A5100783884- Electric Power System Optimization
- Integrated Energy Systems Optimization
- Smart Grid Energy Management
- Energy Load and Power Forecasting
- Power System Reliability and Maintenance
- Optimal Power Flow Distribution
- Microgrid Control and Optimization
- Electric Vehicles and Infrastructure
- Power Systems and Renewable Energy
- Structural Load-Bearing Analysis
- Structural Engineering and Vibration Analysis
- Environmental Impact and Sustainability
- Hybrid Renewable Energy Systems
- Structural Analysis and Optimization
- Power System Optimization and Stability
- Energy and Environment Impacts
- Frequency Control in Power Systems
- Solar Thermal and Photovoltaic Systems
- Climate Change Policy and Economics
- Solar Radiation and Photovoltaics
- Advanced Battery Technologies Research
- Fire effects on concrete materials
- Power Systems and Technologies
- Structural Behavior of Reinforced Concrete
- Energy, Environment, and Transportation Policies
Tsinghua University
2016-2025
Tsinghua Sichuan Energy Internet Research Institute
2024
Intelligent Health (United Kingdom)
2022
Henan University of Technology
2022
Southwest Jiaotong University
2022
Changsha University
2022
Zhejiang University
2022
Columbia University
2022
Peking University
2022
Shanghai Jiao Tong University
2022
The Chinese government has set long-term carbon neutrality and renewable energy (RE) development goals for the power sector. Despite a precipitous decline in costs of RE technologies, external intermittency massive investments new capacities would increase electricity costs. Here, we develop system expansion model to comprehensively evaluate changes supply over 30-year transition neutrality. curves, operating security constraints, characteristics various generation units are modelled detail...
Achieving high renewable energy penetrated power systems requires considerable operational flexibility to hedge the variability and uncertainty of variable (VRE) generation. Compared with VRE sources, concentrating solar (CSP) is an emerging controllable generation technique that utilizes thermal generate electricity. The dispatchability CSP would contribute system transition toward penetration. In this paper, we explore how portfolio will change penetrations, much cost involved, what role...
As the world's biggest carbon dioxide (CO2) emitter and largest developing country, China faces daunting challenges to peak its emissions before 2030 achieve neutrality within 40 years. This study fully considered carbon-neutrality goal temperature rise constraints required by Paris Agreement, six long-term development scenarios, conducting a quantitative evaluation on pathways, energy transformation, technology, policy investment demand for each scenario. combined both bottom-up top-down...
The power system inertia is gradually decreasing with the growing share of variable renewable energy (VRE). This may jeopardize frequency dynamics and challenges secure operation systems. In this paper, concept security margin proposed to quantify regulation ability under contingency. It defined as maximum imbalance that can tolerate while keeping within tolerable range. A constrained unit commitment (FCUC) model considering proposed. Firstly, analytical formulation nadir derived both...
The high penetration of photovoltaic (PV) is reshaping the electricity net-load curve and has a significant impact on power system operation planning. concept duck widely used to describe timing imbalance between peak demand PV generation. traditional deterministic only shows single extreme or typical scenario during day. Thus, it cannot capture both probability that uncertainty generation loads. These weaknesses limit application planning under penetration. To address this issue, novel...
The high penetration of renewable energy will substantially change the power system operation. Traditionally, annual operation a can be represented by some typical modes and acts as basis for power-system-related analysis. introduction highly penetrated make mode diversified variable. These may not follow traditional empirical patterns. In this paper, we propose data-driven method based on high-dimensional data (including flow, unit generation, load demand) to identify pattern analyze impact...
Solar and wind resources are vital for the sustainable energy transition. Although renewable potentials have been widely assessed in existing literature, few studies examined statistical characteristics of inherent uncertainties arising from natural randomness, which is inevitable stochastic-aware research applications. Here we develop a rule-of-thumb learning model solar power prediction generate year-long dataset hourly errors 30 provinces China. We reveal diversified spatiotemporal...
