Wide Area Monitoring System (WAMS) is an inevitable component in todays power system since a small catastrophe like fluctuations caused by the renewable energy sources, fast changing loads, electric vehicles, etc. wil...
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ISBN:
(纸本)9781538649961
Wide Area Monitoring System (WAMS) is an inevitable component in todays power system since a small catastrophe like fluctuations caused by the renewable energy sources, fast changing loads, electric vehicles, etc. will lead to the collapse of the whole system. This paper addresses the optimal planning of WAMS by Nash Differential Evolution (NashDE) algorithm, in which the variables of the problem are clustered into number of clusters, and will evolve parallelly by Differential Evolution (DE) towards the global objective of the problem. For optimization problems which are based on the connectivity of variables involved as in most of the power system planning processes, the convergence speed will greatly improve if variables in a cluster are physically connected. Further, this will ensure global convergence of the problem. Hence, this paper proposes a NashDE algorithm in which the variables are clustered based on their connectivity. Markov Clustering algorithm (MCL) is used for clustering the variables based on their connectivity. This is the first paper of such kind which addresses WAMS planning problem by Evolutionary Game Theory. Simulations are carried out for IEEE 14 and 30 bus test system using Python programming and the results are presented graphically.
The Custom Bus has advantages on punctuality, direct arrival, and economic benefits. It has a good effect on attracting passengers from private cars commuting in city. Due to the unscientific docking stations, the Cus...
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The Custom Bus has advantages on punctuality, direct arrival, and economic benefits. It has a good effect on attracting passengers from private cars commuting in city. Due to the unscientific docking stations, the Custom Bus is always ineffective. There are little studies about the optimization of docking stations. Based on the reference to minimum cost maximum flow problem, using the chain of minimum cost increase flow and the dijkstra algorithm, choosing points by 0-1 planning model, studying the docking forms on multi-origin to multi-destination. Guaranteeing the attendance rate and limited docking stations, to achieve the goals that shortest single path and the highest service rate by arranging the docking stations reasonably. This algorithm has been demonstrated during the process of optimizing Custom Bus docking stations between Guilin's new and old urban districts.
Aiming at satisfying the users' navigation requirements in complex indoor environments, an indoor route planning method with environment awareness is proposed in this paper. Considering the accessibility, simplici...
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Aiming at satisfying the users' navigation requirements in complex indoor environments, an indoor route planning method with environment awareness is proposed in this paper. Considering the accessibility, simplicity and comfortable experience of user's navigation, the paper first describes the modeling method of indoor navigation network and defines the expressions of indoor environment semantics. And then a navigation cost function is presented, which includes environment semantics such as path complexity, crowded degree and blocking events into indoor navigation network model. Finally, this paper proposes an optimal indoor route planning method by introducing the navigation cost function and environment semantics into traditional dijkstra algorithm. The experimental results show that the proposed method can effectively enhance the user's comfort experience in indoor navigation.
Sharing-bikes are characterized by health, greenness and environmental protection, effectively solving the "last kilometer" problem. It is of great significance to reasonably plan the sharing-bike connecting...
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Sharing-bikes are characterized by health, greenness and environmental protection, effectively solving the "last kilometer" problem. It is of great significance to reasonably plan the sharing-bike connecting rail transit routes to meet the traveler's needs, build safe urban traffic travel environment, and guide bicycle travel. Based on the shared bicycle trip data, this paper proposes an optimal paved lane path planning model for a sharing-bike connected rail transit based on traffic network. Based on spatial clustering and improved dijkstra's algorithm, the steps and principles for solving the model are given. The results of the example of Beijing No. 2 Line as a planning example show that this model has the characteristics of convenience of route layout and deployment cost, and has certain feasibility, which enriches the path planning method of bicycle lanes.
In recent time,a plenty of "jaywalkers" cause threat to some law-abiding drivers in the city,and the government decides to take some measures to deal with the *** present,they want to carry out different sur...
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ISBN:
(纸本)9781510873919
In recent time,a plenty of "jaywalkers" cause threat to some law-abiding drivers in the city,and the government decides to take some measures to deal with the *** present,they want to carry out different surveillance plans for the entire district using a certain number of *** order to ensure that all the geographic parts are observed in the continuously 15 minutes,I apply a goal planning model,which is based on the graph *** to the model,the result is calculated that 13 drones are needed and the flight route for each drone is *** this condition,each drone could fly safely and accomplish the patrol *** solving all the problems,we do a sensitivity analysis with the change of the *** stable drone numbers and slightly changed paths showed the robustness of our *** more precise data and further experiment,the model can be used to provide more suitable scheme.
The current situation of design of braking system is that high failure rate during landing and take-off status, and switching to emergency braking system automatically once faults appearing in normal braking system, i...
