Improved Extreme-Scenario Extraction Method For The Economic Dispatch Of Active Distribution Networks

Yipu Zhang, Xiaomeng Ai, Jiakun Fang, Jinyu Wen

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Abstract

Optimization techniques with good characterization of the uncertainties in modern power system enable the system operators well trade-off between security and sustainability. This paper proposes the extreme-scenario extraction based robust optimization method for the economic dispatch (ED) of active distribution network with renewables. The extreme scenarios are selected from the historical data using the improved minimum volume enclosing ellipsoid (MVEE) algorithm to guarantee the security of system operation while avoid frequently switching the transformer tap. It is theoretically proved that if the decision can be adaptive to the selected extreme scenarios, it can be robust to all the possible scenarios. Simulation results demonstrate that the proposed improved MVEE algorithm significantly reduces the number of scenarios so that the computational burden is dramatically cut down. Additionally, compared to the existing robust optimization approach, the proposed method is less conservative for the smaller size of the uncertainty set.
OriginalsprogEngelsk
TidsskriftThe Journal of Engineering
Vol/bind2017
Udgave nummer13
Sider (fra-til)1560-1564
Antal sider6
DOI
StatusUdgivet - 2017
Begivenhed6th Renewable Power Generation Conference (RPG 2017) - Wuhan, Kina
Varighed: 19 okt. 201720 okt. 2017

Konference

Konference6th Renewable Power Generation Conference (RPG 2017)
Land/OmrådeKina
ByWuhan
Periode19/10/201720/10/2017

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