Infopro: TPP operation mode planning and optimization system

Main articles:

• CAD Computer-aided Design Systems
• Digital Twin of Organization (DTO)

2022: Grant for Refinement and Testing

The company GK INFOPRO received a grant from the Innovation Assistance Fund for the implementation of a project to finalize and test a program for modeling and optimizing TPP operation modes using machine learning technologies. This became known on March 15, 2022. The project is aimed at solving the problem of reducing the accuracy of equipment models based on regulatory and technical documentation, as well as ensuring the ability to quickly update models without involving engineering companies and conducting tests. The main novelty of the project is the development of a software module, with the help of which it is possible to build models of CHP equipment based on statistical information using artificial intelligence (machine learning) technologies, update the model data through the software product interface to maintain a high level of accuracy, as well as integrate the models into the design core of the optimizer, to solve the problems of compiling optimal work plans of the CHP on various time horizons.

At the CHP, NTD is developed and updated every 5 years. The problem is that the accuracy of the models built on the basis of NTD deteriorates during the operation of the equipment - the technical condition changes, equipment upgrades are made, fuel and energy resource flow patterns change. Thus, models quickly become obsolete and their predictions and optimal modes cannot be applied in practice. To update NTD, it is necessary to hire specialized engineering organizations with the necessary equipment and licenses, conduct procurement procedures, then conclude a contract, test the equipment, wait for the results of the development of a new NTD, and then create a new version of the models in the software complex. Accordingly, the process of updating the NTD is time consuming, requires financial costs and putting the equipment into test mode. Our project will solve these problems, noted Vadim Shlyapnikov, Development Director of INFOPRO Group of Companies.

The CHP operation mode planning and optimization system will have the following additional functions:

• Collection and analysis of statistical information on equipment operation mode
• A convenient set of interactive tools for visualizing, filtering and preparing data for subsequent digital model training
• Creation and training of models on a wide range of methods using machine learning technologies
• Accuracy analysis, comparison of models with fact and standard, ranking and selection of best for each piece of equipment
• Creation of a digital twin TPP based on a combination of models
• Integration of models into the design core to solve problems of optimization of modes and increase efficiency of TPP operation in power markets.

INFOPRO solutions for the automation of the calculation of technical and economic indicators (TEP) and the optimization of TPP operation modes for March 2022 have already been introduced at more than 125 stations in Russia and Kazakhstan. The use of artificial intelligence technologies will simplify the mechanism for updating system models, increase the accuracy and speed of calculations, increase the economic effects of working on energy markets, and also reduce the cost by optimizing the operation modes of^[1] equipment^[2]

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