Real-time Load Dispatch Optimization Of A Multi-Sources Complementary Urban Heating System

Energy is the foundation of social production and life,and also a very important part of national economic development.Nowadays,energy consume increasingly and environmental pollution becomes serious gradually.It’s time to propel internet plus smart energy and transfer our energy consume from fossil energy to clean energy.Multi-energy complementary urban heating system can complement each advantages of different heat sources,thus improving the efficiency of the whole system.In this paper,a multi-objective real time optimization model is built for a multi-sources district heating system,and the weight of optimization index is obtained based on analytic hierarchy process.The multi-sources system integrated gas boiler and combined heat and power generation units at the same time,and an improved particle swarm optimization algorithm is used to get the solution of the multi-objective model.Based on the simultaneously modular method,the mechanism model of gas boiler and combined heat and power generation unit is given.Compared to the traditional energy consumption curve method,the mechanism model can reflect the offdesign condition of each source.The mechanism model and analysis of multi-sources complementary district heating system with heat storage is given,and the discussion of the operation strategy of heating system with heat storage is proposed.A real time objective optimization model is proposed for that multi-sources district heating system.Meanwhile,the load of heat sources and delivery capacity of heating network is took as constraints.An improved particle swarm optimization algorithm is used to solve the operation and scheduling problem,and the dynamic-objective method is introduced to solve the complex constraint of heat network.The technology and realization processes of swarm optimization are presented.Multi-objective optimization evaluation system and optimization model of multi-sources complementary district heating system is established in considering the energy consumption,cost value,energy policy and pollutants.The fuzzy analytic hierarchy process is used to establish the complementary judgment matrix,and the weight of each optimization index of heating system is obtained through consistency check and standardization.The particle swarm algorithm is used to solve the problem,and the optimal load dispatch of heating system is obtained considering economic,energy and environment.The optimal dispatch conducted in a multi-sources complementary district heating system indicates that the total energy consumption saves a lot after optimization.