A5009443344- Electric Power System Optimization
- Power Systems and Renewable Energy
- Smart Grid and Power Systems
- Smart Grid Energy Management
- Optimal Power Flow Distribution
- Power System Reliability and Maintenance
- Microgrid Control and Optimization
- Energy Load and Power Forecasting
- Power Systems and Technologies
- Integrated Energy Systems Optimization
- HVDC Systems and Fault Protection
- High-Voltage Power Transmission Systems
- Frequency Control in Power Systems
- Electric Vehicles and Infrastructure
- Geoscience and Mining Technology
- Wind Turbine Control Systems
- Advanced Algorithms and Applications
- Solar Radiation and Photovoltaics
- Power System Optimization and Stability
- Electromagnetic Scattering and Analysis
- Electromagnetic Simulation and Numerical Methods
- Bariatric Surgery and Outcomes
- Thermal Analysis in Power Transmission
- Grey System Theory Applications
- Advanced Battery Technologies Research
Xi'an Jiaotong University
2015-2024
State Key Laboratory of Electrical Insulation and Power Equipment
2008-2024
First Affiliated Hospital of Jinan University
2018-2024
Xi'an Technological University
2024
China Agricultural University
2024
The George Institute for Global Health
2024
The University of Sydney
2024
Jinan University
2019-2023
University of Hong Kong
2019-2023
Hunan University
2019-2022
This paper proposes a novel Peer-to-Peer (P2P) joint electricity and carbon (E&C) trading model to co-optimize the energy emissions permit transactions considering preferences in distribution network. To realize secure low-carbon network operation, decomposable carbon-aware locational marginal pricing (CDLMP)-based operation service scheme of system operator (DSO) is proposed guide P2P among prosumers. In practice, coordination between market DSO cast as bi-level optimization. upper level,...
Carbon-capture-utilization-and-storage (CCUS) system plays a critical role in the process of decarbonization. This paper proposes cooperative operation model for CCUS-based thermal power plant and distributed energy resources. The purpose is to achieve higher profit flexibility together with lower carbon emission CCUS under electricity, carbon, ancillary services, synthesis fuel markets. First, enhance operational various markets, focus this on elaborating feasible domain through identifying...
In this paper, we study unit commitment (UC) problems considering the uncertainty of load and wind power generation. UC problem is formulated as a chance-constrained two-stage stochastic programming where chance constraint used to restrict probability imbalance. addition conventional mixed integer linear formulation using Big-M, present bilinear constraint, then derive its counterpart McCormick linearization method. Then, develop variant Benders decomposition method, which an...
An oligoamidine with two bacteria-specific mechanisms of action showed broad-spectrum, resistance-resistant antimicrobial effect.
In pursuit of achieving carbon neutrality goals, modern power systems are increasingly characterized by low-carbon and low-inertia properties, leading to significant concerns regarding the security system frequency. These ancillary services for providing frequency regulation (FR) can contribute inertia, FR reserve capacity, response rate reserves. However, it could be challenging motivate resources, like carbon-capture-utilization-and-storage (CCUS) grid-forming inverter-based renewable...
Most of the current research on operating reserve markets assumes that required capacity is predetermined, which means demand inelastic. This paper considers in a power system flexible and one should optimize it by cost-benefit analysis. Based reliability evaluation generation system, clearing model market proposed to determine optimal simultaneously clear market. The discussed both uniform-price pay-as-bid auction mechanisms. By using heuristic method, we suggest an efficient algorithm...
The fractional frequency transmission system (FFTS) is a very promising long-distance approach, which uses lower (50/3 Hz) to reduce the electrical length of ac power line, and thus, its capacity can be increased several fold. This paper introduces experimental installation FFTS primary experiment results. phase-controlled cycloconverter as changer, stepping up 50/3 Hz electricity 50 supplying it utility grid. Thus, new flexible device successfully established in this experiment....
Real-time dispatch in microgrid (MG) is to balance the fluctuating supply and demand resulted from load renewable generation by dispatching energy storage system (ESS) controllable generators. However, it difficult evaluate real-time charging discharging costs of ESS. In this paper, two hidden costs, opportunity cost marginal cost, are proposed modeled for ESS perspective operation, which lead more efficient coordination between A two-layer model presented MG operation. The upper layer a...
