Optimization Method Research On Integrated Energy Based On User Demand

As in the Integrated Energy System(IES),access to a micro-turbine generator(MTG)based controllable distributed power supply provides users with more solutions for reducing energy costs.For a regional IES with a network structure and multiple forms of energy,information cannot be completely transparently shared between various energy sources,and in order to reduce the consumption of computing resources,the systems need to be interconnected for distributed computing.How to divide the units and apply a reasonable algorithm to meet user needs is an important direction for future research.This thesis studies the optimal operation of single-point user-side IES,the optimal operation of regional network-side IES,and construction planning.First of all,this thesis aims at the optimization operation of user-side IES,and establishes economic operation and physical operation models.It is proposed to divide the grid-connected switch of the system and the main network into two special MTG units to participate in the joint optimization of the remaining distributed power sources.Then based on the idea of parallel computing,the Augmented Lagrange Method(ALM)is improved,so that the output values of all distributed units in each round of iterative calculation are updated at the same time,simplifying the calculation process.Finally,the method is compared with the centralized algorithm and serial calculation method,and the method is verified under severe operating conditions.Secondly,the economic and physical models of network-side IES optimization operation problems are established.The electric/gas/thermal subsystem classification is based on the energy category,and the MTG with waste heat boiler is used as the coupling point to achieve overall optimization with less system information exchange.Aiming at the subsystem classification method,the traditional alternating direction method of multipliers(ADMM)was improved to make it suitable for the optimal problem of three separable variables.Decomposition correction is used to introduce two additional dual operators to speed up the optimization calculation of similar scenarios.Finally,for the construction planning of network-side IES,considering the analysis of construction costs in isolation,the optimal solution should be no construction.The construction planning plan must be compatible with future operating conditions.Therefore,the optimization of construction investment costs is converted into the costs of the entire future operating cycle,and the various operating scenarios are clustered by month.The implementation within a basic time cycle.The plan with the best operating cost will be the optimal construction choice for the entire cycle.Based on this,ADMM algorithm is used for joint optimization,and compared with the centralized optimization algorithm to verify the effectiveness of the method.