- Smart Grid Energy Management
- Optimal Power Flow Distribution
- Microgrid Control and Optimization
- Electric Power System Optimization
- Power System Optimization and Stability
- Advanced Adaptive Filtering Techniques
- Power System Reliability and Maintenance
- Blind Source Separation Techniques
- Dam Engineering and Safety
- Concrete and Cement Materials Research
- Integrated Energy Systems Optimization
- Speech and Audio Processing
- Power Systems and Renewable Energy
- Electric Vehicles and Infrastructure
- Soil, Finite Element Methods
- Building Energy and Comfort Optimization
- Asphalt Pavement Performance Evaluation
- Lightning and Electromagnetic Phenomena
- Thermal Analysis in Power Transmission
- Advanced Electrical Measurement Techniques
- Industrial Technology and Control Systems
- Advanced Measurement and Detection Methods
- Advanced Frequency and Time Standards
- Business Process Modeling and Analysis
- Energy Load and Power Forecasting
China Academy of Space Technology
2024
Changsha University of Science and Technology
2024
University of Tennessee at Knoxville
2017-2022
Xi'an University of Technology
2019-2022
State Grid Corporation of China (China)
2022
China XD Group (China)
2022
University of Denver
2015
For effective engagement of residential demand-side resources and to ensure efficient operation distribution networks, we must overcome the challenges controlling coordinating components devices at scale. In this paper, present a distributed scalable algorithm with three-level hierarchical information exchange architecture for managing demand response programs. First, centralized optimization model is formulated maximize community social welfare. Then, solved in manner alternating direction...
The implementations of residential demand response (DR) based on heating, ventilation, and air conditioning (HVAC) are inseparable from effective control algorithms for coordinating the operating schedules multiple HVAC devices. In this work, both model-based data-driven strategies developed to determine optimal actions systems. objectives minimize customers' electricity costs, discomfort, utility-level load violation. approach, a thermal resistance-capacitance (RC) model is formulated...
In deregulated electricity markets, available transfer capability (ATC) provides valuable information for market participants, because ATC indicates the remaining amount of power that can be transferred between different areas over already committed capacity. Under paradigm renewable with uncertainty, it is reasonable to apply probabilistic evaluation. However, distribution uncertainty not always readily available. this paper, an interval optimizationbased model proposed evaluation only...
This paper presents a comprehensive scheduling framework for residential demand response (DR) programs considering both the day-ahead and real-time electricity markets. In first stage, customers determine operating status of their responsive devices such as heating, ventilation, air conditioning (HVAC) systems electric water heaters (EWHs), while distribution system operator (DSO) computes amount to be purchased in market. second DSO purchases insufficient (or sells surplus) market maintain...
This paper proposes a coalitional operation model for multi-microgrid within the distribution system to achieve higher economy. Motivated by cooperative game theory, number of individual microgrids are treated as one grand coalition, and is scheduled via centralized economic dispatch approach with aim minimizing global cost. Furthermore, given independence autonomy local microgrid operators, total cost fairly allocated among operators based on concept core solution game. Case studies...
Integration of large scale wind power is both economical and environmentally-friendly. However, stochasticity intermittency bring new challenges to frequency stability issue the system. The regulation capacity limitation system one most important reasons limiting integration power. output energy storage (ESS) can be regulated very rapidly. Hence, it feasible effective for ESS participate in regulation. This will increase overall thus helps accommodating more integrated into grid. A novel...
In order to apply RAP fine aggregate High Modulus Asphalt Concrete(HMAC), this study first extracts aged asphalt from through extraction and distillation, adds it high modulus modified in proportions of 20%, 40%, 60%, 80%. The performance changes the recycled were investigated using conventional tests dynamic shear rheological (DSR). Microscopic techniques such as four‐component analysis infrared spectroscopy employed explain macroscopic terms component functional group asphalt. Using...
