Quantification of Electricity Power Balance Based on Optimisation of Time-series Combinations of Multiple Types of Resources

As renewable energy generation expands, the challenge of power equilibrium in the evolving power system intensifies. Integrating flexible loads into the regional grid's power balance management contributes to resolving issues related to renewable energy consumption and curtailment of wind and solar output. This study intricately models thermal power stations, diverse hydroelectric facilities, and flexible loads, establishing an optimization model that encompasses multiple resource types with the aim of minimizing the overall system operating cost. Through case study analysis, the effectiveness and financial viability of the proposed approach are demonstrated. Findings indicate that involving flexible loads in regional grid power balance significantly improves the region's capacity to absorb renewable energy and concurrently enhances economic efficiency.