NDLI: Generation Dispatch Strategy under Environment Protection Consideration

Content Provider	IEEE Xplore Digital Library
Author	Hong-Chan Chang Cheng-Chien Kuo Jheng-Lun Jiang Shao-An Lu
Copyright Year	2011
Abstract	An optimal generation dispatch strategy method while considering CO2 emissions is presented in this paper. Firstly, different CO2 equivalent models for fuel generated thermal units are derived. Secondly, the Cost-CO2 emission Tradeoff Curve (CCTC) and Incremental Cost for CO2 Reduction (ICCR) curve, are introduced to assess the impact of CO2 emissions on power generation costs. Incorporating these two indexes, the single-objective and bi-objective programming methods are employed to establish a generation dispatch strategy. The salient feature of the strategy allows the decision-maker to consider both environmental and economic factors at the same time. Since generation dispatch belongs to large-scale non-linear planning problems, this study employs a particle swarm approach with novel coding scheme for generation dispatch solution, which can quickly find an optimal solution with higher probability. Finally, taking the 27-unit system from Taiwan power company as an example, simulation result of the study reveals that the proposed dispatch strategy can effectively take into consideration CO2 reduction impact on cost during off-peak, half-peak and peak load conditions to achieve environmental protection and economic purpose.
Starting Page	242
Ending Page	247
File Size	752815
Page Count	6
File Format	PDF
ISBN	9781457710063
DOI	10.1109/GreenCom.2011.50
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-04
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Bi-objective Approach Heating CO2 Emission Programming Environment Protection Generators Global warming Fuels Mathematical model Power generation Particle Swarm Optimization Generation Dispatch
Content Type	Text
Resource Type	Article

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