Pawan Singh

Smart Microgrid Energy Management Using a Novel Artificial Shark Optimization

At present, renewable energy sources (RESs) integration using microgrid (MG) technology is of great importance for demand side management. Optimization of MG provides enhanced generation from RES at minimum operation cost. The microgrid optimization problem involves a large number of variables and constraints; therefore, it is complex in nature and various existing algorithms are unable to handle them efficiently. This paper proposed an artificial shark optimization (ASO) method to remove the limitation of existing algorithms for solving the economical operation problem of MG. The ASO algorithm is motivated by the sound sensing capability of sharks, which they use for hunting. Further, the intermittent nature of renewable energy sources is managed by utilizing battery energy storage (BES). BES has several benefits. However, all these benefits are limited to a certain fixed area due to the stationary nature of the BES system. The latest technologies, such as electric vehicle technologies (EVTs), provide all benefits of BES along with mobility to support the variable system demands. Therefore, in this work, EVTs incorporated grid connected smart microgrid (SMG) system is introduced. Additionally, a comparative study is provided, which shows that the ASO performs relatively better than the existing techniques.

Energy-aware online non-clairvoyant multiprocessor scheduling: multiprocessor priority round robin

In the current epoch, the energy consumption is a great concern in the online non-clairvoyant job scheduling. The online non-clairvoyant scheduling is studied less extensively than the online clairvoyant scheduling. The authors study non-clairvoyant scheduling problem of minimising the total prioritised flow time plus energy, where the jobs with arbitrary sizes and priorities arrive online. The authors consider unbounded speed model in multiprocessor settings, where the speed of m individual processors can vary from zero to infinity, i.e. [0, ∞) , to save the energy and to optimise the prioritised flow time plus energy. The authors consider the traditional power function P s = s α , where s is the speed of a processor and α  > 1, a constant. In this study, the authors introduce an online non-clairvoyant scheduling multiprocessor priority round robin (MPRR), which is O ( α ) -competitive; more precisely ( 2 α 2 / ( α − ( 1 / 2 ) ) ) -competitive, i.e. the competitive ratio is 5.33 for α  = 2 and 7.3 for α  = 3. In this study, the algorithm is studied using the potential analysis against an optimal offline adversary.

Optimal Power Flow Techniques under Characterization of Conventional and Renewable Energy Sources: A Comprehensive Analysis

The exhaustive knowledge of optimal power flow (OPF) methods is critical for proper system operation and planning, since OPF methods are utilized for finding the optimal state of any system under system constraint conditions, such as loss minimization, reactive power limits, thermal limits of transmission lines, and reactive power optimization. Incorporating renewable energy sources optimized the power flow of system under different constraints. This work presents a comprehensive study of optimal power flows methods with conventional and renewable energy constraints. Additionally, this work presents a progress of optimal power flow solution from its beginning to its present form. Authors classify the optimal power flow methods under different constraints condition of conventional and renewable energy sources. The current and future applications of optimal power flow programs in smart system planning, operations, sensitivity calculation, and control are presented. This study will help the engineers and researchers to optimize power flow with conventional and renewable energy sources.

Studies on Research and Development in Web Mining

World Wide Web has changing into one amongst the foremost comprehensive data resources. It most likely, if not perpetually, covers the data requirement for any user. However the net demonstrates several radical variations to traditional information containers such as databases in schema, volume, topic coherence etc. Web mining techniques could be applied to fully use web information in an effective and efficient manner, partially or completely. However, mining techniques are not the only tools to use web information efficiently but the mining techniques are the best solution. In this paper we study Web mining, Web mining categories and overview of various research issues and development efforts in web mining.