リニア式波力発電装置の発電電力の短期予測と制約条件付き最適制御
This paper addresses the issue of a control subject to physical constraints, involving an energy maximization for wave energy converters with a linear generator. Previous approaches to this problem including model predictive control (MPC) have currently some challenges. The conventional control meth...
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| Published in | 日本船舶海洋工学会論文集 Vol. 32; pp. 91 - 98 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | Japanese |
| Published |
公益社団法人 日本船舶海洋工学会
2021
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| Online Access | Get full text |
| ISSN | 1880-3717 1881-1760 |
| DOI | 10.2534/jjasnaoe.32.91 |
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| Abstract | This paper addresses the issue of a control subject to physical constraints, involving an energy maximization for wave energy converters with a linear generator. Previous approaches to this problem including model predictive control (MPC) have currently some challenges. The conventional control methods, on the other hand, to be able to estimate the performance of wave energy converters are required in practice. In this study, casual constrained optimal control based on the short-term prediction method is proposed. A novel short-term prediction method of both satisfying with maximum output-power and limited heave amplitudes using the energy spectrum method is shown in this paper. Maximizing estimated output power subject to making the estimated amplitude smaller than motion limitation realizes maximizing output power under the heave-motion limitation. To confirm the accuracy of the short-term prediction method and the performance of the proposed control method, the output power is compared with the output power obtained from other control methods through the frequency and time domain simulations in irregular waves. The results show that the short-term prediction method is useful, and the proposed method can maximize output power under the heave-motion limitation. |
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| AbstractList | This paper addresses the issue of a control subject to physical constraints, involving an energy maximization for wave energy converters with a linear generator. Previous approaches to this problem including model predictive control (MPC) have currently some challenges. The conventional control methods, on the other hand, to be able to estimate the performance of wave energy converters are required in practice. In this study, casual constrained optimal control based on the short-term prediction method is proposed. A novel short-term prediction method of both satisfying with maximum output-power and limited heave amplitudes using the energy spectrum method is shown in this paper. Maximizing estimated output power subject to making the estimated amplitude smaller than motion limitation realizes maximizing output power under the heave-motion limitation. To confirm the accuracy of the short-term prediction method and the performance of the proposed control method, the output power is compared with the output power obtained from other control methods through the frequency and time domain simulations in irregular waves. The results show that the short-term prediction method is useful, and the proposed method can maximize output power under the heave-motion limitation. |
| Author | 梅田, 隼 谷口, 友基 藤原, 敏文 |
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| Copyright | 2021 社団法人 日本船舶海洋工学会 |
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| DOI | 10.2534/jjasnaoe.32.91 |
