Evaluation of Power Surpluses and Shortfalls Due to Error in Forecasting of Photovoltaic Generation Output

被引:5
|
作者
Masuta, Taisuke [1 ]
Oozeki, Takashi [1 ]
Fonseca Junior, Joao Gari Da Silva [1 ]
Murata, Akinobu [1 ]
机构
[1] Natl Inst Adv Ind Sci & Technol, Tsukuba, Ibaraki, Japan
关键词
photovoltaic (PV) generation; economic-load dispatching control (EDC); unit commitment (UC); photovoltaic generation forecast;
D O I
10.1002/eej.22736
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The 2011 Tohoku earthquake had a great impact on Japanese energy policy. It is expected that nuclear power plants will be phased out and a large amount of generation from renewable energy sources will be installed. Attention is particularly focused on photovoltaic (PV) generation, technology in which Japan is superior, and a high price is set in the feed-in tariff policy, which started in 2012. However, large integration of PV into power grids may cause imbalances between power supply and demand. It will be indispensable to use PV power generation forecasts in economic-load dispatching control (EDC), so that the economics and reliability of power systems networks can be maintained. Thus, in the previous study, we proposed an EDC method with unit commitment (UC) based on the results provided by a day-ahead PV forecast. In this study, we evaluate the frequency and trend of shortfalls and surpluses of power due to error in forecasting PV power generation by numerical simulations using the power system model of the Kanto area in Japan. The results showed that shortfalls or surplus power occur not only due to overestimations or underestimations of PV power, but also due to the operating conditions of the power systems.
引用
收藏
页码:34 / 45
页数:12
相关论文
共 50 条
  • [21] Photovoltaic Power Generation Forecasting in Slovak Transmission System
    Beno, Jaroslav
    Kret, Miroslav
    Smidovic, Rastislav
    Bracinik, Peter
    PROCEEDINGS OF THE 9TH INTERNATIONAL SCIENTIFIC SYMPOSIUM ON ELECTRICAL POWER ENGINEERING (ELEKTROENERGETIKA 2017), 2017, : 155 - 158
  • [22] Forecasting system with sub-model selection strategy for photovoltaic power output forecasting
    Zhenkun Liu
    Ping Li
    Danxiang Wei
    Jianzhou Wang
    Lifang Zhang
    Xinsong Niu
    Earth Science Informatics, 2023, 16 : 287 - 313
  • [23] Forecasting system with sub-model selection strategy for photovoltaic power output forecasting
    Liu, Zhenkun
    Li, Ping
    Wei, Danxiang
    Wang, Jianzhou
    Zhang, Lifang
    Niu, Xinsong
    EARTH SCIENCE INFORMATICS, 2023, 16 (01) : 287 - 313
  • [24] Forecasting Electric Power Generation in a Photovoltaic Power System for an Energy Network
    Kudo, Mitsuru
    Takeuchi, Akira
    Nozaki, Yousuke
    Endo, Hisahito
    Sumita, Jiro
    ELECTRICAL ENGINEERING IN JAPAN, 2009, 167 (04) : 16 - 23
  • [25] Forecasting electric power generation in a photovoltaic power system for an energy network
    Kudo, Mitsuru
    Takeuchi, Akira
    Nozaki, Yousuke
    Endo, Hisahito
    Jiro, Sumita
    Electrical Engineering in Japan (English translation of Denki Gakkai Ronbunshi), 2009, 167 (04): : 16 - 23
  • [26] An Error Analysis Method by Extracting Error Time Transition Patterns in Photovoltaic Power Forecasting
    Ishikawa A.
    Higo T.
    IEEJ Transactions on Power and Energy, 2023, 143 (02) : 146 - 156
  • [27] A study on utilization of probabilistic forecasting of photovoltaic power generation output based on regulation reserve in unit commitment scheduling
    Azukisawa R.
    Imanaka M.
    Kurimoto M.
    Sugimoto S.
    Kato T.
    IEEJ Transactions on Power and Energy, 2019, 139 (11) : 667 - 677
  • [28] Performance of the Module Temperature Model in Forecasting the Power Output of Photovoltaic Systems
    Dawan, Promphak
    Worranetsuttikul, Kaweepoj
    Kittisontirak, Songkiate
    Sriprapha, Kobsak
    Titiroongruang, Wisut
    Niemcharoen, Surasak
    2018 6TH INTERNATIONAL ELECTRICAL ENGINEERING CONGRESS (IEECON), 2018,
  • [29] An ANN-based Approach for Forecasting the Power Output of Photovoltaic System
    Ding, Ming
    Wang, Lei
    Bi, Rui
    2011 2ND INTERNATIONAL CONFERENCE ON CHALLENGES IN ENVIRONMENTAL SCIENCE AND COMPUTER ENGINEERING (CESCE 2011), VOL 11, PT C, 2011, 11 : 1308 - 1315
  • [30] An ARMAX model for forecasting the power output of a grid connected photovoltaic system
    Li, Yanting
    Su, Yan
    Shu, Lianjie
    RENEWABLE ENERGY, 2014, 66 : 78 - 89