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    • List of Articles Mohammad Javad Kiani

      • Open Access Article

        1 - Electrical Energy Management of Industrial Consumers to Increase Profitability with an Optimal Control Strategy - a case study
        Mahmoud Zadehbagheri Mohammadjavad Kiani Ali Asghar Ghanbari
        Mutual cooperation between the power distribution companies and industrial consumers is of special importance in promoting efficient load management. Due to this, the purpose of this paper is to study the effects of load management practices on consumers using an optima More
        Mutual cooperation between the power distribution companies and industrial consumers is of special importance in promoting efficient load management. Due to this, the purpose of this paper is to study the effects of load management practices on consumers using an optimal control strategy. By using this strategy, the distribution company controls consumption of industrial consumers in two ways: time transfer of load and optimization of consumption. For this study, the distribution company is assumed as the controller and two industrial consumers are considered as the consumers controlled of the problem. First, using this strategy, the load management of consumers is studied static. In static load management, industrial consumers (controlled) present the amount of power consumption needed for the next day to the distribution company (controller) from the day before and determine how the power consumption changes during the day and night. In this case, the controller offers suggestions to minimize the financial loss or increase the benefit for the consumers. Then the controller determines the pattern of power consumption for two industrial consumers during 24 hours a day and obtains the optimal power consumption for each of consumers. In the following, load management is examined dynamic. In this case, unlike static load management, electricity distribution companies determine how and the pattern of power consumption for consumers during 24 hours a day. In this way, according to the electricity market price in the next half hour and also the information provided by the consumers controlled ones from their factories, the controllers get the optimal amount of power consumption for each of the industrial consumers. The controller then encourages consumers to follow this optimal consumption reference by defining incentives. In order to investigate the role of mutual cooperation between distribution companies and industrial units, two different scenarios are considered. One is complete cooperation between the controller and the consumer, and the other is non-cooperation between them. Finally, using the simulation results, the effects of load management in improving power consumption in two scenarios will be investigated in terms of consumer profitability. Manuscript profile
      • Open Access Article

        2 - Optimal fault-location in smart grids with bfa and ts algorithms with the approach of reducing losses and network costs
        Mahmoud Zadehbagheri Mohammadjavad Kiani
        The smart grid is actually the result of the integration of the structures of the power system and its communication structures, and this is the key point in the implementation of smart grid projects. This means that the integration of electricity production and distrib More
        The smart grid is actually the result of the integration of the structures of the power system and its communication structures, and this is the key point in the implementation of smart grid projects. This means that the integration of electricity production and distribution reduces the costs of implementing a smart network, and in this regard, the preparation of the telecommunication platform is one of the most necessary requirements for moving in the direction of smartening the network. The ability to locate the fault and restore the power supply in time is one of the important indicators of a strong smart grid. Especially when a large number of DGs are connected to the system, the network structure and working mode will change, and the demands on the traditional fault location method will increase. In this article, due to the difficulty of using the traditional fault location method in distribution networks with DG, two smart algorithms, TS and BFA, have been used for fault location in this type of networks. So that the location of dynamic distributed generation sources such as wind turbines is done first, then their effect on providing the load profile in the presence of distribution network faults is discussed. The results of the simulation confirm the correctness and correctness of the performance of the proposed method, so that the case studies conducted can open the way for engineers to evaluate new fault. Manuscript profile