@article{oai:kitami-it.repo.nii.ac.jp:00008395, author = {OBARA, Shin'ya and WATANABE, Seizi}, issue = {782}, journal = {日本機械学会論文集 B編(Web)}, month = {Oct}, note = {Integrating distributed energy resources can reduce power transmission losses, improve the efficacy of waste heat usage, and utilize green energy. To promote the spread of green energy, improve the method of supplying energy in times of disaster, and utilize waste heat more efficiently, a distributed energy system using a microgrid was examined in this study. Generally, the output characteristics of the power sources using a microgrid are nonlinear. Furthermore, because multiple power sources are used in microgrids, many variables must be considered to optimize the system. Although the operation of energy systems has been optimized before, nonlinear problems with many variables have only been approximated by linear formulas with mixed-integer-programming. Furthermore, in this study, a method of searching for the optimal solution with a genetic algorithm (GA) is also reported. Any method for obtaining the optimal solution will require a longer time if the number of variables is increased or a higher accuracy is required in the analysis. Otherwise, only quasi-optimal solutions and unsatisfactory solutions of the energy balance equations are obtained. Therefore, orthogonal arrays are employed in this paper to reduce the complexity of the problem to plan the optimal operation method of a compound energy system. The operation range of the system that is considered to include the optimal operation method is limited to narrow range with an orthogonal array. Next, a solution for the optimal operation is obtained within the range obtained by the factor-effect figure using a GA. An example is given in this paper to explain the GA-orthogonal array hybrid analyzing method. The proposed analysis method can be utilized to improve the design parameters and the accuracy of the performance analysis.}, pages = {2004--2018}, title = {直行表-GAハイブリッド解析による複合エネルギーシステムの運用解析}, volume = {77}, year = {2011} }