A5076167872- Optimal Power Flow Distribution
- Smart Grid Energy Management
- Microgrid Control and Optimization
- Power System Optimization and Stability
- Electric Power System Optimization
- Power System Reliability and Maintenance
- Energy Load and Power Forecasting
- Smart Grid Security and Resilience
- Integrated Energy Systems Optimization
- HVDC Systems and Fault Protection
- Power Systems Fault Detection
- Power Systems and Renewable Energy
- Electric Vehicles and Infrastructure
- Frequency Control in Power Systems
- Wind Turbine Control Systems
- Building Energy and Comfort Optimization
- Islanding Detection in Power Systems
- Power Systems and Technologies
- Real-time simulation and control systems
- Energy Efficiency and Management
- Smart Grid and Power Systems
- High-Voltage Power Transmission Systems
- Infrastructure Resilience and Vulnerability Analysis
- Hybrid Renewable Energy Systems
- Thermal Analysis in Power Transmission
University of Tennessee at Knoxville
2016-2025
Oak Ridge National Laboratory
2006-2024
Institute of High Energy Physics
2024
Nanjing University
2024
Xi'an Jiaotong University
2024
Chinese Academy of Sciences
2008-2024
China Medical University
2024
Fourth Affiliated Hospital of China Medical University
2024
Knoxville College
2014-2023
North China Electric Power University
2023
A modern power grid needs to become smarter in order provide an affordable, reliable, and sustainable supply of electricity. For these reasons, considerable activity has been carried out the United States Europe formulate promote a vision for development future smart grids. However, majority activities emphasized only distribution demand side leaving big picture transmission context grids unclear. This paper presents unique which their major features are identified. In this vision, each is...
The locational marginal pricing (LMP) methodology has become the dominant approach in power markets. Moreover, dc optimal flow (DCOPF) model been applied industry to calculate prices (LMPs), especially market simulation and planning owing its robustness speed. In this paper, first, an iterative DCOPF-based algorithm is presented with fictitious nodal demand (FND) LMP. three features: employed address nonlinear loss; FND proposed eliminate large mismatch at reference bus if not applied;...
In this paper, a day-ahead market-clearing model for smart distribution systems is proposed. Various types of distributed energy resources (DERs), such as storage, generators, microgrids, and load aggregators, can bid into the distribution-level electricity market. Considering system Volt/VAR control, network reconfiguration, interactions with wholesale market, an optimization built to clear through which locational marginal pricing (DLMPs) both active power reactive are determined. Through...
The microgrid concept allows small distributed energy resources (DERs) to act in a coordinated manner provide necessary amount of active power and ancillary service when required. This paper proposes an approach integrated control solar PV generators with the maximum point tracking (MPPT) battery storage voltage frequency (V-f) support islanded microgrid. Also, nonactive/reactive (P-Q) PV, MPPT is proposed for grid connected mode. strategies show effective coordination between inverter V-f...
This paper proposes a vision of next-generation monitoring, analysis, and control functions for tomorrow's smart power system centers. The first reviews the present center technology then presents functions. also identifies infrastructure gaps that must be filled, develops roadmap to realize proposed vision. is expected critical part future transmission grid.
The locational marginal price (LMP) methodology has been discussed for distribution networks/systems under the smart grid initiative. In this paper, a new LMP (DLMP) formulation is presented which includes reactive power prices and voltage constraints. To solve DLMP, three modeling tools, namely, linearized flow (LPF-D), loss factors (LF-D), linear optimal (LOPF-D) are proposed. LPF-D solves not only angles but also magnitudes through expression between bus injections voltages, specifically...
Large blackouts are typically caused by cascading failure propagating through a power system means of variety processes. Because the wide range time scales, multiple interacting processes, and huge number possible interactions, simulation analysis is extremely complicated. This paper defines for gives an initial review current understanding, industrial tools, challenges emerging methods simulation.
In this paper, an intelligent multi-microgrid (MMG) energy management method is proposed based on deep neural network (DNN) and model-free reinforcement learning (RL) techniques. the studied problem, multiple microgrids are connected to a main distribution system they purchase power from maintain local consumption. From perspective of operator (DSO), target decrease demand-side peak-to-average ratio (PAR), maximize profit selling energy. To protect user privacy, DSO learns MMG response by...
