- Smart Grid Energy Management
- Microgrid Control and Optimization
- Building Energy and Comfort Optimization
- Electric Vehicles and Infrastructure
- Power System Optimization and Stability
- Optimal Power Flow Distribution
- Power Systems and Renewable Energy
- Advanced Control Systems Optimization
- Underwater Vehicles and Communication Systems
- Smart Grid Security and Resilience
- Energy Efficient Wireless Sensor Networks
- Frequency Control in Power Systems
- Integrated Energy Systems Optimization
- Advanced Battery Technologies Research
- Geothermal Energy Systems and Applications
- Gene Regulatory Network Analysis
- Indoor and Outdoor Localization Technologies
- Energy Harvesting in Wireless Networks
- Smart Grid and Power Systems
- Neural dynamics and brain function
- Distributed Sensor Networks and Detection Algorithms
- Context-Aware Activity Recognition Systems
- Power Systems and Technologies
- Energy Load and Power Forecasting
- RFID technology advancements
China Southern Power Grid (China)
2023
Harvard University
2016-2017
Harvard University Press
2017
Applied Mathematics (United States)
2017
University of California, Los Angeles
2013-2016
Smart Electric Grid (United States)
2016
U.S. Green Building Council
2016
University of British Columbia
2010-2013
Energy management in microgrids is typically formulated as a nonlinear optimization problem. Solving it centralized manner does not only require high computational capabilities at the microgrid central controller (MGCC), but may also infringe customer privacy. Existing distributed approaches, on other hand, assume that all generations and loads are connected to one bus, ignore underlying power distribution network associated flow system operational constraints. Consequently, schedules...
Energy management in microgrids is typically formulated as an offline optimization problem for day-ahead scheduling by previous studies. Most of these approaches assume perfect forecasting the renewables, demands, and market, which difficult to achieve practice. Existing online algorithms, on other hand, oversimplify microgrid model only considering aggregate supply-demand balance while omitting underlying power distribution network associated flow system operational constraints....
Demand response (DR) enables customers to adjust their electricity usage balance supply and demand. Most previous works on DR consider the supply-demand matching in an abstract way without taking into account underlying power distribution network associated flow system operational constraints. As a result, schemes proposed by those may end up with consumption/shedding decisions that violate constraints thus are not feasible. In this paper, we study residential consideration of We formulate...
The vehicle-to-grid (V2G) system enables energy flow from the electric vehicles (EVs) to grid. distributed power of EVs can either be sold grid or used provide frequency regulation service when V2G is implemented. A control algorithm necessary decide whether EV should charged, discharged, in each hour. problem further complicated by price uncertainty, where electricity determined dynamically every In this paper, we study real-time under uncertainty. We model as a Markov chain with unknown...
A microgrid is characterized by the integration of distributed energy resources and controllable loads in a power distribution network. Such introduces new, unique challenges to management that have never been exposed traditional systems. To accommodate these challenges, it necessary redesign conventional Energy Management System (EMS) so can cope with intrinsic characteristics microgrids. While many projects shown excellent research outcomes, they either tackled portions or validated their...
Short-term voltage stability (STVS) issues pose a significant threat to modern power systems. Based on extensive observations of STVS events, their primary predictors can be summarized as summer peak load levels with high percentage air conditioners, and occurrence faults caused by thunderstorms or other emergencies. The used the triggering signals for preventive control (PVC). Previous design PVC dominantly focuses improvement long-term stability, demand response (DR) resources are not...
A microgrid can be characterized by its integration of distributed energy resources and controllable loads. Such brings unique challenges to the management control which significantly different from conventional power systems. Therefore, a system (EMS) needs re-designed with consideration characteristics microgrids. To this end, we propose EMS named platform (MP). We take into account all functional requirements (i.e., forecast, optimization, data analysis, human-machine interface) address...
To make better use of local generators' dynamic var reserve to improve short-term voltage stability (STVS), this paper proposes an integrated high side var-voltage control (IHSV <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> C) for power plants in receiving-end systems. The IHSV C consists a plant-level multi-machine coordinator (MMVC) and several unit-level controllers (HSVCs). MMVC coordinates the reactive output among generators...
Energy management in microgrids is typically formulated as a non-linear optimization problem. Solving it centralized manner not only requires high computational capabilities at the microgrid central controller (MGCC) but may also infringe customer privacy. Existing distributed approaches, on other hand, assume that all generations and loads are connected to one bus ignore underlying power distribution network associated flows system operational constraints. Consequently, schedules produced...
In radio frequency identification (RFID) systems, location information is of great importance to provide location-aware services combined with identification. Conventional RFID systems can only coarse localization information. this paper, we propose a novel approach named MDS-RFID locate active tags based on multidimensional scaling (MDS), an efficient data analysis technique. The has the advantage fully utilizing distance in network simultaneously, and thus achieve better results than...
In this paper, we design real-time decentralized and distributed control schemes for Heating Ventilation Air Conditioning (HVAC) systems in energy efficient buildings. The balance user comfort saving, are implemented without measuring or predicting exogenous disturbances. Firstly, introduce a thermal dynamic model of building formulate steady-state resource allocation problem, which aims to minimize the aggregate deviation between zone temperatures their set points, as well consumption,...
