About this Research Topic
Due to the complex dynamic and bidirectional power flow of power networks, active management is needed to increase the integration and operation of distributed energy resources, which include renewable power generators, flexible loads, and energy storage to promote the low-carbon economy. Under the smart grid paradigm, active distribution networks are designed to increase interoperability, security, reliability, flexibility, resilience and efficiency. Prosumers and consumers can participate in new energy services such as demand response programs. Decentralized control systems utilize big data derived from cutting-edge information and communication infrastructures in combination with smart meter technologies and Internet of things devices enable greater control for network operators. In power networks, multi-agent systems are vital to creating fundamental mechanisms for monitoring, operational forecasting, and automatic cooperation between grid stakeholders. In addition, the electrification of transport with electric vehicles allows residential customers with more options of power grid services. Evidently, power networks need to utilize state-of-the-art technologies to enhance their performance and transforming from a passive network to an active network. Key themes related to this Research Topic are (but are not limited to):
• Distributed control for distribution networks;
• Big data analytics for residential demand;
• Cyber-physical systems for smart grid;
• Distributed energy resources;
• Multi-agent systems and energy trading for distribution network;
• Techno-economic studies for smart home energy systems;
• Demand side management;
• Optimal control of virtual power plant;
• Home energy management systems;
• Grid-connected microgrids;
• Real-time energy management;
• Energy transaction based on blockchain;
• Virtual power plant;
• Standards, recommendation, good practice and guidelines.
Your contribution will allow further advancement in pioneering energy systems.
Keywords: smart grids, active management, advanced energy, big data, cyber-physical systems
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.