A5070235175- Microgrid Control and Optimization
- Smart Grid Energy Management
- Optimal Power Flow Distribution
- Wind Turbine Control Systems
- Real-time simulation and control systems
- Power Systems and Renewable Energy
- Power System Optimization and Stability
- Energy Load and Power Forecasting
- Frequency Control in Power Systems
- Islanding Detection in Power Systems
- Multilevel Inverters and Converters
- Photovoltaic System Optimization Techniques
- Power Quality and Harmonics
- Distributed and Parallel Computing Systems
- Smart Grid Security and Resilience
- Advanced Control Systems Optimization
- Advanced Battery Technologies Research
- Structural Health Monitoring Techniques
- Cloud Computing and Resource Management
- Advanced Combustion Engine Technologies
- Advanced Data Storage Technologies
- Vibration and Dynamic Analysis
- Power Systems and Technologies
- Silicon Carbide Semiconductor Technologies
- Adaptive Dynamic Programming Control
Sandia National Laboratories
2021-2025
Sandia National Laboratories California
2021-2024
South Dakota State University
2015-2021
This document is a summary of report prepared by the IEEE PES Task Force (TF) on Microgrid Stability Definitions, Analysis, and Modeling, Power Energy Society, Piscataway, NJ, USA, Tech. Rep. PES-TR66, Apr. 2018, which defines concepts identifies relevant issues related to stability in microgrids. In this paper, definitions classification microgrid are presented discussed, considering pertinent features such as voltage-frequency dependence, unbalancing, low inertia, generation intermittency....
The modern power system is progressing from a synchronous machine-based towards an inverter-dominated system, with large-scale penetration of renewable energy sources (RESs) like wind and photovoltaics. RES units today represent major share the generation, traditional approach integrating them as grid following can lead to frequency instability. Many researchers have pointed using inverters virtual inertia control algorithms so that they appear generators grid, maintaining enhancing...
In this paper, we review the emerging challenges and research opportunities for voltage control in smart grids. For transmission grids, accommodating wind solar power, fault-induced delayed recovery, measurement-based Thévenin equivalent stability analysis are reviewed. distribution impact of high penetration distributed energy resources is analyzed, typical strategies reviewed, local inverter Volt-Var discussed. addition, motivation, state-of-the-art, future directions coordination system...
Transient stability of photovoltaic-hydro microgrid systems is poor due to lack inertia and the intermittent nature photovoltaic systems. The such can be improved by using virtual synchronous machines which add into system allow for higher PV penetration without losing stability. A PV-hydro was simulated in MATLAB/Simulink analyze transient problems fluctuations and/or load or generation changes. Virtual machine added reduced frequency deviations high rate change frequency. results indicate...
Modern data centers consume large amounts of electricity, resulting in high operational costs. The efficiency a center power distribution system can be increased and the cost reduced if number conversion stages minimized more efficient converters, such as wide bandgap are used. This achieved by using dc voltage at rack level eliminating extra stages. In this paper, benchmarks for both ac 380-V were developed analyses performed an entire year. impact integrating photovoltaic (PV) systems into...
With the increase in penetration of renewable energy sources (RES), traditional inertia estimation techniques based purely on number online synchronous generators are increasingly unsuitable, ultimately leading towards suboptimal frequency control electric power grid. The stochastic nature RES additionally makes system a time-varying quantity. Furthermore, and inertial response systems change drastically multiarea with interconnected tie-lines. Hence, it is important for state/parameter...
The lack of inertial response from non-synchronous, inverter-based generation in microgrids makes the power system vulnerable to a large rate change frequency (ROCOF) and excursions. Energy storage systems (ESSs) can be utilized provide fast-frequency support prevent such excursions system. However, is power-intensive application that has significant impact on ESS lifetime. In this paper, framework allows operator as service proposed. maintains desired quality-of-service (limiting ROCOF...
In isolated power systems with low rotational inertia, fast-frequency control strategies are required to maintain frequency stability. Furthermore, limited resources in such systems, the deployed have provide flexibility handle operational constraints so controller is optimal from a technical as well an economical point-of-view. this paper, model predictive (MPC) approach proposed stability of these inertia microgrids. Given system, MPC computes actions by recursively solving finite-horizon,...
The rapid transition towards an inverter-dominated power system has reduced the inertial response capability of modern systems. As a solution, inverters are equipped with control strategies, which can emulate inertia by exchanging grid based on frequency changes. This paper discusses various current techniques for application in these systems, known as virtual Some classic like proportional-integral, proportional-resonant, and hysteresis presented first, followed design discussion two more...
Due to fast responses and low inertia in photovoltaic systems, frequency stability problems arise grids with large systems. Virtual can be added by using energy storage systems power electronics converters proper control algorithm called virtual synchronous machines. A machine consumes from the emulate inertia. This paper proposes a novel technique reduce consumption of machines an online supplementary adaptive dynamic programming learning controller. controller supplements performance...
