A5076776679- Power Systems and Renewable Energy
- Integrated Energy Systems Optimization
- Smart Grid and Power Systems
- Energy Load and Power Forecasting
- Smart Grid Energy Management
- Electric Power System Optimization
- Microgrid Control and Optimization
- Power Systems and Technologies
- High-Voltage Power Transmission Systems
- Smart Grid Security and Resilience
- Optimal Power Flow Distribution
- Building Energy and Comfort Optimization
- Power System Optimization and Stability
- Power Systems Fault Detection
- Frequency Control in Power Systems
- Network Time Synchronization Technologies
- Power System Reliability and Maintenance
- Caching and Content Delivery
- Adaptive Control of Nonlinear Systems
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems
- Solar Radiation and Photovoltaics
- Thermal Analysis in Power Transmission
- Energy Efficiency and Management
- Distributed and Parallel Computing Systems
- Electric Vehicles and Infrastructure
Shanghai Electric (China)
2012-2025
Shenyang University of Technology
2019-2024
Northeast Electric Power University
2021-2024
State Grid Corporation of China (China)
2023
University of Chinese Academy of Sciences
2017-2019
Shenyang Institute of Computing Technology (China)
2017-2018
Chinese Academy of Sciences
2017-2018
Institute of Computing Technology
2018
Sinopec (China)
2011
Gansu Agricultural University
2005
Abstract As the share of intermittent and fluctuating renewable energy sources in power system continues to increase, demand‐side resources must be utilized enhance real‐time balance generation supply. Data centres, as typical energy‐intensive loads with bidirectional supply demand characteristics, are crucial resources. However, their operation is complex, making reliable regulation difficult. This paper establishes a refined process‐level load model for data centres by considering temporal...
Orderly power consumption is an important method for maintaining the supply–demand balance in system. However, large-scale integration of renewable energy significantly raises demand-side load flexibility requirements, challenging implementation orderly utilization. The optimal configuration and scheduling distributed resources (DER), including electric vehicles (EVs) storage systems (ESS), represent promising approaches to addressing this issue. current research neglects influence DER...
The integration of high-efficiency heat pump and thermal storage devices is great significance to realize the synergy between efficient flexible operation integrated electric energy systems. This article proposed an electric–thermal system with introduced current method for constructing its overall dynamic power flow model by considering transfer, conversion, processes. On this basis, we derived constraint component equations. Under objective wind curtailment minimization, comprehensive...
Considering the impact of operation and maintenance costs technology, there is generally a lack sufficient meteorological observation devices within distributed photovoltaic (PV) station group. The deviation collected data PV power error caused by software hardware limitations will directly lead to reduction model prediction accuracy. To tackle this problem, paper proposes short-term method with adaptive spatio-temporal codec structure for prediction, which adapts requirements different...
With the promotion of dual carbon target, scale wind power grid connection will significantly increase. However, has characteristics such as randomness and volatility, its challenges pressure system peak shaving, making it increasingly difficult to regulate system. To solve problem abandonment, positive negative shaving were first analyzed. Based on this, is proposed that demand response resources energy storage with adjustable are used new means consumption. Together thermal units, they...
Cyber-Physical Power Distribution System (CPPDS), as one of the most critical part smart grid, is vulnerable to cyber impacts. The urgent demand analyzing impacts CPPDS increasing. In this paper, we introduce an analytical method quantify components and transmission quality on operation reliability. Specifically, present two models, namely static connection model dynamic model, analyze system. establishment based fault location, isolation service restoration (FLISR). implementation...
Compared to the step tariff, real-time pricing (RTP) could be more stimulated for household consumers change their electricity consumption behaviors. It can reduce reserve capacity, peak load, and of course bill, which achieve purpose saving energy. This paper proposes a coordinated optimization algorithm data-driven RTP strategy in market. First, price is divided into two parts, basic fluctuating price. When equal average daily consumption, defined as price, clearing The consumer data are...
The real-time network loss calculation of the power system has particularly important significance for optimal scheduling and economic operation system. With development artificial intelligence, data collected by is more accurate efficient. It convenient intelligence computer to calculate in real time make instructions a short time, which makes it possible implement optimization instantaneously. This paper analyzes traditional methods, proposes new method using machine learning algorithms,...
The impact and randomness of the load, especially high-speed rail has many negative impacts on grid, it is mainly studied from perspective ultra-short-term prediction. Firstly, load characteristics railway in a certain area were analyzed by dispatching control cloud platform, Monte Carlo method was proposed to solve problem that difficult predict. Then, an forecasting model for established based actual factors, probability prediction estimated uncertainty analysis. A practical regional grid...
In this paper, a control method combined with dynamic surface and sliding mode based on input quantization is proposed for multi-machine power system SVC. The of state variables solves the signal transmission problem in network environment. error terms unknown disturbances modeling are estimated by neural network. boundedness errors parameters closed-loop analyzed some lemmas. Finally, effectiveness tracking scheme verified simulation results.
For improving the precision of load forecasting in different time spans, a new model which combines improved complete ensemble empirical mode decomposition algorithm based on adaptive noise (ICEEMDAN) algorithm, least squares support vector machine (LS-SVM) and long short-term memory network (LSTM) is proposed. In this paper, training set acquired from department dispatch center large city north China. And advantages algorithms are applied reasonably, where ICEEMDAN used to decompose...
With the large-scale renewable energy access to power system, voltage source converters (VSCs) in system are gradually increasing. The inertia is weakened, which leads decrease frequency supportability and affects stability of system. After adopting active support control, VSC-based units have similar traditional synchronous generators (SGs), can improve This article intended control strategy based on energy. Small-signal a two-zone with different strategies for VSCs under conditions...