To meet the target of carbon neutrality by year 2050 and decrease dependence on fossil fuels, renewable energy sources (RESs), specifically wind power, Electric Vehicles (EVs) have to be massively deployed. Nevertheless, integration a large amount with an intermittent nature, into grid variability load demand side require efficient reliable management system (EMS) for operation, scheduling, mai...

With the continuous and rapid growth of electric vehicle (EV) ownership, a large number disorderly charging loads accessed to regional grid may lead problems such as widening peak-to-valley load difference deterioration power quality. This study proposes an optimal EV discharging regulation strategy based on dynamic dispatching price give full play vehicle-to-grid (V2G) potential reasonably reg...

Abstract The interest conflict among entities in the integrated energy system (IES) has a great challenge to operation decisions of IES. With regards this, an optimal dispatching model electric‐heat‐hydrogen IES based on Stackelberg game is proposed. Firstly, producer (EP) formulated which considered full utilization hydrogen and involved conversion electricity heat energy. Meanwhile, demand re...

the new competitive environment changes the paradigm of power system operation. in the transmission area, open access process provides fair accessibility for all market participants. congestion management is one of the most important side effects of this new process. this paper proposes a new approach for congestion management which is based on both active and reactive re-dispatch of the networ...

The electric power load forecasting is critical for stable electric power system supply. In this paper, a seasonal ARIMA model was used to effectively forecast power load data characterized using periodicity. A numerical example reveals that the seasonal ARIMA model effectively forecast periodic power load.

We analyze a general model of dynamic vehicle dispatching systems in which congestion is the primary measure of performance. In the model, a finite collection of tours are dynamically dispatched to deliver loads that arrive randomly over time. A load waits in queue until it is assigned to a tour. This representation, which is analogous to classical set-covering models, can be used to study a va...