Open AccessRobust optimisation approach for bidding strategy of renewable generation‐based microgrid under demand side management
Author(s) -
Mehdizadeh Ali,
Taghizadegan Navid
Publication year - 2017
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
ISSN - 1752-1424
DOI - 10.1049/iet-rpg.2017.0076
Subject(s) - microgrid , bidding , renewable energy , mathematical optimization , grid , computer science , wind power , electricity market , upstream (networking) , dispatchable generation , photovoltaic system , demand response , distributed generation , electricity , economics , mathematics , electrical engineering , engineering , microeconomics , telecommunications , geometry
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.