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"Hosting Capacity Assessment Strategies and Reinforcement Learning Meth" by Jude Suchithra, Duane Robinson et al.

Increasing connection rates of rooftop photovoltaic (PV) systems to electricity distribution networks has become a major concern for the distribution network service providers (DNSPs) due to the inability of existing network infrastructure to accommodate high levels of PV penetration while maintaining voltage regulation and other operational requirements. The solution to this dilemma is to undertake a hosting capacity (HC) study to identify the maximum penetration limit of rooftop PV generation and take necessary actions to enhance the HC of the network. This paper presents a comprehensive review of two topics: HC assessment strategies and reinforcement learning (RL)-based coordinated voltage control schemes. In this paper, the RL-based coordinated voltage control schemes are identified as a means to enhance the HC of electricity distribution networks. RL-based algorithms have been widely used in many power system applications in recent years due to their precise, efficient and model-f ....

Artificial Neural Networks , Electricity Distribution Networks , Hosting Capacity , Photovoltaic Systems , Uasi Static Time Series , Reinforcement Learning , Voltage Control ,

"A Compensation Strategy for Mitigating Intermittencies Within a PV Pow" by Md Biplob Hossain, Md Rabiul Islam et al.

Solar PV intermittencies due to passing clouds with high ramp rates occurring for a short time produce a significant challenge to grid voltage and frequency regulations of a PV-rich microgrid. To compensate for these high ramp rates, battery and/or supercapacitors (SCs) are commonly employed using the control strategy based on a moving average (MA) or low pass filter (LPF). However, the traditional MA and LPF schemes suffer from memory and time lag effects, resulting in the need for increased storage size. To address these issues, this paper describes the design and implementation of a generic ramp-rate-based compensation strategy for smoothing the solar power output and meeting rapid load demands in grid-interactive microgrids using a hybrid multilevel storage system, consisting of high-capacity buffer storage such as battery system and hydrogen storage comprising a proton exchange membrane electrolyzer and a fuel cell, and short-term cache storage such as supercapacitors, integrated ....

Energy Storage , Fuel Cell , Igh Ramp Rate , Olar Pv , State Of Charge , Voltage Control ,

"An Investigation on the Integration of a Hybrid Offshore Wind-Wave Ene" by Safdar Rasool, Kashem M. Muttaqi et al.

This paper introduces the hybridization of multiple linear permanent magnet generator (LPMG)-based wave energy conversion systems with a doubly-fed induction generator (DFIG)-based wind energy conversion system. A detailed investigation of the impact of the integration of the wind-wave hybrid system with the distribution network is presented in this study. The control scheme for the multiple LPMGs ensures the optimum extraction of the wave power and the ability to maintain voltage balance at the outputs of the LPMGs. Similarly, the back-to-back converters of the DFIG are controlled for the maximum power point tracking of the wind turbine and the dc-link voltage regulation. The turbine rotor blade pitch angle is controlled to minimize the power fluctuations caused by the integration of LPMGs at the common DC bus. The time-domain simulation results confirm the effectiveness of the proposed system by showing a stable operation when integrated with the distribution test feeder. Finally, th ....

Distribution Network , Distribution Networks , Oubly Fed Induction Generators , Linear Generator , Voltage Control , Voltage Regulation , Save Energy , Wave Energy Conversion , Wind Turbines , Ind Wave Hybrid ,

"Event-triggered SMC-based FRT Approach for DFIG-based Wind Turbines Eq" by Md Nafiz Musarrat, Afef Fekih et al.

This paper proposes an event-triggered sliding mode control (SMC)-based fault ride through (FRT) strategy for doubly-fed-induction-generator (DFIG)-based wind turbines. An event-triggered SMC (ETSMC) approach is designed for a dynamic voltage restorer (DVR) with a high frequency isolated dc-dc converter. The aim is to regulate the stator terminal voltage by injecting appropriate voltage to regulate it near the reference point. Since the control signal in the event-triggered SMC is only updated when certain conditions are violated, the proposed approach results in reduced computational burden and channel bandwidth. Additionally, it reduces the chattering phenomena typically associated with SMC and reduces harmonic distortion. The ETSMC is augmented by a disturbance observer to further improve its robustness against mismatched uncertainties. The DVR topology considered in this paper utilizes high frequency isolation transformer, which dramatically reduces the costs associated with the re ....

Dynamic Voltage Restorer , Event Triggered Smc , Fault Ride Through , High Frequency Transformer , Wind Turbines , High Frequency , Voltage Control , Wind Energy ,