• Title/Summary/Keyword: distributed photovoltaic system

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Power Balancing Control Method of A Residential Distributed Generation System using Photovoltaic Power Generation and Polymer Electrolyte Fuel Cells (PV와 PEFC를 병용한 가정용 분산 전원 시스템의 전력평준화 제어법)

  • Yoon, Young-Byun;Mun, Sang-Pil;Park, Han-Seok;Woo, Kyung-Il
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.65 no.4
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    • pp.335-339
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    • 2016
  • Output power in photovoltaic systems changes steeply with the change of the sun intensity. The change of output power has influence on the electric power quality of the system. This paper proposes a residential distributed generation system using photovoltaic power generation and polymer electrolyte fuel cells(hybrid systems). In order to level the output power which changes steeply the polymer electrolyte fuel cells are connected to the photovoltaic power generation system in parallel. Thus the generated power of all the system can be leveled. However, the steep generated power in the photovoltaic power generation system can not be leveled. Therefore, the electric double layer capacitor(EDLC) is connected in parallel with the hybrid systems. It is confirmed by the simulation that the proposed distributed generation system is available for a residential supply.

Study of Internet Web-Based Photovoltaic Inverter Remote Control System (인터넷 웹 기반 환경에서의 태양광용 인버터 원격제어시스템 개발에 관한 고찰)

  • Choi J. Y.;Cho K. S.;Choy I.;Yu G. J.;Jung Y. S.;Kim K. H.
    • Proceedings of the KIPE Conference
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    • 2001.12a
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    • pp.63-66
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    • 2001
  • This paper aims at developing remote control system to control and monitor distributed various devices such as photovoltaic Inverter system through internet. TCP/IP (Transmission Control Protocol/Internet Protocol) and photovoltaic inverter system operated in a row are adopted for network management protocol and applied device, respectively. For controlling and monitoring distributed devices in real-time, java-environment software is constructed. Also, HelloDevice, general-use interface controller between network device and applied device is proposed. Finally, serial communication such as RS-232C is used between controller and applied device.

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A Case Study on Malfunction of OCGR and Inaccuracy of Watt-hour Meter in Distributed Generation System (분산형 발전고객의 OCGR오동작 및 과부족 계량에 대한 사례연구)

  • Shin, Dong-Yeol;Park, Yong-Woo;Cha, Han-Ju
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.57 no.8
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    • pp.1349-1355
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    • 2008
  • The paper shows the analysis of operating conflict of OCGR trip events and metering errors in the photovoltaic generation, wind generation distributed generation customers with no defect of the distributed generation facilities, which are connected to 22.9kV distribution lines. To analyze problems with metering errors and OCGR fault event, a power quality analyzer and PSIM program were used to test the field and to simulate in Sun-Cheon photovoltaic generation and Seo-Cheon photovoltaic generation customers. With the trial distribution line, the result of analysis was verified to prove with the same situation of the actual field. This paper suggests short term and long term countermeasures of OCGR fault events, analysis of over and shortage of metering errors in distributed generation customers.

Development of Internet Web-Based Inverter Remote Control System (인터넷 웹 기반 환경에서의 인버터 원격제어시스템 개발)

  • Choi, J.Y.;Choy, I.;Yu, G.J.
    • Proceedings of the KIEE Conference
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    • 2002.04a
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    • pp.219-224
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    • 2002
  • This paper aims at developing remote control system to control and monitor distributed various devices such as UPS or photovoltaic inverter system through internet. TCP/IP(Transmission Control Protocol/Internet Protocol) and photovoltaic inverter system operated in a row are adopted for network management protocol and applied device, respectively. For controlling and monitoring distributed devices in real-time, java-environment software is constructed. Also, HelloDevice, general-use interface controller between network device and applied device is proposed. Finally, serial communication such as RS-232C is used between controller and applied device.

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Operation Analysis of a Communication-Based DC Micro-Grid Using a Hardware Simulator

  • Lee, Ji-Heon;Kim, Hyun-Jun;Han, Byung-Moon
    • Journal of Power Electronics
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    • v.13 no.2
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    • pp.313-321
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    • 2013
  • This paper describes the operation analysis results of a communication-based DC micro-grid using a hardware simulator developed in the lab. The developed hardware simulator is composed of distributed generation devices such as wind power, photovoltaic power and fuel cells, and energy storage devices such as super-capacitors and batteries. Whole system monitoring and control was implemented using a personal computer. The power management scheme was implemented in a main controller based on a TMS320F28335 chip. The main controller is connected with the local controller in each of the distributed generator and energy storage devices through the communication link based on a CAN or an IEC61850. The operation analysis results using the developed hardware simulator confirm the ability of the DC micro-grid to supply the electric power to end users.

Monitoring and Control System for Efficient Operating and Management of Photovoltaic Power Generation System (태양광발전시스템의 효율적 운용과 관리를 위한 모니터링 및 제어 시스템)

  • Bin, Jae-Gu;Kang, Feel-Soon;Kim, Cheul-U
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.3
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    • pp.532-539
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    • 2007
  • Photovoltaic power generation system is one of new renewable energy sources. Such distributed power generation system has important issues for the system management ad operating after its installation. To solve the problem, remote monitoring and control systems can be employed. In this paper, LabVBEW based monitoring and control system is proposed for efficient management and operation of the photovoltaic power generation system. Interface method between monitoring part and DSP controller is given in detail. The proposed system is verified through experiments using a grid-connected photovoltaic power generation system.

