Volume 27, Issue 7 e2334
RESEARCH ARTICLE

Multiobjective-based optimal allocation scheme for load frequency control

Chunyu Chen

Chunyu Chen

Key Laboratory of Measurement and Control of Complex Systems of Engineering, School of Automation, Southeast University, No. 2, Sipailou, Nanjing, China

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Kaifeng Zhang

Corresponding Author

Kaifeng Zhang

Key Laboratory of Measurement and Control of Complex Systems of Engineering, School of Automation, Southeast University, No. 2, Sipailou, Nanjing, China

Correspondence

Kaifeng Zhang, School of Automation, Southeast University, Nanjing, China.

Email: [email protected]

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Jian Geng

Jian Geng

Power System Automation Department, State Grid Electric Power Research Institute, Nanjing, 210003 China

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Kun Yuan

Kun Yuan

Key Laboratory of Measurement and Control of Complex Systems of Engineering, School of Automation, Southeast University, No. 2, Sipailou, Nanjing, China

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Zhenglin Yang

Zhenglin Yang

Power System Automation Department, State Grid Electric Power Research Institute, Nanjing, 210003 China

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Lu Li

Lu Li

Key Laboratory of Measurement and Control of Complex Systems of Engineering, School of Automation, Southeast University, No. 2, Sipailou, Nanjing, China

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First published: 23 January 2017
Citations: 13

Summary

Load frequency control (LFC) is essential for power system frequency stability. With the development of new technology, more components (eg, storage system) can be applied for frequency control. These components possess different characteristics, leading to varied performance for different allocation scheme (allocation coefficients). This paper deals with optimal allocation scheme for LFC considering both control performance and regulation cost. The optimal allocation scheme is modelled by a multiobjective optimization problem containing area control error index and regulation cost index. Nondominated sorting genetic algorithm II is used to calculate the Pareto optimal solutions. The optimal allocation scheme is thus obtained from the Pareto optimal solutions based on the rank of the load variation. The simulation results show that multiobjective-based optimal allocation scheme can sufficiently consider the LFC control performance and regulation cost and produce better overall performance under different operating circumstances compared with conventional allocation scheme.

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