• 제목/요약/키워드: solar-power plants

검색결과 134건 처리시간 0.032초

소규모 재생발전사업자의 중개시장참여 촉진요인 분석 (Analysis of Factors Driving the Participation of Small Scale Renewable Power Providers in the Power Brokerage Market)

  • 이드미트리;배정환
    • 신재생에너지
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    • 제18권3호
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    • pp.32-42
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    • 2022
  • Rapid spread of intermittent renewable energy has amplified the instability and uncertainty of power systems. The Korea Power Exchange (KPX) promoted efficient management by opening the power brokerage market in 2019. By combining small-scale intermittent renewable energy with a flexible facility through the power brokerage market, the KPX aims to develop a virtual power plant system that will allow the conversion of existing intermittent renewable energy into collective power plants. However, the participation rate of renewable power owners in the power brokerage market is relatively low because other markets such as the small solar power contract market or the Korea Electric Power Corporation power purchase agreement are more profitable. In this study, we used a choice experiment to determine the attributes affecting the participation rate in the power brokerage market for 113 renewable power owners and estimate the value of the power brokerage market. According to the estimation results, a low smart meter installation cost, low profit variations, long contract periods, and few clearances increased the probability of participation. Moreover, the average value of the power brokerage market was estimated to be 2.63 million KRW per power owner.

라즈베리파이를 이용한 Modbus TCP 기반 태양광 발전소 모니터링 시스템 (Modbus TCP based Solar Power Plant Monitoring System using Raspberry Pi)

  • 박진환;김창복
    • 한국항행학회논문지
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    • 제24권6호
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    • pp.620-626
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    • 2020
  • 본 연구는 IOT 장비인 라즈베리파이를 마스터(master)로 이용하고 인버터를 슬레이브(slave)로 하여 모드버스 TCP 통신을 기반한 태양광 발전 모니터링 시스템을 제안하였다. 본 모델은 라즈베리파이에 다양한 센서를 추가하여 태양광 발전소의 모니터링에 필요한 정보를 추가하였으며, 실시간 발전량 예측을 통해 발전량 예측과 모니터링 정보를 스마트 폰으로 송신하였다. 또한, 서버에 태양광 발전소에서 지속해서 생성되는 정보를 빅데이터로 구축하였으며, 발전량 예측을 위한 딥러닝 모델을 학습하여 갱신하였다. 연구 결과로서 인버터에서 라즈베리파이로 모드버스 TCP 기반으로 안정적인 통신이 가능하였고, 라즈베리파이에서 학습된 딥러닝 모델로 실시간 예측이 가능하였다. 서버는 빅데이터로 다양한 딥러닝 모델 학습이 가능하였으며, LSTM이 학습 오차 0.0069, 테스트 오차 0.0075, RMSE 0.0866 등으로 가장 좋은 오차를 보임을 확인하였다. 본 모델은 다양한 제조사의 인버터에 대해서 보다 간단하고 편리하며 발전량을 예측할 수 있는 실시간 모니터링 시스템 구현이 가능함을 제시하였다.

드론을 이용한 태양광 발전소 고장 점검 (Detecting Fault of Solar Plant using Drone)

  • 김동균;박관남;조상윤;이영권;유권종;정문호;최익;최주엽
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2016년도 전력전자학술대회 논문집
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    • pp.471-472
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    • 2016
  • Since photovoltaic generating system is significantly important among renewable energy sources, photovoltaic plants are installed more than past. As a result, accidents of photovoltaic system are also increased, so the additional hardware which includes monitoring system and periodic inspection are required for safety. In addition, a photovoltaic system is installed where a person can't approach to detect a fault, so a number of devices are required to detect it. This paper proposes that drone and thermo-graphic camera are used for detecting a fault of photovoltaic plant and suggests efficiency to control a drone for detecting a photovoltaic plant.

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Preliminary Economic Analysis based on Optimization of Green Ammonia Plant Configuration in the Middle East for Import into Korea

  • Hyun-Chang Shin;Hak-Soo Mok;Woo-Hyun Son
    • 한국산업융합학회 논문집
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    • 제27권2_1호
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    • pp.277-285
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    • 2024
  • Hydrogen is considered a key energy source to achieve carbon neutrality through the global goal of 'net zero'. Due to limitations in producing green hydrogen domestically, Korean companies are interested in importing green hydrogen produced overseas. The Middle East has high-quality solar energy resources and is attracting attention as a region producing green hydrogen using renewable energy. To build a green ammonia plant, optimization of the production facility configuration and economic feasibility analysis are required. It is expected that it will contribute to reviewing the economic feasibility of constructing overseas hydrogen production plants through preliminary economic feasibility analysis.

