Global warming and the carbon emissions of fossil fuels are driving the growth of renewable energy systems, not only for environmental reasons but also due to operation costs. However, renewable energy systems, including hydropower, solar power, geothermal power, and wind power, are generally nondispatchable in the energy supply. This instability highlights the need for an energy management system (EMS) for use by operators of electric utility grids. An EMS is a system of computer-aided tools to resolve immediate volatility, balance demand with supply, and prevent future outages by monitoring and controlling individual energy flows of all types of energy systems. The energy flows are dynamically adjusted during peak periods through direct control, demand-side management, and demand response (DR) programs. An EMS can also minimize the supply variance by using energy storage systems or other energy systems, even under uncertainty. The EMS provides efficient ways of managing and benefiting from renewable energy systems to realize their full potential.With increasing renewable energy system penetration, the centralized energy management model is shifting to distributed energy management models, called Energy management agent (EMA) framework. This change has resulted in the introduction of distributed EMAs to achieve cost-effective monitoring and control of distributed energy resources (DERs) and legacy energy systems through a distributed architecture. The distributed architecture divides the information acquisition and management burden into multiple EMS domains.
This change has resulted in the introduction of cloud/edge-native Energy Internet to achieve cost-effective monitoring and control of DERs and legacy energy systems in a cloud/edge environment [9]. The cloud/edge-native architecture divides the information acquisition and management burden into cloud/edge domains. Using these domains, the cloud/edge-native Energy Internet can strengthen the grid resilience, help mitigate grid disturbances, and improve scalability. However, a cloud/edge-native Energy Internet still requires a strong interconnection framework of different EMSs to provide cooperative energy management.
This talk presents the Energy Internet and EMA framework. This talk also contributes to the state of the art of the EMA standards specified by the International Standard Organization (ISO)/International Electrotechnical Commission (IEC) Joint Technical Committee (JTC) 1 to develop and deploy an EMF. The ISO/IEC 15067-3 and 15067-3-3 standards specify an EMA and an interacting EMA, respectively. The EMA framework identifies interfaces and protocols with specific levels of abstraction under the Industry 4.0 paradigm. The EMA framework also identifies layered interconnection models, i.e., Energy Internet to enable dynamic deployment of EMAs in the technology of the fifth-generation (5G) vertical industry. The Energy Internet architecture provide integration efficiency in dynamic deployment and management of EMAs for enabling cooperative control and joint energy management across heterogeneous domains. The architecture makes an expanded EMA framework by using the Internet technologies, such as Internet of Things (IoT), Cloud Computing, Edge Computing, Digital Twin, Metaverse, etc., in the edge and cloud environments.
SPEAKER:
Jin Seek Choi (Senior Member of IEEE) received his Ph.D. degree from the Korea Advanced Institute of Science and Technology (KAIST) in 1995. Since 2004, he has been working as a Professor in the Department of Computer Science at Hanyang University, Seoul, South Korea. In 2016, he received an award for contribution to the intelligent power network legal system, policy support and technology development from the Minister of Trade, Industry and Energy of the Republic of Korea. He now serves a project leader and editor of interacting Energy Management Agent in ISO/IEC JTC1 Standards Committee 25. His current research interests include software-defined networking, Federation, orchestration, optical Internet, energy and IoT networking (energy management agent, energy management framework), and location and mobility management in next-generation networks.
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CTTC Auditorium B4 -10:00h-