Power systems are run by combining different energy producers while the demand serves as the system's energy user and covers all of the non-flexible and flexible loads, including electric vehicles (EVs). This stud...
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Power systems are run by combining different energy producers while the demand serves as the system's energy user and covers all of the non-flexible and flexible loads, including electric vehicles (EVs). This study investigated the trip pattern impact of EVs, utilizing the orca algorithm (OA), in optimizing power production, applied to the IEEE-62 bus system as a model. Considering one-way and two-way trips over several categories of typical roads, the mobility of 14,504 EVs, divided into four driving patterns (Mobility 1-4), was estimated. Approximately 2,933 EVs traveled for working/business/study purposes, 3,862 EVs traveled for service/shopping purposes, approximately 5,376 EVs traveled for leisure purposes, while 2,334 EVs traveled for other reasons. The system had a total demand of 18,234.9 MVA, including 3,352.8 MW for electric vehicles and 14,151.5 MW for non-flexible loads. The EVs traveled a total of 119,018 km in Mobility 1, 141,799 km in Mobility 2, 184,614 km in Mobility 3, and 82,637 km in Mobility 4. The power produced was also used to charge the EVs during trips.
This paper focussed on the development of a dynamic and efficient obstacle avoidance path planning algorithm based on orca-DWA algorithm, which combines the Optimal Reciprocal Collision Avoidance (orca) algorithm and ...
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This paper focussed on the development of a dynamic and efficient obstacle avoidance path planning algorithm based on orca-DWA algorithm, which combines the Optimal Reciprocal Collision Avoidance (orca) algorithm and an improved Dynamic Window Approach (DWA), for improving the quality and efficiency of globally planned paths and ensuring obstacle avoidance between robots for local path planning. This combined orca-DWA approach effectively combines the speed of DWA planning with the preferred speed of the orca algorithm, it not only solves the problem of the orca algorithm's difficulty in determining the preferred speed, but also does not deviate from its optimal trajectory while avoiding obstacles. Additionally, an improved dynamic windowing method is proposed to enhance the adaptability to the environment. As a result, the mobile robot can not only use the DWA algorithm to achieve global path optimisation during navigation, but also achieve obstacle avoidance with the shortest time and path while following the robot's own constraints and considering the robot's radius. Simulation results prove that the method can greatly reduce the length and time of path planning and show that this new algorithm can make the robot's speed smoother.
To address the issue that traditional UAV obstacle-avoidance algorithms had low efficiency in unknown and complex environments, an improved DWA (Dynamic Window Approach) fusion algorithm was proposed. Regarding the la...
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Multi-UAV system is an important part of unmanned system,which plays an indispensable role in military field and civil ***,task assignment model including complex constraints is established and Discrete Pigeon-Inspire...
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Multi-UAV system is an important part of unmanned system,which plays an indispensable role in military field and civil ***,task assignment model including complex constraints is established and Discrete Pigeon-Inspired Optimization-Simulated Annealing algorithm(DPIO-SA)is proposed to solve it,which updates the speed and position of pigeons through exchange and cross ***,Genetic algorithm(GA)is adopted to optimize the UAVs'locations in *** experimental results show that the average fitness value of DPIO-SA is 13.5％higher than DPIO;After running the algorithm for 30 times,the number of times that DPIO-SA algorithm reaches the global optimum is 15,while DPIO is *** mean DPIO-SA is easier to jump out of local *** describe the fixed-wing UAV,the Unicycle model is *** control is used to control the fixed-wing's heading and *** at the collision avoidance,Optimal Reciprocal Collision Avoidance(orca)algorithm is proposed,which allows fixed-wings to avoid collisions without having to communicate with each *** the algorithm,the velocity region is divided by the definition of velocity obstacle,and the optimal velocity is obtained by linear planning *** enables the fixed-wings'formation to find the right velocity in real time and effectively to avoid *** show that 24 fixed-wings completed the formation assembly after running 16.4 ***,according to the Contract Network algorithm(CNA),the task scheduling problem is solved by the interaction among fixed-wings.
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