考虑设备变工况特性的园区综合能源系统两阶段规划优化方法研究

Research on two-stage planning optimization approach for community integrated energy systems considering off-design conditions

园区综合能源系统通过多能耦合互补和协同优化调度,可以显著提高能源利用率和促进可再生能源消纳,已成为用户侧满足多能供需的一种新的能源利用实现方式。以河北雄安新区某园区作为研究对象,提出了一种考虑设备变工况特性的园区综合能源系统两阶段优化方法:第1阶段基于带有精英保留策略的非支配排序遗传算法(NSGA-Ⅱ)对园区能源站设备类型及容量进行优化,是一个多目标规划优化问题,其目的是实现经济成本和环境成本的协调优化;第2阶段是一个运行优化问题,针对上一阶段规划得到的多组Pareto前沿解,考虑风、光出力的不确定性,以系统运行经济、环境总成本和用户舒适度为优化目标,利用Benders分解算法优化求解各规划方案对应系统运行时设备出力计划,针对不同规划方案计算其综合成本,结果作为确定系统最佳规划方案的重要参考。算例分析结果表明所设计规划方法可以在第2阶段考虑系统运行的不确定性,充分考虑设备变工况特性实现设备精细化运行模拟,可以有效降低系统运行成本和保障负荷供给可靠性,对指导园区综合能源系统规划更具实用性。

The community integrated energy system(CIES)can significantly improve energy utilization efficiency and facilitate the consumption of renewable energy through multi-energy complementary and collaborative optimization scheduling.It has become a new energy utilization approach to balance multi-energy supply and demand on user side.Taking a community in Xiong'an New District as the research object,a two-stage optimization approach for the CIES considering off-design conditions is proposed.At the first stage,non-dominated sorting genetic algorithm(NSGA-Ⅱ)with elite preservation strategy is taken to optimize the equipment type and capacity of the community energy station.It is a multiobjective planning optimization problem,aiming at coordinately scheduling the economic costs and environmental costs.At the second stage,operation optimization is made.Considering the uncertainty of wind and PV outputs and taking the system economy,environmental cost and users'comfort as optimization objects,the multiple Pareto fronts obtained at the first stage are solved by Benders decomposition optimization method and the optimal outputs of different generators in various plans are obtained.The comprehensive costs of different plans are the important indicator for determining the best planning scheme.Case studies show that the designed planning scheme takes the operation uncertainty into consideration at the second stage,and realizes the refined operation simulation by fully considering the characteristics of equipment under variable working conditions.The approach can effectively reduce the system operating cost and guarantee the reliability of power supply,which is practical for instructing the CIES planning.