The smart grid initiative and electricity market operation drive the development known as demand-side management or controllable load. Home energy has received increasing interest due to significant amount of loads in residential sector. This paper presents a hardware design home system (SHEMS) with applications communication, sensing technology, machine learning algorithm. With proposed design, consumers can easily achieve real-time, price-responsive control strategy for such electrical...
The system frequency response (SFR) model describes the average network after a disturbance and has been applied to wide variety of dynamic studies. However, traditional literature does not provide generic, analytical method for obtaining SFR parameters when contains multiple generators; instead, numerical simulation-based approach or operators' experience is common practice obtain an aggregated model. In this paper, proposed aggregating multi-machine into single-machine verification study...
This paper proposes a reward based demand response algorithm for residential customers to shave network peaks. Customer survey information is used calculate various criteria indices reflecting their priority and flexibility. Criteria sensitivity house ranking appropriate load selection in the feeder response. Rewards (CR) are paid on shift voltage improvement due adjustment. The proposed can be deployed distribution networks using two-level hierarchical control scheme. Realistic model...
This paper proposes a method for coordinated sizing of energy storage (ES) and diesel generators in an isolated microgrid based on discrete Fourier transform (DFT). ES have different response characteristics can complementarily compensate the generation-demand imbalance at time scales. The DFT-based dispatch strategy allocates balance power between two components through frequency-time domain transform. proposed ensures that work their respective most efficient, fit way. Diesel consecutively...
Under the global trend of renewable energy development, various advanced techniques such as forecasting algorithm, intelligent computation, and optimal control are expected to make complex uncertain system stable profitable in near future. This paper presents a new strategy for large-scale wind conversion systems achieve balance between power output maximization operating cost minimization. First, an maximum point tracking (IMPPT) algorithm is proposed that short-term speed prediction,...
With the growing development in demand response, load serving entities (LSEs) may participate electricity market as strategic bidders by offering coupon-based response (C-DR) programs to customers. However, due customers' versatile consumption patterns under C-DR well increasing penetration of wind power generation, obtaining deterministic bidding decision becomes unprecedented complex for LSEs. To address this challenge, a new model an LSE is proposed which primary objective maximize LSE's...
This paper proposes a variable coefficient combined virtual inertia and primary frequency control strategy for doubly fed induction generators (DFIG) in coordination with diesel generator to participate wind/photovoltaic/diesel microgrid regulation. The response characteristic is analyzed under different wind speeds corresponding parameters different. A 10% power margin preserved through overspeed pitch angle offset the decrease of output after temporary extra surge, provide permanent...
Multi-microgrid formation (MMGF) is a promising solution for enhancing power system resilience. This paper proposes new deep reinforcement learning (RL) based model-free on-line dynamic MMGF scheme. The problem formulated as Markov decision process, and complete RL framework specially designed the topology-transformable micro-grids. In order to reduce large action space caused by flexible switch operations, topology transformation method proposed an action-decoupling Q-value applied. Then,...
The key of reactive power planning (RPP), or Var planning, is the optimal allocation sources considering location and size. Traditionally, locations for placing new were either simply estimated directly assumed. Recent research works have presented some rigorous optimization-based methods in RPP. This paper will first review various objectives may consider many cost functions such as variable cost, fixed real losses, fuel cost. Also considered be deviation a given voltage schedule, stability...
This paper focuses on the super/subsynchronous operation of doubly fed induction generator (DFIG) system. The impact a damping controller different modes for DFIG-based wind generation system is investigated. coordinated tuning to enhance oscillatory using bacteria foraging technique presented. results from eigenvalue analysis are presented elucidate effectiveness tuned in DFIG robustness issue also
In power market studies, the forecast of locational marginal price (LMP) relies on load forecasting results from viewpoint planning. It is well known that short-term always carry certain degree errors mainly due to random nature load. At same time, LMP step changes occur at critical levels (CLLs). Therefore, it interesting investigate impact uncertainty LMP. With assumption a probability distribution actual load, this paper proposes concept probabilistic and formulates mass function...