있으며, 또한 안드로이드 기반 앱을 통하여 언제 어디서나 서버에 접속하여 전력량을 관리하고 낭비되는 전력을 효율적으로 관리할 수 있는 시스템을 구현하였다.

A Multiple Variable Regression-based Approaches to Long-term Electricity Demand Forecasting

  • Ngoc, Lan Dong Thi;Van, Khai Phan;Trang, Ngo-Thi-Thu;Choi, Gyoo Seok;Nguyen, Ha-Nam
    • International journal of advanced smart convergence
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    • 제10권4호
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    • pp.59-65
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    • 2021
  • Electricity contributes to the development of the economy. Therefore, forecasting electricity demand plays an important role in the development of the electricity industry in particular and the economy in general. This study aims to provide a precise model for long-term electricity demand forecast in the residential sector by using three independent variables include: Population, Electricity price, Average annual income per capita; and the dependent variable is yearly electricity consumption. Based on the support of Multiple variable regression, the proposed method established a model with variables that relate to the forecast by ignoring variables that do not affect lead to forecasting errors. The proposed forecasting model was validated using historical data from Vietnam in the period 2013 and 2020. To illustrate the application of the proposed methodology, we presents a five-year demand forecast for the residential sector in Vietnam. When demand forecasts are performed using the predicted variables, the R square value measures model fit is up to 99.6% and overall accuracy (MAPE) of around 0.92% is obtained over the period 2018-2020. The proposed model indicates the population's impact on total national electricity demand.

전력산업의 온실가스 배출요인 분석 및 감축 방안 연구 (Decomposition Analysis of CO2 Emissions of the Electricity Generation Sector in Korea using a Logarithmic Mean Divisia Index Method)

  • 조용성
    • 한국기후변화학회지
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    • 제8권4호
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    • pp.357-367
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    • 2017
  • Electricity generation in Korea mainly depends on thermal power and nuclear power. Especially the coal power has led to the increase in $CO_2$ emissions. This paper intends to analyze the current status of $CO_2$ emissions from electricity generation in Korea during the period 1990~2016, and apply the logarithmic mean Divisia index (LMDI) technique to find the nature of the factors influencing the changes in $CO_2$ emissions. The main results as follows: first, $CO_2$ emission from electricity generation has increased by $165.9MtCO_2$ during the period of analysis. Coal products is the main fuel type for thermal power generation, which accounts about 73% $CO_2$ emissions from electricity generation. Secondly, the increase of real GDP is the most important contributor to increase $CO_2$ emissions from electricity generation. The carbon intensity and the electricity intensity also affected the increase in $CO_2$ emission, but the energy intensity effect and the dependency of thermal power effect play the dominant role in decreasing $CO_2$ emissions.

친환경자동판매기의 국내 대학교 에너지 소비 개선 효과 - 수도권 대학을 중심으로 - (Empirical Research of Energy Saving based on Measurement of The Consumed Power of University's Electric Vending Machine)

  • 김정훈;김정인
    • 한국기후변화학회지
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    • 제7권1호
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    • pp.95-101
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    • 2016
  • This study measured the amount of electricity consumed by the vending machines installed on campus and aim to come up with measures to address excessive consumption of electricity. We chose 10 universities located in the city of Seoul and Gyeonggi province and measured electricity consumption of 10 vending machines installed in each university. We then calculated annual electricity consumption of the machines based on previously calculated electricity consumption of 100 samples. According to the result of the calculation, it is estimated that the machines studied on consume 700 KWh a year. This amount could translate into approximately 3,000 tons of annual carbon emissions and 640 million KRW in annual electricity bills. It was also found that there is a significant difference between ordinary vending machines and machines certified for being eco-friendly and energy efficient, in terms of electric power consumption. It is expected that, if the ordinary machines are replaced with the eco-friendly and high-efficient machines, 640 KWh of electricity, 300 kg of carbon, and 61,640 KRW in electricity bills would be saved, which means 28% saving in energy, emissions and bills. In conclusion, we determined that, as one of the ways to reduce electric power consumption and carbon emissions, old vending machines on campus could be replaced with eco-friendly and high-efficient machines.

