Multi-time Scale Coordinated Optimization Scheduling Considering Flexible Resources

Abstract

With the growth of new energy installations such as wind power and photovoltaic, the contradiction between supply and demand balance in the power system is becoming increasingly prominent, mainly reflected in the abandonment of new energy, deep peak shaving of units, and Primary Frequency Regulation of units. This article proposes a multi-time scale optimization scheduling strategy that considers multi-link flexible resources. It aims to promote the consumption of clean energy, enhance the flexibility of the power system, and promote the coordinated operation of different time scales. Firstly, the operational characteristics of the power system at different time scales were analyzed, and the current situation and problems of deep peak shaving and Primary Frequency Regulation were analyzed. Secondly, an optimization model was established with the goal of minimizing system operating costs and new energy waste electricity, which includes three stages: weekly optimization, daily optimization, and real-time optimization. Finally, an IEEE-30 node network structure was used for example verification, and the results showed that the proposed scheduling mode could effectively improve system flexibility.