Integration of distributed generations by coordinating electric vehicle charging station in medium voltage network by Swarm intelligence Sagarika Rout, Gyan Ranjan Biswal World Journal of Engineering, 2023 Purpose Notable energy losses and voltage deviation issues in low-voltage radial distribution systems are a major concern for power planners and utility companies because of the integration of electric vehicles (EVs). Electric vehicle charging stations (EVCSs) are the key components in the network where the EVs are equipped to energize their battery. The purpose of this paper is coordinating the EVCS and distributed generation (DG) so as to place them optimally using swarm-based elephant herding optimization techniques by considering energy losses, voltage sensitivity and branch current as key indices. The placement and sizing of the EVCS and DG were found in steps. Design/methodology/approach The IEEE 33-bus test feeder and 52-bus Indian practical radial networks were used as the test system for the network characteristic analysis. To enhance the system performance, the radial network is divided into zones for the placement of charging stations and dispersed generation units. Balanced coordination is discussed with three defined situations for the EVCS and DG. Findings The proposed analysis shows that DG collaboration with EVCS with suitable size and location in the network improves the performance in terms of stability and losses. Research limitations/implications Stability and loss indices are handled with equal weight factor to find the best solution. Social implications The proposed method is coordinating EVCS and DG in the existing system; the EV integration in the low-voltage side can be incorporated suitably. So, it has societal impact. Originality/value In this study, the proposed method shows improved results in terms EVCS and DG integration in the system with minimum losses and voltage sensitivity. The results have been compared with another population-based particle swarm optimization method (PSO). There is an improvement of 18% in terms of total power losses and 9% better result in minimum node voltage as compared to the PSO technique. Also, there is an enhancement of 33% in the defined voltage stability index which shows the proficiency of the proposed analysis.
Bidirectional EV integration in home load energy management using swarm intelligence Sagarika Rout, Gyan Ranjan Biswal International Journal of Ambient Energy, 2022 AbstractA swarm-based meta-heuristic search approach has been adopted in this study for Home Load Energy Management set-up (HLEMs) to schedule smart appliances with minimum energy bills utilising the bidirectional energy flow of Electric Vehicles (EV). The Instant state of charge (IOC) level of EV is utilised to achieve the proper scheduling of home loads by considering the energy threshold with a cost-effective user opulence. The problem objective is formulated with a meta-heuristic population-based elephant herding optimisation technique to schedule the home loads along with the EV to incur a minimum bill of daily energy expenditure and also to enhance the utilisation of daily average power by minimising the peak to average ratio of a typical smart home. The analysis has been compared with the Grey Wolf Optimisation scheduling technique to prove the proficiency of the proposed method.KEYWORKS:: Home load energy managementelectric vehicleschedulingelephant herding techniqueinstant-state of charge (IOC)home loads Disclosure statementNo potential conflict of interest was reported by the author(s).
Amalgamation of Electric Vehicles in an Active Low Voltage Network for Load Management Sagarika Rout, Naveenkumar Marati, Gyan Ranjan Biswal 2021 International Conference on Sustainable Energy and Future Electric Transportation Sefet 2021, 2021 The photovoltaic (PV) system inclusion in the distribution network is the great deal to handle the inadequacy of energy demand. However, the increased penetration is being questioned in low voltage (LV) networks, such as reverse power flow, frequency and voltage variation. In order to handle the clean energy electric vehicles (EVs) amalgamation in the active low voltage network (ALVN) is analyzed in this paper. The EV battery is utilized as active element to act as load/source accordingly. The EV control rely on state of charge (SoC), network voltage level and the PV output power. The PV system is considered with maximum power point tracking (MPPT) algorithm. Different scenarios have been incorporated on a PV based active distribution network with an IEEE 33 bus radial system using MATLAB/Simulink. The results show EV and PV assisted each other successfully to track the demand and generation in terms of under/over voltage situations in the network.
Optimal scheduling of deferrable loads in home energy management system using elephant herding optimization Sagarika Rout, Gyan Ranjan Biswal, Ronali Madhusmita Sahoo 2020 IEEE International Conference on Computing Power and Communication Technologies Gucon 2020, 2020 Smart home is the key structure in energy management system (EMS) which help to reshape the residential load curve by scheduling the home appliances without any extra cost. The domestic load can be rescheduled when the power supply provides incentive in terms of slot base tariff. In this study, a population intented metaheuresstic elephant herding optimization (EHO) algorithm is used for domestic loads suitably scheduled by minimizing the electricity cost while considering the consumers' uses preferences. Two types of cost function: Time of Use (TOU) and Critical Cost Pricing (CCP) are used and analyzed separately. The result is compared with Gray Wolf Optimization (GWO) algorithm and reveals better performance.
Hosting Capacity Assessment of Electric Vehicles Integration in Active Distribution System Sagarika Rout, GyanRanjan Biswal Journal of Physics Conference Series, 2020 The current article aims to assess the effects of electric vehicles (EV) integration in distribution networks, considering the initial state of charge (SOC) and charging level type. The increase engrossment for the incorporation of larger numbers of EVs in low voltage (LV) networks causes a significant overload and voltage fluctuation in the system because of the synchronization condition of domestic load peak time and EV charging time. The effect on the system is analyzed by determining the total hosting strength of the LV active network for a different level of EV penetration. Two different Load model for slow and fast charging EV is considered along with an initial state of charge (SOC) condition. The hosting capacity is affected not only by the penetration level of EV but rather; it also depends upon SOC condition and type of charger. Moreover, the methodology is proficient enough to give sufficient and reliable information so as to flexible for the control in real time scenario in the smart grid execution.
