• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.5
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• pp.825-832
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• 2022

In this paper, we discuss the design and implementation of predictive and diagnostic models for realizing intelligent predictive models by collecting and storing the power output of agricultural photovoltaic power generation systems. Our model predicts the amount of photovoltaic power generation using RNN, LSTM, and GRU models, which are recurrent neural network techniques specialized for time series data, and compares and analyzes each model with different hyperparameters, and evaluates the performance. As a result, the MSE and RMSE indicators of all three models were very close to 0, and the R2 indicator showed performance close to 1. Through this, it can be seen that the proposed prediction model is a suitable model for predicting the amount of photovoltaic power generation, and using this prediction, it was shown that it can be utilized as an intelligent and efficient O&M function in an agricultural photovoltaic system.

• New & Renewable Energy
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• v.1 no.1 s.1
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• pp.24-31
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• 2005

수소에너지는 궁극적으로 인류가 당면하고 있는 에너지와 환경 문제를 동시에 해결할 수 있는 유일한 꿈의 에너지원으로 평가된다. 향후 $30\~40$년 뒤에 예상되는 수소에너지 시대, 즉 수소경제의 비전이 달성될 때 수소이용 기술인 연료전지 기술은 보편화돼 새로 건설되는 발전소는 연료전지 발전소가 대부분일 것이며, 가정과 상업용 건물에도 연료전지가 설치될 것이다. 또한 운행되는 상당 부분의 승용차와 버스가 연료전지 차량이며, 이에 상응해 주유소의 절반 정도는 연료전지 차량에 수소를 공급하는 수소 주유소로 대체될 것이다. 그러나 이러한 꿈을 이루기 위해서는 수소에너지 체계의 핵심인 연료전지 기술의 상용화는 물론 풍력, 태양 등을 이용한 대체에너지원으로부터의 수소생산기술, 수소저장, 운송에 이르는 수송 인프라스트럭처 구축 등 해결해야 할 과제가 적지 않다. 본 고에서는 수소이용기술의 대표적 기술인 연료전지 기술의 개발현황과 전망을 소개하고자 한다. 특히 연료전지 기술을 조기 상용화 하고자 하는 각 국의 노력을 소개하고, 응용분야별 해결되어야 할 기술적 문제 등을 소개한다.

• Journal of Advanced Navigation Technology
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• v.22 no.3
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• pp.233-239
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• 2018

Since solar power generation is intermittent depending on weather conditions, it is necessary to predict the accurate generation amount of solar power to improve the efficiency and economical efficiency of solar power generation. This study proposes a short - term deep learning prediction model of solar power generation using meteorological data from Mokpo meteorological agency and generation data of Yeongam solar power plant. The meteorological agency forecasts weather factors such as temperature, precipitation, wind direction, wind speed, humidity, and cloudiness for three days. However, sunshine and solar radiation, the most important meteorological factors for forecasting solar power generation, are not predicted. The proposed model predicts solar radiation and solar radiation using forecast meteorological factors. The power generation was also forecasted by adding the forecasted solar and solar factors to the meteorological factors. The forecasted power generation of the proposed model is that the average RMSE and MAE of DNN are 0.177 and 0.095, and RNN is 0.116 and 0.067. Also, LSTM is the best result of 0.100 and 0.054. It is expected that this study will lead to better prediction results by combining various input.

• Proceedings of the KIPE Conference
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• 2013.11a
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• pp.113-114
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• 2013

일본은 동일본 대지진 이후로 원자력 발전 가동을 점차 중단시켜 가고 있는 추세이고 이에 발 맞추어 신재생에너지 발전 비중은 높아지고 있다. 특히 태양광 발전에 대한 관심은 주택용 뿐 아니라 발전소 수준의 메가솔라 시장으로 확대 되어 가고 있다. 본 논문에서는 일본형 대용량 계통연계형 태양광 인버터들이 가져야 할 기능 중 FRT 기능에 관해 일본 계통연계 규정인 JEAC 9701-2010을 기반으로 알아보고자 한다.

