Abstract
Abstract
To promote new energy sources, energy storage in high wind power systems is crucial for green, efficient, and cost-effective electrical supply. We focus on timing this setup in electrical engineering. Our analysis minimizes unit electricity supply cost in a dynamic thermal power system using a heuristic genetic algorithm. Results under different carbon capture costs show unit electricity supply costs of 0.158 CNY to 0.231 CNY. For wind turbine units, a visualization method analyzes power generation profiles, finding an abandoned wind power of 80.452MW. Replacing a 3MW thermal power unit with a 300MW wind turbine reduces integration capacity by about 80MW. Considering abandoned wind power and load shedding, calculations reveal a wind power integration capacity of around 256MW. Using dynamic programming and supplying power at the lowest generation cost, we calculate unit electricity supply cost and related indicators. This analysis, supported by data, provides insights for optimizing energy storage in high wind power systems.