- Electric Power System Optimization
- Optimal Power Flow Distribution
- Smart Grid Energy Management
- Energy Load and Power Forecasting
- Power System Optimization and Stability
- Advanced Optical Network Technologies
- Semiconductor Lasers and Optical Devices
- Optical Network Technologies
- Photonic and Optical Devices
- Power System Reliability and Maintenance
- Heat Transfer and Boiling Studies
- HVDC Systems and Fault Protection
- Integrated Energy Systems Optimization
- Software-Defined Networks and 5G
- Interconnection Networks and Systems
- Lightning and Electromagnetic Phenomena
- Thermal Analysis in Power Transmission
- Spacecraft and Cryogenic Technologies
- Power Systems and Renewable Energy
- Risk and Portfolio Optimization
- Smart Grid and Power Systems
- Advanced Photonic Communication Systems
- Heat Transfer and Optimization
- stochastic dynamics and bifurcation
- Optical and Acousto-Optic Technologies
United States Naval Research Laboratory
1997-2024
University of Washington Bothell
2022-2023
National Grid (United States)
2015-2017
University of Hong Kong
2006-2016
Hong Kong University of Science and Technology
2016
Alstom (United States)
2002-2015
Alstom (France)
2002-2015
Prince of Wales Hospital
1998-2013
Chinese University of Hong Kong
2004-2013
Hohai University
2013
The design concept and use of the power system toolbox (PST), a Matlab-based dynamics simulation control package, are discussed. motivation for developing package was to provide flexible environment teaching techniques concepts advanced undergraduate graduate students, students perform research development on systems. authors discuss capabilities PST software philosophy. Sample applications given. Some potential educational usage is suggested. future enhancement outlined.< <ETX...
Uncertainty in power systems operations has been traditionally managed by multistage decision making and operating reserve requirements. A familiar example of decisions is day-ahead unit commitment real-time economic dispatch. An alternate approach for managing uncertainty a stochastic formulation, which allows the explicit modeling sources uncertainty. This paper compares methods evaluates benefits combined efficient management problem. Numerical studies show that solutions obtained are...
Big data has potential to unlock novel groundbreaking opportunities in power grid that enhances a multitude of technical, social, and economic gains. As technologies evolve conjunction with measurement communication technologies, this results unprecedented amount heterogeneous big data. In particular, computational complexity, security, operational integration into system planning frameworks are the key challenges transform large dataset actionable outcomes. context, suitable analytics...
Photovoltaic (PV) electric power has been widely employed to satisfy rising energy demands because inexhaustible renewable is environmentally friendly. In order mitigate the impact caused by uncertainty of solar radiation in grid-connected PV systems, a hybrid method based on deep convolutional neural network (CNN) introduced for short-term forecasting. proposed method, different frequency components are first decomposed from historical time series through variational mode decomposition...
The deep interdependence between electrical and gas systems entails a potential threat to the security (or reliability) of both systems. It is imperative investigate impacts massive uncertainties on overall secure economical operation In this paper, probabilistic energy flow framework integrated initially proposed considering correlated varying demands wind power. Three aspects couplings are considered: gas-fired generators, electric-driven compressors, hubs with power (P2G) units....
Abstract Direct calorimetric measurements of a solid state passive switchable radiator for spacecraft thermal control have been performed in simulated space environment. Dynamic emissivity is provided by the thermochromic phase change multilayer VO 2 thin film based resonant absorber. The measured radiated power difference between 300 K and 373 was 480 W/m corresponding to 7× radiative cooling power. We present theoretical experimental values both normal hemispherical as well optical...
Short-term load forecasting at the distribution level predicts of substations, feeders, transformers, and possibly customers from half an hour to one week ahead. Effective is important for planning operation systems. The problem, however, difficult in view complicated features, large number distribution-level nodes, possible switching operations. In this paper, a new approach within hierarchical structure presented solve these difficulties. Load root node any user-defined subtree first...
Since the Federal Energy Regulatory Commission's (FERC) order no. 888 has mandated establishment of unbundled electricity markets in newly deregulated environment, competitive bidding ancillary services, along with energy, becomes increasingly important. In this paper, an optimization-based framework for solving a multi-commodity market dispatch problem is presented. compliance New England Power Pool (NEPOOL) Market Rules and Procedures, hybrid method which combines sequential joint proposed...
