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4. Study on development of EV charging services coupled with power system conditions using IoT technology

Author

Imanaka Masaki, Baba Hiroyuki, Ogimoto Kazuhiko, and Matsumura Jun

Subjects
Environmental sciences, GE1-350
Abstract

Deployment of electric vehicles (EVs) has been accelerated in many countries. However, for further deployment of EVs and their contribution to electrical power systems, various new services need to be implemented related to EVs and their charging, called “Place of Use” (PoU) services. The combined menu of the charging services has been proposed which bundles EV charging fees with home electricity bills. Settlement will be needed for such combined menu. This paper proposes the combined menu of EV charging with settlement of electricity. Technical feasibility of the settlement has been tested by EV charging testbed with the IoT-HUB technology. IoT-HUB is the virtual infrastructure which interconnects various connected devices and application by using “drivers” for each device. This paper also proposes a forecast method of EV charging demand for the settlement after the charging starts. The proposed method has reduced the forecast error of total charged energy compared to the simple method, but some of the forecast error has remained because of the variability of the charging time at the final step of state of charge.

Published
2023
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5. Cross-Correlation of Photovoltaic Output Fluctuation in Power System Operation for Large-Scale Photovoltaic Integration

Author

Ikeda, Yuichi and Ogimoto, Kazuhiko

Subjects
Computer Science - Systems and Control
Abstract

We analyzed the cross-correlation of Photovoltaic (PV) output fluctuation for the actual PV output time series data in both the Tokyo area and the whole of Japan using the principal component analysis with the random matrix theory. Based on the obtained cross-correlation coefficients, the forecast error for PV output was estimated with/without considering the cross-correlations. Then operation schedule of thermal plants is calculated to integrate PV output using our unit commitment model with the estimated forecast error. The cost for grid integration of PV system was also estimated. Finally, validity of the concept of "local production for local consumption of renewable energy" and alternative policy implications were also discussed., Comment: The 3rd Solar Integration Workshop in London on October 21-22, 2013

Published
2013

6. A Unit Commitment Model with Demand Response for the Integration of Renewable Energies

Author

Ikeda, Yuichi, Ikegami, Takashi, Kataoka, Kazuto, and Ogimoto, Kazuhiko

Subjects
Computer Science - Systems and Control
Abstract

The output of renewable energy fluctuates significantly depending on weather conditions. We develop a unit commitment model to analyze requirements of the forecast output and its error for renewable energies. Our model obtains the time series for the operational state of thermal power plants that would maximize the profits of an electric power utility by taking into account both the forecast of output its error for renewable energies and the demand response of consumers. We consider a power system consisting of thermal power plants, photovoltaic systems (PV), and wind farms and analyze the effect of the forecast error on the operation cost and reserves. We confirm that the operation cost was increases with the forecast error. The effect of a sudden decrease in wind power is also analyzed. More thermal power plants need to be operated to generate power to absorb this sudden decrease in wind power. The increase in the number of operating thermal power plants within a short period does not affect the total operation cost significantly; however the substitution of thermal power plants by wind farms or PV systems is not expected to be very high. Finally, the effects of the demand response in the case of a sudden decrease in wind power are analyzed. We confirm that the number of operating thermal power plants is reduced by the demand response. A power utility has to continue thermal power plants for ensuring supply-demand balance; some of these plants can be decommissioned after installing a large number of wind farms or PV systems, if the demand response is applied using an appropriate price structure., Comment: submitted to 2012 IEEE Power & Energy Society General Meeting

Published
2011
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9. Photovoltaics at multi-terawatt scale: Waiting is not an option

