Enhancing the dynamic performance of microgrid using derivative controlled solar and energy storage based virtual inertia system

Saxena, Pranjal; Singh, Navdeep; Pandey, Ashok Kumar

doi:10.1016/j.est.2020.101613

Cited by 60 publications

(22 citation statements)

References 30 publications

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“…To introduce inertia and mimic the SG behavior, the VSC control loops must integrate the swing equation and reactive power droop (as in the SG case). The control loop adds inertia virtually but allows the manipulation of the virtual system in ways that cannot be accomplished in an SG, e.g., dynamically change the inertia of the system as suggested in Saxena et al (2020). There are no rotating parts in the VSC hence, active power is supplied by the energy stored in the DC bus capacitance and interconnected sources.…”

Section: Z Xmentioning

confidence: 99%

Power Sharing in Island Microgrids

2021

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The growth of local renewable energy sources and heavy loads in power distribution networks, such as the increasing electric vehicles charging stations, causes several issues with a direct impact on the stability of the electrical grid. An attempt to overcome such issues is the microgrid concept, which has the grid structured into local sub-grids that manage their power and energy balancing. A microgrid may operate connected or disconnected from the main grid, being dynamically necessary to guarantee a power balancing between local loads and sources. Furthermore, as several power units are connected to the same microgrid, equity is also required in terms of power sharing. Current work explores a scenario of an island operation of a microgrid with multiple sources, including battery storage systems and sharing power with multiple loads, including electric vehicle chargers, a scenario appropriated to a city grid. A local control solution for a stable operation of the microgrid in terms of both power balancing and power sharing is presented and validated through numerical and experimental results.

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Section: Z Xmentioning

confidence: 99%

Power Sharing in Island Microgrids

2021

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“…The dynamic model of the PV system assisted with (A) only MPPT 22 (B) derivative loop 23 (C) both derivative and damping loop (PIVD model)…”

Section: Pivd Modelingmentioning

confidence: 99%

“…Consequently, the VIR capacity is reduced from its initial value (see Figure 4B). For simulation and testing, the solar power input is taken as shown in Figure 4C, while other values are selected from the parameters table 29,23 of the Appendix A section.…”

Section: Pivd Modelingmentioning

confidence: 99%

“…This technique uses derivative control 20 to extract the additional power support from DC sources (multiple HVDC in Reference 21 and ESS in Reference 22) and stabilizes the grid during power unbalancing phase. Further in Reference 23, the author transforms the role of RES from inertia‐less to inertia‐full system, by applying the derivative technique on RES itself. On the de‐loading side; Reference 24 explores the frequency regulation capabilities of solar PV system, by employing the de‐loading technique.…”

Section: Introductionmentioning

confidence: 99%

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Investigating the frequency fault ride through capability of solar photovoltaic system: Replacing battery via virtual inertia reserve

Saxena

Singh

Pandey

2021

Int Trans Electr Energ Syst

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Summary The low voltage ride through (LVRT) capability is an important aspect of the microgrid system, dominated by renewable energy sources (RES). Earlier studies investigate the LVRT capabilities of microgrids but ignore their frequency stability during and after the fault scenario. This paper fills this gap by investigating the frequency fault ride through (FFRT) capability of photovoltaic (PV) based microgrid model and suggests a novel PI‐based virtual damping (PIVD) controller for enhancing the dynamic performance. This controller tracks the frequency error and de‐loads the solar power in the same proportion. This de‐loading creates useful virtual inertia reserve (VIR), which replaces the role of battery storage by stabilizing the grid during the contingency period. To validate the effectiveness, a microgrid assisted with the PIVD controller is simulated in MATLAB and its frequency performance is compared with pre‐existing conventional and ESS models. The comparative results confirm that the proposed model is capable of riding through the severe fault scenario, with the least possible frequency deviation.

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“…The control and operation studies of modern power grids considering a high share of RES penetration are becoming complicated and most remarkable for providing uninterrupted power to the consumers. Generally, the use of high-penetration RESs would have critical implications on the safe operation of power systems [9]. As the RES penetration rate increases, renewables generators are progressively replacing traditional synchronous generators that supply the utility grid with inertia and damping properties; whereas, in traditional power grids, the synchronous generator provides inertia via the kinetic energy stored in its rotating mass in addition to the damping property resulting from electrical and mechanical losses [10].…”

Section: Introductionmentioning

confidence: 99%

A New Virtual Synchronous Generator Design Based on the SMES System for Frequency Stability of Low-Inertia Power Grids

et al. 2020

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In light of the challenges of integrating more renewable energy sources (RESs) into the utility grid, the virtual synchronous generator (VSG) will become an indispensable configuration of modern power systems. RESs are gradually replacing the conventional synchronous generators that are responsible for supplying the utility grid with the inertia damping properties, thus renewable power grids are more vulnerable to disruption than traditional power grids. Therefore, the VSG is presented to mimic the behavior of a real synchronous generator in the power grid through the virtual rotor concept (i.e., which emulates the properties of inertia and damping) and virtual primary and secondary controls (i.e., which emulate the conventional frequency control loops). However, inadequate imitation of the inertia power owing to the low and short-term power of the energy storage systems (ESSs) may cause system instability and fail dramatically. To overcome this issue, this paper proposes a VSG based on superconducting magnetic energy storage (SMES) technology to emulate the needed inertia power in a short time and thus stabilizing the system frequency at different disturbances. The proposed VSG based on SMES is applied to improve the frequency stability of a real hybrid power grid, Egyptian Power System (EPS), with high renewables penetration levels, nonlinearities, and uncertainties. The performance superiority of the proposed VSG-based SMES is validated by comparing it with the traditional VSG approach based on battery ESSs. The simulation results demonstrated that the proposed VSG based on the SMES system could significantly promote ultra-low-inertia renewable power systems for several contingencies.

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Enhancing the dynamic performance of microgrid using derivative controlled solar and energy storage based virtual inertia system

Cited by 60 publications

References 30 publications

Power Sharing in Island Microgrids

Power Sharing in Island Microgrids

Investigating the frequency fault ride through capability of solar photovoltaic system: Replacing battery via virtual inertia reserve

A New Virtual Synchronous Generator Design Based on the SMES System for Frequency Stability of Low-Inertia Power Grids

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