### 抜粋

This paper addresses photovoltaics (PV) power prediction and energy storage problem which are known to be a key technology in energy management systems (EMS). Extending results of the point prediction of PV power, we first describe a prediction interval (PI) method using a copula, which can express the relation between a multivariable joint distribution and each marginal distribution. Then, resorting to the PI method, the energy storage optimization problem in a building is developed. A scenario robust (SR) optimization theorem, which calculates the robustness of the optimal solution, is applied to the proposed PI method, and hence we obtain an optimal energy storage solution taking the robustness of the solution into account. Additionally, we propose a method which combines a model predictive control (MPC) technique and SR to reduce the total electricity costs. The simulation results finally illustrate the cost reduction and robustness of the proposed method.

元の言語 | English |
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ホスト出版物のタイトル | Proceedings of the 37th Chinese Control Conference, CCC 2018 |

編集者 | Xin Chen, Qianchuan Zhao |

出版者 | IEEE Computer Society |

ページ | 2304-2309 |

ページ数 | 6 |

巻 | 2018-July |

ISBN（電子版） | 9789881563941 |

DOI | |

出版物ステータス | Published - 2018 10 5 |

イベント | 37th Chinese Control Conference, CCC 2018 - Wuhan, China 継続期間: 2018 7 25 → 2018 7 27 |

### Other

Other | 37th Chinese Control Conference, CCC 2018 |
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国 | China |

市 | Wuhan |

期間 | 18/7/25 → 18/7/27 |

### ASJC Scopus subject areas

- Computer Science Applications
- Control and Systems Engineering
- Applied Mathematics
- Modelling and Simulation

## フィンガープリント Scenario-Based Robust MPC for Energy Management Systems with Renewable Generators' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

## これを引用

*Proceedings of the 37th Chinese Control Conference, CCC 2018*(巻 2018-July, pp. 2304-2309). [8483209] IEEE Computer Society. https://doi.org/10.23919/ChiCC.2018.8483209