基于二层规划的用户侧能源互联网规划

doi:10.19595/j.cnki.1000-6753.tces.L70143

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Abstract Because of the situations that the interconnection among multi distributed energy system(DES) and interaction among electric,heating and cooling system are not given full consideration,optimal planning of energy internet near user side based on bi-level programming is studied in this paper.First,schematic structure along with mathematic models of each unit is proposed and load characteristic is analyzed.Considering the interconnection of multi energy as well as multi distributed system and the combined dispatch of multi energy flow,a bi-level programming model is then presented.The minimum of total annual cost is the objective of upper model whose decision variables are the capacity of each energy unit and minimum annual operating cost is the lower model’s objective whose decision variables are the output of all energy units.Then,the elitist strategy genetic algorithm is employed to solve the upper model and branch & bound algorithm is applied to optimizing lower model that is a mixed integer linear programming problem.The simulation results indicate:the proposed planning method of energy internet is effective;multi energy flow interaction and multi energy router interconnection are more economic than traditional combined cooling heating and electricity (CCHP) and can alleviate the mismatch of heat-to-electricity ratio between gas turbine and loads;multi energy networks by which DES are interconnected contributes to higher economic benefits than single electric or heating network.

Key words： Near user side energy internet energy router bi-level programming multi energy interconnection combined dispatch of multi energy flow

Received: 12 August 2016 Published: 10 November 2017

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TM715

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	Wu Cong
	Tang Wei
	Bai Muke
	Zhang Lu
	Cong Pengwei

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Wu Cong,Tang Wei,Bai Muke等. Optimal Planning of Energy Internet near User Side Based on Bi-Level Programming[J]. Transactions of China Electrotechnical Society, 2017, 32(21): 122-131.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.L70143 OR https://dgjsxb.ces-transaction.com/EN/Y2017/V32/I21/122

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