This research develops a lightweight and highly reproducible optimization model for residential solar-storage carport system operating in a carbon-pricing environment. By integrating the real-time carbon price into the system's scheduling decisions, a genetic algorithm is used to simultaneously optimize photovoltaic (PV) and battery storage capacity, as well as the day-ahead dispatch strategy. This optimization framework maximizes electricity export revenues while minimizing total operational costs, including purchased electricity costs, carbon emissions and peak-valley gap penalties. With the current prevalent CO₂ price of 80 RMB/ton, a system configuration with 6.3 kW PV capacity and 5 kW·h/3 kW storage battery achieves an investment payback period of 2.5 years and an internal rate of return of around 40%. Sensitivity analysis reveals that the introduction of a carbon price promotes an increase in electricity sales and improves the financial viability of the system. The results demonstrate that carbon pricing not only increases the economic viability of the system but also promotes more efficient energy use through optimized trading strategies. MATLAB-based template for homes to take part in carbon markets while cutting electricity costs, presenting a route to a more sustainable and economical energy future.

The coordination of wind, PV and PV systems in electricity networks has become one of the most important drivers for the green growth of electricity systems as the energy transformation and carbon neutral initiatives are being taken forward. In this article, we discuss the Intelligent Wind Solar Storage Network with a detailed description of its basic structure, operating principles, and present development situation. Based on the analysis of documents and examples, we have found that Model Predictive Control (MPC) and DRL (DRL) have proved to be economically efficient and flexible in distributing and storing power. Based on the examples from Qinghai, German and Shanghai, we find that the integration of wind and solar energy can increase the efficiency of RES and keep the electricity network stable. The research shows that the integration of artificial intelligence and the new generation of communication technology will become a key direction for the intelligent and coordinated development of wind-solar-storage systems in the future.

In recent years, the ongoing advancement of society and technology has placed increasingly higher demands on battery performance. Currently, in commercial lithium-ion batteries (LIBs), graphite serves as the most widely used anode material. However, its specific capacity remains relatively low, making it difficult to satisfy evolving development requirements. However, carbon-based materials have a better theoretical specific capacity. When used as anode materials, they can significantly improve the battery performance, showing great development prospects. This article describes a detailed review of the research progress of carbon-based anode materials of LIBs. Firstly, we introduced the principle of LIBs, the overall classification of carbon-based materials and their characteristics. Furthermore, various modification methods of carbon-based anode materials for LIBs are discussed, including activation, doping, and composite with metal materials. Finally, the future research directions of carbon-based anode materials for LIBs are prospected.