Shiqian Wang’s research while affiliated with State Grid Electric Power Research Institute and other places

... Research [17][18][19] optimized the charging and discharging behavior of EVs in the time dimension, improving the economy of the distribution network, but ignored the spatial characteristics of EVs in the road network. Reference [20] simplifies the planning problem by classifying EVs. Research [21] introduces a reward-and-punishment-based tiered carbon trading mechanism, considering the interaction between electricity and heat energy, to achieve EV scheduling while meeting low-carbon requirements. ...

Reference:

Coordinated Interaction Strategy of User-Side EV Charging Piles for Distribution Network Power Stability

... Compared with ground stations and air-based platforms, satellite observations have the advantages of a wide coverage, stable and continuous observation time, strong repeatability and high data objectivity, and can provide continuous spatial distribution and dynamic change information of greenhouse gases on a global scale [4][5][6]. Recently, many carbon-sensing satellites have been successfully deployed around the world to monitor the atmospheric CO 2 column concentration, including Europe's Envisat, Japan's GOSAT series, the United States' OCO series, and China's TanSat [7]. By observing the average dry air mole fraction of the CO 2 column (XCO 2 ), they provide rich data support for the study of the CO 2 concentration. ...

Reference:

Research on High Spatiotemporal Resolution of XCO2 in Sichuan Province Based on Stacking Ensemble Learning

... Taking a 256 × 256 image as an example, Figure 9 illustrates the extracted feature information at different scales: Features at the 1/2 scale exhibit a high degree of similarity with those at the 1/4 scale. However, shallower-level features increase the model's sensitivity, which fails to enhance the model's generalization ability [40]. The 1/4 scale features capture the high-frequency details of the image, reflecting its fundamental structural information. ...

Reference:

OSNet: An Edge Enhancement Network for a Joint Application of SAR and Optical Images

... These factors pose significant challenges for the sizing and energy scheduling of PV-ESS in industrial enterprises. Increasing the capacity of PV-ESS reduces the risk of power supply instability caused by fluctuations in renewable energy and load uncertainty [7], but it results in higher upfront investment and construction costs. Conversely, a smaller PV-ESS capacity lowers the initial investment but offers limited support for the plant's energy supply and scheduling. ...

Reference:

A Two-Layer Cooperative Optimization Approach for Coordinated Photovoltaic-Energy Storage System Sizing and Factory Energy Dispatch Under Industrial Load Profiles

... The results show that the proposed strategy effectively influences EV charging via dynamic energy price signals and achieves optimal energy exchange, reducing overall system costs [28]. Jia et al. (2023) examined the impact of uncertain EV charging and discharging behavior on the stability of distribution networks, highlighting the sensitivity of EV loads to electricity pricing. For solving the problem, they proposed a virtual power plant optimization scheduling model that leverages incentive-based demand response strategies and dynamic load compensation under time-of-use pricing. ...

Reference:

Charging Scheduling of Electric Vehicles Considering Uncertain Arrival Times and Time-of-Use Price

... Reference [7] proposes a wind-hydrogen energy system model, consisting of a wind turbine power generation system and a hydrogen storage system, and optimizes the configured capacity of the hydrogen storage system with the objective function of minimizing the system investment cost, operation, and maintenance cost. Reference [8] proposes an integrated energy system integrating hydrogen and electricity, considering both the operating costs of the system and the environmental costs associated with the buyback for constructing an optimal scheduling model for the coupled electricity-hydrogen-carbon system. Reference [9], an integrated energy system the probability distribution or fuzzy affiliation function of uncertain parameters is not known [27,28]. ...

Reference:

Economic Dispatch of Integrated Energy Systems Considering Wind–Photovoltaic Uncertainty and Efficient Utilization of Electrolyzer Thermal Energy

... Introduction and problem definition. Reactive power compensation remains one of the main means of increasing the energy efficiency of power supply systems [1][2][3][4][5][6]. In Ukraine, under the current conditions of martial law, these issues should become one of the main factors in increasing the possibilities of emergency-free electricity supply, in particular, the compensation of reactive power will allow to relieve the load on electric networks and increase the efficiency of the systems as a whole [4,5]. ...

Reference:

Analytical method of determining conditions for full compensation of reactive power in the power supply system

... This temperature-induced variation in the SOC and thermal gradient can thus lead to uneven distributions of the current density, localized differences in the SOC, and variations in the aging rate across a battery. The effects of the thermal gradient on battery degradation and lifespan reduction were analysed in detail in [2,3]. The thermal gradient not only hastens the overall aging of a battery but also reduces the amount of usable energy. ...

Reference:

Assessment of a Top and Bottom Cooling Strategy for Prismatic Lithium-Ion Cells Intended for Automotive Use

... The DE algorithm follows three steps of mutation, crossover, and selection to enhance the global search capability. Its mathematical model is outlined in Table 1 (Zu et al., 2022). The tests demonstrate the algorithm's effectiveness in addressing complex optimization challenges, including discontinuous and multi-peak problems. ...

Reference:

A novel inversion method of slope rock mechanical parameters using differential evolution gray wolf algorithm to optimize support vector regression

... It is noted that most of the modeling of EVs relies on probability distribution functions; however, real-time travel data for accurately estimating the EV demand in the distribution network are generally lacking in [11-14, 16, 18-20]. Also, the algorithms used in these studies are either based on traditional methods [12,14,17], or do not involve recent metaheuristic techniques [11,19]. Furthermore, the distribution networks analyzed are not large-scale, which limits the ability to capture a comprehensive view of real-time EV charging demand in large residential networks and its potential impacts. ...

Reference:

Mitigation of Residential EV Charging Effects on Power Distribution Networks with Optimal Allocation of DGs Using Coati Optimization