• Solar Energy
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• v.9 no.3
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• pp.81-91
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• 1989

This study represents the method to predict the flow duration curve and primary design specifications of small hydropower plant at hydropower site through analyzing the monthly rainfall data. Weibull distribution was selected to characterize the rainfall data and Thiessen method was used to calculate monthly average flowrate at site. Application of these results, primary design specifications such as design flowrate, annual average load factor and utility factor, annual average hydropower density and annual electric energy production were estimated and discussed for surveyed site located in Daigi-ri, Kangwon province. And performance characteristic model of small hydro-power plant was applied to estimate these specifications.

• Proceedings of the KIEE Conference
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• 2006.07a
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• pp.194-195
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• 2006

미래의 전력 시스템은 환경과 기술적인 이유로 인해 더욱더 많은 분산전원을 이용하게 될 것이다. 분산전원은 서로 다른 특징을 가지고 있고 또한 배전계통에서 기존의 계통운영과는 다른 형태로 운전될 것이다. 이런 관점에서 다수의 분산전원을 모아 하나의 가상의 발전소로 운영하는 개념이 등장하게 되었는데, 이를 Virtual Power Plant(VPP)라고 한다. VPP는 매니지먼트 시스템이 관리하는 여러 클러스터들로 이루어져 있으며 이들 클러스터들은 각각 여러 종류의 분산전원으로 구성되어 있다. 본 논문에서는 클러스터를 이루는 분산전원을 어떻게 운영하는 것이 최적의 경제적 효율을 지닐 수 있을 지에 대해 논의하게 될 것이다. 디젤 발전기의 출력의 경우 그 소유자에 의해 제어가 가능하지만, 태양광 발전 시스템의 경우 기상 상태에 따라 그 출력이 결정된다. 따라서 이러한 각각의 특성을 고려하여 본 논문에서는 디젤, CHP(Combined Heat and Power), 보일러, 태양광발전으로 구성된 복합 시스템에서 각 시간별로 수용가의 전력 및 열 수요와 분산전원의 에너지 생산을 비교하여 VPP 최적 운영 계획을 구성하였다.

• 한국태양에너지학회:학술대회논문집
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• 2012.03a
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• pp.494-497
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• 2012

A methodology to predict the output performance of small hydro power using treated effluent in wastewater treatment plant has been studied. Existing plant located Kyunggi-Do were selected and the output performance characteristics for these plants were analyzed. As a result, it was found that the developed model in this study can be used to analyze the output characteristics for small hydro power in wastewater treatment plant. Additionally, primary design specifications such as design flowrate, capacity, operational rate and annual electricity production were estimated and discussed.

• Journal of the Korean Solar Energy Society
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• v.29 no.6
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• pp.56-61
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• 2009

The effects of design parameters for small scale hydro power(SSHP) plants due to climate change have been studied. The model to predict hydrologic performance for SSHP plants is used in this study. The results from analysis far rainfall conditions based on KIER model show that the capacity and load factor of SSHP site had large difference between the period. Especially, the hydrologic performance of SSHP site due to rainfall condition of recent period varied in design flowrate sensitively. However climate change gave small effect in load factor of existing SSHP plant. And also, the methodology represented in this study can be used to decide the primary design specifications of SSHP sites.

• Solar Energy
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• v.18 no.3
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• pp.153-160
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• 1998

The methodology and feasibility analysis model for small hydropower plant has been studied and developed. It consists of two main part, the performance prediction model to estimate the performance characteristics and economics anaysis model to evaluate economical characteristics for surveyed sites. The performance characteristics and feasibility assessment for surveyed sites were analyzed, using developed models. Also, primary design specifications such as design flowrate, capacity, load factor were estimated and discussed for surveyed sites in Dan-yang and feasibility was suggested through analyzing the investment, unit cost and payback period.

• 한국태양에너지학회:학술대회논문집
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• 2011.04a
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• pp.229-234
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• 2011

Feasibility assessment for small hydropower plants using diversion weirs located in stream for agricultural purpose has been studied. The model, which can predict flow duration characteristic of stream, was developed to analyze the inflow caused from rainfall. And another model to predict hydrologic performance for small hydropower plants is established. Preliminary survey was performed identifying several candidate sites, and two sites were selected finally for actual site reconnaissance. During the course of site survey, generating capacity, construction and equipment cost, and payback through life time of each sites were calculated for economical feasibility analysis. The results of this study have estimated that the small hydropower plants using diversion weirs for agricultural purpose may offer better opportunities in future with increasing fuel cost and nation's energy policy.