Research On Flexibility Improvement Of Multi-energy Microgrid Considering Integrated Demand Response

Driven by the medium and long-term strategic goal of "carbon peaking and carbon neutrality",multi-energy microgrids have gained widespread attention.Multi-energy microgrids can supply electricity,gas and heat to customers at the same time,which is an important way to improve the overall energy efficiency and renewable energy consumption.However,with the high penetration of renewable energy and the diversity of customers’ energy use,the multi-energy microgrid faces many uncertainties on the power and load sides,and the net load of the system shows strong randomness and fluctuation,resulting in the lack of flexible regulation capability of the multi-energy microgrid.To this end,this paper investigates an integrated demand response model for improving the operational flexibility of multi-energy microgrids using micro gas turbines,power to gas and energy storage technologies,as follows.First,for the traditional linear demand response model is difficult to reliably estimate users’ energy use behavior,this paper gives a model of the main equipment of a multi-energy microgrid based on the coupling and complementary relationship between different forms of energy such as electricity and gas,and analyzes in detail the multi-energy microgrid dispatching model based on price-based nonlinear integrated demand response.Secondly,in order to smooth the net load curve of multi-energy microgrid,this paper proposes the optimal division method of peak and valley periods based on the shortest distance model and the fastest descent algorithm and integrates the uncertainty of users’ electricity and gas consumption behavior to propose the multi-energy microgrid scheduling method based on price-based nonlinear integrated demand response.The method combines the nonlinear response load model with the integrated demand response for the first time and introduces an evolutionary predation and prey strategy algorithm for optimization.The simulation results verify that the proposed model can significantly improve the operational flexibility of the multi-energy microgrid.Finally,in order to integrate customer satisfaction and source-load uncertainty,this paper defines a customer satisfaction and dissatisfaction model to quantify the impact on customer satisfaction due to the implementation of integrated demand response,and establishes a comprehensive customer satisfaction model that integrates electricity and natural gas loads;by taking uncertain wind power as a fuzzy random variable,an uncertainty risk quantification model based on credibility theory is constructed,and then a multi-energy microgrid flexibility enhancement method considering customer satisfaction and uncertainty risk is proposed.The method constructs a multi-objective optimization problem with the lowest operating cost and the highest customer satisfaction,solves it using multiple preys based evolutionary predator and prey strategy,and finally determines the final dispatching scheme using a technique for order preference by similarity to an ideal solution.The analysis of the algorithm shows that the developed multi-objective optimization model can improve the flexibility of the system operation by weighing the operating cost and risk of the multi-energy microgrid while ensuring customer satisfaction.