基于二层规划的能源互联微电网能量优化调度方法

Energy Optimal Dispatching Method of Micro-energy Internet Based on Bi-level Programming

针对能源互联微电网能量优化调度问题,采用二层规划理论进行建模。以能量枢纽转化矩阵为上层决策变量,以系统综合运行成本最小为目标函数,构建上层模型;以电能子网、热能子网、气能子网以及交通子网的优化运行计划为下层决策者,以能源子网运行经济性指标为目标,计及各能源子网运行的必要约束,构建下层模型。分析得到模型的广义Nash均衡和Stackelberg-Nash均衡,采用反向学习机制改进帝国竞争算法,并采用改进的帝国竞争算法对所建立的模型设计求解流程。最后,算例分析表明,所建立的模型适用于多能互补协调的能源互联微电网能量优化调度问题,能充分发挥系统运行的经济性。

Aiming at the energy optimal dispatching problem of micro-energy internet,the bi-level programming theory is used to build the model.Taking the transformation matrix of energy hub as the upper decision variable while the minimum comprehensive operation cost as the objective function,the upper model is constructed.Taking the optimal operation plan of electric energy sub-grid,heat energy sub-grid,gas energy sub-grid and traffic sub-grid as the lower decision-makers,while taking the economic indices of energy sub-networks as goals,the lower model is constructed with necessary constraints of energy sub-network operation.The generalized Nash equilibrium and Stackelberg-Nash equilibrium of the model are obtained.The imperial competition algorithm is improved by using the reverse learning mechanism,and the solving process is designed by using the improved imperial competition algorithm.Finally,an example shows that the model is applicable to the energy optimal dispatching of micro-energy internet considering multi-energy complementary and coordination,and can fully utilize the economy of system operation.