Optimal calculation of the operation strategy of a distributed heating system combining wind, solar and electrical energy

Abstract In this paper, a distributed combined heating system is proposed, composed of an electrically driven air source heat pump (two-stage compression type), solar collector, wind turbine heater, and thermal storage device. A multi-objective optimization mathematical model established, aiming to minimize the operating cost carbon dioxide emission during certain time. The planning problem used guide solutions building problems in Northern China. Subsequently, for specific example, NSGA2 algorithm solve calculation. Based on compromise solution two objectives, optimal operation strategy determined: amount generated or stored by each device typical day. as follows. low load period (9:00-16:00), which coincides with sunny period, production collectors heaters exceeds load, stores surplus heat. During peak hours (0:00-9:00, 16:00-24:00), are not activated because irradiance nearly zero. And at point, fluctuates greatly, turns out be main equipment release when necessary.