The integration of variable renewable energy (VRE) generation, i.e., wind power and solar photovoltaic, brings significant uncertainty for the system operation. Different with VRE techniques, concentrating (CSP) is an appealing generation technology due to its dispatch ability through use thermal storage thus expected play a role in high penetrated systems. In this paper, we propose look-ahead stochastic unit commitment model operate systems CSP under penetration. It has three-stage...
With the rapid growth of distributed energy resources (DERs) and microgrids (MGs), volatility renewable generations will impact economical secure operation power system. To exert grid‐friendly manner MGs, an optimal joint‐dispatch scheme reserve is proposed in this study for combined cooling, heating (CCHP)‐based MGs. In scheme, total cost MG minimized under pre‐defined requirements. The demands are satisfied via dispatching various DERs. Distinguished from electric demand balanced at any...
With substantially increasing penetration levels of wind power, electric power system flexibility is needed to address the variability and uncertainty output. Thus, it has become an urgent issue obtain optimal tradeoff between economics reliability, price uncertainties. This paper proposes a new electricity market-clearing mechanism based on locational marginal prices (LMPs) for pricing uncertain generation load. The contained (U-LMP) derived from distributionally robust chance-constrained...
The increasing complexity of power systems, particularly the high renewable energy penetration, raises necessity incorporating detailed system operation models into long-term planning studies. classic short-term model, i.e., network-constrained unit commitment (NCUC), involves many binary variables and introduces computational challenges when applied to optimizations. A high-efficiency simplified NCUC model is required incorporate operational flexibility in This paper proposes a linearized...
High renewable energy penetration profoundly increases the diversity of operating statuses for power system. Therefore, massive scenarios need to be considered in transmission expansion planning (TEP) fully reflect impact on system operation. Usually, representative selected reduce computational burden TEP. However, abandoning many is unclear because investment decisions are highly non-linear with respect input scenarios. In this paper, we propose a TEP model effectively consider without...
Multi-energy systems (MESs) make it possible to satisfy consumer's energy demand using multiple coupled infrastructures, thus increasing the reliability of supply compared separate (SESs). To accurately and efficiently assess improve MESs, this paper proposes a MES vulnerability assessment method hub (EH) model. The conversion, transmission storage in MESs are compactly linearly described by EH model, making tractable. Indices for proposed find key components improving reliability....
High penetration of renewable energy brings seasonal electricity imbalance in the power system and results considerable curtailment. Such large scale curtailed could be used to produce hydrogen via Power-to-Hydrogen (P2H) technology. The introduction P2H would largely affect configuration both grid supply chain (HSC). This paper proposes a coordinated planning model generation transmission (GT) as well HSC with transportable storage. A co-planning is put forward investigate optimal...
High renewable energy penetration increases the electricity seasonal imbalance in long-term timescale. Power system planning needs to consider optimal configuration of various flexibility resources and balance different timescales. The coupling multiple timescales largely computation complexity power problem. Thus, this paper presents an efficient source-grid-storage co-planning model which incorporates a year-round hourly operation simulation. To improve efficiency model, from temporal...
Concentrating solar power (CSP) has been advocated as a promising technology to mitigate the uncertainty in variable renewables generation due its thermal storage capability. In deregulated markets, however, it remains an open question how identify different CSP plants' contributions mitigation, and incentivize their participation joint offering with renewable generation. this article, we propose profit-sharing mechanism of wind aggregation. The strategy is formulated two-stage stochastic...
With the rapidly increasing penetration of wind power, producers are becoming increasingly responsible for deviation power output from forecast. Such uncertainty results in revenue losses to (WPPs) due penalties ex-post imbalance settlements. This paper explores opportunities available WPPs if they can purchase or schedule some reserves offset part their rather than being fully penalized real-time market. The under such mechanism is modeled. optimal strategy managing by purchasing maximize...