Development of Decision Support System for Data Analysis of Electric Power Systems

The work identifies the problem of comparing the analysis results of automated power metering system data produced by using a variety of mathematical, statistical and intelligent methods. Today, operators of such systems analyzing the charts of energy consumption independently decide on inspection of electrical power facilities. With the proliferation of such systems in the household sector, this approach is becoming ineffective. The solution to this problem is in implementation of decision support systems in energy retail companies. The authors have developed the structure of decision support system that enables analyzing the data and comparing the analysis results obtained with different methods, as well as generating recommendations for an operator of power metering systems. The paper describes the subsystems, blocks and modules of the system, their purpose, function and operation algorithms, as well as the relationships and ways of interaction of different system modules. Based on the proposed structure, the software specification can be compiled.