Multi-Time Scale Low-Carbon Economic Dispatch Of Regional Integrated Energy System

In the context of energy transformation and the "dual carbon" goal,how to achieve low-carbon economic dispatch of the regional integrated energy system(RIES)and improve the efficiency of various energy utilization while ensuring high penetration rate of renewable energy has become a research focus.RIES is a multi energy coupling system,and its optimized operation can effectively reduce wind and solar power curtailment.At present,the optimal operation of RIES is mainly to establish a unified model to realize the centralized decision-making of the system to develop a more low-carbon economic scheduling plan to improve wind and solar power consumption levels.However,due to various load demand constraints,traditional RIES has limited capacity for wind and solar power consumption.Therefore,it is necessary to establish a more comprehensive RIES framework to lay the foundation for future energy consumption and development.In summary,based on the traditional RIES energy structure,this article constructs a new RIES framework with "two-stage,four module" power to gas(P2G),fully tapping into the low-carbon economic regulation potential of the comprehensive energy system.The main research content is as follows:Firstly,this paper conducts research on regional integrated energy systems by introducing its framework and structure;establishes refined models for wind turbines,photovoltaic units,two-stage four-module P2 G technology as well as mathematical models for various storage devices;analyzes demand response technology theory along with carbon trading mechanisms while providing theoretical methods—fuzzy membership functions for constructing uncertain models related to comprehensive demand response which lays down foundations for subsequent chapters.Secondly,in order to reduce the carbon emissions of the regional integrated energy system,promote the consumption of renewable energy,and optimize the operating costs of the system,this paper presents the RIES low-carbon economy optimization scheduling strategy taking into account the stepped carbon trading mechanism,the P2 G two-stage refinement model and the participation of comprehensive demand response;Taking into account the costs of purchasing electricity and gas,equipment operation costs,penalty costs for wind and light abandonment,and carbon trading costs,an optimization scheduling model was established with the goal of minimizing the overall operating cost of the system.Four comparative examples were set up to verify the effectiveness of the proposed model in the low-carbon economy.Finally,a RIES multi time scale optimization scheduling model considering uncertainty was established to address the source load uncertainty problem of fluctuating wind and solar output and stochastic user energy response.In terms of source-side utilization,Latin hypercube sampling was used to generate initial scenes followed by scenario reduction using synchronous backtracking method leading up to error curves associated with fluctuating wind/solar output;At the load side,fuzzy mathematics method is used to deal with the uncertainty of comprehensive demand response,trapezoidal fuzzy membership function is used to build the uncertainty model of comprehensive demand response,and the transformation solution of the model is realized by using the clear class equivalence method.The effectiveness of the proposed strategy is verified through the comparison of numerical examples.