Non-Cooperative Game Theory and Energy Management Systems

Dear Colleagues,

The future power systems, known as smart grids, will host a variety of new technologies, such as distributed generation resources, energy storage devices, electric vehicles (EV), and demand response resources for low-voltage distribution systems. A sophisticated fleet of sensors, measurement tools, communication channels, and real-time data streaming apparatus are expected to be deployed in future distribution networks. The industry and research community have been working on addressing the challenges presented by adopting such complex systems in recent years. Such challenges include the real-time optimal operation of distributed generation, energy storage devices, and demand response resources at the distribution level in uncertain operation conditions, community distribution networks, local energy trading, and supporting upstream grids. To take advantage of the new possibilities and overcome the potential issues in the new era, the development of modern operational tools and algorithms are required for active distribution networks.

In this Special Issue, we are seeking the cutting-edge research related to the advancement of active distribution networks by employing modern computational intelligence and soft computing techniques based on the game theory approach. We invite researchers from academia as well as industry to submit their high-quality work and research findings in this relatively new area with a focus on the application of soft computing methods, game theory techniques, energy management systems, and optimization algorithms.

Potential topics include but are not limited to the following:

• Demand response, V2G, and G2V scheduling and operation
• Real-time management and operation of demand response resources, stationary storage devices, and EVs in an uncertain condition
• Transactive energy market for active distribution networks in uncertain conditions
• Active distribution system planning considering renewable generation, storage devices, EVs, and demand response resources
• Development of demand response programs, and evaluation of their impact on the active distribution grid operation
• Distribution system reliability analysis considering the inherent uncertainties of the system in the future
• Smart condition monitoring for power system equipment and state-estimation using big data in a stochastic environment

Dr. Mousa Marzband
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• energy management systems
• game theory
• optimal scheduling
• active distribution system
• smart grids
• demand side management
• electrical vehicle
• storage systems
• retail energy market