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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Abstract 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.
AbstractList 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.
Author Yonghui Sun
Cheung, Kwok W.
Guoqiang Sun
Haixiang Zang
Yupeng Xiang
Zhinong Wei
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  surname: Yupeng Xiang
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  organization: Coll. of Energy & Electr. Eng., Hohai Univ., Nanjing, China
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  surname: Zhinong Wei
  fullname: Zhinong Wei
  organization: Coll. of Energy & Electr. Eng., Hohai Univ., Nanjing, China
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  surname: Guoqiang Sun
  fullname: Guoqiang Sun
  organization: Coll. of Energy & Electr. Eng., Hohai Univ., Nanjing, China
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  surname: Yonghui Sun
  fullname: Yonghui Sun
  organization: Coll. of Energy & Electr. Eng., Hohai Univ., Nanjing, China
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  surname: Haixiang Zang
  fullname: Haixiang Zang
  organization: Coll. of Energy & Electr. Eng., Hohai Univ., Nanjing, China
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  givenname: Kwok W.
  surname: Cheung
  fullname: Cheung, Kwok W.
  email: kwok.cheung@alstom.com
  organization: ALSTOM Grid Inc., Redmond, WA, USA
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SubjectTerms Coal
Cogeneration
dynamic optimal power flow
fuzzy set
Industries
low carbon electricity
multi-objective
primal-dual interior point method
Title Multi-Objective dynamic optimal power flow using fuzzy sets theory incorporating a carbon capture power plant
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