scholarly journals Flight formation of UAVs in presence of moving obstacles using fast-dynamic mixed integer linear programming

2016 ◽  
Vol 50 ◽  
pp. 149-160 ◽  
Author(s):  
Mohammadreza Radmanesh ◽  
Manish Kumar
Keyword(s):  
Linear Programming ◽  
Integer Linear Programming ◽  
Mixed Integer Linear Programming ◽  
Mixed Integer ◽  
Moving Obstacles ◽  
Flight Formation ◽  
Fast Dynamic

Flight Formation of Quad-Copters in Presence of Dynamic Obstacles Using Mixed Integer Linear Programming

2015 ◽  
Author(s):  
Mohammadreza Radmanesh ◽  
Alireza Nemati ◽  
Mohammad Sarim ◽  
Manish Kumar
Keyword(s):  
Linear Programming ◽  
Path Planning ◽  
Integer Linear Programming ◽  
Mixed Integer Linear Programming ◽  
Formation Flight ◽  
Base Stations ◽  
Mixed Integer ◽  
Multiple Uavs ◽  
Flight Formation ◽  
Time And Energy

This paper proposes the implementation of Mixed Integer Linear Programming (MILP) for efficient path planning of UAVs in various flight formations. The Unmanned Aerial Vehicles (UAVs) taking part in a cooperative flight are assumed to be equipped with Automatic Dependent Surveillance Broadcast (ADS-B) which enables sharing the flight information with neighboring aircrafts. The design and implementation of the flight formation algorithm have been carried out for a general case, such that multiple UAVs with arbitrarily geographically located base stations can take part in the formation flight and collision avoided path planning. The paper formulates the problem of path of planning in the framework of MILP and proposes a cost function that minimizes time and energy consumption. The performance of the proposed algorithm has been verified via a number of simulations carried out using different scenarios.

scholarly journals A New Peak-Shaving Model Based on Mixed Integer Linear Programming with Variable Peak-Shaving Order

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 887
Author(s):  
Xianliang Cheng ◽  
Suzhen Feng ◽  
Yanxuan Huang ◽  
Jinwen Wang
Keyword(s):  
Linear Programming ◽  
Power Systems ◽  
Integer Linear Programming ◽  
Mixed Integer Linear Programming ◽  
Mixed Integer ◽  
Time Interval ◽  
Renewable Energy Resources ◽  
Load Curve ◽  
Peak Shaving ◽  
Model Based

Peak-shaving is a very efficient and practical strategy for a day-ahead hydropower scheduling in power systems, usually aiming to appropriately schedule hourly (or in less time interval) power generations of individual plants so as to smooth the load curve while enforcing the energy production target of each plant. Nowadays, the power marketization and booming development of renewable energy resources are complicating the constraints and diversifying the objectives, bringing challenges for the peak-shaving method to be more flexible and efficient. Without a pre-set or fixed peak-shaving order of plants, this paper formulates a new peak-shaving model based on the mixed integer linear programming (MILP) to solve the scheduling problem in an optimization way. Compared with the traditional peak-shaving methods that need to determine the order of plants to peak-shave the load curve one by one, the present model has better flexibility as it can handle the plant-based operating zones and prioritize the constraints and objectives more easily. With application to six cascaded hydropower reservoirs on the Lancang River in China, the model is tested efficient and practical in engineering perspective.

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