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Journal ArticleDOI

Precise equivalent model of small hydro generator cluster and its parameter identification using improved Grey Wolf optimiser

Jianzhong Zhou, +3 more
- 09 Jun 2016 - 
- Vol. 10, Iss: 9, pp 2108-2117
TLDR
In this paper, a precise equivalent model of small hydro generator cluster (SHGC) is proposed, where the fifth-order model of generator is adopted as the equivalent generator model, the excitation system is simplified into proportional feedback control model and exponential load model is used as equivalent load model.
Abstract
With the total installed capacity of small hydro generator cluster (SHGC) continues to grow rapidly, the effect of SHGC will have affected to the security and stability of the main network in China, especially to power oscillations of passageway of ultra-high-voltage AC and DC. Thus, a precise equivalent model of SHGC is proposed in this study. In the proposed model, the fifth-order model of generator is adopted as the equivalent generator model, the excitation system is simplified into proportional feedback control model and exponential load model is used as equivalent load model. In addition, Grey Wolf optimiser with chaotic local search is designed to identify the parameters of the equivalent model. Finally, the proposed equivalent technique is applied in one simulation experiment and one practical experiment. The experimental results demonstrate that the validity and accuracy of the proposed equivalent model and identification method in solving dynamic equivalent of SHGC in engineering practice.

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Citations
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Journal ArticleDOI

Grey wolf optimizer: a review of recent variants and applications

TL;DR: In this review paper, several research publications using GWO have been overviewed and summarized and the main foundation of GWO is provided, which suggests several possible future directions that can be further investigated.
Journal ArticleDOI

Multi-strategy ensemble grey wolf optimizer and its application to feature selection

TL;DR: The experimental results show that the proposed MEGWO, which integrate multiple improved search strategies, outperforms other variants of GWO and other algorithms in terms of accuracy and convergence speed.
Journal ArticleDOI

Two-stage improved Grey Wolf optimization algorithm for feature selection on high-dimensional classification

TL;DR: The experimental results show that the proposed improved gray wolf optimization (IGWO) algorithm not only removes almost more than 95.7% of the features in all datasets, but also has better classification accuracy on the test set and is particularly suitable for solving high-dimensional feature selection problems.
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A two-stage numerical simulation framework for pumped-storage energy system

TL;DR: The results demonstrate that the proposed simulation framework can improve the overall modeling precision in characterizing transient behaviors of rotation speed and hydraulic pressures significantly compared with the traditional nonlinear modeling method for the pumped-storage plant.
Journal ArticleDOI

Optimization of geometry quality model for wire and arc additive manufacture based on adaptive multi-objective grey wolf algorithm

TL;DR: Experiments show that the Pareto set obtained by the adaptive multi-objective grey wolf algorithm is more diverse and convergent than the other five well-known algorithms.
References
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Journal ArticleDOI

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Journal ArticleDOI

Inertial and slow coherency aggregation algorithms for power system dynamic model reduction

TL;DR: New aggregation algorithms for obtaining reduced order power networks when coherent generators are aggregated will decrease the stiffening effect and produce, for the same coherent machine groups, aggregate networks with improved inter-area mode approximations.
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