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  4. Enhanced Frequency Regulation in Remote Area Power Supply Systems Using Multilevel Energy Storage
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Category: MTech Power Systems Projects
By MTech Projects
MTech Projects
16.Nov
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Enhanced Frequency Regulation in Remote Area Power Supply Systems Using Multilevel Energy Storage

PROJECT TITLE :

Enhanced Frequency Regulation Using Multilevel Energy Storage in Remote Area Power Supply Systems

ABSTRACT:

RAPS systems with a high percentage of renewable power generation require frequency assistance from renewable power generators in order to maintain a stable frequency. A permanent magnet synchronous generator (PMSG) cannot participate in frequency management because of traditional control tactics and the random nature of wind resources. Ultracapacitors (UC) and lead-acid batteries (LABs) are proposed to be used as hybrid energy storage in a PMSG in order to offer frequency support. Conventional inertial response is emulated by the UCs, while automatic governor reaction is mimicked by the LABs (i.e., primary frequency response). System frequency can be restored utilising mechanical power saved in wind turbines using a suboptimal maximum power point tracking approach (i.e., secondary frequency response). Control measures that can aid primary and secondary frequency response are also provided for both the UCs and LABs. The frequency response given by the multilevel energy storage has been validated through simulation and experimental testing. In order to maintain the RAPS system frequency while preventing frequent charging and discharging of the LABs and substantial mechanical/electromagnetic stress on the WECS, a multi-level energy storage solution is necessary.

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Previous article: Voltage Regulation in Distribution Networks with Fast Distributed Reactive Power Control Voltage Regulation in Distribution Networks with Fast Distributed Reactive Power Control Next article: Smart Grid Stability Prediction Using Sliding-Window-Based Real-Time Model Order Reduction Smart Grid Stability Prediction Using Sliding-Window-Based Real-Time Model Order Reduction
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