Valinejad, Jaber, Marzband, Mousa, Ansari, Meisam and Labonne, Antoine (2020) Security Constrained Two-Stage Model for CO2 Emission Reduction. In: 2020 IEEE Texas Power and Energy Conference (TPEC): 6-7 February 2020, College Station, TX, USA. IEEE, Piscataway, NJ, pp. 408-414. ISBN 9781728144375, 9781728144368, 9781728144351
Full text not available from this repository. (Request a copy)Abstract
This paper introduces an innovative method for implementing demand response (DR) to enable household appliance scheduling to minimize CO2 emissions and improve the voltage security in transmission networks. A new demand response (DR) based on the time-varying emission curve is proposed in this paper to reduce CO2 emissions. In addition to emission-based DRs, non-responsive loads are considered. On the other hand, load modeling is believed to be one of the significant parts of the power system studies so that inaccurate load models can lead to dramatically incorrect simulation outputs leading to an unfortunate event such as the 1983 Swedish blackout. DR is therefore applicable to a number of loads, including induction type motors as well as exponential loads. In addition, both active and reactive DRs are considered in this model. This paper introduces a new model called the Security Constraint Two-Stage Framework arising from the complexity of the problem. This model includes a large scale (LS) stage and a small scale (SS) stage set in which the SS stage uses the LS stage results as inputs. The proposed design is being implemented on the IEEE 300 bus power network to investigate the desired objectives.
Item Type: | Book Section |
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Uncontrolled Keywords: | Demand Response, Co2 Emission, Voltage security, Induction Motor, Exponential load, Reactive demand side management |
Subjects: | H800 Chemical, Process and Energy Engineering |
Department: | Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering |
Depositing User: | Elena Carlaw |
Date Deposited: | 08 Apr 2020 08:31 |
Last Modified: | 08 Apr 2020 08:44 |
URI: | http://nrl.northumbria.ac.uk/id/eprint/42740 |
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