Author

Haegel, Nancy M., primary, Verlinden, Pierre, additional, Victoria, Marta, additional, Altermatt, Pietro, additional, Atwater, Harry, additional, Barnes, Teresa, additional, Breyer, Christian, additional, Case, Chris, additional, De Wolf, Stefaan, additional, Deline, Chris, additional, Dharmrin, Marwan, additional, Dimmler, Bernhard, additional, Gloeckler, Markus, additional, Goldschmidt, Jan Christoph, additional, Hallam, Brett, additional, Haussener, Sophia, additional, Holder, Burkhard, additional, Jaeger, Ulrich, additional, Jaeger-Waldau, Arnulf, additional, Kaizuka, Izumi, additional, Kikusato, Hiroshi, additional, Kroposki, Benjamin, additional, Kurtz, Sarah, additional, Matsubara, Koji, additional, Nowak, Stefan, additional, Ogimoto, Kazuhiko, additional, Peter, Christian, additional, Peters, Ian Marius, additional, Philipps, Simon, additional, Powalla, Michael, additional, Rau, Uwe, additional, Reindl, Thomas, additional, Roumpani, Maria, additional, Sakurai, Keiichiro, additional, Schorn, Christian, additional, Schossig, Peter, additional, Schlatmann, Rutger, additional, Sinton, Ron, additional, Slaoui, Abdelilah, additional, Smith, Brittany L., additional, Schneidewind, Peter, additional, Stanbery, BJ, additional, Topic, Marko, additional, Tumas, William, additional, Vasi, Juzer, additional, Vetter, Matthias, additional, Weber, Eicke, additional, Weeber, A. W., additional, Weidlich, Anke, additional, Weiss, Dirk, additional, and Bett, Andreas W., additional

Published
2023
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10. Photovoltaics at multi-terawatt scale: Waiting is not an option / 25% annual PV growth is possible over the next decade

Author

Haegel, Nancy M. (author), Verlinden, Pierre (author), Victoria, Marta (author), Altermatt, Pietro (author), Atwater, Harry A. (author), Matsubara, Koji (author), Ogimoto, Kazuhiko (author), Schneidewind, Peter (author), Weeber, A.W. (author), Haegel, Nancy M. (author), Verlinden, Pierre (author), Victoria, Marta (author), Altermatt, Pietro (author), Atwater, Harry A. (author), Matsubara, Koji (author), Ogimoto, Kazuhiko (author), Schneidewind, Peter (author), and Weeber, A.W. (author)

Abstract

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public., Photovoltaic Materials and Devices

Published
2023
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11. Photovoltaics at multi-terawatt scale: Waiting is not an option:25% annual PV growth is possible over the next decade

Author

Haegel, Nancy M., Verlinden, Pierre, Victoria, Marta, Altermatt, Pietro, Atwater, Harry, Barnes, Teresa, Breyer, Christian, Case, Chris, De Wolf, Stefaan, Deline, Chris, Dharmrin, Marwan, Dimmler, Bernhard, Gloeckler, Markus, Goldschmidt, Jan Christoph, Hallam, Brett, Haussener, Sophia, Holder, Burkhard, Jaeger, Ulrich, Jaeger-Waldau, Arnulf, Kaizuka, Izumi, Kikusato, Hiroshi, Kroposki, Benjamin, Kurtz, Sarah, Matsubara, Koji, Nowak, Stefan, Ogimoto, Kazuhiko, Peter, Christian, Peters, Ian Marius, Philipps, Simon, Powalla, Michael, Rau, Uwe, Reindl, Thomas, Roumpani, Maria, Sakurai, Keiichiro, Schorn, Christian, Schossig, Peter, Schlatmann, Rutger, Sinton, Ron, Slaoui, Abdelilah, L. Smith, Brittany, Schneidewind, Peter, Stanbery, B. J ., Topic, Marko, Tumas, William, Vasi, Juzer, Vetter, Matthias, Weber, Eicke, Weeber, A. W., Weidlich, Anke, Weiss, Dirk, and W. Bett, Andreas

Published
2023

12. Photovoltaics at Multi-Terawatt Scale: Waiting is not an Option

Author

Haegel, Nancy M., Verlinden, Pierre, Victoria, Marta, Altermatt, Pietro, Atwater, Harry, Barnes, Teresa, Breyer, Christian, Case, Chris, Wolf, Stefaan de, Deline, Chris, Dharmrin, Marwan, Dimmler, Bernhard, Gloeckler, Markus, Goldschmidt, Jan Christoph, Hallam, Bret, Haussener, Sophia, Holder, Burkhard, Jaeger, Ulrich, Jaeger-Waldau, Arnulf, Kaizuka, Izumi, Kikusator, Hiroshi, Kroposki, Benjamin, Kurtz, Sarah, Matsubara, Koji, Nowak, Stefan, Ogimoto, Kazuhiko, Peter, Christian, Peters, I. Marius, Philipps, Simon, Powalla, Michael, Rau, Uwe, Reindl, Thomas, Roumpani, Maria, Sakurai, Keiichiro, Schorn, Christian, Schlatmann, Rutger, Schossig, Peter, Sinton, Ron, Slaoui, Abdelilah, Smith, Brittany L., Schneidewind, Peter, Stanbery, Billy, Topic, Marko, Tumas, William, Vasi, Juzer, Vetter, Matthias, Weber, Eicke, Weeber, Arthur, Weidlich, Anke, Weiss, Dirk, Bett, Andreas W., and Publica

