Super-capacitor based energy storage system for improved load frequency control

Mufti, Mairaj ud din; Lone, Shameem Ahmad; Iqbal, Shiekh Javed; Ahmad, Muzzafar; Ismail, Mudasir

doi:10.1016/j.epsr.2008.06.001

Cited by 97 publications

(51 citation statements)

References 17 publications

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“…As reported in [17,18], battery and super-capacitor units can be used for high power applications. Application of SMES as bulk energy storage with HVDC links is also presented in [19,20].…”

Section: Brief Description Of Energy Storage For Lfcmentioning

confidence: 99%

“…Grid-scale energy storage is widely believed to have the potential to provide more flexibility which led to research investigation on both the technical and economic issues surrounding energy storage system (ESS) applications [15][16][17][18][19][20][21]. In most of these applications, the matter of inertia and different control methodologies for providing inertia is missing.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of derivative control based virtual inertia in multi‐area high‐voltage direct current interconnected power systems

Rakhshani

Remon

Cantarellas

et al. 2016

IET Generation, Transmission & Distribution

166

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Abstract:Due to increasing level of power converter-based component and consequently the lack of inertia, automatic generation control (AGC) of interconnected systems is experiencing different challenges. To cope with this challenging issue, a derivative control-based virtual inertia for simulating the dynamic effects of inertia emulations by HVDC (highvoltage direct current) interconnected systems is introduced and reflected in the multi-area AGC system. Derivative control technique is used for higher level applications of inertia emulation. The virtual inertia will add an additional degree of freedom to the system dynamics which makes a considerable improvement on first overshoot responses in addition to damping characteristics of HVDC links. Complete trajectory sensitivities are used to analyse the effects of virtual inertia and derivative control gains on the system stability. The effectiveness of the proposed concept on dynamic improvements is tested through Matlab simulation of two-area test system for different contingencies.

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“…As reported in [17,18], battery and super-capacitor units can be used for high power applications. Application of SMES as bulk energy storage with HVDC links is also presented in [19,20].…”

Section: Brief Description Of Energy Storage For Lfcmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis of derivative control based virtual inertia in multi‐area high‐voltage direct current interconnected power systems

Rakhshani

Remon

Cantarellas

et al. 2016

IET Generation, Transmission & Distribution

166

View full text Add to dashboard Cite

show abstract

“…the system nonlinearity such as the generation rate constraint and dead band of governor are considered, which may lead to unsatisfactory frequency deviations and tie power oscillation [1][2]. System oscillation may be expanded in the system and even causes the power outages.…”

mentioning

confidence: 99%

“…System oscillation may be expanded in the system and even causes the power outages. The supplement of a smallcapacity energy storage system to power system can effectively promote the situation above [1][2][3]. Different types of advanced energy storage technologies can be applied in LFC, such as battery energy storage system [10], electrochemical energy storage [11], superconducting magnetic energy storage [12][13][14], supercapacitor energy storage [1,3,15], pumped storage [16], and flywheel energy storage [17].…”

mentioning

confidence: 99%

“…Supercapacitor has the high power density, and its energy can be quickly released and stored [22,23]. The lifetime of supercapacitor is measured in decades with no life degradation owing to the frequent cycling [1]. The application of a small-capacity HESS composed of fuel cell and supercapacitor to an interconnected power system for promoted LFC is an effective method, in which an inner control is used to exchange the desired power between the hybrid energy storage system (HESS) and the power system for improving the dynamic characteristics of LFC.…”

mentioning

confidence: 99%

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A Novel Adaptive Neural Network Constrained Control for a Multi-Area Interconnected Power System With Hybrid Energy Storage

Liu

Yan

et al. 2018

IEEE Trans. Ind. Electron.

166

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Abstract-This paper concentrates on the problem of control of a hybrid energy storage system (HESS) for an improved and optimized operation of load-frequency control (LFC) applications. The HESS consists of a supercapacitor served as the main power source, and a fuel cell served as the auxiliary power source. Firstly, a Hammerstein-type neural network (HNN) is proposed to identify the HESS system, which formulates the Hammerstein model with a nonlinear static gain in cascade with a linear dynamic block. It provides the model information for the controller to achieve the adaptive performance. Secondly, a feedforward neural network based on back-propagation training algorithm is designed to formulate the PID-type neural network (PIDNN), which is used for the adaptive control of HESS system. Meanwhile, a dynamic anti-windup signal is designed to solve the operational constraint of the HESS system. Then, an appropriate power reference signal for HESS can be generated. Thirdly, the stability and the convergence of the whole system are proved based on the Lyapunov stability theory. Finally, simulation experiments are followed through on a four-area interconnected power system to demonstrate the effectiveness of the proposed control scheme.Index Terms-Load-frequency control (LFC), hybrid energy storage system (HESS), Hammerstein network identification, PIDtype neural network (PIDNN), dynamic anti-windup, adaptive control

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2016

Energy Storage in Power Systems

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Super-capacitor based energy storage system for improved load frequency control

Cited by 97 publications

References 17 publications

Analysis of derivative control based virtual inertia in multi‐area high‐voltage direct current interconnected power systems

Analysis of derivative control based virtual inertia in multi‐area high‐voltage direct current interconnected power systems

A Novel Adaptive Neural Network Constrained Control for a Multi-Area Interconnected Power System With Hybrid Energy Storage

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