The displacement of rotational generation and the consequent reduction in system inertia is expected to have major stability reliability impacts on modern power systems. Fast-frequency support strategies using energy storage systems (ESSs) can be deployed maintain inertial response system, but information regarding critical for effective implementation such control strategies. In this paper, a moving horizon estimation (MHE)-based approach online constant low microgrids presented. Based...
Distributed generation based neighborhood microgrids are gaining popularity because of their ability to generate power locally at high efficiencies. However, it is difficult analyze the efficiency these systems random usage patterns household appliances. This paper proposes a stochastic technique estimate load profiles using Poisson process and Queue theory for small community-based microgrid. Using estimated profiles, system each community evaluated two different microgrid topologies: AC DC...
Energy storage systems (ESSs) can provide fast-frequency support to keep frequency variation in lower-inertia mi-crogrids within allowable bounds. Model-based control strategies like model predictive (MPC), are efficient ways enable ESSs. However, the efficacy of these depends upon accuracy underlying model. Previous research has commonly utilized simplified equiva-lent generator models power systems. such become insufficient as system operating conditions and dynamics change over time...
Nonlinear loads in the power distribution system cause non-sinusoidal currents and voltages with harmonic components. Shunt active filters (SAF) current controlled voltage source inverters (CCVSI) are usually used to obtain balanced sinusoidal by injecting compensation currents. However, CCVSI traditional controllers have a limited transient steady state performance. In this paper, we propose an adaptive dynamic programming (ADP) controller online learning capability improve response...
Increasing installation of renewable energy resources makes the power system inertia a time-varying quantity. Furthermore, converter-dominated grids have different dynamics compared to conventional and therefore estimates constant using existing dynamic models are unsuitable. In this paper, novel estimation technique based on convolutional neural networks that use local frequency measurements is proposed. The model uses non-intrusive excitation signal perturb measure phase-locked loop....
The increase in the penetration of photovoltaics (PVs) and wind energy resources has decreased inertia power systems made them inverter-based. This makes modern grid susceptible to frequency instability when facing generation-load imbalances. In this paper, we provide an overview changing trends response control strategies under high renewable penetrations. Virtual emulation through Energy Storage Systems (ESSs), which have fast-ramping capabilities, is reviewed as a potential solution...
A significant amount of converter-based generation is being integrated into the bulk electric power grid to fulfill future demand through renewable energy sources, such as wind and photovoltaic. The dynamics converter systems in overall stability system can no longer be neglected past. Numerous efforts have been made literature derive detailed dynamic models, but using models becomes complicated computationally prohibitive large level studies. In this paper, we use a data-driven, black-box...
Various current control techniques for implementation in virtual synchronous machines (VSM) are compared. MATLAB\Simulink simulations performed different approaches like the proportional-integral control, proportional-resonant and hysteresis to output of a grid connected inverter. The compared on basis steady state error produced, transient performance, harmonics content hardware aspects. was found be zero all techniques. Proportional-integral technique showed good harmonic rejection with...
This paper investigates the design of low-level probing signals for accurate estimation inertia and damping constants in microgrids. Increasing utilization renewable energy sources their different dynamics has created unknowns time-varying system constants. Thus, it is difficult to know these parameters at any given time converter-dominated describes characteristics, considerations, methodology, accuracy level determining unknown a system. The main goal this find an effective signal with...
Dynamic state and parameter estimation in current future power systems are critical for advanced monitoring, control, protection. There numerous methods to perform dynamic estimation; this paper compares the accuracy computational time of four (i.e., Kalman filter (KF), extended (EKF), unscented (UKF), moving horizon (MHE)) designed estimate states parameters frequency dynamics a system. A simulation study was conducted using Matlab/Simulink by introducing Gaussian non-Gaussian noise...
Grid technologies connected via power electronic converter (PEC) interfaces increasingly include the grid support functions for voltage and frequency defined by IEEE 1547-2018 standard. The shift towards converter-based generation necessitates accurate PEC models assessing system dynamics that were previously ignored in conventional systems. In this paper, a method photovoltaic (PV) inverter using data-driven technique with hardware-in-the-loop is presented. modeling uses various probing...
The dynamic frequency stability issues in microgrids with large penetration of low inertia and intermittent photovoltaic (PV) systems can be improved by using virtual (VI). A VI is the combination energy storage system, power electronics converter a proper control algorithm. This paper presents design experimental verification PV-diesel generator based remote microgrid system. Firstly, was designed tested simulation MATLAB/Simulink. Later, hardware prototype 1 kW inverter for 13 diesel test...
Fast-frequency control strategies have been proposed in the literature to maintain inertial response of electric generation and help with frequency regulation system. However, it is challenging deploy such when inertia constant system unknown time-varying. In this paper, we present a data-driven identification approach for an energy storage (ESS) operator identify (and consequently constant). The method first tested validated simulated genset model using small changes load as excitation...