Ai, Xiaomeng

Fang, Jiakun

Wen, Jinyu

Zhang, Yipu

The Journal of Engineering

English

Yipu Zhang

Xiaomeng Ai

Jiakun Fang

Jinyu Wen

Crossref

Improved extreme‐scenario extraction method for the economic dispatch of active distribution networks

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

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

https://vbn.aau.dk/files/271965809/JOE.2017.0593.pdf

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

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