Research on Improved VSG Control Algorithm Based on Capacity-Limited Energy Storage System

Yanfeng Ma, Zijian Lin, Rennan Yu and Shuqiang Zhao
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Yanfeng Ma: Department of Electrical Engineering, North China Electric Power University, Baoding 071003, China
Zijian Lin: Department of Electrical Engineering, North China Electric Power University, Baoding 071003, China
Rennan Yu: Fuzhou Power Supply Company of State Grid Fujian Electric Power Company, Fuzhou 350003, China
Shuqiang Zhao: Department of Electrical Engineering, North China Electric Power University, Baoding 071003, China

Energies, 2018, vol. 11, issue 3, 1-17

Abstract: A large scale of renewable energy employing grid connected electronic inverters fail to contribute inertia or damping to power systems, and, therefore, may bring negative effects to the stability of power system. As a solution, an advanced Virtual Synchronous Generator (VSG) control technology based on Hamilton approach is introduced in this paper firstly to support the frequency and enhance the suitability and robustness of the system. The charge and discharge process of power storage devices forms the virtual inertia and damping of VSG, and, therefore, limits on storage capacity may change the coefficients of VSG. To provide a method in keeping system output in an acceptable level with the capacity restriction in a transient period, an energy control algorithm is designed for VSG adaptive control. Finally, simulations are conducted in DIgSILENT to demonstrate the correctness of the algorithm. The demonstration shows: (1) the proposed control model aims at better system robustness and stability; and (2) the model performs in the environment closer to practical engineering by fitting the operation state of storage system.

Keywords: VSG; dissipative Hamiltonian system; energy storage; small-signal model (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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