3 research outputs found

    Frequency control of hybrid power system with fractional order secondary controller using improved biogeography-based krill herd algorithm

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    To meet the demand of electrical power, structural changes of the power system from the generation side are necessary by integrating the renewable sources into the existing system. In the presence of renewables, the active power imbalances caused by both generation and demand are reduced with the classical units (like thermal) since the wind speed and irradiance (inputs of wind and solar plants) are volatile and nonlinear in nature. The frequency deviations triggered by such active power imbalances of the hybrid power system integrated with both conventional and renewable energy plants are minimized with better secondary control schemes. Therefore, this article suggests fractional order secondary controller (FOSC) for conventional units of the interconnected power system to strengthen the frequency stability of the system during the demand perturbations. The optimal gains of the FOSC are identified with an improved biogeography-based krill herd optimizer with the help of the performance indicator integral square error. To elevate the improvements of FOSC, comparisons are provided with classical controllers during the simple, random load perturbations with and without generation changes. Furthermore, sensitivity analysis on system parameters is performed to show the robustness of the FOSC over classical control strategies

    Lime-Stabilized Solid-Waste Blends as Alternative Building Blocks in Construction

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    Stabilized blocks have been gaining ground in recent times. Stabilized solid waste blocks provide an eco-friendly alternative to conventional fired bricks. The present investigation dealt with the development of lime stabilized blended solid waste blocks comprising fly ash (FA), steel slag (SS) and phosphogypsum (PG). The PG content was limited to 10% and the proportion of FA:SS was varied in the remaining 90% in the ratios of 1:2, 1:1 and 2:1. The blends were stabilized using 2%, 4% and 6% lime. The blends were dry mixed, followed by the addition of a sufficient quantity of water to obtain a uniform wet mix. This mix was then packed into moulds to cast blocks. The blocks were demoulded after 24 hours under wet gunny bags and cured in water for 7 days. Similarly, the blends were also mixed with sand to prepare solid waste mortars blocks and cured for 7 days. At the end of their stipulated curing periods, the stabilized solid waste blocks and mortar blocks were tested for their compressive strength. The results of the investigation revealed that the mix LFSP621 developed the maximum strength of all combinations tested and hence, it can be concluded that the solid waste blend consisting of 60% FA, 30% SS and 10% PG stabilized with a further 6% lime by weight of the solid waste mix was the most optimal mix for developing maximum strength of the solid waste blocks. The mortar blocks, however, met with limited success. Thus, it can be concluded that stabilized solid waste blocks can become an effective alternative building material

    Capabilities of Gen AI

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    In an era of rapid technological advancement, the field of Generative Artificial Intelligence (GenAI) has become a focus of innovation and exploration. While technologies, such as ChatGPT, have attracted significant attention, there remains an urgent need for a comprehensive capability map that describes the potential applications and value propositions of GenAI for enterprises and larger endeavors. This paper fills this gap by presenting a detailed capability map for GenAI, outlining its diverse applications and highlighting the untapped opportunities for utilizing these technologies in various fields. By explaining the countless possibilities of GenAI beyond ChatGPT and similar applications, this capability map aims to provide clarity and guidance for organizations looking to leverage the transformative potential of these technologies for their operational and strategic initiatives
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