Robust optimisation approach for bidding strategy of renewable generation‐based microgrid under demand side management. Issue 11 (27th July 2017)

• Record Type: Journal Article
• Authors: Mehdizadeh, Ali; Taghizadegan, Navid
• Is Part Of: IET renewable power generation. Volume 11:Issue 11(2017)
• Page Start: 1446
• Page End: 1455
• Publication Date: 2017-07-27
• Subjects: distributed power generation -- integer programming -- linear programming -- demand side management -- power markets; robust optimisation approach -- renewable generation‐based microgrid -- demand side management -- upstream grid -- bidding curve -- market operator -- ROA -- MG operator -- time‐of‐use rate -- demand response program -- DRP -- procurement energy cost reduction -- uncertainty modelling -- robust mixed‐integer linear programming problems -- bidding strategy curves; Renewable energy sources -- Periodicals; 333.79405
• DOI: 10.1049/iet-rpg.2017.0076
• Languages: English
• ISSNs: 1752-1416

Abstract

Abstract : In the restructured electricity market, operator of grid‐connected microgrid (MG) tries to supply local load at the lowest cost from alternative energy sources including upstream grid, gas‐turbines as local dispatchable units and renewable energy sources (photovoltaic systems and wind‐turbines) as well as charge/discharge of energy storage system. In order to purchase power from upstream grid, the bidding curve of MG should be prepared to bid to the market operator. Therefore, this study proposes a robust optimisation approach (ROA) for obtaining optimal bidding strategy of MG. Also, MG operator uses time‐of‐use rate of demand response program (DRP) to reduce procurement energy cost. For this purpose, ROA is used for uncertainty modelling of upstream grid prices in which the minimum and maximum limits of prices are considered for the uncertainty modelling. The lower and upper bounds of price are consecutively subdivided into sequentially nested subintervals which allow formulating robust mixed‐integer linear programming problems. The bidding strategy curves of MG for each time considering DRP are obtained from sufficient data by solving these problems. To show the capability of proposed approach, two cases are studied.