Research on Full Data Planning Stimulation State of Smart Distribution Automation and Stimulation Evaluating System

• Main Authors: Qiang Chang, Lei Wang, Yanwei Chen
• Format: Article
• Language: English
• Published: EDP Sciences 2014-05-01
• Series: SHS Web of Conferences
• Subjects: smart distribution automation; ant colony algorithm; data planning; data stimulation; evaluating system
• Online Access: http://dx.doi.org/10.1051/shsconf/20140701009

Smart distribution automation is an important part of smart grids. In our country, power distribution network is open looped and radial. To optimize the power distribution network, this paper aims to conduct full data planning in smart distribution automation from the perspective of annual total cost to explore efficient and practical planning algorithm, and provide fundamental basis for development and completion of smart power distribution system. In this paper, firstly, we analyze the proposal background and features of smart distribution automation to prepare for limits and targets in the process of distribution network planning. Then, according to regional characteristics of smart distribution automation, we provide with appliance strategies of multi ant colony algorithm in planning of smart distribution automation and figure out the stimulation branch circuit data of full data planning in certain power supply region after 500 iterations. It turns out that the convergence of algorithm and the result of optimization are good. At last, after evaluating the result of distribution network planning, we make out an index evaluating system and come up with evaluating process of the planning results as well as algorithm principle of AHP, and finally provide fundamental basis for self-cure of smart distribution automation.