Demand Response in Smart Microgrids : Advanced and Optimal Energy Management Strategies / by Mohammed Ouassaid, Rajaa Naji El Idrissi, Meryeme Azaroual

Von:

Ouassaid, Mohammed [VerfasserIn]

Mitwirkende(r):

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Studies in Systems, Decision and Control ; 619Verlag: Cham : Springer Nature Switzerland, 2026Verlag: Cham : Imprint: Springer, 2026Auflage: 1st ed. 2026Beschreibung: 1 Online-Ressource(XXXIV, 229 p. 109 illus., 108 illus. in color.)ISBN:

9783032024923

Schlagwörter:

006.3 23

DOI: DOI: 10.1007/978-3-032-02492-3Online-Ressourcen:

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Zusammenfassung: Microgrid Structure and Control Methods A Review -- Microgrid System Operation -- Energy Management of Residential Microgrid under Step-rate and Time-of-Use Tariffs -- Microgrid Energy Flow Management Considering Cost, Reliability and 𝑪𝑶2 emissions -- Model Predictive Control Based Strategy for Hybrid Microgrid -- A Survey on Home Energy Management -- DSM Strategy Using Optimal Day-Ahead Load Shifting -- Peak Load Minimization Through Electricity Pricing and Cooperative Load Scheduling -- Collective Energy Consumption Scheduling for Aggregated Smart Buildings -- Coordinated Blockchain Technique for Load Scheduling within Smart Buildings -- Efficient Charging Scheduling of Aggregated Electric Vehicles -- Summary and Scope.Zusammenfassung: This book covers the optimization of the energy flow management of a grid-tied photovoltaic-wind-battery energy storage system and the development of demand response algorithms for a single customer at the lowest level and extended it to a large community of participants at the highest level. Hence, this book consists of two parts. The first part is devoted to the design of energy management strategies for a residential PV-WT system, while considering time of use and feed in tariff schemes. Further, the developed management algorithms mitigate the greenhouse gas emissions. Additionally, a closed-loop control based-model predictive control scheme, to forecast the system behavior and deal with renewable energy resources and load disturbances, is elaborated. The second part is dedicated to developing eﬀective demand side management techniques and cooperative energy scheduling in the framework of collective smart-buildings. Cooperative energy scheduling programs are designed while considering three objectives: minimizing peak load, minimizing electricity cost, and avoiding the occurrence of rebound peaks. Optimal consumption decisions are examined in residential, commercial, and industrial areas. Besides, the impact of electric vehicle charging methods is investigated for diﬀerent EV penetration levels. Also, a game theory approach for energy consumption scheduling of a community of smart microgrids is built. In summary, this book successfully establishes the important synergy between microgrid energy management and demand response at the level of a smart home and an aggregated building community. The above aspects are illustrated in this book in 11 chapters. The scope is broad. This book chapters are very effective in theoretical analysis and design of optimization algorithms in the realm of smart grids. This book is intended to provide advanced undergraduate, graduate students, engineers, researchers on energy management within smart homes and clustered buildings, with a comprehensive understanding of various methods and designed algorithms. These strategies and algorithms aim to deal with defies ranging from augmented adoption of microgrids to the introduction of demand response approaches, to enhance the grid viability and resilience.PPN: PPN: 1938979907Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-INR | ZDB-2-SXIT

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