Open AccessDecentralised method for solving multi‐area stochastic dynamic economic dispatch problem
Author(s) -
Zhao Wenmeng,
Zhou Baorong,
Liu Mingbo,
Yao Wenfeng,
Lu Siyu,
Wang Tong
Publication year - 2017
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2017.0752
Subject(s) - computer science , mathematical optimization , economic dispatch , electric power system , wind power , computation , sampling (signal processing) , reliability (semiconductor) , volatility (finance) , power (physics) , operations research , engineering , mathematics , algorithm , econometrics , physics , filter (signal processing) , quantum mechanics , electrical engineering , computer vision
This study discusses the implementation of a decentralised optimisation method for the multi‐area stochastic dynamic economic dispatch (MASDED) of power systems with wind power integrated. Firstly, the volatility of wind power is represented by sampling wind scenarios, and the consensus constraints of tie‐line power flows among the forecast scenario and sampling scenarios are built. Secondly, the multi‐area power system is decomposed into different areas by creating a coordination centre and duplicating boarder variables. Finally, analytical target cascading method is applied to solve the MASDED in a decentralised way. The master problem of the coordination centre, the forecast scenario subproblems, and the sampling scenario subproblems of each area are solved iteratively. In order to increase computation speed, the decentralised deterministic optimisation is implemented before the decentralised stochastic optimisation. The three‐area IEEE reliability test system is tested to demonstrate the effectiveness of the proposed method.