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TICHAA JOHNSON PENN 한동대학교 국제개발협력대학원 2019 국내석사
As costs and consequences of manual power grid operations continue to offset reliability improvement efforts, a smarter approach to network operation is becoming a global trend. The benefits of an automated distribution system are multiple, from improved reliability and operation efficiency to safety improvement of network operators. Network automation, however. comes at a cost which explains the reluctance of several grid operators to adopt this technology. Partial network automation, that is, installing smart communicating switches at specific locations on the network rather than the entire network is a more palatable approach to tackle the high costs associated with total network automation which is actually unnecessary. And, in many cases, an inefficient approach to network automation results in diminishing returns. Knowing where to install the smart switches in a partially automated network and determining the optimal number to deploy are, therefore, key factors when deciding to go smart on network operation. In this study, an approach to solve this optimization problem based on the human-immune-system-inspired immune algorithm is developed, associating the problem and optimal solution in the same way how human body associate with pathogens and how optimal immune cells derive from the immune memory function. Implementing this method on the 15KV D14 Feeder of the Ngodi-Bakoko Distribution Substation in Cameroon yielded a 36% improvement in the Total System Cost upon partial optimization and a 13% improvement with respect to the heuristically derived partial automation scheme which would have been believed to be the optimal solution to automate D14 based on prior experience
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