Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Minimizing the total active por loss and voltage drop are the two important challenges for por transmission and distribution in an unbalanced por flow problem for any por distribution system. This can be achieved by installing the proper sized switching capacitor at proper place in a por distribution system.  deals with the design of distributed por systems and optimal switching capacitor placements based on the Fuzzy-Extreme Learning Machine (FELM). The intelligent por automation system requires fast determination of site and size of the switchable capacitors in the system bus through the centralized control units based on the system load. But in case of conventional, ANN and other models available on the literature they are time consuming and less performing under a dynamic environment. To overcome this problem,  propose FELM mechanism to obtain an optimal switching capacitor placement in por distributed system. Fuzzy logic and its inference systems are used in ELM and the resultant FELM is to be used to find the site and size dynamically. Finally, the results are compared with a standard 34-bus test system with other models, with respect to the capacitor placement on the networks, savings and the computational time.
['K. S. Ravichandran', 'Salem Saleh Saeed Alsheyuhi']
I am writing a research paper on a idea FELM based intelligent optimal switching capacitor placement
[{"from": "human", "value": "I am writing a research paper on a idea FELM based intelligent optimal switching capacitor placement"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Minimizing the total active por loss and voltage drop are the two important challenges for por transmission and distribution in an unbalanced por flow problem for any por distribution system. This can be achieved by installing the proper sized switching capacitor at proper place in a por distribution system.  deals with the design of distributed por systems and optimal switching capacitor placements based on the Fuzzy-Extreme Learning Machine (FELM). The intelligent por automation system requires fast determination of site and size of the switchable capacitors in the system bus through the centralized control units based on the system load. But in case of conventional, ANN and other models available on the literature they are time consuming and less performing under a dynamic environment. To overcome this problem,  propose FELM mechanism to obtain an optimal switching capacitor placement in por distributed system. Fuzzy logic and its inference systems are used in ELM and the resultant FELM is to be used to find the site and size dynamically. Finally, the results are compared with a standard 34-bus test system with other models, with respect to the capacitor placement on the networks, savings and the computational time."}]