Coordination of Distributed Energy Resources in Microgrids: Optimization, control and hardware-in-the-loop validation provides a structured overview of research into techniques for managing microgrids with distributed energy resources (DERs). The DERs including distributed generators, energy storage systems, and flexible loads are posing both challenges and opportunities to microgrids' security, planning, operation, and control. Advanced operation and control techniques are needed to coordinate these components in the microgrids and maintain power quality, as well as keeping the system economically feasible.
This book is for researchers and students in the area of smart grids, power engineering, and control engineering, as well as for advanced students, transmission network and grid operators. It focuses on cutting-edge techniques for secure, economic, and robust operation and control of microgrids. Effective coordination of DERs on both temporal and spatial scales are introduced in detail. Topics covered include comprehensive mathematical models of DERs and microgrids, sizing and siting of DERs under uncertainties, stochastic and robust optimization for active and reactive power dispatch of DERs in microgrids, distributed coordinated control, and hardware-in-the-loop tests for validation of control algorithms.
- Chapter 1: Distributed Energy Resources: Classifications and Working Principles
- Chapter 2: Microgrids: Architecture, Operation Mode, and Control Structure
- Part II: Coordinated Planning of DERs: Optimal Sizing and Siting in Microgrids
- Chapter 3: Composite Sensitivity Factor-Based Method for DG Planning
- Chapter 4: Probability-Weighted Robust Optimization Method for DG planning
- Chapter 5: Multi-phase Stochastic Programming Method for multi-energy DG planning
- Chapter 6: Stochastic Planning of Multi-energy ESS in residential MG
- Part III: Coordinated Operation of DERs: Energy Management and Voltage Regulation
- III-1: Optimal Dispatch of DERs in Microgrids
- Chapter 7: Hourly Coordination of Energy Storage and Direct Load Control
- Chapter 8: Daily Coordination of Microturbines and Demand Response
- Chapter 9: Optimal Dispatch of Multi-Energy Microgrids
- Chapter 10: Temporally-Coordinated Dispatch of Multi-Energy Microgrids under Diverse uncertainties
- Chapter 11: Robustly Optimal Dispatch of Multi-Energy Microgrids with Flexible Loads
- III-2: Voltage/Var Optimization of DERs in Microgrids
- Chapter 12: Multi-timescale Coordinated Voltage/Var Control
- Chapter 13: Three-Stage Robust Inverter-Based Voltage/Var Control
- Part IV: Coordinated Control of DERs: Distributed Controller Design and Hardware-in-the-loop Tests
- IV-1: Frequency Regulation Support
- Chapter 14: Power System Frequency Regulation by Aggregated Energy Storage Systems
- Chapter 15: Power System Frequency Support by Grid-Interactive Smart Buildings
- IV-2: Voltage Regulation Support
- Chapter 16: Two-Level Fully Distributed Voltage/Var Control of Aggregated PV Inverters
- Chapter 17: Decentralized-Distributed Hybrid Voltage Regulation Scheme
- IV-3: Hardware-in-the-loop Tests
- Chapter 18: Controller Hardware-in-the-Loop: Event-triggered Control of DERs in Microgrids
- Chapter 19: Power Hardware-in-the-Loop: A Three-Level Coordinated Voltage Control by DERs
Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore.
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 Research Scientist.
Rolls-Royce-NTU Corporate Lab, Nanyang Technological University, Singapore.
Yu Wang is a research scientist 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 optimization 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 Research Associate.
University of New South Wales, School of Electrical Engineering and Telecommunications, Australia.
Cuo Zhang is a research associate 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 optimization 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 Research Fellow.
Nanyang Technological University, Joint NTU-ETH Future Resilience System Center, School of Electrical and Electronic Engineering, Singapore.
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, optimization and reinforcement learning techniques such as approximate dynamic programming, robust and stochastic optimization method, resilience of multi-energy systems.