Control strategies for automatic generation control over MTDC grids

Namara, Paul Mc; Meere, Ronan; O’Donnell, Terence; McLoone, Séamus

doi:10.1016/j.conengprac.2016.05.016

Cited by 11 publications

(12 citation statements)

References 34 publications

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“…Many works have been done on various algorithm techniques and methods such as a flower pollination technique based AGC of interlinked power environment and cross characterized 'gbest'-mentored gravitational search and marking search algorithm for AGC of multiple area power system [8][9]. Several strategies have been made for control for automatic generation control in multi terminal DC grids [10] and other strategies such as in [11], divided model predictive control strategies with demand to power system automatic generation control and in paper [12], distributed automatic generation control using horizontal-based method for large perforation in generation of wind.…”

Section: Introductionmentioning

confidence: 99%

Frequency Regulation of Renewable Energy Integrated Deregulated Power System using Novel Optimization Scheme

Sinha¹,

Mallick²

2019

IJRTE

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The proposed work deals with the automatic generation control of a two area system under deregulated power environment. The two area system considered for analysis implements the integration of renewables into it. The system model consists of a solar thermal plant and a reheat thermal plant in area 1. The reheat thermal plant is replaced with the nuclear power plant in area 2. So the second area consists of a nuclear plant and a solar thermal plant for study. This work also deals with the application of a new controller namely the Tilted Integral Derivative controller as a secondary controller for minimizing the Area control Error (ACE) and bring it to zero. This work also proposes the implementation of a novel optimization techniqueDragonfly algorithm (DA) technique. The superiority of DA tuned TID controller was established in terms of settling time, maximum overshoot and minimum undershoot. The behaviour of the DA tuned TID controller is also tested in the new model for two different market scenarios namely the base case and the bilateral transaction. The dynamic system performance parameters are evaluated and noted. The robustness of the proposed DA tuned controller is effectively established

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Section: Introductionmentioning

confidence: 99%

Frequency Regulation of Renewable Energy Integrated Deregulated Power System using Novel Optimization Scheme

Sinha¹,

Mallick²

2019

IJRTE

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“…MPC has been shown to offer setpoint tracking and robustness performance in a range of power systems applications including secondary frequency control, typically referred to as automatic generation control (AGC) [9]- [11], and voltage control [12], [13]. Additionally, MPC has been suggested for application to the dynamic control of point-to-point HVDC links [14], [15] and for providing predictive optimal power flow for MTDC systems in [16].…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, MPC has been suggested for application to the dynamic control of point-to-point HVDC links [14], [15] and for providing predictive optimal power flow for MTDC systems in [16]. Recently it was shown that MPC could be used as a means of improving AGC performance and robustness for ac areas connected to MTDC grids versus decentralised PI based techniques [11], [17]. In [11], [17], several assumptions were made.…”

Section: Introductionmentioning

confidence: 99%

Model Predictive Control-Based AGC for Multi-Terminal HVDC-Connected AC grids

McNamara

Milano

2018

IEEE Trans. Power Syst.

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Multi-terminal HVDC (MTDC) grids are seen as the enabling technology in the development of massive scale international grids such as the European Supergrid. It is expected that these grids can play a significant role in regulating ac system frequencies. To date, many proportional-integral (PI) controller based techniques have been proposed for frequency regulation in ac MTDC-connected grids. In this paper Model Predictive Control (MPC) is proposed as a means of implementing Automatic Generation Control, while minimising dc grid power losses. The advantages of using MPC versus PI are highlighted with regard to improvements in both frequency and dc grid regulation, while explicitly considering both delays and dc voltage constraints.

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“…Secondary frequency control, typically referred to as Automatic Generation Control (AGC), coordinates the actions of various power sources over the seconds to tens of seconds scale in order to eradicate longer term frequency biases. Several PFC [3], [4] and AGC approaches have been developed for aiding in frequency control in AC networks using MTDC grids [5]- [7].…”

Section: Introductionmentioning

confidence: 99%

“…As it is a MIMO technique, it can take full advantage of system models, and it can explicitly consider delays and system constraints. It has been shown previously that there is the potential for an improvement in overall system performance in terms of frequency regulation if MPC approaches are used versus PI controllers for AGC [7], [8].…”

Section: Introductionmentioning

confidence: 99%