Intelligent decision-making of distribution network planning scheme with distributed wind power generations

This paper first analyzes the impact of the volatility of distributed power generation (DG) output on distribution network planning. This impact mainly includes three aspects: system equivalent load forecasting, distribution network planning decision, and stable operation of the system. To reduce the impact of this instability, this paper takes the wind power system as an example, and establishes the corresponding relationship model of the output state-year output scenario. Secondly, combined with the life cycle theory and multi-scene partitioning, a comprehensive decision-making objective function of the distribution network planning scheme for a single area considering investment operation costs, additional backup costs, energy-saving, and environmental protection benefits, and system reliability costs were established. Because of the many parameter calculations and selection judgments involved in the decision model, an intelligent decision framework based on Dempster-Shafer evidence theory and Multi-agent system (DS-MAS) is proposed after the decision target is established, that is, which can automatically select the fitting selection analysis parameters according to different conditions. Finally, the effectiveness of the model is verified by a practical example.

Automated summary

This paper analyzes the impact of distributed power generation output volatility on distribution network planning, proposes an output state model using wind power system as an example, establishes a comprehensive decision-making objective function, and verifies the effectiveness of the model through practical examples.