PROJECT TITLE :

A Stochastic Microgrid Operation Scheme to Balance Between System Reliability and Greenhouse Gas Emission

ABSTRACT:

Implementing renewable generation becomes one among the most practical approaches to scale back greenhouse gas emissions for the facility sector. A microgrid, with its flexible scale and structure, can be a sensible platform to integrate distributed typical and renewable generation resources. During this paper, a stochastic operation scheduling theme is proposed to cooptimize carbon emissions and generation fuel costs while mitigating the impact of the intermittence of renewable energy. Two completely different stochastic approaches primarily based on sample average approximation and probabilistic constrained stochastic programming are formulated. Corresponding answer methods are developed and implemented in an experimental microgrid to illustrate and compare the effectiveness of different stochastic models for the intended applications.