OPTIMIZATION OF ENERGY PROCESSES IN ENERGY SUPPLY SYSTEMS WITH NON-INSTRUTIVE MONITORING

Abstract

The development of decentralized systems empowers local communities by reorienting energy production from centralized to local, community-driven systems. Traditional energy management systems for optimizing the use of electricity by consumers control electricity receivers with the help of intrusive electricity meters. For decentralized, the technique of non-intrusive load monitoring is used, which is a popular approach for monitoring the energy consumption of appliances or electrical networks in buildings using a single Smart energy meter. The need to develop appropriate optimization algorithms, build monitoring systems and control systems for system management is an urgent task. Smart monitoring systems are mainly used to solve load balancing and optimization problems in local power systems. The use of modified Friese power allows the analysis of energy processes in decentralized systems. The paper presents the assessment of energy processes based on data obtained from the use of non-intrusive monitoring, and developed a step-by-step algorithm for monitoring balancing in the node to optimize energy consumption in the building and network. Balancing energy consumption in the node under the specified conditions can be represented by two stages: schedule alignment due to demand management mechanisms and mutual balancing in the node taking into account the joint work of the entire set of consumers connected to the node. The use of the given balancing monitoring algorithm based on the data obtained from non-intrusive monitoring provides opportunities to assess potential opportunities for energy supply optimization; control of energy consumption by buildings; implementation of demand programs to obtain economic benefits for consumers.