Dynamic Forecasting and Operation Mechanism of Reservoir Considering Multi-Time Scales

This paper proposes a feedback, rolling and adaptive operation decision-making mechanism for coupling and nesting of time scales. It is aimed at the change of time scale and the dynamics in the operation process, considering the relationship between operation period and multi-time scales. The key po...

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Main Authors: Chengyu Han, Zhen Guo, Xiaomei Sun, Yuquan Zhang
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/15/13/2472
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author Chengyu Han
Zhen Guo
Xiaomei Sun
Yuquan Zhang
author_facet Chengyu Han
Zhen Guo
Xiaomei Sun
Yuquan Zhang
author_sort Chengyu Han
collection DOAJ
description This paper proposes a feedback, rolling and adaptive operation decision-making mechanism for coupling and nesting of time scales. It is aimed at the change of time scale and the dynamics in the operation process, considering the relationship between operation period and multi-time scales. The key point is to integrate forecasting and operation in order to adapt to the multi-time scales dynamic change in the operation process. The operation process is divided into different time scales; forecasting and operation model method libraries are constructed, and the progressive updating and nesting mechanism are used to realize the process dynamic operation, according to the regulation period or operation period of the reservoir. Taking the Miyun Reservoir in Beijing, China as the research object, the operation mechanism is integrated into the operation process, and the complex forecasting operation and control mechanism are integrated, based on the integrated platform and using modern information technology. The forecasting and operation method uses classic different models, which can be selected based on different goals. The forecasting inflow is used as input, and the output is the water distribution plan, more importantly, the mechanism in the operation process is the key point. This is a rolling modification of the inflow process in the next stage, and the operation plan also changes accordingly. The feasibility, effectiveness, rationality and flexibility of the reservoir dynamic and adaptive operation are verified, so that the reservoir operation is dynamically changing and adapting to the changing demand. The proposed operation mechanism has scientific value and guiding significance to improve the reservoir operation theory, and it provides decision support for the actual reservoir operation and operation business.
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spelling doaj.art-59838dd9752f4366a3afa05e94689f082023-11-18T17:48:46ZengMDPI AGWater2073-44412023-07-011513247210.3390/w15132472Dynamic Forecasting and Operation Mechanism of Reservoir Considering Multi-Time ScalesChengyu Han0Zhen Guo1Xiaomei Sun2Yuquan Zhang3School of Human Settlements and Civil Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaSchool of Water Conservancy and Hydropower, Xi’an University of Technology, Xi’an 710048, ChinaSchool of Water Conservancy and Hydropower, Xi’an University of Technology, Xi’an 710048, ChinaState Grid Xi’an Electric Power Supply Company, Xi’an 710049, ChinaThis paper proposes a feedback, rolling and adaptive operation decision-making mechanism for coupling and nesting of time scales. It is aimed at the change of time scale and the dynamics in the operation process, considering the relationship between operation period and multi-time scales. The key point is to integrate forecasting and operation in order to adapt to the multi-time scales dynamic change in the operation process. The operation process is divided into different time scales; forecasting and operation model method libraries are constructed, and the progressive updating and nesting mechanism are used to realize the process dynamic operation, according to the regulation period or operation period of the reservoir. Taking the Miyun Reservoir in Beijing, China as the research object, the operation mechanism is integrated into the operation process, and the complex forecasting operation and control mechanism are integrated, based on the integrated platform and using modern information technology. The forecasting and operation method uses classic different models, which can be selected based on different goals. The forecasting inflow is used as input, and the output is the water distribution plan, more importantly, the mechanism in the operation process is the key point. This is a rolling modification of the inflow process in the next stage, and the operation plan also changes accordingly. The feasibility, effectiveness, rationality and flexibility of the reservoir dynamic and adaptive operation are verified, so that the reservoir operation is dynamically changing and adapting to the changing demand. The proposed operation mechanism has scientific value and guiding significance to improve the reservoir operation theory, and it provides decision support for the actual reservoir operation and operation business.https://www.mdpi.com/2073-4441/15/13/2472reservoir forecasting and operationdynamic processmulti-time scalesintegrated platform
spellingShingle Chengyu Han
Zhen Guo
Xiaomei Sun
Yuquan Zhang
Dynamic Forecasting and Operation Mechanism of Reservoir Considering Multi-Time Scales
Water
reservoir forecasting and operation
dynamic process
multi-time scales
integrated platform
title Dynamic Forecasting and Operation Mechanism of Reservoir Considering Multi-Time Scales
title_full Dynamic Forecasting and Operation Mechanism of Reservoir Considering Multi-Time Scales
title_fullStr Dynamic Forecasting and Operation Mechanism of Reservoir Considering Multi-Time Scales
title_full_unstemmed Dynamic Forecasting and Operation Mechanism of Reservoir Considering Multi-Time Scales
title_short Dynamic Forecasting and Operation Mechanism of Reservoir Considering Multi-Time Scales
title_sort dynamic forecasting and operation mechanism of reservoir considering multi time scales
topic reservoir forecasting and operation
dynamic process
multi-time scales
integrated platform
url https://www.mdpi.com/2073-4441/15/13/2472
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AT xiaomeisun dynamicforecastingandoperationmechanismofreservoirconsideringmultitimescales
AT yuquanzhang dynamicforecastingandoperationmechanismofreservoirconsideringmultitimescales