In this study, to develop a benefit-allocation model, in-depth analysis of a distributed photovoltaic-power-generation carport and energy-storage charging-pile project
AI Customer ServiceThe charging card is again inserted into the charging pile to settle the charge, the charging pile ends the charging state, the charging socket door is opened, the charging gun is
AI Customer ServicePDF | Aiming at the charging demand of electric vehicles, an improved genetic algorithm is proposed to optimize the energy storage charging piles... | Find, read and cite all
AI Customer ServiceThe MHIHHO algorithm optimizes the charging pile''s discharge power and discharge time, as well as the energy storage''s charging and discharging rates and times, to
AI Customer ServiceThe construction of public-access electric vehicle charging piles is an important way for governments to promote electric vehicle adoption. The endogenous relationships
AI Customer ServiceThe proposed method reduces the peak-to-valley ratio of typical loads by 52.8 % compared to the original algorithm, effectively allocates charging piles to store electric power
AI Customer ServiceThis paper proposes a charging pile historical maintenance data based on cloud storage, as well as charging pile brand, model, environmental temperature and humidity indexes. The
AI Customer Serviceof the energy-storage charging pile; (2) the control guidance circuit can meet the requirements of the charging pile; (3) during the switching process of charging pile connection state, the
AI Customer Servicenew design and construction methods of the energy storage charging pile management system for EV are explored. Moreover, K-Means clustering analysis method is used to analyze the
AI Customer ServiceFrom the perspectives of electrical performance and safety performance, indicators are selected and determined, and a hierarchical structure of indicators is constructed for the comprehensive
AI Customer ServiceThe implementation of an optimal power scheduling strategy is vital for the optimal design of the integrated electric vehicle (EV) charging station with photovoltaic (PV)
AI Customer ServiceThe charging pile (CP) industry, a crucial component of the new energy vehicle (NEV) industry''s supply chain, requires improvements in both quantity and quality. This study
AI Customer Serviceinterprets the complex performance of energy piles, expands knowledge on their evaluation criteria and design parameters, and provides design recommendations. It also attempts to
AI Customer ServiceThe energy storage charging pile achieved energy storage benefits through charging during off-peak periods and discharging during peak periods, with benefits ranging
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AI Customer ServiceThe energy storage rate q sto per unit pile length is calculated using the equation below: (3) q sto = m ̇ c w T i n pile-T o u t pile / L where m ̇ is the mass flowrate of the
AI Customer ServiceAt the current stage, scholars have conducted extensive research on charging strategies for electric vehicles, exploring the integration of charging piles and load scheduling,
AI Customer ServiceAs shown in Fig. 1, a photovoltaic-energy storage-integrated charging station (PV-ES-I CS) is a novel component of renewable energy charging infrastructure that combines
AI Customer ServiceThe simulation results of this paper show that: (1) Enough output power can be provided to meet the design and use requirements of the energy-storage charging pile; (2) the
AI Customer ServiceThe energy storage charging pile achieved energy storage benefits through charging during off-peak periods and discharging during peak periods, with benefits ranging from 699.94 to 2284.23 yuan (see Table 6), which verifies the effectiveness of the method described in this paper.
Based Eq. , to reduce the charging cost for users and charging piles, an effective charging and discharging load scheduling strategy is implemented by setting the charging and discharging power range for energy storage charging piles during different time periods based on peak and off-peak electricity prices in a certain region.
The simulation results of this paper show that: (1) Enough output power can be provided to meet the design and use requirements of the energy-storage charging pile; (2) the control guidance circuit can meet the requirements of the charging pile; (3) during the switching process of charging pile connection state, the voltage state changes smoothly.
Fig. 11 Before and after optimization of charging pile discharge load. The MHIHHO algorithm optimizes the charging pile's discharge power and discharge time, as well as the energy storage's charging and discharging rates and times, to maximize the charging pile's revenue and minimize the user's charging costs.
a. Based on the charging parameters provided above and guided by time-of-use electricity pricing, the optimization scheduling system for energy storage charging piles calculated the typical daily load curve changes for a certain neighborhood after applying the ordered charging and discharging optimization scheduling method proposed in this study.
The traditional charging pile management system usually only focuses on the basic charging function, which has problems such as single system function, poor user experience, and inconvenient management.
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