This paper presents the theoretical background and analytical methods developed for BC Hydro's on-line transient stability assessment (TSA) module. It concentrates on preprocessing modeling, analysis/margin calculation post processing techniques, architecture, hardware implementation are presented in a companion paper. TSA has been tested with thousands of cases using large scale detailed basecase derived analysis, sample tests this paper.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML"...
Increasing interactions between urban electrical and gas systems have the potential to transform smart grids into cities, where coordinated dispatch for interdependent infrastructure is desirable. This paper proposes an adaptive robust day-ahead energy-reserve co-optimization approach energy systems, in which real-time energy-balancing regulation are employed as first- second-stage decisions, respectively. By introducing auxiliary variable denote worst-case balancing cost, we trilevel...
Competitive bidding for ancillary services (A/S), in addition to energy, is increasingly recognized as an important part of electricity markets. In this paper, LP-based approach presented solving the multi-product (i.e. energy and A/S products), multi-zone/area physical market dispatch problem. The can explicitly represent various constraints, such reserve requirement network security limits, sharing constrained resource capacity (e.g. maximum unit generation) between reserve. joint method,...
The evolution toward the standardized market design (SMD) is presented in this paper with references to developments New Zealand, Australia, PJM, ISO-NE, and ERCOT. In development of designs, two main objectives-market liquidity facilitating bilateral trading pricing efficiency congestion management, have been pursued. efforts balance seemingly conflicting objectives led most markets designed a uniform or zonal model. Introduction locational marginal transmission rights from physical...
System reliability is an integral part of a properly designed deregulated electricity market, even though wholesale energy prices are its most visible piece. This paper discusses the resources, collectively known as ancillary services, in power system for maintaining reliability. It then integrated approach systematically determining and securing needed services configuration across multiple time spans, culminating cooptimization security-constrained generator unit commitment day-ahead...
Significant growth in gas-fired generator use has strengthened the interdependence between electrical power systems and natural gas systems. It is therefore imperative to analyze both jointly as an electricity-gas integrated energy system (IES). However, peak electricity demands, intermittent renewable- resource generation, severe contingencies can result unsolvable optimal flow (OEF). Unsolvable OEF poses a serious threat IES because secure operating condition unavailable without corrective...
Design considerations for low-threshold 1.5- mu m lasers using compressive-strained quantum wells are discussed. Parameters include transparency current density, maximum modal gain, bandgap wavelength, and carrier confinement. The optical confinement a thin well in the separate-confinement heterostructure (SCH) step graded-index (GRINSCH) analyzed compared. multiple- single-quantum-well have been fabricated characterized. As result of compressive strain, threshold density is loss limited...
This paper presents an application of a coordinated static VAr compensator (SVC) device as additional control for the reactive power (VAr) optimization problem and analyzes impact on system loss voltage profile. The SVC model controls internal, local, remote devices simultaneously. It has two modes operation: 1) voltage-control mode; 2) Q mode. functions implements them in practical systems. with minimization enhancement are also discussed by comparing it general well without model.
An optimal planning method for an integrated energy system (IES) considering electric vehicles (EVs) swapping station (SS) and carbon capture power (CCPS) is studied in this paper. Firstly, based on the analysis of EV load, model SS established. Then, we built models CCPS, other supply storage equipment IES. Based this, annual comprehensive cost regarded as optimization objective, a IES CCPS developed, solved by CPLEX. Finally, actual case was analyzed to verify feasibility effectiveness proposed
Electric vehicles (EVs) have the potential to provide valuable services utility grid through vehicle-to-grid (V2G). In order take full advantage of V2G aggregators are required schedule and dispatch large groups EVs in accordance market rules. While there has been many studies looking at aggregator scheduling algorithms, little work on algorithms for actual dispatch. A commonly assumed method incremental faces challenges more expensive charging station costs high communications overhead....
Rating of an overhead transmission line is defined as the maximum current that can safely carry without damaging conductor. This limit has been treated conventionally a constant under worst weather conditions. Dynamic rating (DLR) determined by real conditions surrounding Using DLR potential to increase and reduce congestion. Transmission lines are normally designed in sections consisting multiple spans. The problem thus difficult considering spatial nature capacities along well requirement...
This paper presents the development and implementation of an artificial neural network (ANN) based very short-term load forecasting (VSTLF) model for interim electricity market ISO New England (ISO-NE). The main outcome forecaster is 5-minute forecast internal system demand that will be used directly by 5-min real-time resource dispatch function in existing spot market. design ANN structure, selection training sets, raw data pre-processing, process itself as well validation testing are...