Energy Management for Microgrid Systems

Energy Management for Microgrid Systems

Algorithms and Applications

Zhang, Guanglin; Chen, Ming; Wang, Lin; Shen, Zhirong

Springer International Publishing AG

04/2025

250

Dura

9783031785634

Descrição não disponível.
Part I. Multi-Energy Coordinated Management in Single Microgrid System.- Chapter 1. Online Energy Management for Microgrids with CHP Co-generation and Energy Storage.- Chapter 2. Optimal Energy Management for Microgrids with Combined Heat and Power (CHP) Generation, Energy Storages, and Renewable Energy Source.- Chapter 3. Intelligent Energy Scheduling in Renewable Integrated Microgrid with Bidirectional Electricity-to-Hydrogen Conversion.- Part II. Multi-Energy Coordinated Management in Multi-Microgrid System.- Chapter 4. Energy Scheduling for Networked Microgrids with Co-Generation and Energy Storage.- Chapter 5. Online Energy Management and Heterogeneous Task Scheduling for Smart Communities with Residential Cogeneration and Renewable Energy.- Chapter 6. Combined Carbon Capture and Utilization with Peer-to-Peer Energy Trading for Multi-Microgrids Using Multi-Agent Proximal Policy Optimization.- Part III. Vehicle-to-Grid based Energy Management in Microgrid System.- Chapter 7. Real-Time Battery Thermal Management for Electric Vehicles Based on Deep Reinforcement Learning.- Chapter 8. Smart Online Charging Algorithm for Electric Vehicles via Customized Actor-Critic Learning.- Chapter 9. Real-time Energy Management for Microgrid with EV Station and CHP Generation.
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Microgrid;Energy management;Energy scheduling;Combined heat and power (CHP);Energy storage;Lyapunov optimization;Online scheduling;Renewable energy;Cost minimization;Hydrogen;Carbon emission;Power-to-gas (P2G);Deep reinforcement learning (DRL);Deep deterministic policy gradient (DDPG);Markov decision process (MDP);Smart communities;Peer-to-peer (P2P);Energy trading;Electric vehicle;Vehicle-to-grid (V2G)