Robust H&lt;inf&gt;&amp;#x221E;&lt;/inf&gt; Load Frequency Control of future power grid with energy storage considering parametric uncertainty and time delay

Zhang, Liyan; Chen, Guo; Wang, Zhuoyang; Dong, Zhaoyang; Hill, David J.

doi:10.1109/pesgm.2014.6939277

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…Classical methods as Proportional Integral (PI), Integral (I) and Proportional-IntegralDerivative (PID) were found in (Kalyani, Nagalakshmi, and R 2012;Sen and Kumar 2014), respectively. In (L. Zhang et al 2014), authors replaced the conventional PI controller with an H-infinity robust control method. Problems associated with parametric uncertainty and propagation delay in control channels have been considered and treated in their work.…”

Section: Lfc Control Strategiesmentioning

confidence: 99%

Exploitation of Battery Energy Storage in Load Frequency Control -A Literature Survey

Zurfi¹,

Zhang²

2016

American Journal of Engineering and Applied Sciences

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Deregulation of the electricity market and the continued attempts by the international community to reduce the effects of global climate change have resulted in a rapid increase in the usage of different renewable forms of energy such as the wind and solar energy. The availability of such renewables is highly sporadic in nature. Consequently, their integration into the power system is a practice not without unfavorable impacts on the stability of the power system. The stability of the power system frequency is vulnerable to sudden imbalances between generation and demand. Therefore, the intermittent generation from the renewables imposes undesirable frequency fluctuations. Load Frequency Control (LFC) is the control scheme responsible for restoring system frequency to its rated value after any generation-demand imbalance that causes the frequency to deviate from the rated value. Therefore, efficient and fast LFC techniques are crucial. Utilization of Battery Energy Storage (BES) is one of the techniques applied to improve the performance of LFC due to its distinctive characteristics of fast response and high energy density. This paper is aimed to provide a succinct and comprehensive literature survey of the different concepts and strategies of the utilization of battery energy storage systems for LFC services. The study was conducted by reviewing, collating and interpreting numerous research papers on the relevant topics. Based on the BES scale, location, control, ownership and coordination with the system operator, the existing strategies are classified into two main categories: Grid-Scale Systems (GSS) and Load-Scale Systems (LSS). The LSS category is subclassified as Coordinated Aggregate Systems and Non-Coordinated Individual Systems. The survey theoretically discussed the advantages and disadvantages of each category from a technical perspective.

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Section: Lfc Control Strategiesmentioning

confidence: 99%

Exploitation of Battery Energy Storage in Load Frequency Control -A Literature Survey

Zurfi¹,

Zhang²

2016

American Journal of Engineering and Applied Sciences

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“…A large number of Renewable Energy Sources (RESs), such as solar photovoltaic and wind power, have been installed in the power system in recent years. However, the uncontrollable stochastic characteristic of these RESs could be a threat to the frequency stability [1]. Moreover, the voltage magnitude and the rotor angle stability of the power system would be negatively affected by the high penetration of RESs [2].…”

Section: Introductionmentioning

confidence: 99%

Battery Energy Storage System Based on Incremental Cost Consensus Algorithm for the Frequency Control

Chen

Bao

et al. 2019

IEEE Access

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In the past few years, Battery Energy Storage System (BESS) has been found of great potential in supporting the frequency control. Increasing attentions have been given to the control strategy of BESS. In this paper, a distributed control method considering the life-loss cost is proposed for BESS. Based on the multi-agent system, the Incremental Cost Consensus (ICC) algorithm is applied to minimize the life-loss cost of BESS. In order to improve the control performance, parameters of the system are optimized by Genetic Algorithm (GA). The simulation results are provided to verify the effectiveness of the proposed approach.

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Comparative Study on Control Techniques and Delay Margin Enhancement in LFC System

Usman

El-Hag

Lutfi

et al. 2018

2018 International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET)

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Robust H<inf>∞</inf> Load Frequency Control of future power grid with energy storage considering parametric uncertainty and time delay

Cited by 3 publications

References 11 publications

Exploitation of Battery Energy Storage in Load Frequency Control -A Literature Survey

Exploitation of Battery Energy Storage in Load Frequency Control -A Literature Survey

Battery Energy Storage System Based on Incremental Cost Consensus Algorithm for the Frequency Control

Comparative Study on Control Techniques and Delay Margin Enhancement in LFC System

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