Browsing by Author "Shafiullah, Md"

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    Optimal Placement of Phasor Measurement Units for Transmission Grid Observability
    (IEEE, 2016-10-28) Shafiullah, Md; Rana, Md Juel; Alam, Md Shafiul; Uddin, Muhammad Athar
    Phasor Measurement Unit (PMU) provides both magnitude and phase information of current and voltage signals with appropriate time stamp which is very useful in controlling power system networks in real time. Consequently, PMU is considered as one of the most significant measurement devices for complete observability of the future electricity grids. But placing PMU in every bus of the network is not economically viable. This paper aims to place PMUs in different buses of electric network to ensure full network observability employing five evolutionary, colony and swarm optimization algorithms namely backtracking search algorithm (BSA), differential evolution (DE), artificial bee colony (ABC), particle swarm optimization (PSO) and invasive weed optimization (IWO). The proposed algorithms have been tested on IEEE 14-bus, 30-bus, 39-bus and 57-bus test networks. The obtained results illustrate the compatibility of the proposed schemes in compared to each other as well as in compared to available techniques in literatures.
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    Switching Signal Reduction of Load Aggregator with Optimal Dispatch of Electric Vehicle Performing V2G Regulation Service
    (IEEE, 2016-10-28) Alam, M. Shafiul; Shafiullah, Md; Rana, Md Juel; Javaid, M. S.; Irshad, Usama Bin; Uddin, Muhammad Athar
    Environmental concerns over the production of greenhouse gas have led to the development of environmental friendly transportation such as electric vehicle (EV). As the number of EVs is increasing day by day, it will have a great impact on grid operation and electricity market. Significant amount of EV charging during peak hour will cause branch congestions and low voltage. Moreover, high penetration of EVs plays an important role in altering electricity price. Thus, optimal scheduling of EVs charging is inevitable from the perspective of both system reliability and market. Load aggregators can combine the capacities of many EVs to participate in wholesale energy market. In this paper, optimal dispatch algorithm of EVs is developed and tested on a system consisting 1000 EVs. The advantage of the algorithm is that it requires less number of communication signals and less expensive infrastructure. EVs are turned on and turned off in binary fashion based on priority to follow the regulation signal.