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Optimal coordinated energy dispatch of a multi-energy microgrid

DOI: 10.1016/J.APENERGY.2017.08.197 Corpus ID: 115336472; Optimal coordinated energy dispatch of a multi-energy microgrid in grid-connected and islanded modes

‪Yang Han‬

‪Professor, University of Electronic Science and Technology of China‬ - ‪‪Cited by 4,395‬‬ - ‪power electronics‬ - ‪microgrid‬ - ‪power quality‬ - ‪renewable energy systems‬ - ‪active power filters‬

Yan XU | Oak Ridge National Laboratory, TN | ORNL

A hybrid microgrid control architecture is proposed, which combines centralized control and distributed control to achieve a fully-functional microgrid control strategy. With smart grid

Guest editorial: Multi‐energy microgrid: Modelling, operation, planning

His research interests include power system stability and control, microgrids, and data analytics for smart grid applications. Dr Xu serves as an editor for several

Xu Yan: Research

Our group is working on the stability, optimization, and data-analytics (SODA) for the modern power systems. • Stability is a fundamental requirement for a time-varying dynamic system.

Microgrids: Advances in Operation, Control, and Protection

This book provides a comprehensive overview on the latest developments in the control, operation, and protection of microgrids. It provides readers with a solid approach to analyzing

Yan XU | Professor (Associate) | PhD

Cyber-Physical Paradigm of Multi-Agent Systems for Smart Microgrids. Conference Paper. Apr 2019; Jiahong Dai; A multi-energy micro-grid (MEMG) consists of combined cool-ing, heat

Robust Coordination of Distributed Generation and Price

Microgrid is an effective means to integrate distributed generation (DG) resource. However, uncertain renewable DG such as wind turbine and photovoltaic outputs

Yan XU | Professor (Associate) | PhD

Multiple microgrids can be interconnected to form a networked-microgrid (NMG) system. In this paper, a data-driven decentralized economic frequency control method is proposed for isolated NMG systems.

Zhengmao Li''s Homepage

Dr. Li received the B.E. degree in information engineering and the M.E. degree in electrical engineering from Shandong University, Ji''nan, China, and the Ph.D. degree in electrical

‪Li Zhengmao‬

Multi-stage real-time operation of a multi-energy microgrid with electrical and thermal energy storage assets: A data-driven MPC-ADP approach. Z Li, L Wu, Y Xu, S Moazeni, Z Tang

Xu Yan | Energy Research Institute @ NTU | NTU Singapore

Data-analytics for smart grid applications ; Microgrid and multi-energy system ; Electric vehicle integration to grid. To Top. Nanyang Technological University 50 Nanyang Avenue, Singapore

Assoc Prof Xu Yan | Academic Profile | DR-NTU | Research

Dr Xu''s professional service roles include Associate Editor for IEEE Trans. Smart Grid and IEEE Trans. Power Systems, Chairman of the IEEE Power & Energy Society (PES) Singapore

‪Yan Xu‬

‪Cham Tao Soon Professor in Engineering, Nanyang Technological University, Singapore‬ - ‪‪Cited by 21,042‬‬ - ‪Microgrids‬ - ‪Power System Stability‬ - ‪Smart Grid‬ - ‪Data-Analytics‬

Robustly Coordinated Operation of a Multi-Energy Microgrid

This paper utilizes price-based demand response and indoor temperature control to flexibilize the electric and thermal loads, respectively, and proposes a two-stage coordinated operation

[PDF] Bidding Strategy for Microgrid in Day-Ahead Market Based

Numerical simulations on a microgrid consisting of a wind turbine, a photovoltaic panel, a fuel cell, a micro-turbine, a diesel generator, a battery, and a responsive load show the advantage of

Xu Yan | Energy Research Institute @ NTU | NTU

Data-analytics for smart grid applications ; Microgrid and multi-energy system ; Electric vehicle integration to grid. To Top. Nanyang Technological University 50 Nanyang Avenue, Singapore 639798 Tel: (65) 67911744. National Institute of

