Journal
ELECTRIC POWER SYSTEMS RESEARCH
Volume 95, Issue -, Pages 99-111Publisher
ELSEVIER SCIENCE SA
DOI: 10.1016/j.epsr.2012.08.015
Keywords
Energy efficiency; Electric power systems; Fractile approach; Planning; Robust programming; Uncertainty
Categories
Funding
- MOE Key Project Program [311013]
- Program for Innovative Research Team in University [IRT1127]
- Major Project Program of the Natural Sciences Foundation [51190095]
- Program for New Century Excellent Talents in University [NCET-10-0376]
Ask authors/readers for more resources
In this study, a fractile-based robust stochastic programming (FRSP) method is developed for planning electric power systems under uncertainty. FRSP can tackle uncertainties expressed as possibilistic and probabilistic distributions in constraints and objective function. The developed FRSP is applied to long-term electric power systems planning, where two cases are examined based on different greenhouse gas (GHG) and air-pollutant management policies. During power-generation processes, various losses may affect energy consumption rate, leading to uncertainties in energy conversion efficiency. From a long-term planning point of view, energy demands from multiple end-users may vary due to population increase and economic development. A variety of scenarios associated with different levels of energy conversion efficiency and energy demand are analyzed. Decision variables with p-necessity are useful for managers to sustain and/or modify the decision schemes for energy activities through incorporation of their implicit knowledge. The results obtained can not only be used for generating desired energy resource/service distribution, but also help decision makers identify desired policies for GHG and air-pollutant mitigation with a cost-effective manner. (C) 2012 Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available