双碳政策推动下,乡村农业综合能源系统(integrated energy system,IES)的多能耦合关系更加复杂。为实现农业园区可靠运行,提出面向生态农业IES的多能互补与低碳运行优化调度策略。首先,基于农业园区的能量流动关系,建立沼气生产环节、...双碳政策推动下,乡村农业综合能源系统(integrated energy system,IES)的多能耦合关系更加复杂。为实现农业园区可靠运行,提出面向生态农业IES的多能互补与低碳运行优化调度策略。首先,基于农业园区的能量流动关系,建立沼气生产环节、多能耦合供应环节以及柔性负荷需求响应环节的数学模型。其次,考虑光伏、负荷和沼气的不确定性,建立生态农业IES两阶段鲁棒优化模型。模型引入碳排放成本和启停成本,可降低农业生产碳排放,防止机组频繁启停。然后,采用列与约束生成算法(column-and-constraint generation,C&CG),结合强对偶定理与线性化理论实现模型求解。最后,基于江西省某生态牧场IES进行算例仿真,验证所提策略的有效性。仿真结果表明,所提策略可实现生态农业IES的协调运行,提高系统经济性、低碳性和能效性。展开更多
多综合能源微网(integrated energy microgrids,IEM)配置共享储能电站(shared energy storage plant,SES)能显著提升系统能源利用率以及储能利用效率。然而,系统在实际运行中面临着主体协同管理、新能源出力随机性、多能负荷功率不确定...多综合能源微网(integrated energy microgrids,IEM)配置共享储能电站(shared energy storage plant,SES)能显著提升系统能源利用率以及储能利用效率。然而,系统在实际运行中面临着主体协同管理、新能源出力随机性、多能负荷功率不确定性以及各个主体隐私保护等诸多挑战。针对上述问题,该文提出基于两阶段鲁棒的多综合能源微网-共享储能电站协同优化运行策略。首先,构建min-max-min两阶段鲁棒优化模型,第一阶段决策各IEM与SES电能交互量,第二阶段决策最恶劣情况下各IEM内调度计划。针对第二阶段含有“0-1”整数变量无法用卡鲁什·库恩·塔克(KarushKuhn-Tucker,KKT)条件转对偶求解的问题,据此提出重构与分解(reconstruction and decomposition,RD)—列和约束生成(column constraint generation,C&CG)算法的求解方法。其次基于纳什谈判理论,建立多IEM-SES系统运行效益最大化问题和电能交易支付最大化问题。最后,为保护各IEM隐私采用交替方向乘子法对两个问题进行分布式求解。通过仿真验证,所提策略兼顾了系统的鲁棒性和经济性,有效地保护了各主体的隐私性。展开更多
Optimal operation of a compressor station is important since it accounts for 25%to 50%of a company’s total operating budget.In short-term management of a compressor station,handling demand uncertainty is important ye...Optimal operation of a compressor station is important since it accounts for 25%to 50%of a company’s total operating budget.In short-term management of a compressor station,handling demand uncertainty is important yet challenging.Previous studies either require precise information about the distribution of uncertain parameters or greatly simplify the compressor model.We build a two-stage robust optimization framework of power cost minimization in a natural gas compressor station with nonidentical compressors.In the first stage,decision variables are the ON/OFF state of each compressor and discharge pressure.The worst-case cost of the second stage is incorporated in the first stage.Firststage decision variables feasibility is discussed and proper feasibility cuts are also proposed for the first stage.We employ a piece-wise approximation and propose accelerate methods.Our numerical results highlight two advantages of robust approach when managing uncertainty in practical settings:(1)the feasibility of first-stage decision can be increased by up to 45%,and(2)the worst-case cost can be reduced by up to 25%compared with stochastic programming models.Furthermore,our numerical experiments show that the designed accelerate algorithm has time improvements of 1518.9%on average(3785.9%at maximum).展开更多
文摘双碳政策推动下,乡村农业综合能源系统(integrated energy system,IES)的多能耦合关系更加复杂。为实现农业园区可靠运行,提出面向生态农业IES的多能互补与低碳运行优化调度策略。首先,基于农业园区的能量流动关系,建立沼气生产环节、多能耦合供应环节以及柔性负荷需求响应环节的数学模型。其次,考虑光伏、负荷和沼气的不确定性,建立生态农业IES两阶段鲁棒优化模型。模型引入碳排放成本和启停成本,可降低农业生产碳排放,防止机组频繁启停。然后,采用列与约束生成算法(column-and-constraint generation,C&CG),结合强对偶定理与线性化理论实现模型求解。最后,基于江西省某生态牧场IES进行算例仿真,验证所提策略的有效性。仿真结果表明,所提策略可实现生态农业IES的协调运行,提高系统经济性、低碳性和能效性。
文摘多综合能源微网(integrated energy microgrids,IEM)配置共享储能电站(shared energy storage plant,SES)能显著提升系统能源利用率以及储能利用效率。然而,系统在实际运行中面临着主体协同管理、新能源出力随机性、多能负荷功率不确定性以及各个主体隐私保护等诸多挑战。针对上述问题,该文提出基于两阶段鲁棒的多综合能源微网-共享储能电站协同优化运行策略。首先,构建min-max-min两阶段鲁棒优化模型,第一阶段决策各IEM与SES电能交互量,第二阶段决策最恶劣情况下各IEM内调度计划。针对第二阶段含有“0-1”整数变量无法用卡鲁什·库恩·塔克(KarushKuhn-Tucker,KKT)条件转对偶求解的问题,据此提出重构与分解(reconstruction and decomposition,RD)—列和约束生成(column constraint generation,C&CG)算法的求解方法。其次基于纳什谈判理论,建立多IEM-SES系统运行效益最大化问题和电能交易支付最大化问题。最后,为保护各IEM隐私采用交替方向乘子法对两个问题进行分布式求解。通过仿真验证,所提策略兼顾了系统的鲁棒性和经济性,有效地保护了各主体的隐私性。
基金the support from the National Science Foundation of China(Grant 71822105)。
文摘Optimal operation of a compressor station is important since it accounts for 25%to 50%of a company’s total operating budget.In short-term management of a compressor station,handling demand uncertainty is important yet challenging.Previous studies either require precise information about the distribution of uncertain parameters or greatly simplify the compressor model.We build a two-stage robust optimization framework of power cost minimization in a natural gas compressor station with nonidentical compressors.In the first stage,decision variables are the ON/OFF state of each compressor and discharge pressure.The worst-case cost of the second stage is incorporated in the first stage.Firststage decision variables feasibility is discussed and proper feasibility cuts are also proposed for the first stage.We employ a piece-wise approximation and propose accelerate methods.Our numerical results highlight two advantages of robust approach when managing uncertainty in practical settings:(1)the feasibility of first-stage decision can be increased by up to 45%,and(2)the worst-case cost can be reduced by up to 25%compared with stochastic programming models.Furthermore,our numerical experiments show that the designed accelerate algorithm has time improvements of 1518.9%on average(3785.9%at maximum).
