Assessing electric mobility and renewable energy synergy in a small New Caledonia Island community

Babonneau, Frédéric Louis François; Chotard, David; Haurie, Alain

doi:10.1080/15435075.2023.2220052

Cited by 2 publications

(1 citation statement)

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“…In the case of transportation, in recent years, the transition from fossil fuelbased methods to electrical mobility has become a reality as more and more electric vehicles (EVs) are seen on all roads worldwide [3,4]. However, this change must be coordinated with electricity production, given that the growing demand for power to charge EV batteries must be met by renewable and clean energy systems in order to effectively reduce the CO 2 footprint in the atmosphere [5,6]. Otherwise, if electrical systems continue using fossil fuels, atmospheric pollution by greenhouse gas emissions will only move its focus from transportation systems to energy production without any real mitigation [7].…”

Section: Introductionmentioning

confidence: 99%

Efficient Day-Ahead Scheduling of PV-STATCOMs in Medium-Voltage Distribution Networks Using a Second-Order Cone Relaxation

2023

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This paper utilizes convex optimization to implement a day-ahead scheduling strategy for operating a photovoltaic distribution static compensator (PV-STATCOM) in medium-voltage distribution networks. The nonlinear non-convex programming model of the day-ahead scheduling strategy is transformed into a convex optimization model using the second-order cone programming approach in the complex domain. The main goal of efficiently operating PV-STATCOMs in distribution networks is to dynamically compensate for the active and reactive power generated by renewable energy resources such as photovoltaic plants. This is achieved by controlling power electronic converters, usually voltage source converters, to manage reactive power with lagging or leading power factors. Numerical simulations were conducted to analyze the effects of different power factors on the IEEE 33- and 69-bus systems. The simulations considered operations with a unity power factor (active power injection only), a zero power factor (reactive power injection only), and a variable power factor (active and reactive power injections). The results demonstrated the benefits of dynamic, active and reactive power compensation in reducing grid power losses, voltage profile deviations, and energy purchasing costs at the substation terminals. These simulations were conducted using the CVX tool and the Gurobi solver in the MATLAB programming environment.

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