한국전자기술연구원(KETI, 원장 신희동)이 태양광, 풍력 등 분산 에너지 자원을 가상의 물리모델로 구현하는 최적의 하이브리드 모델 및 디지털 플랫폼을 개발했다.
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▲KETI officials are explaining the digital twin-based distributed energy optimal management platform.
Carbon-neutral R&D key achievements revealed at UNFCCC Conference of the Parties
It is expected that the digital twin-based distributed energy optimal control technology will enable precise prediction of renewable energy generation and strengthen the stability of the power grid.
The Korea Electronics Technology Institute (KETI, President Shin Hee-dong) announced on the 18th that it has developed an optimal hybrid model and digital platform that implements distributed energy resources such as solar and wind power as virtual physical models.
Specifically, the development achievements include: △Advanced prediction of carbon-neutral energy resources; △Energy production and consumption balancing support functions; and △Hybrid artificial intelligence technology that includes decision-making support and microgrid pre-verification functions.
KETI has been improving the accuracy of power generation predictions of energy resources by combining physical models of distributed energy resources such as solar and wind power with real-time sensor data models based on high-resolution hybrid models.
In addition, the intelligent power grid was optimally controlled to minimize the imbalance between regional production and consumption and maximize energy efficiency in line with the activation of distributed energy by supporting energy production and consumption balancing technology.
In addition, through decision support and pre-verification functions, we supported decision-making required for distributed energy management within the region, and managed energy stably and efficiently by pre-verifying various energy-based scenarios.
KETI Lee Sang-yeop According to the director of the Energy IT Convergence Research Center, the energy industry is currently actively utilizing hybrid artificial intelligence technology that combines data-based artificial intelligence models and physical models.
Therefore, this technology is expected to accurately predict the power generation of renewable energy such as solar and wind power, efficiently adjust energy production and consumption within the region, and strengthen the stability of the power grid.
Meanwhile, KETI exhibited its excellent digital carbon-neutral R&D technology and held an intelligent energy management technology briefing session at the 29th Conference of the Parties to the United Nations Framework Convention on Climate Change (COP29) held in Baku, Azerbaijan from the 11th.
The Conference of the Parties (COP) to the United Nations Framework Convention on Climate Change is an international conference held annually for the global joint response to climate change. KETI shared core ICT technologies in the energy field led by the research institute by exhibiting a digital twin-based distributed energy optimal management platform to event attendees.
Lee Sang-yeop, head of the Energy IT Convergence Research Center, said, “KETI’s technology exhibition has become an important opportunity to publicize the digital energy innovation led by the research institute on the international stage,” and “The research team will continue to strengthen innovative research and cooperation to achieve carbon neutrality in the future.”
This achievement was developed through the project ‘Development of a High-Resolution Hybrid Modeling Framework for Energy Digital Twins’ supported by the Ministry of Science and ICT and the Institute of Information and Communications Technology Planning and Evaluation (IITP).