• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.10
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• pp.2450-2456
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• 2015

In this paper, we propose a real-time remote monitoring system for distributed solar power generation system. The proposed system consists of PVC, UTC, OTC and monitoring server. PVC collects the operational information from the PV's inverter via serial interface. The sensing data is transmitted to the server by wireless communications and stored in the DB server. The PV's status is monitored via UTC, and the operating of PVC and UTC are managed by OTC. In addition, by providing information about the power generated by PV system and failure diagnosis in real time, the proposed system shows the possibility of reducing the maintenance costs and improved failure recovery time.

• Proceedings of the KIPE Conference
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• 2017.07a
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• pp.70-71
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• 2017

This paper presents a new cascaded boost multilevel converter topology for distributed generation (DG) systems. Most of DG systems, such as photovoltaic (PV), wind turbine and fuel cells, normally require the complex structure power converters, which makes the system expensive, complex and hard to control. However, the proposed converter topology can generate a much higher output voltage just by using the standard low-voltage switch devices and low voltage DC-sources in a simplified structure, also enhancing the reliability of the switch devices. Simulation and experimental results with a 1.2kW system are presented to validate the proposed topology and control method.

• Journal of Korean Society on Water Environment
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• v.37 no.6
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• pp.493-500
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• 2021

Floating solar photovoltaic (hereinafter PV) power generation is emerging as a proper alternative to overcome various environmental limitations of existing offshore PV generation. However, more government-led policy design and technical and institutional development are still required. Based on the policy agenda setting theory and technological innovation theory, this study contains the research questions concerning the co-evolution of technology and the floating solar PV policy. This study primarily evaluates the technological and institutional development level of floating solar PV policy through a survey of domestic floating solar PV experts. Secondly, we also analyze the kind of policy agenda that should be set a priori. Analyzing the priorities to be considered, the first environmental enhancement needs to be considered from both the technical and institutional aspects. The second candidate task for the policy agenda is residents' conflict and improvement of regulations. Both candidate tasks need to be actively considered in the policy agenda from the institutional point of view. The third is publicity, profit sharing, follow-up monitoring, and cost. Among them, public relations and profit sharing are tasks that need to be considered in the policy agenda from the institutional point of view. On the other hand, the cost of follow-up monitoring should be considered as a policy agenda in terms of technology, system, and common aspects. Finally, there are technical standards. Likewise, technical standards need to be considered in the policy agenda in terms of both technical and institutional commonality.

• Journal of Advanced Navigation Technology
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• v.23 no.6
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• pp.561-569
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• 2019

Solar photovoltaic can provide electrical energy with only radiation, and its use is expanding rapidly as a new energy source. This study predicts the short and long-term PV power generation using actual converter output data of photovoltaic system. The prediction algorithm uses multiple linear regression, support vector machine (SVM), and deep learning such as deep neural network (DNN) and long short-term memory (LSTM). In addition, three models are used according to the input and output structure of the weather element. Long-term forecasts are made monthly, seasonally and annually, and short-term forecasts are made for 7 days. As a result, the deep learning network is better in prediction accuracy than multiple linear regression and SVM. In addition, LSTM, which is a better model for time series prediction than DNN, is somewhat superior in terms of prediction accuracy. The experiment results according to the input and output structure appear Model 2 has less error than Model 1, and Model 3 has less error than Model 2.

• Proceedings of the KIEE Conference
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• 2005.07b
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• pp.1684-1686
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• 2005

As photovoltaic(PV) power generation systems become more common, it will be necessary to investigate islanding detection method for PV systems. Islanding of PV systems can cause a variety of problems and must be prevented. However, if the real and reactive power of load and PV system are closely matched, islanding detection by passive methods becomes difficult. Also, most active methods lose effectiveness when there are several PV systems feeding the same island. The active frequency drift positive feedback method(AFDPF) enables islanding detection by forcing the frequency of the voltage in the island to drift up or down. In this paper the research for the minimum value of chopping fraction gain applied digital phase-locked-loop(DPLL) to AFDPF considering output power quality and islanding prevention performance are performed by simulation and experiment in IEEE Std 929-2000 islanding test.

