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Salp swarm algorithm for optimal load balancing in low voltage networks Ibrahim Altawil; Ehab Obeidat; Khaled A. Mahafzah; Zaid Albataineh
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 4: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i4.pp2506-2514

Abstract

Distribution networks for low voltage (LV) are three-phase networks. It mostly serves single-phase end customers with a variety of load characteristics. Because each customer's load behavior differs, the current on the LV networks feeder is shared unequally, leading in an im-balance problem. This research investigates an efficient distribution of single-phase loads amongst three phase networks using the salp swarm algorithm (SSA) to phase swap consumers between phases. Customers are rearranged and their loads are switched from heavy to light to achieve phase shifting. Jordan's electricity distribution company (EDCO) has provided a full load feeder as a case study. The results of switching loads to a three-phase feeder show that the im-balance index and power losses can be decreased significantly.
Optimization of fractional order PI controller to regulate grid voltage connected photovoltaic system based on slap swarm algorithm Ibrahim Altawil; Mohammad Awad Momani; Mahamood A. Al-Tahat; Raed Al Athamneh; Mohammed Adnan Al-Saadi; Zaid Albataineh
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 2: June 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i2.pp1184-1200

Abstract

Problems with voltage and stability have arisen as a result of the dramatic development in renewable energy generating units, notably solar energy systems linked to low and medium voltage networks, and the influence of active loads that vary rapidly from time to time during the day. Because reactive power is directly proportional to voltage, its use to renewable energy producing units can only improve their efficiency. Better performance for these controllers is possible via the usage of several controller types. In this paper, we use a salp swarm optimization algorithm (SSA) to design fractional order proportional-integral (FO-PI) controllers, whose job it is to regulate the active and reactive power of solar inverters by compensating for the overvoltage and undervoltage presented by the inverters' ability to absorb and produce reactive power. After that, we compared the FO-PI controller's results to those of the standard PI controller. Grid-connected photovoltaic (PV) system modeling and simulation were performed using the MATLAB/ Simulink modeling and simulation tools. After that, the full PV system was simulated in the most likely situations across a range of grid and weather conditions. We may infer from the simulation results that this model is credible, reliable, and applicable to the analysis of grid-connected PV systems.