| Energy is a solid foundation for human survival and the promotion of social progress,change the energy supply system,the development of green energy has become the consensus of countries around the world.As a kind of miniature integrated energy system,micro-energy grid is the physical carrier of energy internet,which integrates various heterogeneous energy sources such as electricity,gas,heat and cooling,and opens a new path to accelerate the achievement of the double carbon goal and establish a new type of power system.Studying the optimal scheduling strategy of the micro-energy grid will further improve the energy utilization rate and economic efficiency of the micro-energy grid,and effectively alleviate the pressure of energy shortage and environmental pollution.Micro-energy grid is a typical CyberPhysical System(CPS),therefore,this thesis takes the electric-gas coupled micro-energy grid system as the research object and conducts the following researches on the system modeling and optimal scheduling:(1)The system structure of the micro energy grid with electric-gas coupling and the operation mechanism of each energy equipment are analyzed,and the model of the whole system is established.Firstly,the micro-power state space model of droop control inverter power supply and micro-gas turbine power generation system is established.Combined with the small-signal state space model of network and load,the overall state space model of electric-gas coupling system is constructed.The control parameters in the model are determined by analyzing the distribution of the characteristic roots of the state matrix of the electric-gas coupling micro-energy grid system.Finally,the correctness and validity of the model are verified by time domain simulation analysis,which lays a foundation for the optimization of micro-energy grid scheduling.(2)Research on the optimal scheduling strategy of CPS for micro-energy grid based on Petri net.For the problem of optimal scheduling of micro-energy grid system with cyberphysical convergence,multi-agent system is used to model renewable energy,natural gas and energy storage modules respectively,and the network topology structure of CPS in micro-energy grid was constructed based on Petri net theory.Taking the minimum operating cost and maximum utilization of clean energy as the optimization goal,the optimization scheduling model of micro-energy grid was established,and the improved Sparrow Search Algorithm was adopted to solve the problem.Finally,the proposed method is verified to be able to improve the utilization of renewable energy and realize the low carbon economic operation of the system through the simulation of arithmetic cases.(3)Research on optimal scheduling strategy of micro-energy grid system based on CPSS.Based on the CPS of micro-energy grid and considering the influence of social factors and human behavior,a micro-energy grid scheduling architecture based on the convergence of CyberPhysical-Social System(CPSS)is constructed to describe the physical system,information system and social system from three perspectives of energy flow,information flow and capital flow,respectively.The CPSS oriented micro-energy grid contains an object layer,a fusion layer and an optimization layer,in which the object layer uses the form of feature vectors to describe the energy flow,information flow and capital flow.In the convergence layer,the state transfer of energy units and the interaction between the three streams are modeled.In the optimization layer,an optimal scheduling model is established with the objective of minimizing the optimal operating cost of the system,and the optimal scheduling results are obtained by solving with an improved sparrow search algorithm.Finally,a micro-energy grid in a park was taken as an example for simulation study,which verified that the proposed method could synthesize various factors to obtain the optimal scheduling strategy,and realize the precise regulation and control of energy units. |
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