The implementation of large-scale optimization and control residential appliances to support demand response (DR) programs comes with the challenges coordinated communication, privacy, consideration customer preferences. Solving this complexity is best suited through a distributed approach at level by leveraging availability intelligence home energy management systems (HEMS). In paper, hierarchical scheme coordinate coordination HEMs proposed. This based on exchange reward price aggregated...
Harmonic and neutral current can lead to additional heating of a concentric cable. With the increasing number non-linear loads integrated distribution system, it has been critical issue in power system planning about how determine cable ampacity. However, there is no sufficient study on estimation overloading factor (COF) underground In addition, old standards ampacity are based fundamental current. this paper, an analytical method proposed for calculating long-distance cables with MGN...
Power grid expansion, load demand increase, and renewable energy integration all present severe challenges to the operations. As transmission networks become increasingly stressed, research on voltage stability analysis (VSA) has attracted widespread attentions. Voltage instability usually occurs within a short period, which makes it difficult be detected. To assess margin, P-V curve method been widely used for years. However, this approach is only effective when power factor or reactive...
This paper investigates the impact of price-based demand response (DR) programs on available transfer capability (ATC) in deregulated electricity markets. A bi-level optimization model which considers both interests load serving entities (LSE) and independent system operators (ISO), has been established. The upper level proposed selects DR participants by minimizing compensation cost power purchasing cost, while lower conducts economic dispatch determines locational marginal prices (LMP)....
To effectively engage demand-side and distributed energy resources (DERs) for dynamically maintaining the electric power balance, challenges of controlling coordinating building equipment DERs on a large scale must be overcome. Although several control techniques have been proposed in literature, significant obstacle to applying these practice is having access an effective testing platform. Performing tests at using real impractical, so simulation offers only viable route developmental...
This paper presents a spectrum analysis-based method to calculate the optimal sizing and operation strategy for hybrid energy storage system (HESS) combining batteries (BT) supercapacitors (SC) integrate high penetrations of wind power into grid. BTs SCs have different response times densities, which can be used complementarily compensate generation-demand imbalance. In this paper, unbalanced is first converted from time domain frequency by discrete Fourier transform (DFT). Then upper lower...
Significant increases in renewable uptake at the distribution system level, especially solar photovoltaics (PV), can bring about operational challenges for active network (ADN) operators. These primarily stem from uncertainty inherent injections and result dispatch cost risks. Further comes form of available demand response or dispatchable load. Interval analysis optimization is a robust problem-solving decision-making technique that effectively handles parametric uncertainties. In this...
Demand-side management is a fundamental up-to-date strategy that transforms the traditional power grid to modern smart where flexible pricing mechanisms play critical role in its successful implementation. In this paper, pricing-demand response between distribution system operator (DSO) and load aggregators (LAs) modeled as Stackelberg game, DSO price maker adjusts based on observed responses from LAs. With concerns of computational cost privacy protection, two distributed solution...
Abstract Grid integration of the increasing distributed energy resources could be challenging in terms new infrastructure investment, power grid stability, etc. To resolve more renewables locally and reduce need for extensive electricity transmission, a community transaction market is assumed with operator as leader whose responsibility to generate local prices clear payment among prosumers (followers). The multi-followers have competitive objectives revenue maximization operational cost...
Voltage security region (VSR) is a powerful tool for monitoring the voltage in bulk power grids with high penetration of renewables. It can prevent cascading failures wind integration areas caused by serious over or low problems. The bottlenecks VSR practical applications are computational efficiency and accuracy. To bridge these gaps, general optimization model tracking boundary (VSRB) developed this paper accordance topological characteristics VSRB. First, initial VSRB point on explored...
The concept and inherent challenges associated with the development of a resilient, affordable, high quality integrated power generation, energy management rapid recovery emergency response (RR&ER) capability for providing electrical sustained life support operations during disruptions is focus this paper. Presently, small-scale mobile backup HI-RES are expensive used primarily military operations. As recent headlines in news point us towards potential threats on our infrastructure, it...