A5100779098- Optimal Power Flow Distribution
- Microgrid Control and Optimization
- Power System Optimization and Stability
- Energy Load and Power Forecasting
- Corporate Finance and Governance
- Smart Grid Energy Management
- Smart Grid Security and Resilience
- Optimization and Variational Analysis
- Advanced Battery Technologies Research
- Blind Source Separation Techniques
- Vehicle Routing Optimization Methods
- Electric Motor Design and Analysis
- Control Systems and Identification
- Chaos-based Image/Signal Encryption
- Energy Efficiency and Management
- Advanced Algorithms and Applications
- Advanced Sensor and Control Systems
- Advanced Technology in Applications
- Electric Vehicles and Infrastructure
- Fault Detection and Control Systems
- Robotic Mechanisms and Dynamics
- Advanced Optimization Algorithms Research
- Islanding Detection in Power Systems
- Injection Molding Process and Properties
- Auditing, Earnings Management, Governance
Shanghai Electric (China)
2024
Shandong University
2020-2023
Xidian University
2022
Shandong University of Science and Technology
2022
University of International Business and Economics
2021
Chongqing University of Posts and Telecommunications
2021
Tianjin University
2016
Air Force Engineering University
2009
Distribution power systems (DPSs) are generally unbalanced, and their loads may have notable static voltage characteristics (ZIP loads). Hence, although many papers focused on linear single-phase flow models, it is still necessary to study three-phase distribution models. This paper proposes a data-driven-aided model for DPSs. We first formulate how amalgamate data-driven techniques into equation establish our model. amalgamation makes independent of the assumptions commonly used in...
To limit the probability of unacceptable worst-case linearization errors that might yield risks for power system operations, this letter proposes a robust data-driven linear flow (RD-LPF) model. It applies to both transmission and distribution systems can achieve better robustness than recent models. The key idea is probabilistically constrain through distributionally chance-constrained programming. also allows guaranteeing accuracy chosen operating point. Comparison results with three LPF...
A hybrid ac/dc microgrid (MG) has the advantages of both ac and dc subgrids, operator should perform an accurate power flow analysis to ensure MG's operational economy reliability. This article proposes a Newton—Raphson (NR)-based sequential algorithm for MG. First, islanded operation mode three-phase unbalance feature subgrids are considered, droop control distributed generations participating in voltage frequency regulation is modeled. Then, algorithmic framework proposed handle coupling...
The maximum exponential square (MES) provides an effective method for robust state estimation. However, its estimation effect is greatly influenced by the window width. This letter first shows that it generally difficult to determine a proper width MES estimator priori. Then, enhanced proposed which determined bilevel simulation-hyperparameter optimization model. An efficient algorithm solve this Numerical tests demonstrate achieves superior performance compared of and other estimators both...
To adapt the data-driven linear power flow (DD-LPF) model for online dispatch in systems, especially when size of historical samples or system scale are relatively large, this article proposes an LPF construction method. First, raw measurements filtered to suppress adverse impact measurement noise and outliers. Then, adaptive moment estimation-based distributed stochastic gradient descent (Adam-DSGD) method is utilized improve solution efficiency DD-LPF parameters. Considering features a...
When wave generation system works in the grid connected condition, randomness and intermittence of energy at different time scales have a serious impact on power grid. In addition, scheduling ability also needs to improve. order solve these problems, type hybrid storage (HESS) based flywheel-battery topology is proposed this paper. According characteristics flywheel (FESS) battery (BESS), charge & discharge control strategies are adopted respectively. The controller (HESC) designed HESS, it...
To improve the primary droop control performance under variable load conditions in isolated microgrid, this paper proposes a safety-constrained stagewise optimization method for P/f and Q/V parameters. In first stage, these parameters are determined through look-ahead distributionally robust so that they against general uncertain conditions. avoid excessive pursuit of robustness at expense economic benefits, second third stages responsible addressing accidental extreme disturbances lead to...
A hybrid ac/dc microgrid combines advantages of both subgrids. This paper proposes a sequence component based power flow algorithm for microgrid. In the modeling section, models system components are established considering their unbalanced features. Droop control is applied to distributed generation units maintain frequency and voltage an islanded our proposed approach decomposes problem into two subproblems which easy solve sequentially. First, ac subgrid solved through modified...
The size effect is mainly observed when firm measured by stock market value and absent firm's total asset, book equity, or revenue. We argue that if the profitability shocks are neutralized on cross section, Chinese equity shows a significant in ex ante expected returns no matter how measured. Moreover, premium indeed larger than those other variables. provide evidences factor ( HML ) short‐term reversal LMW can moderate this extra premium.
To balance the construction computational efficiency and linearization accuracy of data-driven linear power flow (DD-LPF) models, this paper provides two fast computation methods to resolve technical issues. First, for issue slow unknown LPF model parameters resulting from large scale historical data, suggests employing a distributed stochastic gradient descent (DSGD)-based method solve problem in parallel mode, rather than batch way. Second, online applications, improve maintain high...
A new neural network is proposed to solve the second-order cone constrained variational inequality (SOCCVI) problems. Instead of smoothed Fishcer-Burmeister function, a smooth regularized Chen-Harker-Kanzow-Smale (CHKS) function used handle relevant complementarity conditions. By using approach based on CHKS KKT conditions corresponding SOCCVI are solved. Some stability properties can be verified by Lyapunov method. When parameters different, achieved convergence speed will also vary....
Abstract Hot extrusion forming is widely used to process lightweight parts in automobile, aircraft manufacturing, and subway industry. However, hot an energy-intensive with high environmental emissions. Because a complex thermal-mechanical coupling process, it difficult develop its energy consumption prediction model based on the mechanism. With increasing application of data intelligent acquisition, this paper proposed fusion integrating bagging enhanced ELM (Extreme Learning Machine) GPR...
With the development of society and technology, more people are choosing to travel as a way relax after work, making itinerary planning is very important issue. Twenty-nine scenic spots in Yangtze River Delta region were selected study objects, time was set for route planning. The obtained three scenarios: considering only time, price, both price. problem transformed into TSP with conditional constraints, optimal routes expenses scenarios using simulated annealing algorithm..