
In-Person event
Vulnerability Analysis in Power Systems and Cyber-Physical Energy Systems
March 13-14, 2024

In-Person event
Vulnerability Analysis in Power Systems and Cyber-Physical Energy Systems
March 13-14, 2024

In-Person event
Vulnerability Analysis in Power Systems and Cyber-Physical Energy Systems
March 13-14, 2024
Summary
In the presentation titled "Vulnerability Analysis in Power Systems and Cyber-Physical Energy Systems," Eric Tönges explores the intersection of power systems and cyber-physical systems (CPS), highlighting vulnerabilities introduced by the integration of information and communication technologies (ICT). While ICT enhances optimization opportunities, it also poses risks such as cyberattacks and system disruptions, necessitating comprehensive vulnerability analysis and mitigation strategies.
To gain deeper insights and access exclusive content, we encourage you to fill out the form and unlock more valuable information.
Challenge
The integration of ICT into power systems introduces complexities and vulnerabilities that traditional methods may not adequately address. Identifying and mitigating these vulnerabilities are crucial to preventing catastrophic disruptions and ensuring system resilience against emerging threats.
Solution
Eric Tönges proposes a methodology centered around vulnerability analysis and optimization techniques to address vulnerabilities in cyber-physical energy systems. Utilizing tools like pandapower and bi-level optimization approaches enables stakeholders to systematically identify and assess vulnerabilities. This approach facilitates proactive mitigation strategies by exploring worst-case scenarios and assessing their potential impacts on system operations.
Results
Through bi-level optimization techniques, stakeholders gain insights into critical vulnerabilities within cyber-physical energy systems. By modeling high-impact scenarios, they can develop robust mitigation strategies and enhance system resilience. The presentation demonstrates the effectiveness of optimization methodologies in addressing vulnerabilities, although challenges in computational complexity and scalability persist, necessitating ongoing research and innovation.
Eric Tönges concludes by emphasizing the importance of vulnerability analysis in safeguarding cyber-physical energy systems. By integrating optimization methodologies and leveraging tools like Panda Power, stakeholders can enhance their ability to mitigate risks and ensure the reliability of energy systems amidst evolving threats. Continued advancements will be crucial in maintaining the resilience of cyber-physical energy systems in an increasingly interconnected and digital landscape.
Summary
In the presentation titled "Vulnerability Analysis in Power Systems and Cyber-Physical Energy Systems," Eric Tönges explores the intersection of power systems and cyber-physical systems (CPS), highlighting vulnerabilities introduced by the integration of information and communication technologies (ICT). While ICT enhances optimization opportunities, it also poses risks such as cyberattacks and system disruptions, necessitating comprehensive vulnerability analysis and mitigation strategies.
To gain deeper insights and access exclusive content, we encourage you to fill out the form and unlock more valuable information.
Challenge
The integration of ICT into power systems introduces complexities and vulnerabilities that traditional methods may not adequately address. Identifying and mitigating these vulnerabilities are crucial to preventing catastrophic disruptions and ensuring system resilience against emerging threats.
Solution
Eric Tönges proposes a methodology centered around vulnerability analysis and optimization techniques to address vulnerabilities in cyber-physical energy systems. Utilizing tools like pandapower and bi-level optimization approaches enables stakeholders to systematically identify and assess vulnerabilities. This approach facilitates proactive mitigation strategies by exploring worst-case scenarios and assessing their potential impacts on system operations.
Results
Through bi-level optimization techniques, stakeholders gain insights into critical vulnerabilities within cyber-physical energy systems. By modeling high-impact scenarios, they can develop robust mitigation strategies and enhance system resilience. The presentation demonstrates the effectiveness of optimization methodologies in addressing vulnerabilities, although challenges in computational complexity and scalability persist, necessitating ongoing research and innovation.
Eric Tönges concludes by emphasizing the importance of vulnerability analysis in safeguarding cyber-physical energy systems. By integrating optimization methodologies and leveraging tools like Panda Power, stakeholders can enhance their ability to mitigate risks and ensure the reliability of energy systems amidst evolving threats. Continued advancements will be crucial in maintaining the resilience of cyber-physical energy systems in an increasingly interconnected and digital landscape.
Summary
In the presentation titled "Vulnerability Analysis in Power Systems and Cyber-Physical Energy Systems," Eric Tönges explores the intersection of power systems and cyber-physical systems (CPS), highlighting vulnerabilities introduced by the integration of information and communication technologies (ICT). While ICT enhances optimization opportunities, it also poses risks such as cyberattacks and system disruptions, necessitating comprehensive vulnerability analysis and mitigation strategies.
To gain deeper insights and access exclusive content, we encourage you to fill out the form and unlock more valuable information.
Challenge
The integration of ICT into power systems introduces complexities and vulnerabilities that traditional methods may not adequately address. Identifying and mitigating these vulnerabilities are crucial to preventing catastrophic disruptions and ensuring system resilience against emerging threats.
Solution
Eric Tönges proposes a methodology centered around vulnerability analysis and optimization techniques to address vulnerabilities in cyber-physical energy systems. Utilizing tools like pandapower and bi-level optimization approaches enables stakeholders to systematically identify and assess vulnerabilities. This approach facilitates proactive mitigation strategies by exploring worst-case scenarios and assessing their potential impacts on system operations.
Results
Through bi-level optimization techniques, stakeholders gain insights into critical vulnerabilities within cyber-physical energy systems. By modeling high-impact scenarios, they can develop robust mitigation strategies and enhance system resilience. The presentation demonstrates the effectiveness of optimization methodologies in addressing vulnerabilities, although challenges in computational complexity and scalability persist, necessitating ongoing research and innovation.
Eric Tönges concludes by emphasizing the importance of vulnerability analysis in safeguarding cyber-physical energy systems. By integrating optimization methodologies and leveraging tools like Panda Power, stakeholders can enhance their ability to mitigate risks and ensure the reliability of energy systems amidst evolving threats. Continued advancements will be crucial in maintaining the resilience of cyber-physical energy systems in an increasingly interconnected and digital landscape.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Pawit Singcornrum
Account Executive, Renewals-Japan