• Proceedings of the KIPE Conference
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• 2019.11a
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• pp.214-215
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• 2019

최근 신재생에너지 시스템의 보급 및 확산에 따라 자가발전시스템에 관한 연구가 활발히 이루어지고 있다. 특히 도시의 빌딩에 에너지를 효율적으로 공급 및 관리하기 위해 다양한 발전원의 하이브리드 시스템의 필요성이 대두되고 있다. 본 논문에서는 태양광(PV, Photovoltaic), 연료전지(FC, Fule Cell), 바나듐 레독스 흐름전지(VRFB, Vanadium Pedox Flow Battery)를 사용하여 도시형에 적합한 빌딩용 신재생에너지 하이브리드 발전/저장 시스템을 제안한다.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.60 no.10
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• pp.1865-1874
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• 2011

This paper proposes a novel maximum power point tracking(MPPT) using a new fuzzy control(NFC) algorithm for robust in insolation variation. Maximum power point(MPP) of solar cell has to achieve for improving output efficiency because it is changed with insolation and temperature. Conventional MPPT controller such as constant voltage(CV), perturbation and observation(PO) and incremental conductance(IC) are researched. But these controller have the problem that is failure to MPP with environment changing. The proposed NFC controller is based the fuzzy control algorithm and able to robust control with environment changing. Also the proposed controller of PV system is modeled by PSIM and the response characteristics according to the parameter variation is compared and analyzed. The validity of this controller is proved through response results.

• Proceedings of the KIPE Conference
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• 1998.10a
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• pp.547-553
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• 1998

In this paper, we composed of utility interactive pv generation system of voltage source inverter, and represented uninterrutible power supply (UPS) equipment maintaining constant voltage, using a pulse width modulation(PWM) voltage fed inverter, as power source disconnection, voltage variation and output current variation with load variation. This system is driven by being synchronized voltage fed inverter and AC source, and in the steady state of power source charge battery connected to dc side with solar cell using a photovoltaic (PV) that it was so called constant voltage charge. In addition, better output waveform was generated because of PWM method, and it was proved to test by experiment maintained constant output voltage regardless of AC source disconnection, load variation, and voltage variation of AC power source.

• Journal of the Korean Solar Energy Society
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• v.39 no.6
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• pp.93-112
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• 2019

In this paper, a very new web-based software for renewable energy system (RES) design and economic evaluation was introduced. This solution would provide the precise RES estimation service including not only photovoltaic (PV), wind turbine (WT) and fuel cell (FC) individually but also energy storage system (ESS) as combined forms with PV or WT. The three reasons why we ought to develop it are: First, the standardized tool suitable to the domestic environment for estimating power generation from RES facilities and economic evaluation is required. Secondly, the standardized tool is needed to spread domestic RES supply policy and to promote the new industry in the micro-grid field. The last, the reliability of economic evaluation should be enhanced more for new facilities. To achieve those aims, the weather database of one hundred locations have established and the RES facility database has also constructed. For the energy management, mathematical models for PV, WT, ESS and FC were developed. As a final phase, the analytical process to evaluate economics has performed with field data verification.

• Journal of the Korean Solar Energy Society
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• v.39 no.2
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• pp.33-43
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• 2019

In this study, reflecting long-term climate characteristics, we analyzed electricity generation and generation characteristics of 3kWp PV system, which was semi-integrated with air duct behind. Using PVsyst as a simulation analysis tool, we inputted "National reference standard weather data" of 16 regions as a typical climatic data. The result is summarized as follows: First, the national average annual electricity generation was 1,312 kWh/kWp (StDev, ${\sigma}=71$). It was most abundant in Mokpo with 1,434 kWh/kWp, which was average 21% greater than the lowest with 1,165 kWh/kWp in Seoul and 1,197 kWh/kWp in Jeju. National average daily generating time based on STC was 3.6 hours (${\sigma}=0.43$), and that of Mokpo and Seoul was 3.9 and 3.2 hours respectively. Second, Jeju showed the great difference of annual monthly generation by month (annual average = 99.7 kWh/kWp, ${\sigma}=25.5$), while Jinju showed the smallest difference (annual average = 115.5 kWh/kWp, ${\sigma}=10.6$). Generation in Jeju was at the largest in April with 132.2 kWh/kWp, which was 2.3 times greater than the lowest 55.2 kWh/kWp in January. However, generation in Jinju was at the largest in March with 129.3 kWh/kWp, which was only 1.3 times greater than the lowest 101.1 kWh/kWp in June. Third, the annual average PR was the highest in Incheon with 85.8% and the lowest in Jeju with 83.2%. PR of Mokpo was 84.3%, which was lower than that of national average.