‪Xiaoyuan Xu‬

Maximum loadability of islanded microgrids with renewable energy generation. X Xu, Z Yan, M Shahidehpour, S Chen, H Wang, Z Li, Q Zhou. IEEE Transactions on Smart Grid 10 (5), 4696

Yan Xu | IEEE Xplore Author Details

His research interests include power system stability and control, microgrids, and data-analytics for smart grid applications. Dr Xu''s professional services include Associate Editor for IEEE

Assoc. Prof. XU Yan – Future Resilient Systems | ETH

His research interests include power system stability and control, microgrid, and data-analytics for smart grid applications. Dr Xu is an editor for IEEE Transactions (TSG and TPWRS), IET Journals (GTD and ECE), and China''s power

Xu Yan Index.html

Dr Xu and his SODA (Stability, Optimization, and Data-Analytics) power system research group are working on the following areas: 1) stability and control of renewable-energy power systems. 2) microgrids and distributed energy

Xu Yan: Publications

- IEEE Transactions on Smart Grid Outstanding Paper Award [2]. Optimal coordinated energy dispatch for a multi-energy microgrid in grid-connected and islanded modes C. Zhang, Y.

Resilient Control and Analysis for DC Microgrid System Under

A resilient controller for DC microgrid to achieve current sharing and voltage restoration under discrete-time false data injection (FDI) and denial-of-service (DoS) attacks and an adaptive

Temporal-Spatial Coordination of Distributed Energy

Microgrid #1 Diesel Gen-Diesel Hybrid Microgrid #N Energy Sources Loads Storage Hybrid Microgrid #M Energy Sources Storage Loads Grid Connection REIDS Roadmap and

Yan

Evaluating and Selecting Renewable Energy Sources for a Microgrid: A Bi-Capacity-Based Multi-Criteria Decision Making Approach. IEEE Transactions on Smart Grid Self-Building Artificial

Intelligent Systems for Stability Assessment and Control of Smart

His research areas are power system stability and control, microgrid, and data-analytics for smart grid applications. Dr Xu is an Editor for IEEE Transactions on Smart Grid,

Yan XU | Professor (Associate) | PhD

In the smart grid and future energy internet envi-ronment, a regional energy service provider (RESP) may be able to integrate multiple energy resources such as generator units, demand

Guest editorial: Multi‐energy microgrid: Modelling,

His research interests include power system stability and control, microgrids, and data analytics for smart grid applications. Dr Xu serves as an editor for several international journals, such as IEEE Trans. Smart Grid,

Xu Yan: Research

Supported by NTU''s two flagship microgrid demonstration projects "Renewable Energy Integration Demonstrator – Singapore (REIDS)" in Semakau Island and "Smart Multi-Energy System

Yan Xu: Electronics and Electrical Engineering H-index & Awards

His Electric power system research incorporates elements of Artificial neural network, Extreme learning machine, Data-driven and Smart grid. Yan Xu combines subjects such as Robust

ORCID

A Multiagent Quantum Deep Reinforcement Learning Method for Distributed Frequency Control of Islanded Microgrids IEEE Transactions on Control of Network Systems 2022-12 | Journal article

Multi-objective economic dispatch of a microgrid considering

DOI: 10.1016/j.apenergy.2020.114489 Corpus ID: 213445833; Multi-objective economic dispatch of a microgrid considering electric vehicle and transferable load

Yan XU | Professor (Associate) | PhD

Multiple microgrids can be interconnected to form a networked-microgrid (NMG) system. In this paper, a data-driven decentralized economic frequency control method is proposed for

Bidding Strategy for Microgrid in Day-Ahead Market Based on

This paper computes the optimal bids that the smart microgrid energy management system (SMEMS) submits to the day-ahead electricity market to maximize the expected profit earned

Intelligent Multi-Microgrid Energy Management Based on Deep

The simulation results from the proposed data-driven deep learning method, as well as comparisons with conventional model-based methods, substantiate the effectiveness

Robust Coordination of Distributed Generation and

Simulation results show PBDR and multiple DG units can coordinate effectively to accommodate the renewable and demand uncertainties while maximizing the microgrid

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