This paper presents a chance constrained information gap decision model for multi-period microgrid expansion planning (MMEP) considering two categories of uncertainties, namely random and non-random uncertainties. The main task MMEP is to determine the optimal sizing, type selection, installation time distributed energy resources (DER) in microgrid. In proposed formulation, theory (IGDT) applied hedge against uncertainties long-term demand growth. Then, constraints are imposed operational...
The advanced switching techniques enable the topology reconfiguration of microgrids (MGs) in active distribution network. In this paper, we enhance and generalize traditional strategy resorting to concept “dynamic MGs” (i.e., reorganization MGs boundaries), achieve a higher operational feasibility against emergency islandings. Also, risk-averse two-stage mixed integer conic program model is presented support networked planning with generalized decisions. capacity expansion seasonal decisions...
Using off-site predictors to capture spatio-temporal correlations among geographically distributed wind farms is seen as one solution improve the forecast accuracy of power generation. However, in practice, farm operators are usually unwilling share their private data with each other because competitive reasons and security considerations. To address this issue, paper presents how probabilistic forecasting using information could be achieved a privacy-preserving fashion. Wind forecasts...
This paper presents a chance constrained stochastic conic program model for networked microgrids planning. Under two-stage optimization framework, we integrate multi-site investment problem and two sets of operational problems that correspond to the grid-connected islanding modes, respectively. To handle uncertain nature renewable energy generation load variation, as well contingent caused by external disruptions, scenarios are employed capture randomness joint constraint is introduced...
Focusing on the selection of green and low carbon (GLC) innovation, this paper builds an evolutionary game between manufacturing enterprises, another model enterprise government. Based models, dynamic evolution process was analyzed in details. The results show that enterprises will eventually converge, due to cost advantage some traditional innovation spillover effect GLC results. Some choose but adhere while sharing part revenue others. After government intervention, behaviors be...
To enhance industrial park's economic gains and effectively allocate its electricity bill among users with combined heat power (CHP) units photovoltaic (PV) panels, this paper proposes a distribution locational marginal price (DLMP)-based bi-level demand management approach. The upper level optimizes dispatching decisions of the objective minimizing their energy bills, lower is DLMP-based market clearing problem to minimize two-part tariff cost park operator. In order solve proposed model...
For the popular second-order conic program (SOCP) formulation of AC optimal power flow (OPF) in a radial network, this paper first shows that it does not have strong duality property general. Then, through series restrictive reformulations, we derive set closed-form sufficient conditions on network parameters ensure its duality. Numerical studies IEEE 33-bus, 69-bus test networks and two real-world distribution systems confirm non-negligible gaps <italic...
Compared with commonly-used point forecasting, probabilistic forecasting provides quantitative information on the uncertainty associated wind power output. However, most studies focus modelling only a fixed set of quantiles or intervals, which cannot provide entire distribution. In this paper, we propose non-parametric and flexible method for forecasting. First, distribution output is specified by spline quantile function, avoids assuming parametric form also shape density. Then,...
This paper proposes a decentralized demand management approach to reduce the energy bill of industrial park and improve its economic gains. A model for considering integrated response combined heat power (CHP) units thermal storage is firstly proposed. Specifically, by increasing electricity outputs CHP during peak-load periods, not only peak charge but also can be reduced. The efficiently utilize waste provided further increase flexibility units. dissipation storage, delay effect, losses...
The pressure of climate change has been driving the transition power distribution networks (PDNs) to low-carbon energy systems. Hydrogen-based microgrids (HMGs), as emerging urban subsystems in PDNs with significant carbon emissions reduction potentials, are valuable assets smoothing economic However, it remains a challenging issue make HMGs perceive their planning and operation process, so that they can effectively consumption patterns reduce emissions. To achieve overall emission target,...
This study presents a risk-averse stochastic unit commitment (SUC) model which considers the loss-of-load risk caused by wind power uncertainty. The expected cost of is usually considered in conventional scenario-based SUC model. However, even if induced all scenarios low, some extreme can be very high. Thus, there strong will to better control these cases with high costs but low probabilities. In this study, management worst addressed conditional value-at-risk (CVaR). proposed built...