Abstract: In order to realize the safe and economic operation of active distribution networks, an optimal scheduling method considering the uncertainty boundaries of both source and load sides is proposed. Firstly, the uncertainty of renewable energy output and the system standby constraint boundary relationship are established on the power side, while consumer psychology models and the concept of normal cloud on the load side are used to uniformly describe the demand side response and response boundary uncertainty. Then, an active distribution network scheduling model incorporating wind power, photovoltaic power generation, battery energy storage, and flexible loads is constructed to achieve coordinated optimization of source-grid-load-storage. Finally, the case analysis verifies that the proposed optimization method can effectively reduce scheduling costs, improve the capacity of renewable energy consumption, alleviate the pressure on higher level scheduling, and enhance the safety and economy of distribution network operation.

Key words: renewable energy power generation, demand-side response, uncertain boundary, optimal scheduling, consumer psychological model