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The Design of the Household Solar Power Generation System and its Economic Evaluation
Tieyan Zhang,Peng Liu,Zhenhe Ju 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.7
Solar energy is an inexhaustible supply of clean energy, and it is one of the most common natural resources of solar energy. To provide a more economical, environmentally form of supplying power for the far away grid and some villa. This paper presents the design of household solar power system. According to the local weather conditions, environment and the demand of the household electricity load. This paper presents how to select the devices according the actual condition. It includes how to choose the model of the inverter, how to determine the battery capacity, how to determine the solar panel module and the construction requirements. Finally, this paper make an economic assessment for this power generation. This economic assessment is about the PR, NPV and the discounted payback period.
Tieyan Zhang,Silin Wang,Meijun Li 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.8
Distributed renewable energy generation is lack of intelligent information processing and decision-making section. The above problems can be solved effectively by the means of intelligent information processing technology based on the dynamic structure of multi-agent for distributed renewable energy. In order to solve the problems of less data and poor information, this paper puts forward fuzzy hyperbolic model and attempts to use dynamic intelligent information processing technology based on multi-agent to change the unreliable, inaccurate information into be full, reliable and accurate. And then the information we have obtained could be intelligent fitted, filtered and decided. The self-organizing self-learning and reasoning ability of multi-agent are considered when the information processing. The intelligent information processing section is comprised of three layers and two kinds of agents. The two kinds of agents are Bus Agents and Coordination Agents, and the three structural layers are the data layer, the filter layer and the policy making layer. Moreover the information have been processed could be utilized.
Research on Crash Recovery Strategy for Distribution Network Containing DG
Di Bai,Tieyan Zhang,Zheng Yang 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.3
In order to fully utilize DG and improve system reliability, the author puts forward the rash recovery strategy for distribution network with DG. It adopts the heuristic method by taking DG as the source point of research for distribution network power recovery. Based on simplifying the network through improving branch method with the consideration of purposes of network damage to minimum extent and switch action time, it conducts reconstruction after the crash. It optimizes the power supply recovery strategy according to the load transfer condition after the crash in order to minimize the damage to distribution network caused by blackout. It conducts example test at IEEE33 node and IEEE69 node to verify the validity of this scheme.