Future Power Distribution Grids: Integration of Renewable Energy, Energy Storage, Electric Vehicles, Superconductor, and Magnetic Bus

Muttaqi, Kashem M.; Islam, Md. Rabiul; Sutanto, Danny

doi:10.1109/tasc.2019.2895528

Cited by 97 publications

(27 citation statements)

References 29 publications

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“…Varshosaz et al [42] adopted the saturation control theory to calculate the minimum energy storage capacity to keep the system stable. The authors of [43,44] used the discrete Fourier transform for analyzing the spectrum of renewable energy to determine the compensation range of energy storage, and then proposed a capacity determination method that satisfied the requirements. (3) Establishing objective functions with the objective of minimizing the cost.…”

Section: Of 20mentioning

confidence: 99%

Research on Energy Storage Optimization for Large-Scale PV Power Stations under Given Long-Distance Delivery Mode

Yang

Lian

et al. 2019

Energies

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Western China has good conditions for constructing large-scale photovoltaic (PV) power stations; however, such power plants with large fluctuations and strong randomness suffer from the long-distance power transmission problem, which needs to be solved. For large-scale PV power stations that do not have the conditions for simultaneous hydropower and PV power, this study examined long-distance delivery mode and energy storage optimization. The objective was to realize the long-distance transmission of electrical energy and maximize the economic value of the energy storage and PV power storage. For a large-scale PV power station, the energy storage optimization was modelled under a given long-distance delivery mode, and the economic evaluation system quantified using the net present value (NPV) of the battery was based on the energy dispatch optimization model. By contrast, a lithium battery performance model was developed. Therefore, further analysis of the economics of the energy storage and obtaining the best capacity of the energy storage battery and corresponding replacement cycle considered battery degradation. The case study of Qinghai Gonghe 100 MWp demonstration base PV power station showed that the optimal energy storage capacity was 5 MWh, and the optimal replacement period was 2 years. Therefore, the annual abandoned electricity was reduced by 3.051 × 10 4 MWh compared with no energy storage. The utilization rate of both the PV power station and quality of the delivered electricity were modelled to realize a long-distance transmission to the grid net. This will have an important guiding significance to develop and construct large-scale single PV power stations.

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Section: Of 20mentioning

confidence: 99%

Research on Energy Storage Optimization for Large-Scale PV Power Stations under Given Long-Distance Delivery Mode

Yang

Lian

et al. 2019

Energies

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“…There is a clear need to introduce technologies that will assist in reducing GHG emissions and global warming [2]. One of the technologies to achieve such goal are DER technologies based on RES.…”

Section: Chapter 2 Integrating Hybrid Off-grid Systems With Battery Smentioning

confidence: 99%

Integrating Hybrid Off-grid Systems with Battery Storage: Key Performance Indicators

Costa

Ribeiro

Miranda

et al. 2019

2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)

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“…Moreover, the high RESs penetration in microgrids might have adverse effects on the virtual inertia control performance and stability. Considering such drawbacks, the superconducting magnetic energy storage (SMES) technology is among ESS choices due to its major advantages of fast response, high efficiency, high energy/power, and unlimited number of charging/discharging cycles [11,12]. The main advantage of SMES is that it can discharge large amounts of power in a short period of time.…”

Section: Introductionmentioning

confidence: 99%

Applying Virtual Inertia Control Topology to SMES System for Frequency Stability Improvement of Low-Inertia Microgrids Driven by High Renewables

et al. 2019

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To integrate renewable energy into microgrids with a favorable inertia property, a virtual inertia control application is needed. Considering the inertia emulation capabilities, insufficient emulation of inertia power due to the lower and short-term power of storage systems could significantly cause system instability and failure. To enhance such capability, this paper applies a virtual inertia control topology to the superconducting magnetic energy storage (SMES) technology. The SMES-based virtual inertia control system is implemented in a microgrid with renewables to emulate sufficient inertia power and maintain good system frequency stability. The efficacy and control performance of the proposed control method are compared with those of the traditional virtual inertia control system. Simulation results show that the shortage of system inertia due to renewable penetration is properly compensated by the proposed control method, improving system frequency stability and maintaining the robustness of system operations.

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Future Power Distribution Grids: Integration of Renewable Energy, Energy Storage, Electric Vehicles, Superconductor, and Magnetic Bus

Cited by 97 publications

References 29 publications

Research on Energy Storage Optimization for Large-Scale PV Power Stations under Given Long-Distance Delivery Mode

Research on Energy Storage Optimization for Large-Scale PV Power Stations under Given Long-Distance Delivery Mode

Integrating Hybrid Off-grid Systems with Battery Storage: Key Performance Indicators

Applying Virtual Inertia Control Topology to SMES System for Frequency Stability Improvement of Low-Inertia Microgrids Driven by High Renewables

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