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| References | 15) Goda, Y.: Standard Spectrums and Statistical Properties of Sea waves Based on Numerical Simulations, Proceedings of the Japanese Conference on Coastal Engineering, Vol. 34, pp. 131-135, 1987 (in Japanese). 3) De La Villa Jaen, A., Santana, A. G., and Montoya Andrade, D. E.: Maximizing Output Power of Linear Generators for Wave Energy Conversion, International Transactions on Electrical Energy Systems, Vol. 24, No. 6, pp. 875-890, 2014. 10) Anderlini, E., Forehand, D. I., Bannon, E., and Abusara, M.: Constraints Implementation in the Application of Reinforcement Learning to the Reactive Control of a Point Absorber, Proceedings of the 36th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, OMAE2017-61294, 2017. 16) European Marine Energy Centre ltd.: Tank Testing of Wave Energy Conversion Systems, 2009. 2) Fusco, F., and Ringwood, J. V.: A Simple and Effective Real-Time Controller for Wave Energy Converters, IEEE Transactions on sustainable energy, Vol. 4, No.1, 21-30, 2013. 5) Hals, J., Falnes, J. and Moan, T.: Constrained Optimal Control of a Heaving Buoy Wave-Energy Converter, Journal of Offshore Mechanics and Arctic Engineering, Vol.133, No.1, 2011. 柏木正，岩下英嗣：船舶海洋工学シリーズ4 船体運動耐航性能編，成山堂書店，2012 4) Chen, Z., Zhou, B., Zhang, L., Sun, L., and Zhang, X.: Performance Evaluation of a Dual Resonance Wave-Energy Converter in Irregular Waves, Applied Ocean Research, Vol. 77, pp.78-88, 2018. 7) Tom, N.: Confirmation of a Nonlinear Model Predictive Control Strategy Applied to a Permanent Magnet Linear Generator for Wave-Energy Conversion, ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering, OMAE2014-24711, 2014. 12) Kashiwagi, T. and Iwashita, H.: Naval Architecture and Ocean Engineering Series 4 Seakeeping Performance, Seizando-Shoten Publishing Co., Ltd, 2012 (in Japanese). 牧野貴樹，澁谷長史ほか：これからの強化学習，森北出版，2016. 8) Umeda, J., Goto, H., Fujiwara, T., Taniguchi, T. and Inoue, S.: Study on Model Predictive Control for the Wave Energy Converter with a Linear Generator, Journal of the Japan Society of Naval Architects and Ocean Engineers, 2018, Vol. 28, pp. 27-36, 2018 (in Japanese). 6) Montoya Andrade, D.-E., De La Villa Jaen, A., and Santana, A.G.: Considering linear generator copper losses on model predictive control for a point absorber wave energy converter, Energy Convers Management, Vol. 78, pp. 173-83, 2014. 梅田隼，後藤博樹，藤原敏文，谷口友基，井上俊司：リニア式波力発電装置のモデル予測制御に関する研究，日本船舶海洋工学会論文集，第28号, pp. 27-36，2018. 1) Falnes, J.: Ocean Waves and Oscillating System, Cambridge University Press, Cambridge, 2002. 谷口友基，藤原敏文，井上俊司，大塚敏之: モデル予測制御による波力発電装置の高効率化, 日本船舶海洋工学会論文集，第29号, pp. 171-179，2019. 11) Makino, T., Sibuya., T., et.al: A Introduction of Latest Reinforcement Learning, Morikita Publishing Co., Ltd., 2016 (in Japanese). 13) Lee, C. H.： WAMIT Theory Manual., Report No. 95-2, Dept. of Ocean Engineering, Massachusetts Institute of Technology, 1995. 14) Lasdon, L. S., Fox, R. L., and Ratner, M. W.: Nonlinear Optimization Using the Generalized Reduced Gradient Method, RAIRO - Operations Research, Vol 8, V3, pp.73-103, 1974. 合田良実：数値シミュレーションによる波浪の標準スペクトルと統計的性質，海岸工学講演会論文集，第34 巻， pp.131-135, 1987. 9) Taniguchi, T., Fujiwara, T., Inoue, S. and Ohtsuka, T.: Power Production Efficiency Improvement of a Point Absorber Type Wave Energy Converter by Model Predictive Control, Journal of the Japan Society of Naval Architects and Ocean Engineers, Vol. 29, pp. 171-179, 2019 (in Japanese). |
