A system state modelling and ABC algorithm optimization for CCHP and smart building

Combined cooling, power and heat (CCHP) technics are widely used in district energy utilization. The domestic application of high energy efficiency buildings, regarded as smart buildings, rely on CCHP technics to improve overall performance. Dynamic process optimization is used to improve systems with its consumer comfort, carbon footprint, cost effectiveness and resilience. In this paper, a passive building module is proposed as a load for inserting CCHP generation, and an artificial bee colony is selected to analyze the performance of the proposed module. The module is divided into centralized generation and decentralized generation topologies, and a contrast analysis is also proposed. Artificial Bee Colony (ABC) algorithm is used to solve problems with both state variables and decision variables existing simultaneously. The study shows that the proposed method can well reproduce the strategy and reveal the performance of the standard of smart buildings. Each characteristic of the smart building strategy is given in this passage.