Parameter identification and uncertainty quantification of a non‐linear pump‐turbine governing system based on the differential evolution adaptive Metropolis algorithm-Reference-Cited by-同舟云学术

Parameter identification and uncertainty quantification of a non‐linear pump‐turbine governing system based on the differential evolution adaptive Metropolis algorithm

Published:2021-01-12 Issue:2 Volume:15 Page:342-353
ISSN:1752-1416
Container-title:IET Renewable Power Generation
language:en
Short-container-title:IET Renewable Power Generation

Author:

Zhang Chu¹²,Peng Tian¹,Zhou Jianzhong²,Nazir Muhammad Shahzad¹

Affiliation:

1. College of Automation Huaiyin Institute of Technology Huaian China

2. School of Hydropower and Information Engineering Huazhong University of Science and Technology Wuhan China

Publisher

Institution of Engineering and Technology (IET)

Subject

Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/rpg2.12027

Reference34 articles.

1. A multi-objective optimization strategy for the optimal control scheme of pumped hydropower systems under successive load rejections

2. Hierarchical MPC scheme for the speed governing of PSU with complex conduit system

3. Characteristics Analysis and Fuzzy Fractional-Order PID Parameter Optimization for Primary Frequency Modulation of a Pumped Storage Unit Based on a Multi-Objective Gravitational Search Algorithm

4. Dynamic characteristics of a hydro‐turbine governing system considering draft tube pressure pulsation

5. Adaptive condition predictive-fuzzy PID optimal control of start-up process for pumped storage unit at low head area

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