Multi-energy Storage Co-configuration And Optimized Operation Of Regional Integrated Electricity-heat Systems

Energy systems are facing many challenges,and the concept of integrated energy systems,an important physical carrier of the energy Internet,has emerged.The integrated energy system with electricity and heat as the main form of energy is also called integrated electricity-heat systems(IEHS),in which multi-energy storage plays the role of integrating energy subsystems,so it is of theoretical value and engineering significance to research the configuration and operation of multi-energy storage to improve energy utilization efficiency,promote new energy development and ensure social energy security.Based on the above background,this paper carries out the research on the cooperative configuration of energy storage in regional integrated electricity-heat systems and the optimized operation of integrated electricity-heat systems with energy storage,and the main contents of the research work are as follows.(1)In terms of multi-energy storage co-configuration,a regional IEHS energy storage co-configuration method considering the differentiated modeling of electric/heat/cooling multi-energy storage is proposed.The basis of multi-energy storage cooperative configuration is coupled energy flow and storage characteristics description.First,an IEHS model based on electric-thermal network modeling is established on coupled energy flow;then,an electric energy storage active-reactive model and a thermal/cold energy storage refinement model are established on storage characteristics description based on energy storage commonality,and the integrated efficiency of multi-energy storage is defined for controlling the impact of different types of energy storage efficiency on comprehensive energy utilization efficiency.Subsequently,a multi-storage co-configuration model is established and solved by a hybrid strategy combining genetic algorithm and Gurobi solver.The algorithm compares the multivariate energy storage co-configuration with separate configurations and analyzes the impact of multivariate energy storage variability and integrated efficiency on energy storage configuration.(2)In terms of IEHS optimal dispatching with energy storage,this paper proposes IEHS optimal dispatching method from the perspective of complementary coordination of electric/thermal energy storage.First,the IEHS model is established by considering the thermal storage characteristics of the heat network and the node state constraints such as voltage and temperature of the energy supply network;then,the complementary coordination relationship between the three types of energy storage connected to new energy,thermal storage connected to CHP and thermal storage connected to electric heating equipment is analyzed in the scenarios of new energy abandonment and electric load shaving;after that,the IEHS optimal dispatching model is established;finally,the coupled system of IEEE-33 node distribution network and 45 node thermal network is analyzed as an example.The results show that the coordinated operation of electric energy storage and thermal energy storage can effectively absorb the waste power of new energy and reduce the peak load of electric power.(3)To cope with the economic and safety problems caused by the uncertainty of the planned and actual intra-day deviation of interaction power between IEHS and multi-energy microgrids,a coordinated robust optimal operation strategy is proposed in this paper.First,a deterministic coordinated operation two-layer planning model is established based on the master-slave game theory and converted into a mathematical planning problem with equilibrium constraints using linearization techniques such as KKT conditions and binary expansion method.After that,a two-stage robust optimization model is established,with the first stage being the d ay-ahead coordinated operation under the desired scenario and the second stage being the robustness check of the intraday operation under the worst-case scenario.The worst-case scenario feedback in the second stage is improved for the specificity of the u ncertainty set of the interaction power deviation,and the interaction power safety limit adjustment constraint is added in the first stage.Also,the second-stage decision includes the battery storage charging and discharging state variables,which improves the flexibility of energy storage to cope with uncertainties.Finally,the nested C&CG algorithm is used to solve this two-stage robust optimization problem with mixed-integer recourse.The algorithm analyzes the impact of battery storage operation mode and interactive power uncertainty on IEHS operation.