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Energies 2017, 10(9), 1302; doi:10.3390/en10091302

A Simulation-Based Optimization Method for Hybrid Frequency Regulation System Configuration

1
Department of Industrial Engineering, College of Engineering, Peking University, Beijing 100871, China
2
Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
3
Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
*
Author to whom correspondence should be addressed.
Received: 21 July 2017 / Revised: 9 August 2017 / Accepted: 29 August 2017 / Published: 30 August 2017
(This article belongs to the Section Energy Storage and Application)
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Abstract

Frequency regulation is essential for the stability of a power grid with high load fluctuation and integration of new energies. Constrained by the large ramping, a generator alone is not capable of conducting load frequency controls effectively and economically. In this paper, an energy storage system (ESS) is introduced to coordinate with generators in automatic generation control (AGC), where ESS and the generator respectively deal with high-frequency load fluctuation and low-portion. We develop a system configuration framework for such a hybrid system, including the operation strategy and capacity optimization. Due to the complexity of the hybrid system, the operation process is captured by a simulation model which considers practical constraints as well as remaining energy management of ESS. Taking advantage of the gradient-based approximation algorithm, we are then able to optimize the capacity of a hybrid system. According to the numerical experiments with real historical AGC data, the hybrid system is shown to perform well in cost reduction and to achieve the regulation tasks. View Full-Text
Keywords: frequency regulation; energy storage system; simulation optimization frequency regulation; energy storage system; simulation optimization
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Song, J.; Pan, X.; Lu, C.; Xu, H. A Simulation-Based Optimization Method for Hybrid Frequency Regulation System Configuration. Energies 2017, 10, 1302.

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