Multi-index evaluation for integrated energy system operation connecting transmission and distribution levels

被引:0
|
作者
He Y. [1 ,2 ]
Zhang Y. [1 ]
Ma G. [1 ]
Guo C. [1 ]
Zhou Y. [3 ]
Ye G. [3 ]
机构
[1] College of Electrical Engineering, Zhejiang University, Hangzhou
[2] Power Dispatching and Control Center of China Southern Power Grid, Guangzhou
[3] State Grid Hangzhou Power Supply Company, Hangzhou
基金
中国国家自然科学基金;
关键词
Energy hub; Energy management; Integrated energy system; MS-MC sampling; Optimal multi-energy flow; Reliability analysis; Sequential linearization;
D O I
10.16081/j.epae.201908021
中图分类号
学科分类号
摘要
In order to quantify the impact of multiple uncertainties such as wind power fluctuations and equipment random failures on the IES(Integrated Energy System), a multi-index evaluation method for IES operation is proposed. In terms of modeling, the unified framework including the energy network in upper transmission level and the EH(Energy Hub) in lower distribution level is established, and the coupling characteristics of electricity, gas and heat in the whole process of generation-transmission-distribution-utilization are described in detail. In terms of methodology, wind power fluctuations and equipment failures are handled by state-space partitioning respectively, while the MS-MC(Mixed Scatter-Monte Carlo) sampling method is proposed to accelerate evaluation convergence. Meanwhile, sequential linearization method is adop-ted to solve the optimal multi-energy flow problem for the balance of approximation accuracy and solution speed, which further improves the efficiency of evaluation. In terms of indicators, facing the low carbon ope-ration environment, a multi-index evaluation framework including operation economy, system reliability, wind power accommodation, environment protection and so on is established to comprehensively describe the impact of multiple uncertainties on IES operation. The effectiveness and rationality of the proposed methods are verified by the simulations on RTS79-40Node IES with 17 EHs. © 2019, Electric Power Automation Equipment Press. All right reserved.
引用
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页码:120 / 127and136
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