Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The considerable benefits of applying a DG-unit such as por loss reduction, environmental friendliness, voltage improvement, postponement of system upgrading, and increasing reliability, have resulted in significant research interest.  presents an application of the newly introduced sensory-deprived optimization algorithm (SDOA) to determine the optimal DG-unit's size, por factor and location to minimize the total system real por loss. The SDOA algorithm is a meta-heuristic, population-based optimization technique inspired by the intelligent behavior/survival of sensory-deprived human beings. To validate the results of applying SDOA, the IEEE 33-bus and 69-bus feeder systems are tested. The results are compared with those found using other methods. The outcomes verify that the SDOA is efficient, robust, fast and capable of handling mixed integer nonlinear optimization problems. The efficiency of the proposed SDOA is confirmed by the fact that the standard deviation of the results attained for 30 independent runs is virtually zero.
['Fahad S. Abu-Mouti', 'Mohamed E. El-Hawary']
I am writing a research paper on a idea Optimal DG placement for minimizing power loss in distribution feeder systems using sensory-deprived optimization algorithm
[{"from": "human", "value": "I am writing a research paper on a idea Optimal DG placement for minimizing power loss in distribution feeder systems using sensory-deprived optimization algorithm"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The considerable benefits of applying a DG-unit such as por loss reduction, environmental friendliness, voltage improvement, postponement of system upgrading, and increasing reliability, have resulted in significant research interest.  presents an application of the newly introduced sensory-deprived optimization algorithm (SDOA) to determine the optimal DG-unit's size, por factor and location to minimize the total system real por loss. The SDOA algorithm is a meta-heuristic, population-based optimization technique inspired by the intelligent behavior/survival of sensory-deprived human beings. To validate the results of applying SDOA, the IEEE 33-bus and 69-bus feeder systems are tested. The results are compared with those found using other methods. The outcomes verify that the SDOA is efficient, robust, fast and capable of handling mixed integer nonlinear optimization problems. The efficiency of the proposed SDOA is confirmed by the fact that the standard deviation of the results attained for 30 independent runs is virtually zero."}]