The grid-connected stability of new energy power generation systems has become a hot spot in microgrid technology research. Virtual Synchronous Generator (VSG) control technology simulates the operating characteristic...
详细信息
The grid-connected stability of new energy power generation systems has become a hot spot in microgrid technology research. Virtual Synchronous Generator (VSG) control technology simulates the operating characteristics of synchronous generators (SGs) through grid-connected inverters, making them have inertia and damping characteristics. The design of VSG controller parameters is difficult, and the grid connection effect obtained using traditional calculation methods is not ideal. Comparing the simulation results of the power grid under frequency and voltage disturbances, it is verified that the improved differential evolution algorithm is more suitable for VSG grid connection stability than the traditional algorithm.
Based on the fact that the ball mill load in power plant is hard to detect effectively, an online local learning improved weighted least square support vector machine (WLSSVM) soft-sensing method is proposed form impr...
详细信息
ISBN:
(纸本)9789881563811
Based on the fact that the ball mill load in power plant is hard to detect effectively, an online local learning improved weighted least square support vector machine (WLSSVM) soft-sensing method is proposed form improving the prediction accuracy and adaptive ability of the soft-sensing model. Firstly, a similarity measurement criterion of data samples based on the samples distance and trend information is designed, and the modeling neighborhood dataset for local model is obtained by using two-step search strategy. Secondly, for the purpose of improving the prediction performance of the local model, an improved WLSSVM local model which can reflect the similarity and the error information of the modeling data is proposed, and the parameters of the local model is optimized by using improved differential evolution algorithm with mutation operation. Thirdly, in order to control the data size of the historical database, the active update strategy is adopted to realize the selective preservation of the new data. Finally, the simulation experiments are carried out based on the actual operation data of the coal pulverizing system. Simulation results show that compared with the standard LSSVM model, the proposed soft-sensing model has better prediction accurate and can predict the power plant ball mill load effectively.
In this paper, power-domain NOMA is applied to D2 D communications, and then an optimization problem to maximize the system total energy efficiency（EE） is formulated while guarantying the quality of service（QoS） o...
详细信息
In this paper, power-domain NOMA is applied to D2 D communications, and then an optimization problem to maximize the system total energy efficiency（EE） is formulated while guarantying the quality of service（QoS） of both cellular users and D2 D users. This optimization problem is a mixed integer fractional programming（MIFP） with a large-scale solution space. Then in order to solve the problem with low complexity, a novel energy aware resource allocation scheme based on improved differential evolution algorithm（EARASIDE） is developed. It is a joint physical resource block（RB） allocation and power control scheme. Finally, extensive simulation results show that the proposed EARAS-IDE algorithm with a low complexity is able to converge quickly and approximate the optimal solution after introducing the dynamic mutation factor F. Additionally, compared with OMA scheme, the NOMA scheme achieves higher EE performance gains at the cost of slightly increased receiver complexity.
暂无评论