Research On Optimization Of Distributed Energy Supply System Based On Natural Gas-Solar-Geothermal Complementation

The development and utilization of renewable energy has become the only way for the sustainable development of energy.Although renewable energy has the advantages of being environmentally friendly and inexhaustible,it also has the disadvantages of large fluctuations and strong randomness.At present,the technology of using a renewable energy source to supply energy is not yet mature.Complementation of natural gas and renewable energy is an effective way to solve environmental pollution and overcome the instability of renewable energy.In this paper,a hybrid combined cooling,heating and power(CCHP)system with natural gas,solar energy and geothermal energy as the input energy is designed to meet the user’s loads,which provides a new research strategy for promoting the utilization of renewable energy.Firstly,the types of energy conversion equipment are determined according to the types of energy sources available,and the integrated models of the distribution system and the joint supply system are respectively established according to the energy flow relationship.Combined with the structure of the system,the specific operation modes of three operation strategies(following electric load,following thermal load,and following hybrid load)are discussed.Secondly,in order to verify the superiority of the proposed system,a hotel in Beijing is taken as the research object.Taking the primary energy saving rate,annual cost saving rate and carbon dioxide emission reduction rate as the objective function,the multi-objective genetic algorithm is used to optimize the equipment capacity configuration and hourly operation mode of the CCHP system.And the optimization results of the CCHP system are analyzed from multiple levels.Finally,the opportunistic constraint theory is used to model the uncertainty of photovoltaic and user load.And from the perspective of typical day,based on the following electric load operation strategy,the influence of uncertainty of photovoltaic and user load on the configuration and performance of the hybrid CCHP system is studied.