Coordination of Distributed Energy Resources in Microgrids

Yan Xu is an associate professor at School of Electrical and Electronic Engineering and a cluster director at Energy Research Institute at NTU (ERI@N). Dr Xu has published 1 book, 86 IEEE Transactions papers and 30 IET journal papers. He has 13 'Web-of-Science highly cited papers' and received 10 IEEE/IET best paper awards. Dr Xu is serving as an editor for IEEE Transactions (TSG and TPWRS) and IET journals (GTD and ECE).Yu Wang is a research fellow in the Rolls-Royce-NTU Corporate Lab, Nanyang Technological University, Singapore. He was a recipient of the EU Marie Skłodowska-Curie Action Individual Fellowship 2020. His research interests include distributed control and optimisation of energy storage systems, microgrids, and cyber-physical power systems. He has published 50 peer-reviewed journal and conference papers, including 3 'web-of-science highly cited papers.'Cuo Zhang is a research fellow with the University of New South Wales, Australia. He is also a chief investigator of ARC Research Hub for Integrated Energy Storage Solutions. His research interests include power system planning and operation, voltage stability and control, microgrids, multi-energy systems, and applications of optimisation theory in these areas. He has published 10 IEEE Transactions journal papers including 2 'web-of-science highly cited papers' and awarded 3 IEEE/IET conference best papers.Zhengmao Li is a research fellow at Nanyang Technological University under the NTU-ETH future resilience system project. He was previously a research fellow with the Stevens Institute of Technology, Hoboken, NJ, USA. His research interests include renewable energy integration, multi-energy systems such as multi-energy microgrid, multi-energy ship, optimisation and reinforcement learning techniques such as approximate dynamic programming, robust and stochastic optimisation method, resilience of multi-energy systems.

• Part I: Distributed Energy Resources and Microgrids: PreliminariesChapter 1: Distributed energy resources: introduction and classificationChapter 2: Microgrids: introduction and research problem descriptions Part II: Coordinated Planning of DERs in Microgrids: Optimal Sizing and SitingChapter 3: Composite sensitivity factor-based method for DG planningChapter 4: Probability-weighted robust optimisation method for DG planningChapter 5: Multi-stage stochastic programming method for multi-energy DG planningChapter 6: Stochastic planning of heterogeneous energy storage (HES) in residential MEMG Part III: Coordinated Operation of DERs in Microgrids: Energy Management and Voltage RegulationChapter 7: Hourly coordination of energy storage and direct load controlChapter 8: Daily coordination of microturbines and demand responseChapter 9: Optimal dispatch of MEMGsChapter 10: Temporally coordinated dispatch of MEMGs under diverse uncertaintiesChapter 11: Robustly optimal dispatch of MEMGs with flexible loadsChapter 12: Multi-timescale coordinated voltage/var control optimisationChapter 13: Three-stage robust inverter-based voltage/var control optimisation Part IV: Coordinated real-time control of DERs: distributed controller design and hardware-in-the-loop testsChapter 14: Power system frequency control by aggregated energy storage systemsChapter 15: Power system frequency support by grid-interactive smart buildingsChapter 16: Decentralised-distributed hybrid voltage control by inverter-based DERsChapter 17: Two-level distributed voltage/var control by aggregated PV invertersChapter 18: Event-triggered control of DERs and controller hardware-in-the-loop validationChapter 19: Three-level coordinated voltage control of DERs and power hardware-in-the-loop validation