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Distributed Optimal Dispatching Of Electricity-Gas-Heat Integrated Energy System

Posted on:2022-05-26Degree:MasterType:Thesis
Country:ChinaCandidate:H X ZhuFull Text:PDF
GTID:2492306569979819Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
The electricity-gas-heat integrated energy system is an important physical carrier of the energy Internet and one of the important means to solve energy problems.The multi-energy complementation of different energy systems can effectively improve the economy and flexibility of system operation,but the complexity of multi-energy flow interaction in integrated energy systems also poses challenges to system scheduling.There are multiple energy suppliers in the integrated energy system,and each energy supplier usually only provides some information to other suppliers for privacy protection.Therefore,under the condition of incomplete information,the centralized scheduling method is no longer applicable.Under the above background,this paper starts from the refined modeling of the electricitygas-heat integrated energy system,and establishes a single-region and multi-region electricitygas-heat integrated energy system optimal dispatch model,and then the distribution of the electricity-gas-heat integrated energy system The research on optimization scheduling is carried out,and the main summaries are as follows:(1)An electricity-gas-heat integrated energy system model considering the dynamic characteristics of the network is established.Partial differential equations are used to describe the dynamic characteristics of the natural gas network and the thermal network,and the electricity-gas-heat integrated energy system model considering the dynamic characteristics of the network is established.(2)Established a single-region electricity-gas-heat integrated energy system optimal dispatch model and proposed a corresponding distributed dispatch framework.Aiming at the problems that are difficult to solve due to the non-convex constraints of the established dynamic gas network model,the convex-concave penalty process is used to realize the convexity of the model.Aiming at the problem that the three sub-systems of electricity,gas and heat in the electricity-gas-heat integrated energy system belong to the 3-block optimization problem in distributed computing,it is difficult to use conventional distributed algorithms to obtain a convergent solution.A forced equality ADMM is proposed.Algorithm(ADMM-FE).In this algorithm framework,the outer layer optimizes the convex model using the process of penalizing convex-concave,and the inner ADMM-FE algorithm solves the convex model of the outer layer to obtain a convergent solution.The calculation results of the proposed algorithm and the traditional ADMM algorithm and centralized optimization algorithm are compared through simulation analysis of a calculation example,and the obtained results verify the effectiveness of the proposed model and the optimization algorithm framework.(3)Established a multi-zone electricity-gas-heat integrated energy system optimal scheduling model and corresponding distributed scheduling framework,and proposed an interval decoupling mechanism and a convex acceleration strategy.Aiming at the problem that the existing multi-zone integrated energy system optimal dispatch model lacks accurate modeling of the heating network model,a distributed optimal dispatch model of the multi-zone interconnected electricity-gas-heat integrated energy system considering the topology of the heating network is established.Aiming at the problem that the second-order cone convexity of the natural gas power flow model is too slow,a convexization acceleration strategy is proposed.Secondly,the decoupling mechanism of the multi-zone interconnected electricity-gas-heat integrated energy system is established,the bus-bar tearing method is used to realize the interzone decoupling of the multi-zone interconnected system,and the alternating direction multiplier method is used to solve the model.
Keywords/Search Tags:Electric-gas-heat integrated energy system, Distributed optimization scheduling, Alternating direction method of multiplies, Second-order cone programming, Convex acceleration strategy
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