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Deep Reinforcement Learning for Microgrid Cost Optimization Considering Load Flexibility
This paper proposes a novel Soft-Actor-Critic (SAC) based Deep Reinforcement Learning (DRL) method for optimizing the cost of microgrid operation by leveraging load flexibility. The proposed SAC-DRL method is designed to coordinate the control of distributed energy resources (DERs...
Pei, Y. et al University of Connecticut
Dec 31, 2023
Modeling and Evaluating Beneficial Matches between Excess Renewable Power Generation and Non-Electric Heat Loads in Remote Alaska Microgrids
Develops a decision-making method to identify beneficial matches between excess renewable electricity and non-electric, dispatchable heat loads in remote Alaska microgrids. Uses HOMER Pro to model excess generation across multiple wind and solar build-out combinations and then qua...
Bolt, G. et al University of Alaska Fairbanks
Mar 24, 2022
Implementing Inertial Control for PMSG-WTG in Region 2 using Virtual Synchronous Generator with Multiple Virtual Rotating Masses
With the increasing integration of renewable energy, the problems associated with deteriorating grid frequency profile and potential power system instability have become more significant. In this paper, the inertial control algorithm using Virtual Synchronous Generator (VSG) is im...
Yan, W. et al University of Denver
Jul 31, 2019
Development of a Practical Secondary Control for Hardware Microgrids
Practical, vendor-agnostic interoperability guidelines for the secondary control architecture of microgrids (MGs) with multiple grid-forming (GFM) inverter-based resources (IBRs) have not yet been developed. Therefore, this paper proposes a generic and vendor-agnostic secondary co...
Chakraborty, S. et al NLR
Dec 31, 2024
Implementation of Advanced Grid Support Functionalities by Smart Operation of Residential Loads with low Cost Converter Interface
This paper investigates a grid-supportive load concept for small-scale residential appliances, focusing on a residential refrigerator. Power consumption is adjusted based on grid conditions to achieve IEEE-1547 grid support functions. Two key aspects are presented: a low-cost refr...
Roy Chowdhury, V. et al NLR
Dec 31, 2023
Study of Inverter Control Strategies on the Stability of Microgrids Toward 100% Renewable Penetration: Preprint
This paper investigates microgrid transient stability with mixed generation synchronous generator (SG), grid-forming (GFM) and grid-following (GFL) inverters under increasing penetration levels toward a 100% renewable generation microgrid. Specifically, the dynamics of a microgrid...
Wang, J. NLR
Jul 31, 2022
A Data-Driven Passive Islanding Detection Scheme
This paper proposes a novel statistical parameters based data driven approach for passive islanding detection. The proposed scheme relies in the voltage data, measured at the point of common coupling, and is comprised of three stages. The Stage-1 quickly detects what is termed as ...
Reddy, M. et al NLR
Dec 31, 2022
Dynamic Shaping of Grid Response of Multi-Machine Multi-Inverter Systems Through Grid-Forming IBRs: Preprint
We consider the problem of controlling the frequency response of weakly-coupled multi-machine multi-inverter low-inertia power systems via grid-forming inverter-based resources (IBRs). In contrast to existing methods, our approach relies on dividing the larger system into multiple...
Poolla, B. et al NLR
Jun 30, 2024
Transient Stability Study of a Real-World Microgrid with 100% Renewables
This paper performs a transient stability study of a real-world microgrid that can operate with 100% renewables to better understand the stability and reliability of the microgrid under various dynamic scenarios. In particular, the operation of multiple grid-forming (GFM) and grid...
Velaga, Y. et al NLR
Dec 31, 2021
Impact of Load Tap Changer Control Operation Under Microgrid Conditions
Every microgrid is unique in its diversity of assets, operation, and network structure. This uniqueness presents challenges for each microgrid implementation that need to be understood and addressed to prevent power quality concerns, stability issues, and blackouts. In this resear...
Prabakar, K. et al NLR
Dec 31, 2021
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