• 한국지능시스템학회논문지
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• 제25권3호
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• pp.299-305
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• 2015

Global environmental concerns and the ever increasing need of energy, coupled with steady progress in renewable energy technologies, are opening up new opportunities for utilization of renewable energy resources. Distributed electricity generation is a suitable option for sustainable development thanks to the load management benefits and the opportunity to provide electricity to remote areas. Solar energy being easy to harness, non-polluting and never ending is one of the best renewable energy sources for electricity generation in present and future time. Due to the random and intermittent nature of solar source, PV plants require the adoption of an energy storage and management system to compensate fluctuations and to meet the energy demand during night hours. This paper presents an efficient, economic and technical model for the design of a MPPT based grid connected PV with battery storage and management system. This system satisfies the energy demand through the PV based battery energy storage system. The aim is to present PV-BES system design and management strategy to maximize the system performance and economic profitability. PV-BES (photovoltaic based battery energy storage) system is operated in different modes to verify the system feasibility. In case of excess energy (mode 1), Li-ion batteries are charged using CC-CV mechanism effectively controlled by fuzzy logic based PID control system whereas during the time of insufficient power from PV system (mode 2), batteries are used as backup to compensate the power shortage at load and likewise other modes for different scenarios. This operational mode change in PV-BES system is implemented by State flow chart technique based on SOC, DC bus voltages and solar Irradiance. Performance of the proposed PV-BES system is verified by some simulations study. Simulation results showed that proposed system can overcome the disturbance of external environmental changes, and controls the energy flow in efficient and economical way.

• 한국신재생에너지학회:학술대회논문집
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• 한국신재생에너지학회 2011년도 춘계학술대회 초록집
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• pp.140-140
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• 2011

Korea's RPS, which requires that power generation companies obtain a minimum percentage of their generation by using renewable energy, will take effect in 2012. Based on the first-year law enforcement, generation companies have to satisfy 2% of RPS compliance ratio in 2012. Then, the required RPS compliance ratio will increase up to 10% in 2022. Thus generation companies need to construct power plants that utilize various types of renewable energy sources such as PV and wind power. This work is aimed to analyze the cost of such a renewable power source in terms of capital cost, capacity factor, and fuel cost. We provide the analytical expectation on the renewable power generation cost of 2012 focusing on PV, onshore/offshore wind, fuel cell, and IGCC, which are focused by government policy.

• Current Photovoltaic Research
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• 제8권3호
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• pp.79-85
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• 2020

The growing demand for new energy infrastructure has often been encountered with the difficulties of siting in power plants and electric transmission lines. Siting such large-scale and complex facilities produces so many-sided issues that it is highly necessary to develop an approach to resolving the related problems and conflicts. This paper introduces how the stakeholders have handled the issues and resolved conflicts with residents opposed the construction of 765 kV transmission line. The solar photovoltaic power generation, called "Hee-Mang Sunlight Power project", is used for persuading residents to agree with constructing high-voltage transmission line and sharing benefits. It is considered how the project performance such as generation output and resident's profits is and proposed what the project should be revised and supplement. The project is shown that the intractable spiting in energy systems can be smartly resolved with cost-effective institutional solutions instead of relatively expensive technical ones.

• Journal of Information Processing Systems
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• 제19권6호
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• pp.791-802
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• 2023

The manual inspection of photovoltaic (PV) panels to meet the requirements of inspection work for large-scale PV power plants is challenging. We present a hot spot detection and positioning method to detect hot spots in batches and locate their latitudes and longitudes. First, a network based on the YOLOv3 architecture was utilized to identify hot spots. The innovation is to modify the RU_1 unit in the YOLOv3 model for hot spot detection in the far field of view and add a neural network residual unit for fusion. In addition, because of the misidentification problem in the infrared images of the solar PV panels, the DeepLab v3+ model was adopted to segment the PV panels to filter out the misidentification caused by bright spots on the ground. Finally, the latitude and longitude of the hot spot are calculated according to the geometric positioning method utilizing known information such as the drone's yaw angle, shooting height, and lens field-of-view. The experimental results indicate that the hot spot recognition rate accuracy is above 98%. When keeping the drone 25 m off the ground, the hot spot positioning error is at the decimeter level.

