Post-earthquake fires (PEFs) pose a significant secondary hazard in earthquake-prone regions, compounding the destruction caused by seismic events and threatening structural safety. This review explores the interplay between seismic damage and fire resistance, focusing on ignition sources such as damaged utility systems and overturned appliances, and their cascading effects on structural integrity. Advanced performance-based design approaches are evaluated, emphasizing the integration of probabilistic risk assessments, sequential analysis, and hybrid fire simulations to address multi-hazard scenarios. Key findings of current studies reveal that seismic damage, including spalling, cracking, and loss of fireproofing, substantially reduces the fire resistance of materials like steel and reinforced concrete, exacerbating structural vulnerabilities. Despite advancements, critical gaps persist in experimental data, probabilistic modeling, and comprehensive performance-based design guidelines for PEF scenarios. Addressing these deficiencies requires enhanced data collection, improved modeling techniques, and the integration of PEF considerations into building codes. This study provides a comprehensive review of PEF damage assessment and underscores the need for a holistic, multi-hazard design paradigm to enhance structural resilience and ensure safety in regions subject to seismic and fire risks. These insights provide a foundation for future research and practical applications aimed at mitigating the compounded effects of earthquakes and fires.

Autoregressive modeling, due to its forecasting capability and Wavelet Transform with ability of non-stationary signal analysis, both seem to be proper tools to analyze the systems' transients. Inrush current as a transient, single-handedly is potential to cause problems. Further, wrong discrimination of internal fault and inrush currents may cause wrong operation of protection devices. Differences in protective reactions necessary for internal faults and inrush currents introduce us to the importance of discrimination. This study attempts to scrutinize the performance of Wavelet Transform and AR modeling in the distinction investigation. To accomplish this goal, Fault and Inrush currents spectra have been computed and estimated by AR modeling and WT is applied to the same system. Hence, Fault current and Inrush current spectra and the pertinent coefficients have been computed and estimated by AR modeling and the Multi-Resolution Analysis (MRA) is done for the same system Observing differences between output spectra of AR modeling for inrush and fault cases, have provided an approach for discrimination of these two that makes the decision process trustee, consequently.

Since some grounding transformers seem to be damaged due to the failure of the medium voltage cables in Turkey’s 1st region, it is necessary to investigate the system behavior, thoroughly. The main substation is modeled in detail, as well as the high voltage and medium voltage equipment connected to this. The Wye-delta transformer is grounded by a Zig-Zag transformer on the delta side. However, records indicate that the grounding Zig-Zag transformer was damaged by high fault currents on the medium voltage side. An appropriate and feasible solution is proposed by simulating and analyzing the possible scenarios. PSCAD software is used to simulate the event and examine the proposed solution. The final step of the analysis is to validate the results related to fault currents using the real-time simulation tool, RTDS through RSCAD software.

Long-term, regular, grid-aware participants are one of the cornerstones of demand management activities that provide grid services. However, voluntary participation to demand management activities is still at low rates, while most customers are not sufficiently aware of the management potential of their flexible loads. Smart metering and data post-processing play a vital role in demand management programs to visualize consumption profiles, highlight flexibility potential and evaluate load management performance of customers. Additionally, gamification techniques can be employed to motivate users to achieve behavioral changes in their consumption profiles, providing financial and social incentives. Long-term field demonstrations and exploration of detailed evaluation metrics have been the main gaps in this area of study. This paper presents and discusses the results of a 13-month field demonstration of a gamified residential demand management platform. 4-month monitoring period is followed by a 9-month gamification period in four houses in Istanbul, Turkey.

The study of electromagnetic transient phenomena plays a crucial role in the planning, operating, and maintenance of power systems, particularly with respect to insulation coordination. This paper focuses on the challenges of switching overvoltages in high-voltage systems with focus on those involving shunt reactors, which are prone to frequent switching. A primary concern is the transient recovery voltage (TRV) experienced by circuit breakers during interruptions, which can significantly impact system reliability and equipment safety. We introduce a novel approach to predict and analyze TRV in shunt reactor circuit-breakers by incorporating specific mitigation techniques such as the addition of resistance and grading capacitors. These techniques are demonstrated to effectively reduce TRV levels, enhancing the operational safety and reliability of high-voltage transmission systems. This contribution, critical to advancing the field of power system transients, provides a significant improvement over traditional methods by offering a refined model for TRV assessment and mitigation. The effectiveness of these methods is validated through detailed simulation studies using PSCAD, considering various operational scenarios that reflect real-world conditions.