Subjects
Photovoltaics, Growth, terawatt scale PV
Published
2023

22. Impact of V2G Ancillary Services on the Spread of Variable Renewable Energy: Evaluation Using Electric Power System Simulation in Japan

Author

Kataoka, Ryosuke, Yamada, Hiroyuki, Ogimoto, Kazuhiko, Iwafune, Yumiko, and Kojima, Yoshiko

Subjects
cost, V2G (vehicle-to-grid), renewable, electric vehicle (EV), environment
Abstract

One barrier to the wider use of variable renewable energy (VRE) is the need for power system stabilization and reliability. In addition to smart charging or shift of energy charge/discharge, the use of electric vehicle (EV) batteries for ancillary services, known as Vehicle-to-Grid (V2G), is expected to solve this problem with its ubiquity and flexibility. Quantitative evaluations of the respective value in each country and region are necessary to encourage the spread of V2G. We modeled the effect of V2G on the integration of VRE, assuming a Japanese power system. Our results show that providing the capacity of load frequency control (LFC) by V2G can contribute to enhance economy, stability and reliability of the power system operation to realize a sustainable society

Published
2020
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27. Integration of Renewable Energy into Present and Future Energy Systems

Author

Sims, Ralph, primary, Mercado, Pedro, additional, Krewitt, Wolfram, additional, Bhuyan, Gouri, additional, Flynn, Damian, additional, Holttinen, Hannele, additional, Jannuzzi, Gilberto, additional, Khennas, Smail, additional, Liu, Yongqian, additional, Nilsson, Lars J., additional, Ogden, Joan, additional, Ogimoto, Kazuhiko, additional, O'Malley, Mark, additional, Outhred, Hugh, additional, Ulleberg, Øystein, additional, van Hulle, Frans, additional, Bazilian, Morgan, additional, Beerepoot, Milou, additional, Demayo, Trevor, additional, Denny, Eleanor, additional, Infield, David, additional, Keane, Andrew, additional, Lee, Arthur, additional, Milligan, Michael, additional, Mills, Andrew, additional, Power, Michael, additional, Smith, Paul, additional, Söder, Lennart, additional, Tuohy, Aidan, additional, Ueckerdt, Falko, additional, Zhang, Jingjing, additional, Skea, Jim, additional, and Strunz, Kai, additional

Published
2011
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35. On the Use of Maximum Likelihood and Input Data Similarity to Obtain Prediction Intervals for Forecasts of Photovoltaic Power Generation

Author

Ogimoto Kazuhiko, Joao Gari da Silva Fonseca Junior, Takashi Oozeki, Hideaki Ohtake, and Takumi Takashima

Subjects
Gaussian, Photovoltaic system, Prediction interval, Laplace distribution, Power (physics), Support vector machine, symbols.namesake, Similarity (network science), Statistics, symbols, Electrical and Electronic Engineering, Laplace operator, Physics::Atmospheric and Oceanic Physics, Mathematics
Abstract

The objective of this study is to propose a method to calculate prediction intervals for oneday-ahead hourly forecasts of photovoltaic power generation and to evaluate its performance. One year of data of two systems, representing contrasting examples of forecast’ accuracy, were used. The method is based on the maximum likelihood estimation, the similarity between the input data of future and past forecasts of photovoltaic power, and on an assumption about the distribution of the error of the forecasts. Two assumptions for the forecast error distribution were evaluated, a Laplacian and a Gaussian distribution assumption. The results show that the proposed method models well the photovoltaic power forecast error when the Laplacian distribution is used. For both systems and intervals calculated with 4 confidence levels, the intervals contained the true photovoltaic power generation in the amount near to the expected one.

