• 제목/요약/키워드: Improve Power Generation

검색결과 570건 처리시간 0.024초

IT기반 분산전원 연계 배전계통의 최적전압조정에 관한 연구 (A study for IT Based Optimal Voltage Control Method of Distribution Systems with Distributed Generation)

  • 김정년;백영식;서규석
    • 대한전기학회논문지:전력기술부문A
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    • 제55권4호
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    • pp.139-143
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    • 2006
  • Recently, standard of living improved and Information-Communication industry developed rapidly. Thereby, interest about electric power quality is rising worldwide. So, research and Development to enhance electric power quality in various viewpoint until most suitable supply system from each kind device to improve electric power quality. And specially, interest about voltage quality is rising by diffusion increase of information communication appliance and minuteness control appliance etc. Also Power consumption is increasing, but expansion of large size generator by environmental and site security problem is difficult. So, introduction of distribution generation is investigated actively by electric-power industry reorganization. Voltage management of power system had been controlled by ULTC (Under Load Tap Changer) in substation and pole transformer on the high voltage distribution line. But, voltage control device on substation and distribution line is applied each other separatively. Therefore, efficiency of line voltage control equipment is dropping. Also, research about introduction upper limit of distribution generation is consisting continuously. This paper presents cooperation use way between voltage control device and introduction upper limit of distribution generation for most suitable voltage control in distribution power system.

정확도 향상을 위한 CNN-LSTM 기반 풍력발전 예측 시스템 (CNN-LSTM based Wind Power Prediction System to Improve Accuracy)

  • 박래진;강성우;이재형;정승민
    • 신재생에너지
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    • 제18권2호
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    • pp.18-25
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    • 2022
  • In this study, we propose a wind power generation prediction system that applies machine learning and data mining to predict wind power generation. This system increases the utilization rate of new and renewable energy sources. For time-series data, the data set was established by measuring wind speed, wind generation, and environmental factors influencing the wind speed. The data set was pre-processed so that it could be applied appropriately to the model. The prediction system applied the CNN (Convolutional Neural Network) to the data mining process and then used the LSTM (Long Short-Term Memory) to learn and make predictions. The preciseness of the proposed system is verified by comparing the prediction data with the actual data, according to the presence or absence of data mining in the model of the prediction system.

해양교통시설물의 파력발전 방오장치 설계 (Design of Marine Transport Facilitie's Anti-Fouling System of Wave Power Generation)

  • 김지윤;조관준;한성훈;오진석
    • 한국마린엔지니어링학회:학술대회논문집
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    • 한국마린엔지니어링학회 2011년도 전기공동학술대회 논문집
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    • pp.192-192
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    • 2011
  • For the safety of vessels sailing Marine Transport Facility announces sea route, reefs or shallow water. Photovoltaic, independent power system, installation in the general Marine Transport Facilities to be used in the marine lantern. Due to install of communications, controls, power consumption inceases. And the weather of cloudy day or rainy, generation of electricity is decrease. Recently, power system of marine facility using a hybrid generation system, photovoltaic generation system and wave power generation system. But increase of adhered shellfish inside the water column, is the cause of the reduction of efficiency. So study was conducted to Single channel AFS(Anti-Fouling system). In this paper we offer the Multi channel AFS for Marine Transport Facility and have simulated. Improve the accuracy of the research, we using the result of anode, in the experiment were actually in the buoy, is based on simulation. The experimental results is shown every anode's, in the Marine Transport Facility, ionization was conducted identically.

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소형 스털링 엔진을 이용한 태양열 발전 시스템 (Solar Power Generation System Using A Small-Sized Stirling Engine)

  • 김기범
    • 한국산학기술학회논문지
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    • 제13권8호
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    • pp.3339-3344
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    • 2012
  • 태양 에너지 변환 효율이 높은 접시형 집광기와 스털링 엔진을 이용한 발전 방식을 조사하기 위하여 본 연구에서는 소형 스털링 엔진을 이용하여 좁은 공간에서 발전용으로 사용할 수 있는 시스템을 개발하였고, 기초 실험을 수행하였다. 본 연구에서 제작한 발전 시스템을 위하여 50만원의 제작비가 소요되었고, 제작한 시스템으로 최대 0.56 kWh의 전기를 발전하였으며, 에너지 변환 효율은 약 10%로 측정되었다. 시스템의 최적 설계를 통하여 더 높은 출력을 얻을 수 있으며, 본 연구의 기초 실험 데이터는 많은 태양열 발전 관련 분야에서 유용하게 사용될 것으로 사료된다.

GAME MODEL AND ITS SOLVING METHOD FOR OPTIMAL SCALE OF POWER PLANTS ENTERING GENERATION POWER MARKET

  • Tan, Zhongfu;Chen, Guangjuan;Li, Xiaojun
    • Journal of applied mathematics & informatics
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    • 제26권1_2호
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    • pp.337-347
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    • 2008
  • Based on social welfare maximum theory, the optimal scale of power plants entering generation power market being is researched. A static non-cooperative game model for short-term optimization of power plants with different cost is presented. And the equilibrium solutions and the total social welfare are obtained. According to principle of maximum social welfare selection, the optimization model is solved, optimal number of power plants entering the market is determined. The optimization results can not only increase the customer surplus and improve power production efficiency, but also sustain normal profits of power plants and scale economy of power production, and the waste of resource can also be avoided. At last, case results show that the proposed model is efficient.

