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20132026
most citedCoordinating Flexible Demand Response and Renewable Uncertainties for Scheduling of Community Integrated Energy Systems with an Electric Vehicle Charging Station: A Bi-level Approach

604 citations

Showing 2023Show all

11 papers · 1 filter

eess.SY2023★ 112 cited

Enhancing Cyber-Resilience in Integrated Energy System Scheduling with Demand Response Using Deep Reinforcement Learning

Yang Li, Wenjie Ma, Yuanzheng Li +3

Optimally scheduling multi-energy flow is an effective method to utilize renewable energy sources (RES) and improve the stability and economy of integrated energy systems (IES). Ho…

eess.SY2023★ 1 cited

A novel method of restoration path optimization for the AC-DC bulk power grid after a major blackout

Chao Yang, Gaoshen Liang, Tianle Cheng +2

The restoration control of the modern alternating current-direct current (AC-DC) hybrid power grid after a major blackout is difficult and complex. Taking into account the interact…

eess.SY2023★ 170 cited

Deep learning based on Transformer architecture for power system short-term voltage stability assessment with class imbalance

Yang Li, Jiting Cao, Yan Xu +2

Most existing data-driven power system short-term voltage stability assessment (STVSA) approaches presume class-balanced input data. However, in practical applications, the occurre…

eess.SY2023★ 17 cited

A Demand-Supply Cooperative Responding Strategy in Power System with High Renewable Energy Penetration

Yuanzheng Li, Xinxin Long, Yang Li +3

Industrial demand response (IDR) plays an important role in promoting the utilization of renewable energy (RE) in power systems. However, it will lead to power adjustments on the s…

cs.LG2023★ 57 cited

PMU measurements based short-term voltage stability assessment of power systems via deep transfer learning

Yang Li, Shitu Zhang, Yuanzheng Li +2

Deep learning has emerged as an effective solution for addressing the challenges of short-term voltage stability assessment (STVSA) in power systems. However, existing deep learnin…

eess.SY2023★ 13 cited

Model predictive control strategy in waked wind farms for optimal fatigue loads

Cheng Zhong, Yicheng Ding, Husai Wang +3

With the rapid growth of wind power penetration, wind farms (WFs) are required to implement frequency regulation that active power control to track a given power reference. Due to…

cs.CR2023★ 33 cited

Image encryption for Offshore wind power based on 2D-LCLM and Zhou Yi Eight Trigrams

Lei Kou, Jinbo Wu, Fangfang Zhang +6

Offshore wind power is an important part of the new power system, due to the complex and changing situation at ocean, its normal operation and maintenance cannot be done without in…

eess.SY2023★ 49 cited

Collaborative Optimization of Multi-microgrids System with Shared Energy Storage Based on Multi-agent Stochastic Game and Reinforcement Learning

Yijian Wang, Yang Cui, Yang Li +1

Achieving the economical and stable operation of Multi-microgrids (MMG) systems is vital. However, there are still some challenging problems to be solved. Firstly, from the perspec…

eess.SY2023★ 18 cited

Output Voltage Response Improvement and Ripple Reduction Control for Input-parallel Output-parallel High-Power DC Supply

Jianhui Meng, Xiaolong Wu, Tairan Ye +4

A three-phase isolated AC-DC-DC power supply is widely used in the industrial field due to its attractive features such as high-power density, modularity for easy expansion and ele…

eess.SY2023★ 35 cited

Multi-Microgrid Collaborative Optimization Scheduling Using an Improved Multi-Agent Soft Actor-Critic Algorithm

Jiankai Gao, Yang Li, Bin Wang +1

The implementation of a multi-microgrid (MMG) system with multiple renewable energy sources enables the facilitation of electricity trading. To tackle the energy management problem…

eess.SY2023★ 261 cited

Data-Driven Distributionally Robust Scheduling of Community Integrated Energy Systems with Uncertain Renewable Generations Considering Integrated Demand Response

Yang Li, Meng Han, Mohammad Shahidehpour +2

A community integrated energy system (CIES) is an important carrier of the energy internet and smart city in geographical and functional terms. Its emergence provides a new solutio…