Published
2015

36. Regional Photovoltaic Power Fluctuations within Time Frames of Frequency Regulation Controls : A Study with High Resolution Data

Author

Fonseca, Joao Gari da Silva Junior, Nishitsuji, Yuki, Udagawa, Yusuke, Urabe, Chiyori T., Saito, Tetsuo, Uno, Fumichika, Ohtake, Hideaki, Oozeki, Takashi, Ogimoto, Kazuhiko, Fonseca, Joao Gari da Silva Junior, Nishitsuji, Yuki, Udagawa, Yusuke, Urabe, Chiyori T., Saito, Tetsuo, Uno, Fumichika, Ohtake, Hideaki, Oozeki, Takashi, and Ogimoto, Kazuhiko

Published
2018

37. Flexible Resources for Flexible Transmission System Operation

Author

Bründlinger, Roland, Iaria, Adriano, Kraiczy, Markus, Fritz, Rafael, Ernst, Bernhard, Jost, Dominik, Tselepis, Stathis, Brasca, Claudio, Cirio, Diego, Gatti, Antonio, Rapizza, Marco, Ogimoto, Kazuhiko, Obayashi, Ken, Asano, Koichi, Bucher, Christof, Mather, Barry, Gevorgian, Vahan, Verpoorten, Koen, and Vos, Kristof De

Published
2017
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38. Enhancements in Day-Ahead Forecasts of Solar Irradiation with Machine Learning: A Novel Analysis with the Japanese Mesoscale Model.

Author

Gari da Silva Fonseca, Joao, Uno, Fumichika, Ohtake, Hideaki, Oozeki, Takashi, and Ogimoto, Kazuhiko

Subjects
FORECASTING, MACHINE learning, LOAD forecasting (Electric power systems), IRRADIATION
Abstract

The objective of this study is to propose and evaluate a set of modifications to enhance a machine-learning-based method for forecasting day-ahead solar irradiation. To assess the proposed modifications, they were implemented in an initial forecast method, and their effectiveness was analyzed using two years of data on a national scale in Japan. In addition, the accuracy of the modified method was compared with one of the forecast methods for solar irradiation used by the Japan Meteorological Agency (JMA), namely, the mesoscale model (MSM). Such forecasts were made publicly available only recently, which makes this study one of the first ones to compare them with machine-learning-based forecasts. The annual root-mean-square error (RMSE) of local forecasts of the JMA-MSM varied from 0.1 to 0.14 kW h m−2; the regional equivalent varied from 0.062 to 0.091 kW h m−2. In comparison with these results, the modified model achieved an average RMSE reduction of 7.5% on the local scale and 16% on the regional scale. The modified model also had a skill score that was 23% higher than that of the JMA model. Furthermore, the performance of the JMA model had strong spatial and seasonal dependencies, which were reduced in the machine-learning-based forecasts. The results show that the proposed modifications are effective in reducing large forecasts errors, but they cannot compensate for situations in which the input data used to make the forecasts are highly inaccurate. [ABSTRACT FROM AUTHOR]

Published
2020
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44. Analysis of Different Techniques to Set Support Vector Regression to Forecast Insolation in Tsukuba, Japan

Author

Oozeki Takashi, Joao Gari da Silva Fonseca, Shimose Ken'ichi, Takashima Takumi, Ogimoto Kazuhiko, and Ohtake Hideaki

Subjects
Support vector machine, Insolation, Root mean square, Set (abstract data type), Frequency analysis, symbols.namesake, Meteorology, law, Hyperparameter optimization, Gaussian function, symbols, Mathematics, law.invention
Abstract

The objective of this study is to analyze 3 approaches to objectively set the configuration parameters of a support vector regression algorithm to forecast insolation. The approaches were based on techniques such as multifold cross-validation, grid search, and frequency analysis. The ν support vector regression with a Gauss function as kernel function was used to forecast insolation. The configuration parameters set were the cost parameter, the gamma parameter in the kernel function, and the ν parameter. The analysis was done using weather related data of Tsukuba city in Japan, from January to December of 2009. The results show that variations of the forecast errors caused by using the different approaches were small, 4.5% in the worst case. Moreover, any of the proposed approaches yielded forecasts of insolation with annual root mean square errors lower than 0.12kWh/m2 and mean absolute errors lower than 0.07kWh/m2, what shows their applicability

Published
2013

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