Power Balance Margin Analysis and Intelligent Dispatch System under Uncertain Scenarios: Functional Architecture and Key Technologies

With the continuous adjustment of the energy structure and the reform of the power market, the power system is confronted with numerous uncertain factors, such as the intermittency and volatility of renewable energy generation, errors in load forecasting, and the uncertainties in power market transactions. These uncertainties pose significant challenges to power and energy balance analysis and dispatch operations. In this context, the construction of a power balance analysis and intelligent dispatch system under uncertain scenarios is of great importance for ensuring the safe, reliable, and economical operation of the power system. This paper proposes a functional architecture for Power Balance Assessment and Smart Grid Dispatch Systems that supports diverse operational scenarios across multiple temporal scales. The framework integrates advanced data analytics, system modeling, and optimization algorithms to address dynamic grid challenges. The deployed system has been implemented in provincial power grids, demonstrating its capability to ensure secure and cost-effective grid operations under stochastic fluctuations on both generation and load sides.