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낮은 일조량 구간에서 에너지 하베스팅 기술을 통한 발전량 향상 (Improvement of Power Generation through Energy Harvesting Technology in Low Sunlight Section)

  • 윤용호
    • 한국인터넷방송통신학회논문지
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    • 제22권3호
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    • pp.201-206
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    • 2022
  • 에너지 하베스팅(Harvesting)은 1954년 미국 벨 연구소가 태양광을 에너지로 바꾸는 태양전지 연구를 진행하면서 소개된 개념이다. 이러한 에너지 하베스팅 기술은 일상생활 속 버려지거나 미활용 되는 에너지를 모아 전력으로 재활용하는 기술로서 에너지를 효율적으로 활용할 수 있게 하는 친환경 에너지 방안 중 하나로서 다양한 에너지를 적용할 수 있다. 특별히 태양광발전시스템의 경우 맑은 날에 비해 흐린 날씨에 전력생산 Loss가 발생하는 형태로 인버터에서 발생하는 전력 소모를 줄이기 위해, 배터리를 이용하여 발생하는 전기를 저장함으로써 에너지 하베스팅을 적용할 수 있다. 따라서 본 논문에서는 일출, 일몰, 흐린 날씨 등의 낮은 일조량 구간에서 에너지 하베스팅 기술을 적용하여 인버터 동작 최저전압 이하 및 소멸하는 전력을 회수하여 발전량을 개선하고자 한다. 이에 따라 태양광발전 전력량에 따른 시스템 및 알고리즘 개발과 일몰, 일출, 그 밖에 환경에서 발전되는 저 전력을 이용한 시스템과 알고리즘 개발을 통해 연구내용을 증명하였다.

Effective Impulse Impedances of Deeply Driven Grounding Electrodes

  • Lee, Bok-Hee;Jeong, Dong-Cheol;Lee, Su-Bong;Chang, Keun-Chul
    • KIEE International Transactions on Electrophysics and Applications
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    • 제4C권5호
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    • pp.207-214
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    • 2004
  • This paper presents the characteristics of transient and effective impulse impedances for deeply driven grounding electrodes used in soil with high resistivity or in downtown areas. The laboratory test associated with the time domain performance of grounding piles subjected to a lightning stroke current has been carried out using an actual-sized model grounding system. The ground impedances of the deeply driven ground rods and grounding pile under impulse currents showed inductive characteristics, and the effective impulse ground impedance owing to the inductive component is higher than the power frequency ground impedance. Both power frequency ground impedance and effective impulse ground impedance decrease upon increasing the length of the model grounding electrodes. Furthermore, the effective impulse ground impedances of the deeply driven grounding electrodes are significantly amplified in impulse currents with a rapid rise time. The reduction of the power frequency ground impedance is decisive to improve the impulse impedance characteristics of grounding systems.

ARIMA Based Wind Speed Modeling for Wind Farm Reliability Analysis and Cost Estimation

  • Rajeevan, A.K.;Shouri, P.V;Nair, Usha
    • Journal of Electrical Engineering and Technology
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    • 제11권4호
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    • pp.869-877
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    • 2016
  • Necessity has compelled man to improve upon the art of tapping wind energy for power generation; an apt reliever of strain exerted on the non-renewable fossil fuel. The power generation in a Wind Farm (WF) depends on site and wind velocity which varies with time and season which in turn determine wind power modeling. It implies, the development of an accurate wind speed model to predict wind power fluctuations at a particular site is significant. In this paper, Box-Jenkins ARIMA (Auto Regressive Integrated Moving Average) time series model for wind speed is developed for a 99MW wind farm in the southern region of India. Because of the uncertainty in wind power developed, the economic viability and reliability of power generation is significant. Life Cycle Costing (LCC) method is used to determine the economic viability of WF generated power. Reliability models of WF are developed with the help of load curve of the utility grid and Capacity Outage Probability Table (COPT). ARIMA wind speed model is used for developing COPT. The values of annual reliability indices and variations of risk index of the WF with system peak load are calculated. Such reliability models of large WF can be used in generation system planning.

Preventive Control for Transient Security with Generation Rescheduling Based on Rotor Trajectory Index

  • Verma, Kusum;Niazi, K.R.
    • Journal of Electrical Engineering and Technology
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    • 제10권2호
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    • pp.465-473
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    • 2015
  • The increasing need to improve transient security assessment of existing or forecasted operating conditions of networks by power system operators is major concern of the power system security monitoring problem at the Energy Management Systems. This paper proposes a preventive control of transient stability with generation rescheduling based on rotor trajectory index obtained using time domain simulations. This index may help power engineers in making operational decision and to obtain a generation configuration with better transient security dispatch. The effectiveness of the proposed methodology is demonstrated on IEEE 39-bus New England system for a three phase fault at different loading conditions with single and multiple line outage cases.

새로운 MPPT 알고리듬의 시뮬레이션 및 실험을 통한 실증 연구 (A Novel Two-Mode MPPT Control Algorithm Based on Comparative Study of Existing Algorithms)

  • 최주엽;유권종;정영석
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2002년도 춘계학술대회 논문집 전기기기 및 에너지변환시스템부문
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    • pp.207-212
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    • 2002
  • As is well-known, the maximum power point(MPP) of PV power generation system depends on array temperature and solar insolation, it is necessary to track MPP of solar array all the time. Among various MPP control algorithms, the constant voltage control method, the perturbation and observation(P&O) method and the incremental conductance method(IncCond) have drawn many attractions due to the usefulness of each system. In this paper, the effectiveness of above mentioned three different control algorithms are thoroughly investigated via simulations and proposed efficiency evaluation method on experiment. Both the steady-state and transient characteristics of each control algorithms along with measured efficiency are analyzed, respectively. Finally, a novel MPPT control algorithm combining the constant voltage control and IncCond method for low insolation condition is proposed to improve efficiency of the 3KW PV power generation system.

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