Decentralized Control of Large-Scale Storage-Based Renewable Energy Systems

Khayyer, Pardis; Özgüner, Ü.

doi:10.1109/tsg.2014.2311093

Cited by 52 publications

(31 citation statements)

References 35 publications

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“…Assuming that the EVs of the EV aggregator do not have either full state-of-charge battery or empty stateof-charge battery, the input-output relationship of the battery system of an EV can be represented by the 1st order transfer function as given below in Eq. (1): [19][20][21].…”

Section: Ev Aggregator With Time-varying Delaymentioning

confidence: 99%

Automatic generation control analysis of power system with nonlinearities andelectric vehicle aggregators with time-varying delay implementing a novel controlstrategy

Patel¹,

Sahu²,

Debnath³

2019

Turk J Elec Eng & Comp Sci

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Automatic generation control (AGC) also known as load frequency control plays a vital role in interconnected power system for frequency regulation. Electric vehicles (EVs) with battery as the storage device can participate in frequency regulation service. In practice, a large number of EVs are aggregated as a single unit called EV aggregator for participation in frequency regulation service in AGC system. Participation of EV aggregators in AGC system for frequency regulation will be encouraged in near future because EVs have less environmental pollution than the conventional vehicles. However, participation of EV aggregators in AGC system may introduce time delay which degrades the dynamic performance of the power system and even may lead to system instability. Further, generation rate constraint (GRC) and governor dead band (GDB) of synchronous generator introduce nonlinearity in the system, which adversely affects its dynamic performance. Hence, selection of an appropriate control strategy is essential for performance enrichment of the power system. In this work, a PID-fuzzy-PID (PID-FPID) controller optimally designed by hybridizing particle swarm optimization (PSO) and modified sine cosine algorithm (MSCA) is proposed and a novel attempt is made to improve the frequency stability of a two-equal-area interconnected thermal power system with GDB and GRC incorporating an EV aggregators with time-varying delay in each area. Integral time absolute error has been chosen as the objective function to optimally design the controller parameters. Dynamic performance of the system is also investigated with proportional-integral-derivative (PID) controller optimally designed by PSO, sine cosine algorithm (SCA), MSCA, and hybrid PSO-MSCA. The efficacy and supremacy of the proposed hybrid PSO-MSCA-based PID-FPID control strategy is established by contrasting the results with the others. Finally, the robustness of the proposed control strategy is validated by (i) including two EV aggregators with time-varying delay in each area, (ii) applying a large disturbance of 0.4 p.u. in area-1, and (iii) applying a random load in area-1.

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Section: Ev Aggregator With Time-varying Delaymentioning

confidence: 99%

Automatic generation control analysis of power system with nonlinearities andelectric vehicle aggregators with time-varying delay implementing a novel controlstrategy

Patel¹,

Sahu²,

Debnath³

2019

Turk J Elec Eng & Comp Sci

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“…However, these distributed generations cause problems such as voltage rise and instability problems in the power grid. The interconnection between these sources may increase the risk of cascading failures because any imbalance in the power grid may propagate quickly over a wide area [3,4]. Furthermore, it is difficult for the conventional grid architecture to maintain the supply-demand balance with the variations caused by the increase of renewable and variable energy generations [5,6].…”

Section: Introductionmentioning

confidence: 99%

Digital Adaptive Hysteresis Current Control for Multi-Functional Inverters

2018

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This paper proposes a digital adaptive hysteresis current control method for multi-functional inverters in a power-flow control device called digital grid router. Each inverter can be controlled in master, grid-connected, or stand-alone modes, which can be specified by the controller. While the popular linear sine-triangle pulse width modulation (SPWM) control technique requires complicated proportional-integral (PI) regulators with an unavoidable time delay, hysteresis current control has a simple structure, fast responses, and robustness due to its independent system of parameters. Since the hysteresis current control method controls the output current stay around the reference current directly, in the multi-functional inverter, the reference output is not given by a current directly. Thus, the reference current used to implement the hysteresis current control in this study is calculated from the given reference voltage or power in each control mode. The controller uses high-speed sampled data at MHz level and is implemented by using a field-programmable gate array (FPGA). Experimental results show good performances of the proposed controller in controlling power exchanges in the digital grid router.

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“…This may cause problems such as voltage rise and protection problems in the utility grid [3]. Furthermore, it is difficult to control the supply-demand balance with the current power grid architecture due to fluctuations caused by the increase of renewable and variable energy generations like PV systems [4,5].…”

Section: Introductionmentioning

confidence: 99%

MPPT and SPPT Control for PV-Connected Inverters Using Digital Adaptive Hysteresis Current Control

2018

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Most PV systems are usually controlled by a Maximum Power Point Tracking (MPPT) algorithm to maximize the generated electrical power. However, the maximum power is often unstable and depends on the solar irradiance and temperature. This makes it difficult to control the power grid supply-demand balance due to fluctuations caused by the increase of renewable and variable PV systems. This paper proposes a new control algorithm for a PV-connected inverter called Specified Power Point Tracking (SPPT) control in addition to the conventional Maximum Power Point Tracking (MPPT) control. The PV system is controlled to generate the maximum power or a specified power depending on the electricity transactions comes from the electricity trading system. A high-speed FPGA-based digital adaptive hysteresis current control method, which has fast and stable response and simple structure comparing with the popular Sine-triangle Pulse Width Modulation (SPWM) method, is proposed to implement the MPPT and SPPT control. The adaptive hysteresis current band is calculated adaptively to improve a disadvantage of the classical fixed band hysteresis current control on the varying switching frequency. A reference current used in the adaptive hysteresis current control is calculated such that the output power of the PV-connected inverter is maximized in the MPPT control or is maintained at a given value in the SPPT control. The experimental and simulation results show that the PV-connected inverter under the proposed control algorithm generates the desired power almost exactly and yields stable and fast response despite the varying irradiance.

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Decentralized Control of Large-Scale Storage-Based Renewable Energy Systems

Cited by 52 publications

References 35 publications

Automatic generation control analysis of power system with nonlinearities andelectric vehicle aggregators with time-varying delay implementing a novel controlstrategy

Automatic generation control analysis of power system with nonlinearities andelectric vehicle aggregators with time-varying delay implementing a novel controlstrategy

Digital Adaptive Hysteresis Current Control for Multi-Functional Inverters

MPPT and SPPT Control for PV-Connected Inverters Using Digital Adaptive Hysteresis Current Control

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