A new power system power planning method based on demand response and energy storage capacity

The high proportion of renewable energy access puts new requirements on the adequacy of grid capacity, requiring the power system to have sufficient confidence capacity to accommodate the fluctuation and stochasticity of renewable energy generation. For the nonlinear relationship between power planning and power system confidence capacity, it is difficult for the traditional power planning methods to accurately estimate the confidence capacity of the power system, and it is also impossible to determine the confidence capacity adequacy constraint of the power system. Based on the consideration of thermal power generation, renewable energy, energy storage, and demand-side response, an 8760-based annual production and operation simulation model is constructed to ensure sufficient system resilience and to optimize the capacity of demand response resources and energy storage. Based on this, a new iterative method is proposed to solve the nonlinear problem of energy storage confidence capacity, and an example analysis is carried out with a regional grid. It is found that the flexibility constraint is the dominant influence in high percentage renewable energy systems, and the system cost can be significantly reduced by introducing a small amount of demand-side response resources, thus opening a new way for future planning problems of high percentage renewable energy systems.