A methodology to design a stochastic cost efficient der scheduling considering environmental impact

Chenrui Jin, Mohammad Nikkhah Mojdehi, Prasanta Ghosh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Electric power generation and transportation sectors are considered as main sources of gas emission today. Renewable energy and Electric Vehicles (EV) show potential as promising solutions for emission reduction and energy cost saving. However, the integration of renewable energy generation into the electric grid can be difficult, because of the source intermittency and inconsistency with energy usage; uncontrolled EV charging can also impose more burdens on power systems. Those situations can be improved through coordinated charging of EVs and optimized operation of distributed generators (DG) that not only mitigates fluctuations in generation and supply, but also reduces energy cost and the emission of pollutants (CO2, SO2, and NOx). Emerging smart grid also brings new options for Distribution System Operator (DSO) toward efficient and sustainable operation of the network. One of these options is the use of Distributed Energy Resources (DER) including DG, EV, and Demand Response (DR). Operating DER has several advantages for DSO such as having DER close to load centers which reduces total network power loss. Since DSO has several energy sources to satisfy the electric load demand in the network, it is necessary to deploy optimal scheduling for efficient usage of available energy resources. In this paper we discuss a stochastic scheduling in the distribution network considering uncertainty in renewable energy generation. The proposed model can be used to analyse the effect of using DGs and EVs on emission and operation costs of the network. Results clearly shows that cost saving could be achieved with proper planning and coordination of various DERs.

Original languageEnglish (US)
Title of host publication2012 IEEE International Conference on Smart Grid Engineering, SGE 2012
DOIs
StatePublished - Dec 1 2012
Event2012 IEEE International Conference on Smart Grid Engineering, SGE 2012 - Oshawa, ON, Canada
Duration: Aug 27 2012Aug 29 2012

Publication series

Name2012 IEEE International Conference on Smart Grid Engineering, SGE 2012

Other

Other2012 IEEE International Conference on Smart Grid Engineering, SGE 2012
CountryCanada
CityOshawa, ON
Period8/27/128/29/12

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Keywords

  • distributed generation
  • electric vehicle
  • gas emission
  • renewable energy
  • smart grid
  • stochastic optimization

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Jin, C., Mojdehi, M. N., & Ghosh, P. (2012). A methodology to design a stochastic cost efficient der scheduling considering environmental impact. In 2012 IEEE International Conference on Smart Grid Engineering, SGE 2012 [6463975] (2012 IEEE International Conference on Smart Grid Engineering, SGE 2012). https://doi.org/10.1109/SGE.2012.6463975