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Communication plays a vital role in incorporating smartness into the interconnected power system. However, historical records prove that the data transfer has always been vulnerable to cyber-attacks. Unless these cyber-attacks are identified and cordoned off, they may lead to black-out and result in national security issues. This paper proposes an optimal two-stage Kalman filter (OTS-KF) for simultaneous state and cyber-attack estimation in automatic generation control (AGC) system. Biases/cyber-attacks are modeled as unknown inputs in the AGC dynamics. Five types of cyber-attacks, i.e., false data injection (FDI), data replay attack, denial of service (DoS), scaling, and ramp attacks, are injected into the measurements and estimated using OTS-KF. As the load variations of each area are seldom available, OTS-KF is reformulated to estimate the states and outliers along with the load variations of the system. The proposed technique is validated on the benchmark two-area, three-area, and five-area power system models. The simulation results under various test conditions demonstrate the efficacy of the proposed filter.

In June 2021, UNESCO IOC approved the Ocean Decade Tsunami Programme (ODTP) in response to the call to action by the UN Ocean Decade of Ocean Science for Sustainable Development (2021-2030). The ODTP has two overarching goals: (1) develop the warning system’s capability to issue actionable and timely forecasts for tsunamis from all identified sources for all communities at risk, and (2) 100% of communities at risk are prepared and resilient to tsunamis by 2030. In 2022, a Scientific Committee for ODTP was established to develop a 10-Year Research, Development and Implementation Plan to reach these two objectives. This presentation will focus on three of the four areas of the plan:-Enhance tsunami risk assessments and research on technologies, so the countries know their expected vulnerability and threat (tsunami characteristics), and can identify and prioritize the at-risk communities.-Ensure all National Tsunami Warning Centres have access to data, tools and communication platforms, protocols and training to timely and effectively warn coastal and maritime communities threatened by tsunamis and other coastal hazards that are integrated into a multi-hazard framework.-Emphasize the importance of building tsunami resilient communities that are prepared and ready to respond through the UNESCO IOC Tsunami Ready Recognition Programme.Tsunami Ready is a global, voluntary community-based effort approved in 2022. It has 12 indicators categorized into Assessment, Preparedness and Response, and thus addresses all of the three aforementioned areas of the Plan. The objectives will be achieved through involvement of stakeholders at all levels and attention on capacity development and governance., The 28th IUGG General Assembly (IUGG2023) (Berlin 2023)

Tsunamis are one of the most devastating natural disasters, causing widespread destruction and loss of life. In recent years, advances in science and technology have led to the development of sophisticated tsunami early warning systems, with promising operational applications. However, much work remains to be done in order to further improve the accuracy and timeliness of warning systems, and for enhancing the preparedness of at-risk communities. In December 2017, the U.N. proclaimed the Decade of Ocean Science for Sustainable Development (2021–2030), also referred to as the Ocean Decade. The Ocean Decade Tsunami Programme (ODTP) approved by the UNESCO IOC in 2021 in response to the call to Ocean Decade action provides an excellent framework for international cooperation to enhance the end-to-end tsunami early warning and mitigation systems.The main objectives of the ODTP are (i) to develop the warning systems’ capability to issue actionable and timely tsunami warnings for tsunamis from all identified sources to 100% of coasts at risk and (ii) 100% of communities at risk to be prepared and resilient to tsunamis by 2030 through programmes like the UNESCO IOC Tsunami Ready Recognition Programme. A Research, Development and Implementation Plan is being prepared by the ODTP Science Committee highlighting the goals, status, challenges, potential solutions and implementation pathways for enhancing (i) risk knowledge, (ii) detection, analysis and forecasting, (iii) warning dissemination and communication, and (iv) preparedness and response capabilities. The plan also highlights capacity development needs, governance aspects and international cooperation in achieving the objectives of the ODTP., The 28th IUGG General Assembly (IUGG2023) (Berlin 2023)

International audience; [No abstract available]

Increased renewable energy additions and load fluctuations in the power system lead to large frequency fluctuations due to intermittent nature of renewable energy systems. The main scope of this paper is to regulate the frequency deviations in the power system by automatically controlling speed governor of thermal power plant. A nonlinear disturbance observer (NDO) has been used to find the net disturbance as well as those results of the frequency deviation are estimated with same method NDO. For controlling the system frequency of a new approach, control method is developed with higher-order sliding mode control (HOSMC). This proposed idea of frequency regulation is evaluated for single-area hybrid power system for various working methods. System output characteristics are shows the superior performance of the HOSMC for better power system operation.

This paper presents novel dynamic cyber-attack detection in automatic generation control (AGC) using support vector machine (SVM). The basic idea of attack detection is based on the pattern recognition of the residual signal of the linear observer designed to estimate the states of the AGC system. Features are extracted from the residual and its derivative signal and are trained using SVM. The proposed idea is tested for various types of attack signals