Transformer Load Regulation Strategy For Distribution Feeders Three Phase Unbalance

• Main Authors: Wu-Yi Guo, 郭武義
• Other Authors: Ming-Yuan Cho
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/03059815618748867523

碩士 === 國立高雄應用科技大學 === 電機工程系碩士班 === 95 === With the development of economic, the distribution system becomes more complex followed by the rapid load growth. Therefore the demand on high power quality and reliability have been concerned by customers. Providing stable power supply and better customer service are the main goal of Taipower company. Hence, the distribution engineer evolves a new methodology and technique to efficiently solve the problems related to power quality and operation performance. This paper proposes an artificial immune algorithm (AIA) based distribution transformer optimum phase connecting scheme to relief the feeder three-phase unbalance such that the more robust power supply can be achieved. In this thesis, an entire feeder load balance is defined as antibody as well as the objective function and the optimum distribution transformer phasing connection is defined as an antigen. In the AIA procedure, the affinity relationship among antigen group is applied to increase the diversity among antibody and the intimacy between antibody and antigen is used to avoid the local optimum solution such that the quick convergent speed and the global optimum solution can be achieved. Besides, in this thesis, the outage operation mapping system (OMS) and customer information system (CIS) are applied to evaluate hourly distribution transformers’ phase P/Q loading for three-phase load flow by considering the customer daily load patterns. Finally, a feeder located at kaohsiung district with the mixture of residential and commercial load customers is selected as a testing case for computer simulations. Results show that the proposed AIA can efficiently solve the feeder three-phase unbalance by deriving an optimum solution and the effectiveness and the practicality of the proposed method can be justified.