• 한국태양에너지학회 논문집
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• 제36권5호
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• pp.19-30
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• 2016

In this study, realize voltage regulation $220Vac{\pm}10%$ or less, frequency fluctuation $60Hz{\pm}1%$ or less over the independent operation and grid-connected operation technologies for power stabilization relates to the ESS designed and manufactured in conjunction with solar installations and solar to compensate the output reduction due to the polarization of the solar module through the polarization prevention technology for preventing the optical module efficiency is lowered, in conjunction with the BMS inverter efficiency was more than 92%, more than 90% of the charging efficiency to the target. This study was designed in conjunction with the ESS solar power plants, grid-connected operation and independent operation, Peak-Cut, it can stabilize the grid via the Peak-Shifting operation

• 한국태양에너지학회 논문집
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• 제39권6호
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• pp.113-125
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• 2019

With the opening of the small power brokerage business market in December 2018, the small power trading market has started in Korea. Operators must submit the day-ahead estimates of power output and receive incentives based on its accuracy. Therefore, the accuracy of power generation forecasts is directly affects profits of the operators. The forecasting process for power generation can be divided into two procedure. The first is to forecast solar irradiation and the second is to transform forecasted solar irradiation into power generation. There are two methods for transformation. One is to simulate with physical model, and another is to use regression model. In this study, we found the best-fit regression model by analyzing hourly data of PV output and solar irradiation data during three years for 242 PV plants in Korea. The best model was not a linear model, but a sigmoidal model and specifically a Gompertz model. The combined linear regression and Gompertz curve was proposed because a the curve has non-zero y-intercept. As the result, R² and RMSE between observed data and the curve was significantly reduced.

• 한국태양광발전학회지
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• 제6권1호
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• pp.69-75
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• 2020

Mongolia is located between Russia and China in Central Asia. In coal-rich corners, both the energy and energy sectors of our country prevail. Mongolia has vast resources of renewable energy and limited hydropower plants, such as wind and solar. In their first iNDC (intended Nationally Determined Contributions) submitted in 2015, Mongolia has pledged to increase the share of renewables capacity to 20% by 2020, and 30% by 2030 while reducing their energy related GHG emissions.

• 신재생에너지
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• 제17권1호
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• pp.61-75
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• 2021

Power generation using solar PV and wind power are more feasible to compete with fossil fuel power generation. However, residential acceptance is still a big challenge in the deployment of renewable energy. The Korean government has implemented various policies to support the development of renewable energy in which communities invest. However, there are very few cases of the commercial operation of community-invested renewable energy power plants. Renewable energy has attracted attention in the reduction of greenhouse gasses (GHG) effects and economic feasibility. However, it is also necessary to focus on socio-economic effects to overcome the economic recession while reducing greenhouse emissions. Community-invested renewable energy development projects can positively revitalize the local economy in many aspects, such as resident income, job creation, and the growth of local businesses. This study analyzes the local economic impact of renewable energy development projects on residents' income and job creation. It increased local companies' sales through community-invested development projects in Korea.

• 한국전자통신학회논문지
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• 제17권2호
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• pp.299-308
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• 2022

최근 에너지전환정책은 소규모 태양광발전기 수량을 증가시키고 있다. 계통운영자는 이러한 소규모 태양광 발전량을 정확하게 예측하기가 어렵고 급전계획을 방해할 수도 있으며, 결과적으로 비용상승이 초래될 것이다. 이러한 문제를 해결하는 방법으로 소규모 태양광발전소에서 생산되는 발전량, 전압제어에 대하여 불확실성을 줄이고 예비전력을 공급하는 소규모 태양광발전소의 집합체로서 가상발전소가 떠오르고 있다. 본 연구에서는 가상발전소 클라우드 요금산정을 위하여 순현재가치법과 수익성지수법을 사용하며, 두 종류의 비용평가법 계산결과가 상세하게 설명된다. 계산결과로부터 수익성지수가 1.22로 산정되어 수익성을 확보한 것으로 나타났으며, 순현재가치가 수익성을 충분히 만족시키기 때문에 중개사업자 관점에서 매력적이다.

• 한국신재생에너지학회:학술대회논문집
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• 한국신재생에너지학회 2011년도 춘계학술대회 초록집
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• pp.139.2-139.2
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• 2011

Compared with a traditional power system of electricity providers, distributed power systems consist of power suppliers which are small and demand-oriented. Each small power supplier tends to utilizes renewable energy sources such as solar and wind power. It is because that home renewable energy systems do not need a large scale infrastructure which is required for traditional power plants. In this work we study an economic feasibility of such a renewable energy source. We describe how renewable power generation works and what it brings in terms of economic benefits. Also, we analyze limitations by the current policy and their possible solutions.