Presenting an optimal energy distribution strategy for microgrids in a smart grid environment, and featuring a detailed analysis of the mathematical techniques of convex optimization and online algorithms, this book provides readers with essential content on how to achieve multi-objective optimization that takes into consideration power subscribers, energy providers and grid smoothing in microgrids. Featuring detailed theoretical proofs and simulation results that demonstrate and evaluate the correctness and effectiveness of the algorithm, this text explains step-by-step how the problem can be reformulated and solved, and how to achieve the distributed online algorithm on the basis of a centralized offline algorithm. Special attention is paid to how to apply this algorithm in practical cases and the possible future trends of the microgrid and smart grid research and applications. Offering a valuable guide to help researchers and students better understand the new smart grid, this
book will also familiarize readers with the concept of the microgrid and its relationship with renewable energy.
Introduction.- System model and problem formulation.- Online and offline algorithms.- Distributed online algorithm.- Communication protocols.- Future work and open problems.
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1 | (30) |
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1.1 Smart Grid---The Future Power Grid |
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1.2 Smart Grid Infrastructure |
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1.2.2 Information Technology |
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1.2.3 Communication System |
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1.3 Smart Grid Applications |
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1.3.1 Fundamental Applications |
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1.3.2 Emerging Applications |
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1.3.3 Derived Applications |
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2 Centralized Online Algorithm for Optimal Energy Distribution in Connected Microgrid |
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2.2.2 Problem Formulation |
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2.5 Communication Network Protocol |
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2.6 Practical Online Algorithm |
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2.7 Performance Evaluation |
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2.7.1 Simulation Configuration |
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2.7.2 Algorithm Performance |
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2.7.3 Comparison with a Benchmark |
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60 | (3) |
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3 Distributed Online Algorithm for Optimal Energy Distribution in Connected Microgrids |
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3.2.2 User Utility Function |
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3.2.3 Energy Provisioning Cost Function |
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3.3 Problem Formulation and Centralized Solutions |
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3.3.1 Problem Formulation |
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3.3.2 Centralized Offline Algorithm |
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3.3.3 Centralized Online Algorithm |
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3.4 Distributed Online Algorithm |
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3.4.1 Decomposition and Distributed Offline Algorithm |
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3.4.2 Distributed Online Subproblem |
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3.4.3 Distributed Online Algorithm |
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3.5 Communication Network Protocol |
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3.6 Performance Evaluation |
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3.6.1 Simulation Configuration |
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3.6.2 DOA Performance Evaluation |
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3.6.3 Comparison with Other Algorithms |
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4 Open Problems of Energy Management in Microgrids |
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4.1 Energy Management for Islanded Microgrids |
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4.1.1 Forecasting in Islanded Microgrids |
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4.1.2 Energy Management for Islanded MGs in Emergency |
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4.2 Energy Management for Cooperative Microgrids |
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4.2.1 Cooperative Microgrids with Macrogrid |
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4.2.2 Cooperative Microgrids Without Macrogrid |
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91 | |
YU WANG received the M.E. degree in instrument science and technology and the B.E. degree in measuring and control technology and instrumentation from Southeast University, Nanjing, China, in 2011 and 2008, respectively. Since 2011, he has been pursuing the Ph.D. degree with the Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA. His current research interests include smart grid and optimization. SHIWEN MAO received the Ph.D. degree in electrical and computer engineering from Polytechnic University, Brooklyn, NY, USA. Currently, he is the McWane Associate Professor with the Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA. His current research interests include cross-layer optimization of wireless networks and multimedia communications, with current focus on cognitive radios, femtocells, 60 GHz mmWave networks, free space optical networks, and smart grid. He is on the Editorial Board of the IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS and the IEEE Communications Surveys and Tutorials. He received the 2013 IEEE ComSoc MMTC Outstanding Leadership Award and the NSF CAREER Award in 2010. He is a co-recipient of the IEEE ICC 2013 Best Paper Award and the 2004 IEEE Communications Society Leonard G. Abraham Prize in the Field of Communications Systems. R. M. NELMS received the B.E.E. and M.S. degrees in electrical engineering from Auburn University, AL, USA, in 1980 and 1982, respectively. He received the Ph.D. degree in electrical engineering from Virginia Polytechnic Institute and State University, Blacksburg, VA, USA, in 1987. He is currently a Professor and Chair with the Department of Electrical and Computer Engineering, Auburn University. His current research interests include power electronics, power systems, and electric machinery. In 2004, he was named an IEEE Fellow "for technical leadership and contributions to applied power electronics." He is a Registered Professional Engineer in Alabama.
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