A Stochastic Analysis Method with Considering Installation Combination Factor to Evaluate the Maximum Allowable Penetration Level of Photovoltaic Generation on Distribution System Feeders

• Main Authors: LIN, CHENG-WEI, 林承緯
• Other Authors: LIU, YU-JEN
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/vmrk9j

碩士 === 國立中正大學 === 電機工程研究所 === 105 === Owing to the increased environmental awareness grows in recent years. The government promotes the use of renewable energy to generate electricity. Using renewable energy to generate electricity can protect the earth and reduce carbon dioxide emissions. Among the numerous renewable energy sources, solar power is one of the rapid growth clean energy in the world. However, with the increasing number of solar power sources connected to the grid, it is increasingly important to evaluate the potential risks of solar power generation. So there is an urgent need for relevant research to do some work on hosting capacity of the feeder. The photovoltaic system will result to different impact when connecting at different sites or different capacity. Therefore, the power company must have to do something positive to discuss the issue. In this thesis, a stochastic analysis method with considering installation combination factor is use to evaluate the maximum allowable penetration level of photovoltaic generation on distribution system feeders. Consider the unpredictability of solar system connected sites and capacity for the reason that stochastic analysis with the combination factor is to use calculate total number of combinations of photovoltaic system, after that gradually increase the capacity of the photovoltaic system to explore the impact on the feeder. In addition, smart inverter strategy is adopted to improve the power quality and enhance the hosting capacity. The impact in distribution feeder will basis on the renewable energy connected rules of Taiwan power company for following criteria：overvoltage、voltage deviation and voltage unbalance. After getting all the voltage impact on the feeder, and we can know how amount capacity of photovoltaic system can be connected to the feeder and will not cause endanger to the grid. This thesis use OpenDSS and MATLAB co-simulation. The advantage of OpenDSS is to model the system and do the fast power flow calculation. It can not only run independently but also execute pass through COM interface and connect with other software. In this thesis, MATLAB is use to calculate different sites and different capacity of the photovoltaic system. After that pass the message to OpenDSS by COM interface to model the photovoltaic system and do the fast power flow calculation. Finally, MATLAB will collect needed data and depict. Keywords：Hosting capacity、Stochastic analysis、Smart inverter control、power quality criteria