Adaptive uncertainty sets‐based two‐stage robust optimisation for economic dispatch of microgrid with demand response. Issue 18 (10th February 2021)

• Record Type: Journal Article
• Authors: Qiu, Yibin; Li, Qi; Huang, Lanjia; Sun, Cai; Wang, Tianhong; Chen, Weirong
• Is Part Of: IET renewable power generation. Volume 14:Issue 18(2020)
• Page Start: 3608
• Page End: 3615
• Publication Date: 2021-02-10
• Subjects: duality (mathematics) -- fuzzy set theory -- linear programming -- distributed power generation -- power generation dispatch -- gas turbines -- integer programming -- power generation economics -- demand side management -- recurrent neural nets -- power engineering computing -- electric vehicles -- energy storage; demand response -- robust optimisation model -- adaptive uncertainty sets‐based two‐stage robust optimisation method -- electric vehicles -- economic dispatch model -- power system -- microgrid -- microgas turbine coordination -- energy storage -- long short‐term memory network -- modified fuzzy information granulation -- constraint generation algorithm -- column generation algorithm -- strong duality theory -- mixed‐integer linear structure -- simulation test; Renewable energy sources -- Periodicals; 333.79405
• DOI: 10.1049/iet-rpg.2020.0138
• Languages: English
• ISSNs: 1752-1416

Abstract

Abstract : It is an effective way to regard the electric vehicles as the demand response for reducing the negative impact of large‐scale introduction on the power system. Aiming at the microgrid with demand response, the adaptive uncertainty sets‐based two‐stage robust optimisation method is established in this study. The coordination of micro‐gas turbine, energy storage, and demand response etc. are considered in the economic dispatch model. To effectively consider the uncertain variable contained in the microgrid, the concept of adaptive uncertainty sets is proposed in this study. The uncertainty sets are achieved by the long short‐term memory network and modified fuzzy information granulation. To handle the adaptive uncertainty sets‐based robust optimisation model, the column and constraint generation algorithm and strong duality theory are introduced to decompose the model into a master problem and a subproblem with mixed‐integer linear structure. To verify the performance of the proposed adaptive uncertainty sets‐based two‐stage robust optimisation method, measured data from a plateau city of China are introduced in the simulation test. The simulation results demonstrate the effectiveness of the model and solution strategy.