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EN
Aiming to address power consumption issues of various equipment in metro stations and the inefficiency of peak shaving and valley filling in the power supply system, this study presents an economic optimization scheduling method for the multi-modal “source-network-load-storage” system in metro stations. The proposed method, called the Improved Gray Wolf Optimization Algorithm (IGWO), utilizes objective evaluation criteria to achieve economic optimization. First, construct a mathematical model of the “source network-load-storage” joint system with the metro station at its core. This model should consider the electricity consumption within the station. Secondly, a two-layer optimal scheduling model is established, with the upper model aiming to optimize peak elimination and valley filling, and the lower model aiming to minimize electricity consumption costs within a scheduling cycle. Finally, this paper introduces the IGWO optimization approach, which utilizes meta-models and the Improved Gray Wolf Optimization Algorithm to address the nonlinearity and computational complexity of the two-layer model. The analysis shows that the proposed model and algorithm can improve the solution speed and minimize the cost of electricity used by about 5.5% to 8.7% on the one hand, and on the other hand, it improves the solution accuracy, and at the same time effectively realizes the peak shaving and valley filling, which provides a proof of the effectiveness and feasibility of the new method.
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EN
This paper proposes a game-based decentralized charging control strategy for large populations of electric vehicles (EVs). Assuming all EV owners make their own charging strategy according to the electricity price and the total electricity demand of the day before, the owners can be guided to actively participate in the game by a set of electricity pricing mechanism. The existence of Nash equilibrium and the global optimum (or ‘Valley-filling’) of the charging strategy are verified. Simulation results demonstrate the convergence to the Nash equilibrium within a few iterations.
PL
W artykule zaproponowano strategię ładowania dla dużej populacji pojazdów elektrycznych bazująca na teorii gier. Strategia wykorzystuje informacje o cenie energii i prognozowanym zapotrzebowaniu. Zweryfikowano metody optymalizacji.
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