基于自适应时段聚合算法的能-水联结系统联合优化运行

Energy-water Nexus System Joint Optimization Model Based on Adaptive-time-clustering Algorithm

水网作为可控负荷参与电网调度,有利于提升电网运行灵活性,从而降低系统整体运行费用。为实现电网与水网联合经济运行,提出了适用于能-水联结系统调度运行问题的数学优化模型。针对联合系统运行问题存在的模型复杂、求解困难等问题,从系统建模层面,提出配水网简化建模方法以减少决策变量数量;从优化场景层面,提出基于电-水净负荷曲线波动特征的自适应时段聚合算法,通过迭代,逐次合并相邻且相似的时段,从而逐步缩小优化问题规模。算例分析表明电网与水网联合运行能够提升整体经济效益,降低新能源弃电率;所提时段聚合算法能够大幅削减优化问题规模、降低求解时间,且适用于多种应用场景和具有不同波动特征的优化场景,满足在实际工程与运行中的需求。

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.