为解决用最少经济成本使风电场输出功率可最好地满足负荷问题,该文提出以风力机、制-储-燃氢装置的总安装成本、负荷缺电率LPSP(loss of power supply probability)和风氢互补系统输出功率波动率FPP(fluctuation of power probability)...为解决用最少经济成本使风电场输出功率可最好地满足负荷问题,该文提出以风力机、制-储-燃氢装置的总安装成本、负荷缺电率LPSP(loss of power supply probability)和风氢互补系统输出功率波动率FPP(fluctuation of power probability)为指标的容量配置方案。利用某地区一天的风速及负荷,在Matlab中编写基于精英非支配排序遗传算法NSGA-Ⅱ(elitist non-dominated sorting genetic algorithm)的多目标函数优化程序,对风电机组、电解槽-储氢罐-燃氢燃气轮机系统进行最优容量配置,得出优化组合方案。优化后的互补系统可有效保证其经济性和供电可靠性。展开更多
Optimal configuration of a class of endoreversible heat engines with fixed duration,input energy and radiative heat transfer law (q∝Δ(T4)) is determined. The optimal cycle that maximizes the efficiency of the heat e...Optimal configuration of a class of endoreversible heat engines with fixed duration,input energy and radiative heat transfer law (q∝Δ(T4)) is determined. The optimal cycle that maximizes the efficiency of the heat engine is obtained by using opti-mal-control theory,and the differential equations are solved by the Taylor series expansion. It is shown that the optimal cycle has eight branches including two isothermal branches,four maximum-efficiency branches,and two adiabatic branches. The interval of each branch is obtained,as well as the solutions of the temperatures of the heat reservoirs and the working fluid. A numerical example is given. The obtained results are compared with those obtained with the Newton’s heat transfer law for the maximum efficiency objective,those with linear phe-nomenological heat transfer law for the maximum efficiency objective,and those with radiative heat transfer law for the maximum power output objective.展开更多
文摘为解决用最少经济成本使风电场输出功率可最好地满足负荷问题,该文提出以风力机、制-储-燃氢装置的总安装成本、负荷缺电率LPSP(loss of power supply probability)和风氢互补系统输出功率波动率FPP(fluctuation of power probability)为指标的容量配置方案。利用某地区一天的风速及负荷,在Matlab中编写基于精英非支配排序遗传算法NSGA-Ⅱ(elitist non-dominated sorting genetic algorithm)的多目标函数优化程序,对风电机组、电解槽-储氢罐-燃氢燃气轮机系统进行最优容量配置,得出优化组合方案。优化后的互补系统可有效保证其经济性和供电可靠性。
基金the Program for New Century Excellent Talents in University of China (Grant No 20041006)the Foundation for the Author of National Excellent Doctoral Dissertation of China (Grant No 200136)
文摘Optimal configuration of a class of endoreversible heat engines with fixed duration,input energy and radiative heat transfer law (q∝Δ(T4)) is determined. The optimal cycle that maximizes the efficiency of the heat engine is obtained by using opti-mal-control theory,and the differential equations are solved by the Taylor series expansion. It is shown that the optimal cycle has eight branches including two isothermal branches,four maximum-efficiency branches,and two adiabatic branches. The interval of each branch is obtained,as well as the solutions of the temperatures of the heat reservoirs and the working fluid. A numerical example is given. The obtained results are compared with those obtained with the Newton’s heat transfer law for the maximum efficiency objective,those with linear phe-nomenological heat transfer law for the maximum efficiency objective,and those with radiative heat transfer law for the maximum power output objective.
