Probabilistic Allocation Of Parking lots In Distribution Network Considering Uncertainty.
Authors
Abstract:
In this paper, parking lots with bidirectional power flow capability, is used as an achievements of smart power systems. Based on operating conditions, electric vehicles can be considered as a load or generator. For optimal operation of power systems, allocation of these novel units is also necessary same as other distributed generation. In this paper, an optimization problem is proposed for allocation of electric vehicles parking lots. Loss reduction and reliability improvement are considered as two main components of this allocation problem cost function. Because of uncertain in electric vehicle grid connection, modeling of these probabilistic units is necessary to determine optimal size and location of parking lots. There-fore, in this paper electric vehicle’s generated power is modeled by Markove Chain. Markove Chain analysis is based on passengers’-trip data such as trip start and end time. Simulation results show that installation of electric vehicle parking lots depends on many factors such as availability of electric vehicles as well as the electricity price. Also, it is shown that by taking enough incentive for electric vehicles owners, optimal size and location of parking lots has a considerable benefit for distribution system companies.
similar resources
Optimal Allocation of Electric Vehicles' Parking Lots in Distribution System Considering Urban Traffic
Abstract: Parking lots for electric vehicles (EVs) can make good utilization of the EVschr('39') battery capacity due to the large number of EVs. However, the location and size of parking lots will affect the distribution network condition. In this paper, a mixed-integer linear programming (MILP) model is proposed for locating and determining the optimal capacity of EVschr('39') parking lots co...
full textOptimal allocation, sizing of PHEV parking lots in distribution system
The emerging of plug-in-hybrid electric vehicles (PHEV) results in the increase in the utilization of vehicles batteries for grid support. This paper presents a multi-objective algorithm to optimally determine the number of parking lots to be allocated in a distribution system. In addition, the algorithm optimally selects the locations and sizes of these parking lots. The proposed algorithms de...
full textResiliency improvement of distribution network considering the charge/discharge management of electric vehicles in parking lots through Bi-level optimization approach
Due to the growing use of Plug-in Electric vehicles in transportation networks, scheduling the charge/discharge of electric vehicles in parking lots can have great impacts on the distribution network's resiliency. This paper presents a Bi-level optimization model to improve the resiliency of the distribution network that takes into account the interaction between the distribution network island...
full textAnts in Parking Lots
Ants provide an attractive metaphor for robots that “cooperate” in performing complex tasks. What, however, are the algorithmic consequences of following this metaphor? This paper is a step toward understanding the algorithmic strengths and weaknesses of ant-based computation models. We study the ability of ant-robots that are essentially mobile finite-state machines to perform a simple path-pl...
full textMinimizing Conflict in Parking lots
s ociety’s demand for quality is influencing the environment in which people sho~, work, are entertained, and relax. Businesses are continually striving to upgrade their service and increase their return on investment. The transition between the transport system and most activities is a parking lot. It is therefore not surprising that the quality of parking lots is increasing in importance. The...
full textParking Lots Space Detection
A problem faced in major metropolitan areas, is the search for parking space. In this paper, we proposed a novel way for automatic parking lots detection. In our approach, we first extract features by generating detection patchs and building Gaussian ground model from input video frames. Then this model is used to train an eight-calss multi-SVM classifier. Finally, the classfication is optimize...
full textMy Resources
Journal title
volume 9 issue 3
pages 0- 0
publication date 2019-10
By following a journal you will be notified via email when a new issue of this journal is published.
No Keywords
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023