A5041491972- Electric Power System Optimization
- Integrated Energy Systems Optimization
- Optimal Power Flow Distribution
- Energy Load and Power Forecasting
- Smart Grid Energy Management
- Power Systems and Technologies
- Smart Grid and Power Systems
- Microgrid Control and Optimization
- Power System Reliability and Maintenance
- Electric Vehicles and Infrastructure
- Hybrid Renewable Energy Systems
- Mathematical Dynamics and Fractals
- Technology and Security Systems
- Power Systems and Renewable Energy
- HVDC Systems and Fault Protection
- Advanced Battery Technologies Research
- Cognitive Computing and Networks
- Advanced Algorithms and Applications
- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Protein Structure and Dynamics
- Advanced Decision-Making Techniques
- Technology and Data Analysis
- Global Energy Security and Policy
- Quantum chaos and dynamical systems
China Southern Power Grid (China)
2020-2025
Shantou University
2023
Beijing University of Technology
2023
Zhejiang University
2016-2019
A robust security-constrained unit commitment (robust SCUC) model is proposed in this paper to enhance the operational reliability of integrated electricity-natural gas system (IEGS) against possible transmission line outages. In work, adjustable capability natural contract considered avoid dramatic changes real-time demand. Distributed storage also included smooth out power demand curve and further improve efficiency at normal state during contingencies. Nonlinear nonconvex flow functions...
A large-scale integrated energy system can represent several subsystems representing areas that are tied by electricity and natural gas networks. Accordingly, we propose a decentralized optimal flow (DOEF) calculation as compared with centralized solution method. The proposed approach demonstrates the merits of operation control multi-area electricity-natural (IEGS), in terms modeling requirements, faster computations, data management for local sensitivity analyses. Using structure,...
This paper proposes a coordinated regional-district operation of integrated energy system (IES) for enhancing resilience in extreme conditions. A bi-directional flow model is established IES with the utilization powerto-gas technologies which shows how regional and district can jointly enhance resilience. The co-optimizes power grid natural gas networks, while coordinates conversion storage facilities. modeled as an hub supplies electricity to IES. tri-level two-stage robust accommodate...
With the proliferation of natural gas combined cycle units, modern energy infrastructure has evolved into a coupled electricity and system, which often encompasses multiple large-scale geographically-diverse areas. The similarity in consumption profiles systems gives rise to critical mandates for coordinated optimization operation. This paper presents decentralized framework, considers wind power-to-gas (P2G) technologies operation integrated multi-area transmission system (IEGTS). First,...
In the context of Energy Internet, customers are supplied by energy hubs (EH), while EHs interconnected through an upper-level transmission system. this paper, a stochastic scheduling model is proposed for considering integrated demand response (DR) and wind variation. The whole system (IES) linearly modeled first time. output-input relationship within hub denoted as linearized matrix, power natural gas systems analyzed piecewise linearization method. A novel sequential method further to...
This paper proposes a coordinated regional-district operation of integrated energy system (IES) for enhancing resilience in extreme conditions. A bi-directional flow model is established IES with the utilization powerto-gas technologies which shows how regional and district can jointly enhance resilience. The co-optimizes power grid natural gas networks, while coordinates conversion storage facilities. modeled as an hub supplies electricity to IES. tri-level two-stage robust accommodate...
Wind power generation has developed rapidly in recent decades due to low carbon emissions. However, the significant uncertainty makes it uneconomic or even unreliable be consumed, which hinders development of wind energy. To guarantee minimum utilisation level without jeopardising system reliability and cost-effectiveness, this study proposes a concept optimal consumption point. Based on that, two-stage chance-constrained unit commitment model is presented co-optimise day-ahead energy...
The Virtual Power Plant (VPP) serves as the primary form of participation for distributed power generation resources in electricity markets. Throughout this market engagement, uncertainties stemming from renewable energy sources and prices present significant revenue risks VPPs. Addressing challenge, paper proposes a VPP bidding risk management model centered on dominance constraints. In contrast to conventional methods reliant metrics like Conditional Value at Risk, proposed offers improved...
Flexible demand response (DR) like price-elastic load (PEL) is an effective option to firm curve by shifting peak valley time periods. The relationship between shifted and electricity price variation can be represented the elastic matrix. In this paper, a novel pricing strategy with flexible for integrated electricity-natural gas system (IEGS) demonstrated. It aims at deciding optimal day-ahead time-of-use maximize social benefits on both supply sides, while satisfying customers certain...
A modern power system integrates more and new energy uses a large number of electronic equipment, which makes it face challenges in online optimization real-time control. Deep reinforcement learning (DRL) has the ability processing big data high-dimensional features, as well independently optimizing decision-making complex environments. This paper explores DRL-based combination method grid sections for system. In order to improve convergence speed model, proposes discretize output action...
Abstract This paper is concerned with the path-dependent shrinking target problems in beta-dynamical systems. For β > 1 let T be -transformation on <?CDATA $ [0,1] $?> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mo stretchy="false">[</mml:mo> <mml:mn>0</mml:mn> <mml:mo>,</mml:mo> <mml:mn>1</mml:mn> stretchy="false">]</mml:mo> </mml:math> . Let 1\lt\beta_1\unicode{x2A7D} \beta_2 <mml:mo><</mml:mo> <mml:msub> <mml:mi>β</mml:mi> </mml:msub>...
This paper proposes a decentralized strategy for the multi-area optimal transmission switching (OTS) problem. We illustrate framework this problem, which is able to help reduce model scale and communication burden. Each area operator (AO) governs its subsystem decides OTS independently. Then each AO coordinates with adjacent areas by sharing corresponding information. The augmented Lagrange function (ALF) utilized relax decompose primal centralized problem into subproblems subsystem. A...
Modern power system integrates more and new energy use a large number of electronic equipment. This makes it face challenges in online optimization real-time control. Deep reinforcement learning(DRL) has the ability processing big data high-dimensional features, as well independently learning optimizing decision-making complex environments. In this paper, we explore DRL based combination method grid section for system. our method, to improve convergence speed model, propose discretize output...
Locational marginal price (LMP) is a market-pricing method used to determine optimal dispatch of interconnected power systems. In order take system's operating risk into consideration, modified risk-based LMP (RLMP) calculation given in this paper. We design decentralized synergetic pattern electricity market environment avoid the drawbacks centralized dispatch. A double-layer optimization model considered. lower level, local centers operate autonomously arrange their own generation plans...