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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS)
Mehrdad Hojjat
Islamic Azad University
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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A comprehensive fuzzy-based scheme for online detection of operational and topological changes Amin Damanjani; Mohamad Hosseini Abardeh; Azita Azarfar; Mehrdad Hojjat
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 4: August 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i4.pp3396-3409

Abstract

Operational modes and topological changes affect power flow in the power systems. As a result, a broad spectrum of protection issues may happen in the power system. So, both the operational and topological changes should be detected fast to prevent blackouts. On the other hand, the existing detection schemes are complex in analyzing and implementation. Therefore, there is a need for an online scheme to identify the network's topology and operation mode simultaneously without complex computations and additional communication infrastructures. To this end, a comprehensive scheme is proposed in which the changes are detected by analyzing the power flow obtained from the network. For this purpose, line outage contingencies and operation modes are defined in rules to be used in a fuzzy inference system (FIS) as a decision-making tool. The proposed scheme can be implemented on existing lines as a communication infrastructure and determines the network’s status in an online manner. Also, in comparison to the existing schemes, the proposed scheme reduces the complexity and the computational burden. The proposed scheme is implemented on IEEE 8-bus system and the results proved its efficiency.
Design of a photovoltaic MPPT charge controller using DC-DC ZETA converter with a modified three-stage charging method Sina Semeskandeh; Mehrdad Hojjat; Mohamad Hosseini Abardeh
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 3: September 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i3.pp1887-1894

Abstract

Nowadays, one of the primary kinds of renewable energies is photovoltaic (PV) systems. In standalone PV systems, the battery charge controller plays an important role in the system efficiency. In the maximum power point tracking (MPPT) charge controller, due to adjusting the voltage level and tracking the maximum power, DC-DC converter and MPPT algorithm are used. ZETA converter, as a DC-DC converter, offers a low output ripple. In the proposed MPPT charge controller, a DC-DC ZETA converter accompanied by a perturb and observe (P&O) algorithm will be used for tracking maximum power. Furthermore, over-charging and gassing are phenomena that may reduce the battery life by increasing the battery's temperature. To overcome this obstacle, the proposed three-stage charging method, which is the battery charging voltage levels (bulk, absorption, and float) are based on the battery temperature. The proposed MPPT charge controller is used for providing lower temperature for the battery when being charged. By comparing the proposed MPPT charge controller with the conventional method, the simulation results can ensure the desired performance of the proposed charge controller.
An integrated home energy management system by the load aggregator in a microgrid using the internet of things infrastructure Seyed Ali Hosseini; Mehrdad Hojjat; Azita Azarfar
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 6: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i6.pp6796-6805

Abstract

Smart technologies enable the significant participation of consumers in demand-side management programs. In this paper, the management of electrical energy consumption for a set of residential houses in a microgrid by a load aggregator for a 24-h planning horizon is studied. In this study, consumption management programs are implemented on controllable equipment by sending binary codes by the load aggregator via the internet of things (IoT) infrastructure to residential sockets. To increase the level of customer convenience and provide more flexibility for consumers to participate in demand response programs, a parameter called the value of lost load (VOLL) has been introduced. According to the results, in addition to no need to use the energy management system for each residential house, only by moving shiftable loads to off-peak hours, 18.34% of energy consumption costs are saved daily. Also, from the load aggregator’s viewpoint for every 10% change in status from normal to the scheduled priority, there is a reduction of about 3.4% in the consumer’s peak-load cost. If solar arrays and storage resources are used, more than 18% of the total consumption cost can be saved.
Co-Authors Amin Damanjani Azita Azarfar Mohamad Hosseini Abardeh Seyed Ali Hosseini Sina Semeskandeh