计及多能流不确定性的综合能源系统优化配置

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Abstract The comprehensive energy system has great operation uncertainty. Ignoring this uncertainty in the planning process will lead to the problem of too ideal equipment configuration capacity and low equipment utilization rate. The integrated energy system collaborative planning model is established by using affine variable, and the affine optimization model is decomposed into two subproblems: minimum value target in the center of the affine function and minimum variation of affine function due to the impact of uncertainty factors. The former only considers the source of power load forecast uncertainty optimization model. The latter considers the source load prediction error, and makes the configuration result least affected by uncertain factors by alternating iteration of max model and min model. An example of comprehensive energy system planning in a park is used to verify the effectiveness and economy of the proposed method.

Key words： integrated energy system planning energy hub uncertainty affine optimization

Received: 16 August 2021

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	Articles by authors
	GAO Tongtong
	SHAO Zhenguo
	CHEN Feixiong

Cite this article:

GAO Tongtong,SHAO Zhenguo,CHEN Feixiong. Optimal allocation of integrated energy system considering the uncertainty of multi-energy flow[J]. Electrical Engineering, 2022, 23(3): 1-10.

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http://dqjs.cesmedia.cn/EN/Y2022/V23/I3/1

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