A Nonlinear Hybrid Modeling Method for Pump Turbines by Integrating Delaunay Triangulation Interpolation and an Improved BP Neural Network

Author:

Yang Qiuling1,Zhang Yangning1,Zhang Yingchen1,Deng Changhong1

Affiliation:

1. School of Electrical and Automation, Wuhan University, Wuhan 430072, China

Abstract

In order to solve the problem that the data processing accuracy of the characteristic curves is not high, which affects the accuracy of the simulation of variable-speed pumped storage units, this paper proposes a nonlinear hybrid modeling method for pump turbines by integrating Delaunay triangulation interpolation and an improved back-propagation neural network. Firstly, the improved Sutter transform is used to preprocess the original curve, and the convex hull of the transformed curve is calculated. With the unknown point inside the convex hull, Delaunay triangulation interpolation is used to model the transformed curve. With the unknown point outside the convex hull, the back-propagation neural network is first established based on the input and output, and then the initial weights and thresholds of the network are determined using the mind evolution algorithm to complete the modeling and simulation of the curve. Simulation results show that the proposed method fully integrates the high-precision features of interpolation and the powerful nonlinear fitting ability of the neural network, which greatly improves the efficiency and accuracy of pump turbine modeling.

Funder

Key Technology Project of China Southern Power Grid Co., Ltd.

Professor Changhong Deng from Wuhan University

Publisher

MDPI AG

Reference29 articles.

1. (2024, January 18). 2023 Statistical Review of World Energy[EB/OL]//Energy Institute. Available online: https://www.energyinst.org/statistical-review.

2. (2024, January 18). European Electricity Review 2022[EB/OL]//Ember. Available online: https://ember-climate.org/insights/research/european-electricity-review-2022/#supporting-material.

3. Low-head pumped hydro storage: A review of applicable technologies for design, grid integration, control and modelling;Hoffstaedt;Renew. Sustain. Energy Rev.,2022

4. Flexibility of variable-speed pumped-storage unit during primary frequency control and corresponding assessment method;Xu;Int. J. Electr. Power Energy Syst.,2023

5. Optimal Joint Energy and Secondary Regulation Reserve Hourly Scheduling of Variable Speed Pumped Storage Hydropower Plants;Chazarra;IEEE Trans. Power Syst.,2018

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