Reaserchnig the Development of the Electrical Power System Using Systemically Evolutionary Algorithm
This work addresses optimization challenges in electrical power systems, but it appears incremental as it builds on existing evolutionary algorithm frameworks with systemic modifications.
The paper tackled the development of an evolutionary algorithm called Systemically Evolutionary Algorithm (SAE) for optimizing the Polish Electrical Power System, focusing on improving initial population creation and fitness function methods, with computational experiments conducted using Java, C++, and Matlab to present comparative results.
The paper contains the concept and the results of research concerning the evolutionary algorithm, identified based on the systems control theory, which was called the Systemically of Evolutionary Algorithm (SAE). Special attention was paid to two elements of evolutionary algorithms, which have not been fully solved yet, i.e. to the methods used to create the initial population and the method of creating the robustness (fitness) function. Other elements of the SEA algorithm, i.a. cross-over, mutation, selection, etc. were also defined from a systemic point of view. Computational experiments were conducted using a selected subsystem of the Polish Electrical Power System and three programming languages: Java, C++ and Matlab. Selected comparative results for the SAE algorithm in different implementations were also presented.