An evolutionary algorithm for evaluation of emission compliance options in view of the Clean Air Act Amendments
Abstract
An integrated framework for modeling and evaluating the economic impacts of environmental dispatching and fuel switching is presented in this paper. It explores the potential for operational changes in utility commitment and dispatching to achieve least cost operation while complying to rigorous environmental standards. The work reported here employs a heuristics-guided evolutionary algorithm to solve this multiobjective constrained optimization problem, and provides the decision maker a whole range of alternatives along the Pareto-optimal frontier. Heuristics are used to ensure the feasibility of each solution, and to reduce the computation time. The capabilities of this approach are illustrated via tests on a 19-unit system. Various emission compliance strategies are considered to reveal the economic trade-offs that come into play.
- Authors:
-
- National Univ. of Singapore (Singapore). Dept. of Electrical Engineering
- Univ. degli Studi di Milano (Italy). Dept. di Scienze dell`Informazione
- Publication Date:
- OSTI Identifier:
- 484918
- Report Number(s):
- CONF-960111-
Journal ID: ITPSEG; ISSN 0885-8950; TRN: IM9727%%86
- Resource Type:
- Journal Article
- Journal Name:
- IEEE Transactions on Power Systems
- Additional Journal Information:
- Journal Volume: 12; Journal Issue: 1; Conference: IEEE Power Engineering Society (PES) Winter meeting, Baltimore, MD (United States), 21-25 Jan 1996; Other Information: PBD: Feb 1997
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 20 FOSSIL-FUELED POWER PLANTS; 29 ENERGY PLANNING AND POLICY; FOSSIL-FUEL POWER PLANTS; OPERATION; AIR POLLUTION CONTROL; ECONOMICS; FUEL SUBSTITUTION
Citation Formats
Srinivasan, D, and Tettamanzi, A G.B. An evolutionary algorithm for evaluation of emission compliance options in view of the Clean Air Act Amendments. United States: N. p., 1997.
Web. doi:10.1109/59.574956.
Srinivasan, D, & Tettamanzi, A G.B. An evolutionary algorithm for evaluation of emission compliance options in view of the Clean Air Act Amendments. United States. https://doi.org/10.1109/59.574956
Srinivasan, D, and Tettamanzi, A G.B. 1997.
"An evolutionary algorithm for evaluation of emission compliance options in view of the Clean Air Act Amendments". United States. https://doi.org/10.1109/59.574956.
@article{osti_484918,
title = {An evolutionary algorithm for evaluation of emission compliance options in view of the Clean Air Act Amendments},
author = {Srinivasan, D and Tettamanzi, A G.B.},
abstractNote = {An integrated framework for modeling and evaluating the economic impacts of environmental dispatching and fuel switching is presented in this paper. It explores the potential for operational changes in utility commitment and dispatching to achieve least cost operation while complying to rigorous environmental standards. The work reported here employs a heuristics-guided evolutionary algorithm to solve this multiobjective constrained optimization problem, and provides the decision maker a whole range of alternatives along the Pareto-optimal frontier. Heuristics are used to ensure the feasibility of each solution, and to reduce the computation time. The capabilities of this approach are illustrated via tests on a 19-unit system. Various emission compliance strategies are considered to reveal the economic trade-offs that come into play.},
doi = {10.1109/59.574956},
url = {https://www.osti.gov/biblio/484918},
journal = {IEEE Transactions on Power Systems},
number = 1,
volume = 12,
place = {United States},
year = {Sat Feb 01 00:00:00 EST 1997},
month = {Sat Feb 01 00:00:00 EST 1997}
}