| References_xml | – reference: 6) Montoya Andrade, D.-E., De La Villa Jaen, A., and Santana, A.G.: Considering linear generator copper losses on model predictive control for a point absorber wave energy converter, Energy Convers Management, Vol. 78, pp. 173-83, 2014. – reference: 14) Lasdon, L. S., Fox, R. L., and Ratner, M. W.: Nonlinear Optimization Using the Generalized Reduced Gradient Method, RAIRO - Operations Research, Vol 8, V3, pp.73-103, 1974. – reference: 15) Goda, Y.: Standard Spectrums and Statistical Properties of Sea waves Based on Numerical Simulations, Proceedings of the Japanese Conference on Coastal Engineering, Vol. 34, pp. 131-135, 1987 (in Japanese). – reference: 11) Makino, T., Sibuya., T., et.al: A Introduction of Latest Reinforcement Learning, Morikita Publishing Co., Ltd., 2016 (in Japanese). – reference: 9) Taniguchi, T., Fujiwara, T., Inoue, S. and Ohtsuka, T.: Power Production Efficiency Improvement of a Point Absorber Type Wave Energy Converter by Model Predictive Control, Journal of the Japan Society of Naval Architects and Ocean Engineers, Vol. 29, pp. 171-179, 2019 (in Japanese). – reference: 12) Kashiwagi, T. and Iwashita, H.: Naval Architecture and Ocean Engineering Series 4 Seakeeping Performance, Seizando-Shoten Publishing Co., Ltd, 2012 (in Japanese). – reference: 4) Chen, Z., Zhou, B., Zhang, L., Sun, L., and Zhang, X.: Performance Evaluation of a Dual Resonance Wave-Energy Converter in Irregular Waves, Applied Ocean Research, Vol. 77, pp.78-88, 2018. – reference: 3) De La Villa Jaen, A., Santana, A. G., and Montoya Andrade, D. E.: Maximizing Output Power of Linear Generators for Wave Energy Conversion, International Transactions on Electrical Energy Systems, Vol. 24, No. 6, pp. 875-890, 2014. – reference: 10) Anderlini, E., Forehand, D. I., Bannon, E., and Abusara, M.: Constraints Implementation in the Application of Reinforcement Learning to the Reactive Control of a Point Absorber, Proceedings of the 36th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, OMAE2017-61294, 2017. – reference: 谷口友基，藤原敏文，井上俊司，大塚敏之: モデル予測制御による波力発電装置の高効率化, 日本船舶海洋工学会論文集，第29号, pp. 171-179，2019. – reference: 合田良実：数値シミュレーションによる波浪の標準スペクトルと統計的性質，海岸工学講演会論文集，第34 巻， pp.131-135, 1987. – reference: 16) European Marine Energy Centre ltd.: Tank Testing of Wave Energy Conversion Systems, 2009. – reference: 2) Fusco, F., and Ringwood, J. V.: A Simple and Effective Real-Time Controller for Wave Energy Converters, IEEE Transactions on sustainable energy, Vol. 4, No.1, 21-30, 2013. – reference: 柏木正，岩下英嗣：船舶海洋工学シリーズ4 船体運動耐航性能編，成山堂書店，2012． – reference: 8) Umeda, J., Goto, H., Fujiwara, T., Taniguchi, T. and Inoue, S.: Study on Model Predictive Control for the Wave Energy Converter with a Linear Generator, Journal of the Japan Society of Naval Architects and Ocean Engineers, 2018, Vol. 28, pp. 27-36, 2018 (in Japanese). – reference: 牧野貴樹，澁谷長史ほか：これからの強化学習，森北出版，2016. – reference: 7) Tom, N.: Confirmation of a Nonlinear Model Predictive Control Strategy Applied to a Permanent Magnet Linear Generator for Wave-Energy Conversion, ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering, OMAE2014-24711, 2014. – reference: 1) Falnes, J.: Ocean Waves and Oscillating System, Cambridge University Press, Cambridge, 2002. – reference: 5) Hals, J., Falnes, J. and Moan, T.: Constrained Optimal Control of a Heaving Buoy Wave-Energy Converter, Journal of Offshore Mechanics and Arctic Engineering, Vol.133, No.1, 2011. – reference: 梅田隼，後藤博樹，藤原敏文，谷口友基，井上俊司：リニア式波力発電装置のモデル予測制御に関する研究，日本船舶海洋工学会論文集，第28号, pp. 27-36，2018. – reference: 13) Lee, C. H.： WAMIT Theory Manual., Report No. 95-2, Dept. of Ocean Engineering, Massachusetts Institute of Technology, 1995. |
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| Title | リニア式波力発電装置の発電電力の短期予測と制約条件付き最適制御 |
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