Risk-Constrained Stochastic Scheduling of a Grid-Connected Hybrid Microgrid with VariableWind Power Generation

AuthorsMostafa Vahedipour-Dahraie,,
JournalElectronics
Page number867-877
Serial number6
Volume number4
Paper TypeFull Paper
Published At2020
Journal GradeISI
Journal TypeTypographic
Journal CountrySwitzerland
Journal IndexISI،JCR،Scopus

Abstract

This paper presents a risk-constrained scheduling optimization model for a grid-connected hybrid microgrid including demand response (DR), electric vehicles (EVs), variable wind power generation and dispatchable generation units. The proposed model determines optimal scheduling of dispatchable units, interactions with the main grid as well as adjustable responsive loads and EVs demand to maximize the expected microgrid operator’s profit under different scenarios. The uncertainties of day-ahead (DA) market prices, wind power production and demands of customers and EVs are considered in this study. To address these uncertainties, conditional value-at-risk (CVaR) as a risk measurement tool is added to the optimization model to evaluate the risk of profit loss and to indicate decision attitudes in different conditions. The proposed method is finally applied to a typical hybrid microgrid with flexible demand-side resources and its applicability and effectives are verified over different working conditions with uncertainties.

Paper URL

tags: demand response (DR); conditional value at risk (CVaR); hybrid microgrid; electric vehicle (EV); wind power generation