Online Centralized Coordination of Charging and Phase Switching of PEVs in Unbalanced LV Networks With High PV Penetrations

Jabalameli, Nasim; Ghosh, Arindam

doi:10.1109/jsyst.2020.3000504

Cited by 15 publications

(10 citation statements)

References 39 publications

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“…For instance, a 30 kWDCFC can create a bulk load which is 20 times the power needed by a typical house [103]. As a result, high penetration of DCFCs may impact the grid by causing overloading, transients, and regulatory violations of the grid voltage and harmonics [104][105][106]. It should be noted that, based on the IEC standard 60,038, in an AC grid, the voltage fluctuation allowed is 10% of the nominal rms value, whilst based on the European EN 50,160 standard, this value can sometimes exceed to 15% [107].…”

Section: Fast Charger Architecture To Reduce Grid Impactmentioning

confidence: 99%

Review of Fast Charging for Electrified Transport: Demand, Technology, Systems, and Planning

2022

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As the number and range of electric vehicles in use increases, and the size of batteries in those vehicles increases, the demand for fast and ultra-fast charging infrastructure is also expected to increase. The growth in the fast charging infrastructure raises a number of challenges to be addressed; primarily, high peak loads and their impacts on the electricity network. This paper reviews fast and ultra-fast charging technology and systems from a number of perspectives, including the following: current and expected trends in fast charging demand; the particular temporal and spatial characteristics of electricity demand associated with fast charging; the devices and circuit technologies commonly used in fast chargers; the potential system impacts of fast charging on the electricity distribution network and methods for managing those impacts; methods for long-term planning of fast charging facilities; finally, expected future developments in fast charging technology and systems.

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Section: Fast Charger Architecture To Reduce Grid Impactmentioning

confidence: 99%

Review of Fast Charging for Electrified Transport: Demand, Technology, Systems, and Planning

2022

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“…EVs' potential to suppress the voltage rise resulting from high PV penetrations has recently attracted attention, and only a few studies have paid attention to the role of EVs on voltage unbalance reduction. In [19,20], EVs are used as one of the control variables in the optimisation problem to limit the voltage unbalance by optimally selecting the state of EV, EV point of connection, and charging/discharging rating power. However, these methods affect customers' comfort and demand monitoring and control infrastructure that outstripping the capability of the coordination scheme to reach hundreds to thousands of EVs in a given power distribution system.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The generated active power is divided equally between the three phases, and the reactive power can be distributed among the PV inverter phases with different ratios depending on the assigned power factor (PF abc i ) value which is constrained by (18). Therefore, the bus (i) where the PV system is connected would be considered as a load bus in load flow calculation, where the active output power of PV (P abc pv_i ) is known, and the reactive power (Q abc pv_i ) can be calculated using (19). To design a reliable and realistic optimisation model, only large scale (> 50 kW) residential or commercial PV systems can be included in the optimisation model.…”

Section: • Pv Invertermentioning

confidence: 99%

“…Besides that, mathematical optimisation techniques cannot be properly used in the application of power distribution systems because of the massive number of complex assets (i.e., integer variables such as OLTC and EV connected phase) and unbalanced operation, which make the optimisation problem harder to be solved. Therefore, the development in computational intelligence with the advent of parallel processing capabilities and supercomputer use made meta-heuristic methods possible for real-time optimisation applications, such as [19,39].…”

Section: Proposed Solution Of Advanced Hybrid Swarm Optimisation (Ahpso)mentioning

confidence: 99%

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Optimal coordination of unbalanced power distribution systems with integrated photovoltaic systems and semi‐fast electric vehicles charging stations

Alabri

Jayaweera

2022

IET Generation Trans & Dist

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Increased integration of photovoltaics (PVs) systems and charging stations for electric vehicles (EVs) has led to a substantial increase in the level of voltage unbalance beyond the acceptable limit. Ordinary voltage regulation devices such as on-load tap changers (OLTCs) and distribution static synchronous compensator (DSTATCOM) are sometimes incapable of adequately addressing this issue without proper coordination with PVs and EVs. This paper presents a novel real-time optimal coordination scheme to determine the tap position of OLTC, the amount of reactive power to be exchanged by DSTATCOM and a PV inverter, and the phase connection of EVs. The proposed scheme aims to maintain the voltage magnitude and voltage unbalance within the statutory limit while minimising the power losses in an active unbalanced power distribution system. Advanced and hybrid particle swarm optimisation (AHPSO) algorithm is also developed to solve the optimisation problem, and its robustness in comparison with other techniques is verified. The impact of uncoordinated voltage control and proposed control on voltage unbalance and power losses are investigated. Time-series simulations confirm the significance and scalability of the developed coordination control scheme on IEEE 37-node and IEEE 123-node test feeders with real data and different PV penetration levels.

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“…However, the stochastic nature of PEVs with their various charging schemes can cause several operational problems in the distribution systems. The most common problems are voltage violations, high losses, and line congestions, especially in the case of employing uncontrolled charging schemes of PEV batteries [16].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Photovoltaic and Wind Generation Systems for Autonomous Microgrids With PEV-Parking Lots

Ali

Mahmoud

Lehtonen

2022

IEEE Systems Journal

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Lately, the integration of renewable energy sources (e.g. photovoltaic and wind generation systems) has been raised into microgrids interconnected with plug-in electric vehicles (PEV). Such intermittent generation and charging/discharging PEV profiles are challenging to ensure the secure and optimal operation of microgrids. In this paper, an optimization approach is proposed to determine the optimal locations and sizes of photovoltaic and wind generation systems in microgrids with PEV-parking lots. The developed approach addresses 1) the uncertainty of generation profiles of photovoltaic and wind generation systems and loads, 2) the DSTATCOM feature of photovoltaic and wind generation systems, and 3) microgrid constraints. The feasible PEV conditions are also considered, i.e. initial and preset conditions of their state of charge (SOC), arriving and departing times, and various controlled/uncontrolled charging schemes. To solve the planning model, we have developed a bi-level metaheuristic-based approach. The upper-level and lower-level optimization tasks are to optimize the decision variables of renewable energy sources and PEV, respectively. Both energy losses through the lines and energy from the main grid are considered as sub-objectives to be minimized. Various simulations and study cases are performed to assess the effectiveness of the proposed approach. The outcomes show the efficacy of the proposed approach to simultaneously plan renewable energy sources and manage PEV to form an autonomous microgrid.

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Online Centralized Coordination of Charging and Phase Switching of PEVs in Unbalanced LV Networks With High PV Penetrations

Cited by 15 publications

References 39 publications

Review of Fast Charging for Electrified Transport: Demand, Technology, Systems, and Planning

Review of Fast Charging for Electrified Transport: Demand, Technology, Systems, and Planning

Optimal coordination of unbalanced power distribution systems with integrated photovoltaic systems and semi‐fast electric vehicles charging stations

Optimization of Photovoltaic and Wind Generation Systems for Autonomous Microgrids With PEV-Parking Lots

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