UAV cooperative control has been applied in many complex UAV communication networks. It remains challenging to develop UAV cooperative coverage and UAV energy-efficient communication technology. In this paper, we inve...UAV cooperative control has been applied in many complex UAV communication networks. It remains challenging to develop UAV cooperative coverage and UAV energy-efficient communication technology. In this paper, we investigate current works about UAV coverage problem and propose a multi-UAV coverage model based on energy-efficient communication. The proposed model is decomposed into two steps: coverage maximization and power control, both are proved to be exact potential games(EPG) and have Nash equilibrium(NE) points. Then the multi-UAV energy-efficient coverage deployment algorithm based on spatial adaptive play(MUECD-SAP) is adopted to perform coverage maximization and power control, which guarantees optimal energy-efficient coverage deployment. Finally, simulation results show the effectiveness of our proposed approach, and confirm the reliability of proposed model.展开更多
As a key component of an integrated energy system(IES),energy storage can effectively alleviate the problem of the times between energy production and consumption.Exploiting the benefits of energy storage can improve ...As a key component of an integrated energy system(IES),energy storage can effectively alleviate the problem of the times between energy production and consumption.Exploiting the benefits of energy storage can improve the competitiveness of multi-energy systems.This paper proposes a method for day-ahead operation optimization of a building-level integrated energy system(BIES)considering additional potential benefits of energy storage.Based on the characteristics of peak-shaving and valley-filling of energy storage,and further consideration of the changes in the system’s load and real-time electricity price,a model of additional potential benefits of energy storage is developed.Aiming at the lowest total operating cost,a bi-level optimal operational model for day-ahead operation of BIES is developed.A case analysis of different dispatch strategies verifies that the addition of the proposed battery scheduling strategy improves economic operation.The results demonstrate that the model can exploit energy storage’s potential,further optimize the power output of BIES and reduce the economic cost.展开更多
基金supported by the National Natural Science Foundation of China under Grant No. 61771488in part by the Natural Science Foundation for Distinguished Young Scholars of Jiangsu Province under Grant No. BK20160034+1 种基金 in part by the Open Research Foundation of Science and Technology on Communication Networks Laboratorythe Guang Xi Universities Key Laboratory Fund of Embedded Technology and Intelligent System (Guilin University of Technology)
文摘UAV cooperative control has been applied in many complex UAV communication networks. It remains challenging to develop UAV cooperative coverage and UAV energy-efficient communication technology. In this paper, we investigate current works about UAV coverage problem and propose a multi-UAV coverage model based on energy-efficient communication. The proposed model is decomposed into two steps: coverage maximization and power control, both are proved to be exact potential games(EPG) and have Nash equilibrium(NE) points. Then the multi-UAV energy-efficient coverage deployment algorithm based on spatial adaptive play(MUECD-SAP) is adopted to perform coverage maximization and power control, which guarantees optimal energy-efficient coverage deployment. Finally, simulation results show the effectiveness of our proposed approach, and confirm the reliability of proposed model.
基金Supported by National Nature Science Foundation of China under Grant 51907024.
文摘As a key component of an integrated energy system(IES),energy storage can effectively alleviate the problem of the times between energy production and consumption.Exploiting the benefits of energy storage can improve the competitiveness of multi-energy systems.This paper proposes a method for day-ahead operation optimization of a building-level integrated energy system(BIES)considering additional potential benefits of energy storage.Based on the characteristics of peak-shaving and valley-filling of energy storage,and further consideration of the changes in the system’s load and real-time electricity price,a model of additional potential benefits of energy storage is developed.Aiming at the lowest total operating cost,a bi-level optimal operational model for day-ahead operation of BIES is developed.A case analysis of different dispatch strategies verifies that the addition of the proposed battery scheduling strategy improves economic operation.The results demonstrate that the model can exploit energy storage’s potential,further optimize the power output of BIES and reduce the economic cost.
