Fractional Order PID Optimal Control Method of Regional Load Frequency Containing Pumped Storage Plants

Author:

Gong Xundong1,Yang Kejun2,Dong Xiaofeng1,Jiang Xuelei1,Liu Dewen3,Luo Zhao3ORCID

Affiliation:

1. State Grid Suzhou Power Supply Company, Suzhou 215004, China

2. Anhui Nari Jiyuan Power Grid Technology Corporation, Hefei 230088, China

3. Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China

Abstract

The pumped storage unit has good adjustment characteristics of a fast power response and convenient start and stop, which provides support for the safe and stable operation of the power system. To this end, this paper proposes a fractional order PID (FOPID) optimization control method for the regional load frequency of pumped-storage power plants. Specifically, based on IEEE standards, this paper established a single-region model of pumped storage. Then, a fractional order PID (FOPID) controller was designed, and the parameters of the controller were optimized via using the chaos particle swarm optimization (CPSO) algorithm. The effectiveness of the proposed method is verified by example simulation in the two-zone model of the pumped storage based on IEEE standards. The results of the example show that the proposed method exhibits stronger robustness and stability in the regional load frequency control.

Funder

Natural Science Foundation of Jiangsu Province

Applied Basic Research Foundation of Yunnan Province

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

Reference34 articles.

1. Development and Recommendation of Fast Frequency Response Market for Power System with High Proportion of Renewable Energy;Chen;Autom. Electr. Power Syst.,2021

2. Frequency Control Mode and Performance Assessment in UHV Grid with High Proportion of Renewable Energy Resources;Chang;Power Syst. Technol.,2019

3. Analysis and Reflection on High-quality Development of New Energy with Chinese Characteristics in Energy Transition;Chen;Proc. Chin. Soc. Electr. Eng.,2020

4. PID Controller Based on a Self-Adaptive Neural Network to Ensure QoS Bandwidth Requirements in Passive Optical Networks;Merayo;J. Opt. Commun. Netw.,2017

5. Review and prospect of frequency stability analysis and control of low-inertia power systems;Wen;Electr. Power Autom. Equip.,2020

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