Evaluation of a FPGA controlled distributed PV system under partial shading condition

  • Chao, Ru-Min;Ko, Shih-Hung;Chen, Po-Lung
    • Advances in Energy Research
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    • v.1 no.2
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    • pp.97-106
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    • 2013
  • This study designs and tests a photovoltaic system with distributed maximum power point tracking (DMPPT) methodology using a field programmable gate array (FPGA) controller. Each solar panel in the distributed PV system is equipped with a newly designed DC/DC converter and the panel's voltage output is regulated by a FPGA controller using PI control. Power from each solar panel on the system is optimized by another controller where the quadratic maximization MPPT algorithm is used to ensure the panel's output power is always maximized. Experiments are carried out at atmospheric insolation with partial shading conditions using 4 amorphous silicon thin film solar panels of 2 different grades fabricated by Chi-Mei Energy. It is found that distributed MPPT requires only 100ms to find the maximum power point of the system. Compared with the traditional centralized PV (CPV) system, the distributed PV (DPV) system harvests more than 4% of solar energy in atmospheric weather condition, and 22% in average under 19% partial shading of one solar panel in the system. Test results for a 1.84 kW rated system composed by 8 poly-Si PV panels using another DC/DC converter design also confirm that the proposed system can be easily implemented into a larger PV power system. Additionally, the use of NI sbRIO-9642 FPGA-based controller is capable of controlling over 16 sets of PV modules, and a number of controllers can cooperate via the network if needed.

Optimal Allocation of Distributed Solar Photovoltaic Generation in Electrical Distribution System under Uncertainties

  • Verma, Ashu;Tyagi, Arjun;Krishan, Ram
    • Journal of Electrical Engineering and Technology
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    • v.12 no.4
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    • pp.1386-1396
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    • 2017
  • In this paper, a new approach is proposed to select the optimal sitting and sizing of distributed solar photovoltaic generation (SPVG) in a radial electrical distribution systems (EDS) considering load/generation uncertainties. Here, distributed generations (DGs) allocation problem is modeled as optimization problem with network loss based objective function under various equality and inequality constrains in an uncertain environment. A boundary power flow is utilized to address the uncertainties in load/generation forecasts. This approach facilitates the consideration of random uncertainties in forecast having no statistical history. Uncertain solar irradiance is modeled by beta distribution function (BDF). The resulted optimization problem is solved by a new Dynamic Harmony Search Algorithm (DHSA). Dynamic band width (DBW) based DHSA is proposed to enhance the search space and dynamically adjust the exploitation near the optimal solution. Proposed approach is demonstrated for two standard IEEE radial distribution systems under different scenarios.

Power Prediction of P-Type Si Bifacial PV Module Using View Factor for the Application to Microgrid Network (View Factor를 고려한 마이크로그리드 적용용 고효율 P-Type Si 양면형 태양광 모듈의 출력량 예측)

  • Choi, Jin Ho;Kim, David Kwangsoon;Cha, Hae Lim;Kim, Gyu Gwang;Bhang, Byeong Gwan;Park, So Young;Ahn, Hyung Keun
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.31 no.3
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    • pp.182-187
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    • 2018
  • In this study, 20.8% of a p-type Si bifacial solar cell was used to develop a photovoltaic (PV) module to obtain the maximum power under a limited installation area. The transparent back sheet material was replaced during fabrication with a white one, which is opaque in commercial products. This is very beneficial for the generation of more electricity, owing to the additional power generation via absorption of light from the rear side. A new model is suggested herein to predict the power of the bifacial PV module by considering the backside reflections from the roof and/or environment. This model considers not only the frontside reflection, but also the nonuniformity of the backside light sources. Theoretical predictions were compared to experimental data to prove the validity of this model, the error range for which ranged from 0.32% to 8.49%. Especially, under $700W/m^2$, the error rate was as low as 2.25%. This work could provide theoretical and experimental bases for application to a distributed and microgrid network.

Calculation of Photovoltaic, ESS Optimal Capacity and Its Economic Effect Analysis by Considering University Building Power Consumption (대학건물의 전력소비패턴 분석을 통한 태양광, ESS 적정용량 산정 및 경제적 효과 분석)

  • Lee, Hye-Jin;Choi, Jeong-Won
    • Journal of the Korean Society of Industry Convergence
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    • v.21 no.5
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    • pp.207-217
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    • 2018
  • Recently, the importance of energy demand management, particularly peak load control, has been increasing due to the policy changes of the Second Energy Basic Plan. Even though the installation of distributed generation systems such as Photovoltaic and energy storage systems (ESS) are encouraged, high initial installation costs make it difficult to expand their supply. In this study, the power consumption of a university building was measured in real time and the measured power consumption data was used to calculate the optimal installation capacity of the Photovoltaic and ESS, respectively. In order to calculate the optimal capacity, it is necessary to analyze the operation methods of the Photovoltaic and ESS while considering the KEPCO electricity billing system, power consumption patterns of the building, installation costs of the Photovoltaic and ESS, estimated savings on electric charges, and life time. In this study, the power consumption of the university building with a daily power consumption of approximately 200kWh and a peak power of approximately 20kW was measured per minute. An economic analysis conducted using these measured data showed that the optimal capacity was approximately 30kW for Photovoltaic and approximately 7kWh for ESS.