INTELLIGENT CONTROL SYSTEM FOR A HYBRID ENERGY COMPLEX BASED ON FORECASTING OF OPERATING CONDITIONS
Abstract
The paper discusses the development of a control system for a hybrid energy complex that integrates renewable energy sources such as solar collectors, heat pumps, and wind generators. The advantages and disadvantages of centralized and distributed control systems are analyzed. Special attention is paid to the use of forecasting methods for weather conditions and consumer energy demand in order to improve the efficiency of the energy complex. A two-level control architecture is proposed, consisting of a supervisory server responsible for strategy generation and a programmable logic controller that directly controls the equipment. The proposed approach enables optimization of operating modes, improvement of energy efficiency, and adaptation of the hybrid complex to changing operating conditions and consumer requirements.