基于自适应时段聚合算法的能-水联结系统联合优化运行

Water system can participate in the power system operation as a controllable load, which will improve the flexibility of power system and reduce the total operation costs of the joint system. To realize the joint economic operation of power system and water system, a mathematical optimization model suitable for operation problems is proposed. Aiming at the complex models and the difficulties in solving the joint system operation problems, a simplified model of the water distribution system is proposed to reduce the number of decision variables. The adaptive-time-clustering algorithm based on the fluctuation characteristics of the power-water net load is proposed, which can merge two adjacent and similar time intervals iteratively and the optimization problem scale will reduce gradually. The case studies show that the joint operation of power system and water system can improve the overall economic benefits and reduce the renewable energy curtailment. The time clustering algorithm can reduce the scale of optimization problem and solving time, and it is suitable for various application scenarios and operation scenarios with different fluctuation characteristics, which will meet the demands of the application and operation in the real world.