Multi-Objective dynamic optimal power flow using fuzzy sets theory incorporating a carbon capture power plant

In this paper, a multi-objective dynamic optimal power flow (DOPF) model containing a carbon capture power plant (CCPP) is proposed for power systems. Considering the fundamental principle of carbon capture and storage (CCS) technology, carbon dioxide (CO 2 ) emission and active power loss are taken...

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Vydáno v:2015 IEEE Power & Energy Society General Meeting s. 1 - 5
Hlavní autoři: Yupeng Xiang, Zhinong Wei, Guoqiang Sun, Yonghui Sun, Haixiang Zang, Cheung, Kwok W.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.07.2015
Témata:
Coal
Cogeneration
dynamic optimal power flow
fuzzy set
Industries
low carbon electricity
multi-objective
primal-dual interior point method
ISSN:1932-5517
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Shrnutí:In this paper, a multi-objective dynamic optimal power flow (DOPF) model containing a carbon capture power plant (CCPP) is proposed for power systems. Considering the fundamental principle of carbon capture and storage (CCS) technology, carbon dioxide (CO 2 ) emission and active power loss are taken as the objectives. Based on fuzzy set theory, the multi-objective DOPF is reformulated as a single objective nonlinear programming problem by means of the maximum satisfaction degree. Then the DOPF is easy to implement on basis of interior primal-dual interior point method (PDIPM). Finally, it follows from the simulation results that the proposed multi-objective DOPF model is successful and effective.
ISSN:1932-5517
DOI:10.1109/PESGM.2015.7286058