지역별 차등 전기요금제 적용을 위한 공간 단위 검토: 시·군·구별 전력 자급률을 기준으로 (A Study on the Spatial Units Adequacy for the Regional Pricing of Electricity: Based on Electricity Self-sufficiency Rates by Si·Gun·Gu)

  • 이정섭;이강원
    • 한국경제지리학회지
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    • 제26권2호
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    • pp.96-109
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    • 2023
  • 최근 지역별 차등 전기요금제 도입과 전력 자급률에 관한 논의가 활발하게 진행되고 있다. 우리나라는 발전 시설의 편재성이 상당히 높고 전기 생산과 소비지역 간 불균형이 존재하기에 현행 전국 동일 전기요금제를 대신해서 지역별로 다른 요금을 부과하자는 것이며, 전기 생산과 소비지역을 구분·식별하는 기준으로서 지역별 전력 자급률이 제시되고 있다. 그런데 상당수 논의에서 전력 자급률을 측정하는 공간 단위를 17개 시·도 지역으로 설정하고 있는데, 그 적절성에 대한 분석이 필요하다. 이 연구에서는 전력 자급률을 17개 시·도 그리고 229개 시·군·구를 공간 단위로 설정하여 분석하였다. 분석 결과, 시·도 단위에서는 전기 생산량이 소비량보다 많은 지역이 7곳, 그 반대가 10곳이지만 시·군·구 단위에서는 각각 38곳과 191곳이었다. 아울러 전력 자급률 측정은 간단하고 직관적으로 전기 생산과 소비지역을 파악할 수 있다는 장점이 있지만, 전기요금의 지역 차등의 기준으로는 몇몇 문제가 있음을 지적한다.

포스텍 캠퍼스의 전력 사용 데이터 수집 및 분석 (Collection and Analysis of Electricity Consumption Data in POSTECH Campus)

  • 류도현;김광재;고영명;김영진;송민석
    • 품질경영학회지
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    • 제50권3호
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    • pp.617-634
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    • 2022
  • Purpose: This paper introduces Pohang University of Science Technology (POSTECH) advanced metering infrastructure (AMI) and Open Innovation Big Data Center (OIBC) platform and analysis results of electricity consumption data collected via the AMI in POSTECH campus. Methods: We installed 248 sensors in seven buildings at POSTECH for the AMI and collected electricity consumption data from the buildings. To identify the amounts and trends of electricity consumption of the seven buildings, electricity consumption data collected from March to June 2019 were analyzed. In addition, this study compared the differences between the amounts and trends of electricity consumption of the seven buildings before and after the COVID-19 outbreak by using electricity consumption data collected from March to June 2019 and 2020. Results: Users can monitor, visualize, and download electricity consumption data collected via the AMI on the OIBC platform. The analysis results show that the seven buildings consume different amounts of electricity and have different consumption trends. In addition, the amounts of most buildings were significantly reduced after the COVID-19 outbreak. Conclusion: POSTECH AMI and OIBC platform can be a good reference for other universities that prepare their own microgrid. The analysis results provides a proof that POSTECH needs to establish customized strategies on reducing electricity for each building. Such results would be useful for energy-efficient operation and preparation of unusual energy consumptions due to unexpected situations like the COVID-19 pandemic.

원자력 발전에 대한 과세방안 연구 (Assessing Possible Tax Plans on Nuclear Electricity Generation in Korea)

  • 홍성훈
    • 자원ㆍ환경경제연구
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    • 제31권4호
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    • pp.711-731
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    • 2022
  • 우리나라에서 원자력 발전은 전체 발전량 대비 비율이 높고 단가는 상대적으로 낮은 기저 발전원에 해당한다. 원자력 발전의 중요성과 규모에도 불구하고, 원자력 발전에 대한 조세 및 부담금 제도는 상대적으로 미흡하다. 우리나라처럼 원자력 발전이 중요한 역할을 하는 다른 국가의 제도를 살펴보면, 발전 시설, 발전연료 소비, 전력 생산량 등을 기준으로 원자력 발전에 과세하는 것을 확인할 수 있다. 우리나라 중앙정부가 원자력 발전에 과세할 경우, 발전연료 또는 발전량을 기준으로 과세할 수 있을 것으로 판단한다. 액화천연가스 또는 유연탄을 비교대상 에너지원으로 보고, 에너지원 간의 열량당 세율이 같도록 세율을 설정하는 상황을 가정하여, 원자력 발전에 대한 과세방안을 검토한다. 발전연료에 과세할 때, 우라늄 밀리그램당 90원 수준의 세율로 과세할 수 있고, 약 4천 3백억 원의 추가적인 조세 수입이 발생할 것으로 보인다. 발전량에 과세하면, 원자력 발전량 킬로와트시당 11원 수준의 세율로 과세할 수 있고, 약 1조 6천억 원의 조세 수입이 증가할 것이다.