Design of Pareto optimal CO2 cap-and-trade policies for deregulated electricity networks

Felipe Feijoo and Tapas K. Das

Applied Energy, 2014, vol. 119, issue C, 383 pages

Abstract: Among the CO2 emission reduction programs, cap-and-trade (C&T) is one of the most used policies. Economic studies have shown that C&T policies for electricity networks, while reducing emissions, will likely increase price and decrease consumption of electricity. This paper presents a two layer mathematical–statistical model to develop Pareto optimal designs for CO2 cap-and-trade policies. The bottom layer finds, for a given C&T policy, equilibrium bidding strategies of the competing generators while maximizing social welfare via a DC optimal power flow (DC-OPF) model. We refer to this layer as policy evaluation. The top layer (called policy optimization) involves design of Pareto optimal C&T policies over a planning horizon. The performance measures that are considered for the purpose of design are social welfare and the corresponding system marginal price (MP), CO2 emissions, and electricity consumption level.

Keywords: Electricity networks; Cap-and-trade; Game theory; MPEC/EPEC (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (24)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261914000385
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:119:y:2014:i:c:p:371-383

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic

DOI: 10.1016/j.apenergy.2014.01.019

Access Statistics for this article

Applied Energy is currently edited by J. Yan

More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().