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Optimal Energy Management Method For Community-level Integrated Energy System With Multi-Paticipants

Posted on:2020-10-24Degree:MasterType:Thesis
Country:ChinaCandidate:J WangFull Text:PDF
GTID:2392330578468930Subject:Engineering
Abstract/Summary:PDF Full Text Request
In order to achieve efficient utilization and sustainable development of energy,community-level integrated energy system(IES)with combined heat and power(CHP)and photovoltaic(PV)system has been paid extensive attention.CHP systems could provide electrical and thermal energy for prosumers,which improves system efficiency enormously.In addition,distributed photovoltaic system has developed rapidly,whose environmental protection benefit is prominent.For above reasons,in order to facilitate energy sharing and improve renewable energy nsumption,optimal energy management method for community-level integrated energy system with multi-paticipants is studied in depth,including two aspectes:PV prosumers and MG cluster.As for integrated energy system with CHP system and PV prosumers,the electrical and thermal energy sharing management method based on coalitional game is proposed.First,a coalitional game model for CHP system and PV prosumers with corresponding utility function is presented,in which CHP can supply thermal and electrical energy simultaneously,and the roles of PV prosumers are exchangeable to reduce operation cost.To minimize the coalitional cost,we integrate generalized demand response into the coalitional game,which includes the electrical and thermal energy sharing between CHP operator and prosumers,electrical energy sharing among prosumers,and the energy consumption behaviors of prosumers and new heat-power interactive characteristic.Moreover,this hybrid energy sharing problem is sloved by distirbuted optimal scheduling algorithm based on alternating direction method of multipliers(ADMM).In order to guarantee fairness of allocation and reduce computational complexity,a two-level reward allocation strategy based on coalitional game is proposed.Finally,the validity of the energy sharing method and reward allocation scheme is verified by a practical case study.Simulation results show that PV prosumers participate in electrcial and thermal hybrid demand reponse consideringa heat-power interactive characteristic to reduce operation cost actively.The cost of each prosumer is reduced and the profit of CHP operator is increased.As for integrated energy system with microgrid(MG)cluster,a electrical and thermal hybrid energy sharing method with consideration of CHP system and DR is presented.First,a hybrid energy sharing model for MG cluster including CHP and PV system with consideration of multi-time scale characteristics is established.The CHP can choose operation point flexibly,which operates in a hybrid mode(HM).In addition,with comprehensive consideration of generation cost of CHP,trading cost with the main grid,trading cost of electricity and heat with other MGs,load characteristic,power consumption utility and discomfort cost of thermal energy,we construct subproblems of MGs.Moreover,we solve this hybrid energy sharing problem by a distributed optimal algorithm considering electrical and thermal prices,in which a single electicity transaction mode is extended to the hybrid transaction mode with both electricty and heat.Finally,the effectiveness of the proposed energy sharing model and algorithm is verified by numerical simulation.Simulation results shows that total operation cost and the cost of each MG are reduced,and the system energy efficiency is improved based on this energy sharing scheme.
Keywords/Search Tags:integrated energy system, energy sharing, demand response, combined power and heat, distributed optimization
PDF Full Text Request
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