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ISBN:
(纸本)9781510872745
The current situation of design of braking system is that high failure rate during landing and take-off status, and switching to emergency braking system automatically once faults appearing in normal braking system, it causes the braking system to fail to maximize its effectiveness. Based on this situation, a kind of reconstruction system of anti-skid braking system has been constructed by establishing the optimization model of shortest path based on the dijkstra algorithm. In this paper, through establishing optimization model of signal flow, and reconstructing and optimizing the system by shortest path algorithm, the safety level of the anti-skid braking system of aircraft can be improved. The simulation results show that for indicated random faults, the system can be quickly and accurately reconstructed under braking process, and the safety of braking system can be improved.
Parking is a big problem in metropolis. When people go to mall, department stores or hospitals, they often waste much time to find an unoccupied parking space. The study aims to provide people with real-time informati...
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ISBN:
(纸本)9781538609484
Parking is a big problem in metropolis. When people go to mall, department stores or hospitals, they often waste much time to find an unoccupied parking space. The study aims to provide people with real-time information about the parking spaces using an app which is transmitted through Arduino systems, WIFI communication modules, and the parking route planning mechanism. In this way, people can have a good command of parking information when they get into the parking lot.
When people pass through a narrow passage,once the perceived disaster will cause the crowd to generate pressure,to promote their competitive behavior,which lead to disorder and *** is a very serious threat to the evac...
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ISBN:
(纸本)9781509046584
When people pass through a narrow passage,once the perceived disaster will cause the crowd to generate pressure,to promote their competitive behavior,which lead to disorder and *** is a very serious threat to the evacuation rate and export efficiency of the *** to optimize the crowd's guidance after taking these effects is an important *** on the advanced micro-pedestrian model and simulation,this paper establishes a new network flow *** the large and complex geometric layout of the infrastructure,the computer-aided approach can make the decision more accurate and efficient,We combined network analysis with building information modeling(BIM) to facilitate the decision making for response *** the geometric and topological relationships of the building from the BIM model to construct graph theory and find *** the same time,evacuation behavior of the crowd is supported by psychological discovery and simulation ***,smoke and psychological factors can enhance the desire of the crows to escape-the desired flow *** the desire flow exceeds the capacity of the passage will be disorder and blocked,causing the crowd flow in a non-linear and random way sharp *** order to efficiently guide the crowd,based on the group to reduce the complexity of the operation and reflection of psychological discovery "divide and rule" method ***,when the crowd is moving while the fire is spreading over time,such guidance is problematic because some of the exports may be overcrowded or blocked by fire and *** optimization techniques are then used to find efficient evacuation routes.A large number of results show that our approach can continually update the guidance in the event of an important change in the form of emergency,and our approach can help evacuate people to achieve greater evacuation efficiency compared to recent egress methods.
The comparative study of four practical three-dimensional (3D) path planning algorithm based on geometry search is proceeded in this paper, the four algorithms include dijkstra algorithm, Floyd algorithm, A* algorithm...
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ISBN:
(纸本)9781538630228
The comparative study of four practical three-dimensional (3D) path planning algorithm based on geometry search is proceeded in this paper, the four algorithms include dijkstra algorithm, Floyd algorithm, A* algorithm and Ant colony algorithm. In four algorithms, the working environments of Unmanned Aerial Vehicle (UAV) are all modeled using grid map method and UAV three-dimensional paths are all obtained by amending two-dimensional paths with the terrain following algorithm. In addition, a perpendicular approach is used to choose the key path node during UAV path planning. In this paper, online real-time path planning abilities of the four algorithms are compared from the two aspects of the run time and the path length. Simulation results show that the four algorithms can all handle fixed threats and sudden threats, and their planning time are short;but synthetically considering the run time, complexity and path length of the four algorithms, dijkstra algorithm is in turn better than Floyd algorithm, A* algorithm and Ant colony algorithm.
In these days, the Internet is growing and the amount of user to use network increases rapidly. The mesh(ad-hoc) network has studied for many areas where people can't use the Internet. Also, mesh(ad-hoc) network i...
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ISBN:
(纸本)9781509051243
In these days, the Internet is growing and the amount of user to use network increases rapidly. The mesh(ad-hoc) network has studied for many areas where people can't use the Internet. Also, mesh(ad-hoc) network is used for special purposes, and it expands its domain recently. However, low transfer rate and small coverage are a critical issue in mesh(ad-hoc) network. In this paper, it suggests improving transfer rate using BATMAN, Open vSwitch, and dijkstra algorithm. This paper has three section. In the first section, it suggests network architecture for improving transfer rate. This structure consists of network, controller, and storage. In the second section, it explains the algorithm for finding the optimal path using modified dijkstra algorithm. Finally, it shows the testbed to realize this proposal. We describe some advantage of controlling traffic flow.
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