Pawit is originally from Thailand and holds a Bachelor degree in Business and Administration from Thailand and an Associate degree in Computer Science from Japan. He is an IT professional with over seven years of experience in account management and renewals across the Asia-Pacific region, including Japan, Thailand, Taiwan, and Hong Kong, combining technical expertise with a strong cross-cultural perspective.
Trilingual in Thai, English, and Japanese and specializing in building strong client relationships and driving successful renewal strategies across diverse markets with proven track record of managing accounts, supporting business growth, and delivering consistent value to customers.
In his free time, Pawit enjoys exploring emerging technologies such as AI models and AI agents, as well as developing creative skills like video editing.
David Torres Sanchez
Mathematical Optimization QA Engineer

David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
David Torres Sanchez
Mathematical Optimization QA Engineer

David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
David Torres Sanchez
Mathematical Optimization QA Engineer

David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
David Torres Sanchez
Mathematical Optimization QA Engineer

David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.

Account Executive, Renewals-Japan
Pawit Singcornrum
Pawit is originally from Thailand and holds a Bachelor degree in Business and Administration from Thailand and an Associate degree in Computer Science from Japan. He is an IT professional with over seven years of experience in account management and renewals across the Asia-Pacific region, including Japan, Thailand, Taiwan, and Hong Kong, combining technical expertise with a strong cross-cultural perspective.
Trilingual in Thai, English, and Japanese and specializing in building strong client relationships and driving successful renewal strategies across diverse markets with proven track record of managing accounts, supporting business growth, and delivering consistent value to customers.
In his free time, Pawit enjoys exploring emerging technologies such as AI models and AI agents, as well as developing creative skills like video editing.

Mathematical Optimization QA Engineer
David Torres Sanchez
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.

Mathematical Optimization QA Engineer
David Torres Sanchez
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.

Mathematical Optimization QA Engineer
David Torres Sanchez
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.

Mathematical Optimization QA Engineer
David Torres Sanchez
David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Pawit Singcornrum
Account Executive, Renewals-Japan

Pawit is originally from Thailand and holds a Bachelor degree in Business and Administration from Thailand and an Associate degree in Computer Science from Japan. He is an IT professional with over seven years of experience in account management and renewals across the Asia-Pacific region, including Japan, Thailand, Taiwan, and Hong Kong, combining technical expertise with a strong cross-cultural perspective.
Trilingual in Thai, English, and Japanese and specializing in building strong client relationships and driving successful renewal strategies across diverse markets with proven track record of managing accounts, supporting business growth, and delivering consistent value to customers.
In his free time, Pawit enjoys exploring emerging technologies such as AI models and AI agents, as well as developing creative skills like video editing.
David Torres Sanchez
Mathematical Optimization QA Engineer

David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
David Torres Sanchez
Mathematical Optimization QA Engineer

David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
David Torres Sanchez
Mathematical Optimization QA Engineer

David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.
David Torres Sanchez
Mathematical Optimization QA Engineer

David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.
In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.