This study presents conceptual research designed to assess how the sharing economy concept can be leveraged to increase the participation of commercial organisations, such as retailers and transporters, in disaster relief operations. Drawing on social exchange theory, the academic literature on the sharing economy and blockchain, as well as existing resource‐sharing practices in commercial and humanitarian logistics, the study develops a theoretical framework for analysing the structure, benefits, and prerequisites of a logistics‐sharing system in emergency response. In addition, it proposes to utilise the blockchain distributed ledger technology—a shared data platform that enables authenticated communication and the widespread sharing of real‐time information—to facilitate interactions and enhance trust between emergency responders and commercial organisations. It is argued that using commercial logistics resources, including emergency supplies, transport capacity, and storage space, has the potential to improve the mobilisation and deployment of urgently needed relief items and augment the flexibility of emergency response.

Abstract--This paper reports a method to evaluate composite power system reliability indices incorporating the voltage stability margin criteria. To compute the load curtailment evaluation, an optimal power flow (OPF) computation algorithm, considering the steady state voltage stability margin constraint is developed. A steady state voltage stability indicator is first discussed for its applicability as a suitable indicator for representing stability margin from the collapse point. The load curtailment formulation is then evolved and described into the OPF's objective function. A criterion based on the voltage stability indicator is then incorporated as an additional constraint into the OPF. A numerical example has been used to illustrate the effect of the algorithm on the composite system reliability evaluation. The Expected Energy Not Served (EENS) and down time is computed, both analytically and by the Monte Carlo Simulation.

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Abstract--This paper investigates how to detect a dynamic voltage collapse situation. The generator and governor dynamics are considered in the simulation process. An index proposed earlier has been investigated for its applicability to indicate the collapse situation. Time domain simulations, using a commercial software EUROSTAG, has been carried out in this work. The test result reflects the applicability of the index during the line loss, slow increasing loading and step loading situations. The paper also brings out the details of the simulation setup used, which would help others in carrying out further simulations and investigation.Index Terms-Voltage stability, dynamic voltage collapse, EUROSTAG, security assessment.I.

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