The residential energy scheduling of solar energy is an important research area of smart grid. On the demand side, factors such as household loads, storage batteries, the outside public utility grid and renewable ener...The residential energy scheduling of solar energy is an important research area of smart grid. On the demand side, factors such as household loads, storage batteries, the outside public utility grid and renewable energy resources, are combined together as a nonlinear, time-varying, indefinite and complex system, which is difficult to manage or optimize. Many nations have already applied the residential real-time pricing to balance the burden on their grid. In order to enhance electricity efficiency of the residential micro grid, this paper presents an action dependent heuristic dynamic programming(ADHDP) method to solve the residential energy scheduling problem. The highlights of this paper are listed below. First,the weather-type classification is adopted to establish three types of programming models based on the features of the solar energy. In addition, the priorities of different energy resources are set to reduce the loss of electrical energy transmissions.Second, three ADHDP-based neural networks, which can update themselves during applications, are designed to manage the flows of electricity. Third, simulation results show that the proposed scheduling method has effectively reduced the total electricity cost and improved load balancing process. The comparison with the particle swarm optimization algorithm further proves that the present method has a promising effect on energy management to save cost.展开更多
An adaptive method for the solution of compressible flows is described. The idea results from the desire for an efficient grid system,and an accurate and robust solution method are used to resolve flow features of the...An adaptive method for the solution of compressible flows is described. The idea results from the desire for an efficient grid system,and an accurate and robust solution method are used to resolve flow features of the interest. The adaptation flow solution is proposed,including the detection of flow features based on the matrix error; the mesh adaptation using the mesh movement,the mesh refinement,the mesh coarsening,and their combination. The feature detection based on the matrix error can maintain the high resolution property for shock waves of the one-dimensional approximate Riemann solver and the higher order reconstruction scheme. The high grid efficiency is obtained with the anisotropically directional grid corresponding to feature directions,and the error of the flow-field is averaged. The procedure and its application to flow solutions of shock waves are described. Results validate that the method is reliable.展开更多
为了解决流固耦合问题中物体大幅度运动带来的困难,更精确地计算波形变化和物体的受力,用任意拉格朗日-欧拉方法导出了带自由表面的流固耦合运动计算模型。在计算过程中用动网格方法跟踪浮体的运动,并用自适应网格在自由表面附近进行加...为了解决流固耦合问题中物体大幅度运动带来的困难,更精确地计算波形变化和物体的受力,用任意拉格朗日-欧拉方法导出了带自由表面的流固耦合运动计算模型。在计算过程中用动网格方法跟踪浮体的运动,并用自适应网格在自由表面附近进行加密。计算了无粘流体、粘性流体中浮体的运动规律,并与理想弹簧-物体振动模型理论解进行了比较,同时计算了浮体在粘性流体中的侧倾振荡。结果表明,在无粘流体中浮体的垂直振荡与理论解符合得较好;在粘性流体中物体的运动为阻尼振动,与实际相符得较好。浮体在粘性流体中的侧倾振荡为阻尼运动,其侧倾角度随时间的增加而减小,在小角度时侧倾振荡与理论解接近。计算结果验证了计算程序的可靠性与精度,为ALE(arb itrary lagrang ian eu lerian)方法应用于流体-多浮体耦合运动分析奠定了基础。展开更多
基金supported in part by the National Natural Science Foundation of China(61533017,U1501251,61374105,61722312)
文摘The residential energy scheduling of solar energy is an important research area of smart grid. On the demand side, factors such as household loads, storage batteries, the outside public utility grid and renewable energy resources, are combined together as a nonlinear, time-varying, indefinite and complex system, which is difficult to manage or optimize. Many nations have already applied the residential real-time pricing to balance the burden on their grid. In order to enhance electricity efficiency of the residential micro grid, this paper presents an action dependent heuristic dynamic programming(ADHDP) method to solve the residential energy scheduling problem. The highlights of this paper are listed below. First,the weather-type classification is adopted to establish three types of programming models based on the features of the solar energy. In addition, the priorities of different energy resources are set to reduce the loss of electrical energy transmissions.Second, three ADHDP-based neural networks, which can update themselves during applications, are designed to manage the flows of electricity. Third, simulation results show that the proposed scheduling method has effectively reduced the total electricity cost and improved load balancing process. The comparison with the particle swarm optimization algorithm further proves that the present method has a promising effect on energy management to save cost.
文摘An adaptive method for the solution of compressible flows is described. The idea results from the desire for an efficient grid system,and an accurate and robust solution method are used to resolve flow features of the interest. The adaptation flow solution is proposed,including the detection of flow features based on the matrix error; the mesh adaptation using the mesh movement,the mesh refinement,the mesh coarsening,and their combination. The feature detection based on the matrix error can maintain the high resolution property for shock waves of the one-dimensional approximate Riemann solver and the higher order reconstruction scheme. The high grid efficiency is obtained with the anisotropically directional grid corresponding to feature directions,and the error of the flow-field is averaged. The procedure and its application to flow solutions of shock waves are described. Results validate that the method is reliable.
文摘为了解决流固耦合问题中物体大幅度运动带来的困难,更精确地计算波形变化和物体的受力,用任意拉格朗日-欧拉方法导出了带自由表面的流固耦合运动计算模型。在计算过程中用动网格方法跟踪浮体的运动,并用自适应网格在自由表面附近进行加密。计算了无粘流体、粘性流体中浮体的运动规律,并与理想弹簧-物体振动模型理论解进行了比较,同时计算了浮体在粘性流体中的侧倾振荡。结果表明,在无粘流体中浮体的垂直振荡与理论解符合得较好;在粘性流体中物体的运动为阻尼振动,与实际相符得较好。浮体在粘性流体中的侧倾振荡为阻尼运动,其侧倾角度随时间的增加而减小,在小角度时侧倾振荡与理论解接近。计算结果验证了计算程序的可靠性与精度,为ALE(arb itrary lagrang ian eu lerian)方法应用于流体-多浮体耦合运动分析奠定了基础。
