| Energy is the cornerstone of social development and the lifeline of industry.Under the trend of energy development in the society,the electric-gas-thermal micro-energy network has been widely concerned because it can slow down the phenomenon of wind abandonment and improve energy efficiency.Based on the background of"energy internet",micro-energy network expands the traditional micro-grid,which is a multi-energy coupling and interconnected system.The micro-energy network uses multi-energy coupling equipment and integrates many kinds of energy,such as cold,heat and electricity,to improve energy efficiency.With the support of traditional micro-grid technology,it integrates the economic,energy-saving and environmental characteristics of the combined cooling,heating and power supply system,so that it can play a greater role in the production potential.Optimal scheduling is an effective way to study the rational allocation of resources.Rational optimization of network model can reduce operating costs and improve energy efficiency.Based on the above background,the main research contents of this paper are as follows:(1)Firstly,based on the analysis of the development status of CCHP system and micro-energy network at home and abroad,the research significance of optimal dispatch of electric-gas-thermal micro-energy network is expounded.By analyzing the energy supply structure of micro-energy network and fully considering the coupling mechanism of micro-energy network,detailed mathematical models of photovoltaic,micro-gas turbine,electric refrigerator,electric boiler,absorption refrigerator,heat exchanger and storage battery are built.(2)Secondly,by studying the optimal dispatching model of micro-energy network,the lowest operating cost is taken as the objective function,and the traditional quantum particle swarm optimization algorithm is improved by introducing chaotic principle,variable weight update population location center and random mutation search to solve the economic optimization model of micro-energy network in different seasons.(3)Finally,based on the establishment of single objective optimal dispatching model,the multi-objective optimal dispatching model of micro-energy network is established with the lowest operating cost,environmental cost and energy conversion cost.Meanwhile,the improved analytic hierarchy process(AHP)is introduced to transform the multi-objective problem into a single-objective problem,and the improved quantum particle swarm optimization(QPSO)algorithm is used to solve the problem.Compared with single objective and multi-objective,the results show that the multi-objective model is more suitable for practical application.It can take into account the operation cost,environmental cost and primary energy conversion cost,and improve the absorption of renewable energy.At the same time,in order to analyze the working characteristics of the micro-energy network in detail,this paper analyzed the optimal dispatching model of the network by changing the electricity price,natural gas price and thermal power ratio,and analyzed the influence of the output of coupling equipment on the network economy under different factors. |
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