A5100329467- Optimal Power Flow Distribution
- Smart Grid Energy Management
- Microgrid Control and Optimization
- Integrated Energy Systems Optimization
- Power System Optimization and Stability
- Electric Power System Optimization
- Power System Reliability and Maintenance
- Power Systems and Renewable Energy
- Smart Grid Security and Resilience
- Advanced DC-DC Converters
- Multilevel Inverters and Converters
- Energy Load and Power Forecasting
- Infrastructure Resilience and Vulnerability Analysis
- Power Systems and Technologies
- High-Voltage Power Transmission Systems
- HVDC Systems and Fault Protection
- Smart Grid and Power Systems
- Industrial Technology and Control Systems
- Thermal Analysis in Power Transmission
- Wind Turbine Control Systems
- Silicon Carbide Semiconductor Technologies
- Electric Vehicles and Infrastructure
- Consumer Retail Behavior Studies
- Supply Chain and Inventory Management
- Consumer Market Behavior and Pricing
Hohai University
2012-2025
Shanghai Electric (China)
2008-2024
Sichuan Normal University
2000-2024
Sichuan Tourism University
2024
China Automotive Technology and Research Center
2021-2023
Nanjing University of Science and Technology
2020-2023
Electric Power University
2021-2023
Northeast Electric Power University
2021-2023
State Grid Corporation of China (China)
2018-2023
Xinjiang New Energy Research Institute (China)
2022-2023
Extreme weather events, many of which are climate change related, occurring with increasing frequency and intensity causing catastrophic outages, reminding the need to enhance resilience power systems. This paper proposes a proactive operation strategy system during an unfolding extreme event. The uncertain sequential transition states driven by evolution events is modeled as Markov process. At each decision epoch, topology used construct state. Transition probabilities evaluated according...
Growing penetration of renewable distributed generation, a major concern nowadays, has played critical role in distribution system operation. This paper develops state-based sequential network reconfiguration strategy by using Markov decision process (MDP) model with the objective minimizing generation curtailment and load shedding under operational constraints. Available power outputs generators topology each time are represented as states, which driven to other states next consideration...
A data-based Stackelberg market strategy for a distribution operator (DMO) is proposed to coordinate power dispatch among different virtual plants, i.e., demand response (DR) aggregators (DRAs). The has two-stage framework. In the first stage, data-driven method based on noisy inverse optimization estimates complicated price-response characteristics of customer loads. estimated load information DRAs delivered second where one-leader multiple-follower stochastic game formulated represent...
Because failures in distribution systems caused by extreme weather events directly result consumers' outages, this paper proposes a state-based decision-making model with the objective of mitigating loss load to improve system resilience throughout unfolding events. The topologies including on/off states feeder lines are modeled as Markov states, and probabilities from one state another determined component failure A recursive optimization based on decision processes (MDP) is developed make...
The increasing penetration of renewable generation presents challenges for system frequency regulation due to short-term power fluctuations and inertia reductions. This article a coordinated control strategy in which inverter air-conditioning (IAC) units are used perform primary (PFR) fixed (FFAC) secondary (SFR). In PFR, the is provided by adjusting setpoints IAC units. A random number method proposed stochastically trigger based on deviation real time. Furthermore, recovery presented...
With the increasing integration of uncertain resources, e.g., renewables, electric vehicles, and demand responses, it is imperative to understand characteristics loads for power system analysis control. Challenges load modeling come from a variety components time-varying compositions. In addition, existence outliers in measurements further complicates problem. This paper proposes robust parameter identification technique composite ZIP induction motor models. A batch-model regression form,...
An integrated energy system (IES) represents coordinated operations of constrained natural gas (NG), electric power, and thermal systems in three distinctly different time scales. Microturbines (MTs) are increasingly utilized IES as suppliers combined cooling, heating power (CCHP) units, which optimize the delivery usage interdependent NG, sectors a distributed IES. In this paper, dynamic model is proposed based on singular perturbation theory (SPT), denotes interactions systems. The...
This paper proposes a parameter identification technique for composite ZIP and electronic loads by leveraging the support vector machine (SVM) approach. Since active power reactive of are piecewise functions voltage magnitude, operating modes determined magnitude. To improve accuracy identification, two filters (Hampel Savitzky–Golay) employed to preprocess measurements reduce noise. The data after noise reduction serve as training regression model that is solved SVM Numerical results show...
To achieve higher accuracy of estimated dynamic states, phasor measurement unit (PMU) measurements buses in a network can be used for state estimation (DSE). However, it is difficult to coordinate the states boundary different areas when performing multiarea DSE. By using PMU network, this paper proposes an extended Kalman filter-based method with equality constraints conduct multi-area First, corrective strategy proposed estimate internal voltage (CIV) and rotor angle (CRA) each generator...
This paper proposes a voltage stability-constrained optimal power flow (VSC-OPF) model based on semidefinite programming (SDP) relaxation. The minimum singular value of the Jacobian is used as steady-state stability index, which incorporated into SDP formulation. To an ADP constraint for stability, auxiliary matrix constructed, and this can be reformulated function variable defined resulting SDP-based VSC-OPF formulated solved via solver SDPT3 toolbox YALMIP. Extensive simulations IEEE test...
The study takes 10 urban agglomerations in China as the research object, focusing on Chengdu-Chongqing agglomeration, and applies Data Envelopment Analysis (DEA) to measure compare their scientific input output efficiency of universities. First, this paper analyzes universities major provinces detail. Second, according construction principles indicator system, using qualitative interview construct evaluation indicators university efficiency. Third, DEA method, first analyze profile some...
This paper proposes a method to establish an optimal dynamic coordinated condition-based maintenance strategy that considers harsh external conditions, for example, weather conditions. Component deterioration is modeled as Markov process based on physical characteristics, with the effects of conditions represented probabilistic models. The proposed model involves interactions between different strategies various components, well influences operation entire system. are obtained by optimizing...
Considering the increased trend that power systems are closer to operating bounds because of demand and new challenges in consideration gas wind power, this paper investigates long-term voltage stability-constrained integrated electric system optimal scheduling energy integration. A sufficient condition, which is represented as an explicit function injected used constrain stability. Due bilinear terms tightening piecewise McCormick envelope relaxation convert it into convex constraints. The...
This paper proposes a dynamic game-based maintenance scheduling mechanism for the asset owners of natural gas grid and power by using bilevel approach. In upper level, schedule to maximize their own revenues. level is modeled as game problem, which solved backward induction algorithm. lower independent system operator dispatches minimize loss load in consideration operating conditions under plans from level. mixed integer linear programming problem. For model grid, piecewise approximation...
Reentrant lines are widely used in many manufacturing systems. In this paper, we present an iterative method to approximate the performance of reentrant with Bernoulli reliability model under last buffer first serve (LBFS) scheduling policy. Recursive procedure estimate production rates is developed. A case study automotive ignition component line washing operations introduced illustrate applicability method.
In the critical infrastructure domain, there exist two distinct players, i.e., attackers and defenders, with contradictory strategies to achieve their winnings. This paper proposes a game-theoretic approach capture plausible attack-defense dynamics for power transmission grids in controlled environment. The stratagems of defenders can be modeled unique attributes motives emergency responses. behaviors include observation disruptive actions that disturb operation while establish multiple...
The wide-spread integration of renewable energy sources has a great impact on the traditional distribution system. Considering many these are connected to synchronous alternating current (ac) grids via ac inverters with droop controllers, an equivalent model that fictitious voltage source given phasor is used represent inverter controllers. With model, sufficient condition based bus voltage/injected power and system admittance proposed analyze stress level distance solvability boundary flow...