Power Supply Radius Optimized with Fuzzy Geometric Program in Substation

An optimization is made in this paper by means of classical geometric programming and geometric programming under the fuzzy environment, although the optimization is complicated in an economical radius for power supply from substations. The latter involves discussing geometric programmings of soft constraints and fuzzy coefficients, which are new models, aiming to enlarge the radius of power supply as much as possible with the least investment and the reduction of waste. Besides, by numerical examples, more satisfactory results are obtained in the paper, which testify the mentioned effects and the solution to the model as well. And finally, the paper demonstrates that the models built here contain more information than a classical static controlling optimum model.