This paper presents a real-time decentralized temperature control scheme via Heating Ventilation and Air Conditioning (HVAC) systems for energy efficient buildings, which balances user comfort saving. Firstly, we introduce thermal dynamic model of building its approximation. Then steady-state optimization problem is formulated, aims to minimize the aggregate deviation between zone temperatures their set points, as well consumption. Because this nonconvex, convex relaxation approach proposed,...
In this paper, we address energy management for heating, ventilation, and air-conditioning (HVAC) systems in buildings, present a novel combined optimization control approach. We first formulate thermal dynamics an associated problem. An is then designed based on standard primal-dual algorithm, its strict passivity proved. design local controller prove that the physical with ensured to be passivity-short. Based these results, interconnect dynamics, convergence of room temperatures optimal...
In this paper, we address energy management for heating, ventilation, and air-conditioning (HVAC) systems in multiple buildings, present a novel hierarchical/distributed optimization algorithm based on passivity. After formulating thermal dynamics an associated problem across physics-integrated so-called primal-dual the presented [7]. We then prove convergence of zone temperatures to optimal ones The is further extended ensure robustness against inter-layer time delays using scattering...
Geothermal Heat Pump (GHP) systems are heating and cooling that use the ground as temperature exchange medium. GHP becoming more popular in recent years due to their high efficiency. Conventional control schemes of mainly designed for buildings with a single thermal zone. For large multiple zones, those either lose efficiency or become costly implement requiring lot real-time measurement, communication computation. In this paper, we focus on developing energy efficient zones. We present...
In most existing handshake-based collision avoidance (CA) protocols, nodes in the communication range of transmitter or receiver are kept silent during an ongoing session (CS). underwater acoustic (UWAC), this restriction results low throughput and long transmission delay. paper, we utilize propagation delay channel (possible) sparsity network topology, formalize conditions for which a node can transmit even when it is located within participating CS. We consider these as design constraints...
A Networked Electric Vehicle (NEV) that can convert energy in the vehicle back to grid when it has excess similar electrical characteristics stationary storage devices. Vehicle-to-Grid (V2G) system, which is composed of these NEVs, mitigate impact renewable penetration, minimize losses and improve reliability electricity supply. The goal paper propose an innovative V2G system with NEVs including mathematical modeling practical implementation. More importantly, as one approach, international...
A distributed energy resource (DER) system uses renewable generation and storage to provide power ancillary services directly users in the distribution system, benefits grid by offering a solution crisis mitigating waste pollution environment. key challenge implementing DER is how ensure standardization of its communication network. The goal this paper study propose common approach standardize network using IEC 61850 includes design implementation architecture. Two prototypical testbeds for...
With the increasing penetration of renewables in power system, secondary frequency regulation (SFR) is becoming a big challenge for conventional coal-fueled thermal generator units. To address this issue, stricter AGC criteria to regulate generators has been but forward. However, old-fashioned units can hardly meet requirements and thus are subject penalty. In paper, an approach using BESS coordinated SFR proposed improve performance such generators. A demonstration project with 2 MW...
In the new power system, accuracy of load forecasting is crucial for scheduling production. The sample data holiday relatively scarce, and short-term more sensitive to meteorological factors. This article proposes an index smooth correlative prediction forecasting, which corrects correlation coefficient through meteorological, time, continuous rest characteristics. method applied model verified empirical analysis.
One of the most natural and primary ways data collection in wireless sensor networks is to periodically report sensed values from node aggregator. However, this kind mechanism comes at cost power consumption packet collision. In paper, we developed an automatic ARIMA (Auto Regressive Integrated Moving Average) modeling based aggregation scheme. The main idea behind scheme decrease number transmitted between nodes aggregator by using time series prediction model. proposed can effectively save...
To make better use of local generators' dynamic var reserve to improve short-term voltage stability (STVS), this paper proposes an integrated high side var-voltage control (IHSV2C) for power plants in receiving-end systems. The IHSV2C consists a plant-level multi-machine coordinator (MMVC) and several unit-level controllers (HSVCs). MMVC coordinates the reactive output among generators provides parameters HSVCs, while HSVCs can maintain pre-defined point (VCP) by regulating reference...
In this paper, we develop a general framework of distributed access control which allows for anytime connections and disconnections volatile renewable energy resources in the power grid. We formally prove that hard state constraints are satisfied all time asymptotic stability is reached if only happen finite number times. Our analysis leverage tools input-to-state small gain theorems nonlinear systems. The performance our illustrated by case study on frequency with wind integration.
In most existing handshake-based collision avoidance protocols, nodes in the proximity of transmitter or receiver are kept silent during an ongoing communication session. this paper, we utilize long propagation delay underwater acoustic channel and (possible) sparsity network topology to increase throughput. We formalize conditions for which a node can transmit even when it is located one-hop away from participating another consider these as problem constraints form distributed...