Observer based sliding mode frequency control for multi-machine power systems with high renewable energy

Tummala, Ayyarao S. L. V.; Inapakurthi, Ravikiran; Ramanarao, P. V.

doi:10.1007/s40565-017-0363-3

Cited by 32 publications

(15 citation statements)

References 20 publications

(20 reference statements)

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“…High penetration of variable renewable energy sources results in wide frequency fluctuations due to the low inertia of the electric grid [5]. To improve the reliability of the electric grid, it is highly recommended to deploy an energy storage system (ESS).…”

Section: Literature Reviewmentioning

confidence: 99%

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Optimal Sizing of Battery-Integrated Hybrid Renewable Energy Sources with Ramp Rate Limitations on a Grid Using ALA-QPSO

Nuvvula

Elangovan

Kishore³

et al. 2021

Energies

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Higher penetration of variable renewable energy sources into the grid brings down the plant load factor of thermal power plants. However, during sudden changes in load, the thermal power plants support the grid, though at higher ramping rates and with inefficient operation. Hence, further renewable additions must be backed by battery energy storage systems to limit the ramping rate of a thermal power plant and to avoid deploying diesel generators. In this paper, battery-integrated renewable energy systems that include floating solar, bifacial rooftop, and wind energy systems are evaluated for a designated smart city in India to reduce ramping support by a thermal power plant. Two variants of adaptive-local-attractor-based quantum-behaved particle swarm optimization (ALA-QPSO) are applied for optimal sizing of battery-integrated and hybrid renewable energy sources to minimize the levelized cost of energy (LCoE), battery life cycle loss (LCL), and loss of power supply probability (LPSP). The obtained results are then compared with four variants of differential evolution. The results show that out of 427 MW of the energy potential, an optimal set of hybrid renewable energy sources containing 274 MW of rooftop PV, 99 MW of floating PV, and 60 MW of wind energy systems supported by 131 MWh of batteries results in an LPSP of 0.005%, an LCoE of 0.077 USD/kW, and an LCL of 0.0087. A sensitivity analysis of the results obtained through ALA-QPSO is performed to assess the impact of damage to batteries and unplanned load appreciation, and it is found that the optimal set results in more energy sustainability.

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Section: Literature Reviewmentioning

confidence: 99%

“…Finally, the hourly PV power can be assessed using Equation (5). The albedo further has two components, a reflected direct beam and reflected diffused irradiance, as given in Equation (3).…”

Section: Solar Pv Systemmentioning

confidence: 99%

Optimal Sizing of Battery-Integrated Hybrid Renewable Energy Sources with Ramp Rate Limitations on a Grid Using ALA-QPSO

Nuvvula

Elangovan

Kishore³

et al. 2021

Energies

Self Cite

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“…SMC is an efficient tool to design robust controllers which has been widely used in the converter controller designing (Ma et al, 2019;Feng et al, 2020). An observer based sliding mode frequency control strategy is proposed for multi-machine power systems with high renewable energy (Tummala et al, 2018). A fractionalorder sliding mode control is proposed for a D-STATCOM to compensate the low power distribution system (Ahmed et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Passive Sliding Mode Controlled UPFC and its Treatment Strategy of Unbalanced Grid Conditions

et al. 2021

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Modular multilevel converter based unified power flow controller (MMC-UPFC) can provide flexible power regulation and plays an important role in the smart grid and future distribution networks. PI controller is widely adopted in the Unified power flow controller (UPFC) control. However, it is often difficult to figure out a pair of stable control parameters with good dynamic performance. A passive sliding mode control strategy of MMC-UPFC is proposed in this paper to achieve the advantages of both the passive controller and sliding mode controller. The proposed passive sliding mode control strategy has a fast response speed and is not sensitive to system parameter variation. Since unbalance grid voltage conditions are common in the modern distribution networks, an unbalanced grid treatment strategy is also presented with the series side of MMC-UPFC. Negative sequence components of the grid voltages are detected by the cross-decoupling method with second order generalized integrator and then compensated by the series side of MMC-UPFC. The series side converter controls the power flow and treats unbalanced grid conditions simultaneously. The efficiency of the general device is increased thus. A 27-level MMC-UPFC simulation system is built based on the Shanghai UPFC Project and validate the proposed approach.

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“…With the increase of energy crisis and environmental pollution, renewable energy has become the focus of current research because of its inexhaustible characteristics and environmental friendliness [1][2][3]. However, the output power of renewable energy has significant randomness and intermittency [4].…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimal operation of hybrid AC/DC microgrid considering source-network-load coordination

Zheng

2019

J. Mod. Power Syst. Clean Energy

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Taking the consumption rate of renewable energy and the operation cost of hybrid AC/DC microgrid as the optimization objectives, the adjustment of load demand curves is carried out considering the demand side response (DSR) on the load side. The complementary utilization of renewable energy between AC area and DC area is achieved to meet the load demand on the source side. In the network side, the hybrid AC/DC microgrids purchase electricity from the power grid at the time-of-use (TOU) price and sell the surplus power of renewable energy to the power grid for profits. The improved memetic algorithm (IMA) is introduced and applied to solve the established mathematical model. The promotion effect of the proposed source-network-load coordination strategies on the optimal operation of hybrid AC/DC microgrid is verified.

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Observer based sliding mode frequency control for multi-machine power systems with high renewable energy

Cited by 32 publications

References 20 publications

Optimal Sizing of Battery-Integrated Hybrid Renewable Energy Sources with Ramp Rate Limitations on a Grid Using ALA-QPSO

Optimal Sizing of Battery-Integrated Hybrid Renewable Energy Sources with Ramp Rate Limitations on a Grid Using ALA-QPSO

Passive Sliding Mode Controlled UPFC and its Treatment Strategy of Unbalanced Grid Conditions

Multi-objective optimal operation of hybrid AC/DC microgrid considering source-network-load coordination

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