국내 전력거래제도하에서 IGCC 사업성 확보를 위한 정책 제언 (A Study on the Feasibility of IGCC under the Korean Electricity Market)

  • 고경호
    • 한국수소및신에너지학회논문집
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    • 제22권1호
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    • pp.118-127
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    • 2011
  • An IGCC was evaluated as one of the next generation technologies that would be able to substitute for coal-fired power plants. According to "The 4th Basic Plan of Long-term Electricity Supply & Demand" which is developed by the Electricity Business Acts, the first IGCC will be operated at 2015. Like other new and renewable energy such as solar PV, Fuel cell, The IGCC is considered as non-competitive generation technology because it is not maturity technology. Before the commercial operation of an IGCC in our electricity market, its economic feasibility under the Korean electricity market, which is cost-based trading system, is studied to find out institutional support system. The results of feasibility summarized that under the current electricity trading system, if the IGCC is considered like a conventional plant such as nuclear or coal-fired power plants, it will not be expected that its investment will be recouped within life-time. The reason is that the availability of an IGCC will plummet since 2016 when several nuclear and coal-fired power plants will be constructed additionally. To ensure the reasonable return on investment (NPV>0 IRR>Discount rate), the availability of IGCC should be higher than 77%. To do so, the current electricity trading system is amended that the IGCC generator must be considered as renewable generators to set up Price Setting Schedule and it should be considered as pick load generators, not Genco's coal fired-generators, in the Settlement Payment.

Development of Energy Management System for Micro-Grid with Photovoltaic and Battery system

  • Asghar, Furqan;Talha, Muhammad;Kim, Sung-Ho
    • 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.

Analytical and sensitivity approaches for the sizing and placement of single DG in radial system

  • Bindumol, E.K.;Babu, C.A.
    • Advances in Energy Research
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    • 제4권2호
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    • pp.163-176
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    • 2016
  • Rapid depletion of fossil based oil, coal and gas reserves and its greater demand day by day necessitates the search for other alternatives. Severe environmental impacts caused by the fossil fire based power plants and the escalating fuel costs are the major challenges faced by the electricity supply industry. Integration of Distributed Generators (DG) especially, wind and solar systems to the grid has been steadily increasing due to the concern of clean environment. This paper focuses on a new simple and fast load flow algorithm named Backward Forward Sweep Algorithm (BFSA) for finding the voltage profile and power losses with the integration of various sizes of DG at different locations. Genetic Algorithm (GA) based BFSA is adopted in finding the optimal location and sizing of DG to attain an improved voltage profile and considerable reduced power loss. Simulation results show that the proposed algorithm is more efficient in finding the optimal location and sizing of DG in 15-bus radial distribution system (RDS).The authenticity of the placement of optimized DG is assured with other DG placement techniques.

A Study of Grid-Connected PV System with Power Control Structure

  • Vu, Trung-Kien;Bae, Youngsang;Oh, Seongjin
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2012년도 전력전자학술대회 논문집
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    • pp.329-330
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    • 2012
  • The rising popularity of renewable energy sources resulted in development of the units of higher rated powers, where the large-scale plants and grid-connected type solar power systems are increased. Therefore, the importance of grid stabilization, which depends on each country or system-type, has been strengthened by different grid-codes or certifications. In this paper, the control scheme of three-phase photovoltaic system is enhanced, where both injected active and reactive powers are simultaneously controlled with the consideration of the certification of the Germany Association of Energy and Water Industries (BDEW). Experimental results are shown to verify the theoretical analysis.

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식물-미생물전기화학 기반의 미활용 에너지 회수 기초 연구 (Basic Study for Harvesting Unused Energy based on Plant-Microbial Electrochemical Technology)

  • 유재철;신춘환
    • 한국환경과학회지
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    • 제28권2호
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    • pp.219-224
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    • 2019
  • In this study, we evaluated the energy production from plant-microbial fuel cells using representative indoor plants, such as Scindapsus aureus and Clatha minor. The maximum power density of microbial fuel cell (MFC) using S. aureus ($3.36mW/m^2$) was about 2 times higher than that of the MFC using C. minor ($1.43mW/m^2$). It was confirmed that energy recovery is possible using plant-MFCs without fuel. However, further research is needed to improve the performance of plant-MFCs. Nevertheless, plant-MFCs have proved their potential as a novel energy source to overcome the limitations of the conventional renewable energy sources such as wind power and solar cells, and could be employed to a power source for the sensor in charge of the fourth industrial revolution.

임계열유속 향상을 위한 나노물질의 산화처리에 대한 연구 (Study on the Oxidation Treatment of Nanoparticles for the Critical Heat Flux)

  • 김우중;전용한;김남진
    • 한국태양에너지학회 논문집
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    • 제37권6호
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    • pp.39-49
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    • 2017
  • Pool boiling, one of the key thermal-hydraulics phenomena, has been widely studied for improving heat transfer efficiencies and safety of nuclear power plants, refrigerating systems, solar-collector heat pipes, and other facilities and equipments. In the present study, the critical heat flux (CHF) and heat-transfer coefficients were tested under the pool-boiling state using graphene M-5 and M-15 nanofluids as well as oxidized graphene M-5 nanofluid. The results showed that the highest CHF increase for both graphene M-5 and M-15 was at the 0.01% volume fraction and, moreover, that the CHF-increase ratio for small-diameter graphene M-5 was higher than that for large-diameter graphene M-15. Also at the 0.01% volume fraction, the oxidized graphene M-5 nanofluid showed a 41.82%-higher CHF-increase ratio and a 26.7%-higher heat-transfer coefficient relative to the same nanofluid without oxidation treatment at the excess temperature where the CHF of distilled water occurs.