Affiliation:
1. School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
Abstract
With the promotion of the dual carbon target, the scale of the wind power grid connection will significantly increase. However, wind power has characteristics such as randomness and volatility, and its grid connection challenges the pressure of system peak shaving, making it increasingly difficult to regulate the power system. To solve the problem of wind power abandonment, the positive and negative peak shaving characteristics of wind power were first analyzed. Based on this, it is proposed that demand response resources and energy storage with adjustable characteristics are used as the new means of wind power consumption. Together with the thermal power units, they participate in the optimization and scheduling of the power grid, forming a coordinated and optimized operation mode of source load storage. With the goal of minimizing system operating costs, a two-stage economic scheduling model was formed for the day-ahead and intra-day periods. Finally, optimization software was used to solve the problem, and the simulation results showed the effectiveness of the proposed economic scheduling model, which can improve the system’s new energy consumption and reduce the system’s operating costs.
Reference48 articles.
1. System Strength Shortfall Challenges for Renewable Energy-Based Power Systems: A Review;Qays;Renew. Sustain. Energy Rev.,2023
2. Multi-Objective Generation Scheduling towards Grid-Connected Hydro–Solar–Wind Power System Based the Coordination of Economy, Management, Society, Environment: A Case Study from China;Liu;Int. J. Electr. Power Energy Syst.,2022
3. Risk-Constrained Stochastic Scheduling for Energy Hub: Integrating Renewables, Demand Response, and Electric Vehicles;Yang;Energy,2024
4. A Fast and Accurate Calculation Method of Line Breaking Power Flow Based on Taylor Expansion;Li;Front. Energy Res.,2022
5. Whether Rural Rooftop Photovoltaics Can Effectively Fight the Power Consumption Conflicts at the Regional Scale—A Case Study of Jiangsu Province;Yang;Energy Build.,2024