为实现电-气综合能源系统的能源高效利用以及协调其多个目标下的矛盾冲突,同时考虑到电力系统与天然气系统常隶属于不同的经营主体,存在多主体的计算需求,提出一种基于交替方向乘子法(alternating direction method of multipliers,ADMM...为实现电-气综合能源系统的能源高效利用以及协调其多个目标下的矛盾冲突,同时考虑到电力系统与天然气系统常隶属于不同的经营主体,存在多主体的计算需求,提出一种基于交替方向乘子法(alternating direction method of multipliers,ADMM)的多目标最优电气能量流的分布式计算方法,并搭建电气综合能源系统仿真模型对算法进行验证,结果表明:所提算法利用分解协同交互机制可有效实现电气综合能源系统的分布式多目标优化,减少计算过程的信息传输量、防范信息泄露;同时,该算法可协调兼顾互联系统运营商对于经济性、环保性、削峰填谷等多个目标的偏好设置,而且选取合适的罚参数值能够显著提高算法收敛速度、减小计算误差,获得更好的算法综合性能。展开更多
In order to optimize the crashworthy characteristic of energy-absorbing structures, the surrogate models of specific energy absorption （SEA） and ratio of SEA to initial peak force （REAF） with respect to the design...In order to optimize the crashworthy characteristic of energy-absorbing structures, the surrogate models of specific energy absorption （SEA） and ratio of SEA to initial peak force （REAF） with respect to the design parameters were respectively constructed based on surrogate model optimization methods （polynomial response surface method （PRSM） and Kriging method （KM））. Firstly, the sample data were prepared through the design of experiment （DOE）. Then, the test data models were set up based on the theory of surrogate model, and the data samples were trained to obtain the response relationship between the SEA ＆amp; REAF and design parameters. At last, the structure optimal parameters were obtained by visual analysis and genetic algorithm （GA）. The results indicate that the KM, where the local interpolation method is used in Gauss correlation function, has the highest fitting accuracy and the structure optimal parameters are obtained as： the SEA of 29.8558 kJ/kg （corresponding toa=70 mm andt= 3.5 mm） and REAF of 0.2896 （corresponding toa=70 mm andt=1.9615 mm）. The basis function of the quartic PRSM with higher order than that of the quadratic PRSM, and the mutual influence of the design variables are considered, so the fitting accuracy of the quartic PRSM is higher than that of the quadratic PRSM.展开更多
文摘为实现电-气综合能源系统的能源高效利用以及协调其多个目标下的矛盾冲突,同时考虑到电力系统与天然气系统常隶属于不同的经营主体,存在多主体的计算需求,提出一种基于交替方向乘子法(alternating direction method of multipliers,ADMM)的多目标最优电气能量流的分布式计算方法,并搭建电气综合能源系统仿真模型对算法进行验证,结果表明:所提算法利用分解协同交互机制可有效实现电气综合能源系统的分布式多目标优化,减少计算过程的信息传输量、防范信息泄露;同时,该算法可协调兼顾互联系统运营商对于经济性、环保性、削峰填谷等多个目标的偏好设置,而且选取合适的罚参数值能够显著提高算法收敛速度、减小计算误差,获得更好的算法综合性能。
基金Project(U1334208)supported by the National Natural Science Foundation of ChinaProject(2013GK2001)supported by the Fund of Hunan Provincial Science and Technology Department,China
文摘In order to optimize the crashworthy characteristic of energy-absorbing structures, the surrogate models of specific energy absorption （SEA） and ratio of SEA to initial peak force （REAF） with respect to the design parameters were respectively constructed based on surrogate model optimization methods （polynomial response surface method （PRSM） and Kriging method （KM））. Firstly, the sample data were prepared through the design of experiment （DOE）. Then, the test data models were set up based on the theory of surrogate model, and the data samples were trained to obtain the response relationship between the SEA ＆amp; REAF and design parameters. At last, the structure optimal parameters were obtained by visual analysis and genetic algorithm （GA）. The results indicate that the KM, where the local interpolation method is used in Gauss correlation function, has the highest fitting accuracy and the structure optimal parameters are obtained as： the SEA of 29.8558 kJ/kg （corresponding toa=70 mm andt= 3.5 mm） and REAF of 0.2896 （corresponding toa=70 mm andt=1.9615 mm）. The basis function of the quartic PRSM with higher order than that of the quadratic PRSM, and the mutual influence of the design variables are considered, so the fitting accuracy of the quartic PRSM is higher than that of the quadratic PRSM.
