Sahoo, N.C.. Solving modified DE algorithm based expected security cost problem incorporating solar and flexible resources. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2022.
Solving modified DE algorithm based expected security cost problem incorporating solar and flexible resources
Abstract:
Significant amount of solar electricity generation
enhances the attributes in terms global environmental, national
energy security concerns and rising fuel prices. Thus, the
integration of solar based power generations, combined with the
dwindling fossil fuel generation and rapidly changing energy
demand, creates major operational and security challenges for
modern power systems. This paper proposes an "Expected
Security Cost-Dynamic Optimal Power Flow (ESCDOPF)"
model incorporating solar and flexible resources (FRs). The
proposed model is formulated and implemented with a
"Modified Differential Evolution Algorithm (MDEA)" to obtain
the global solution for the total expected system operating cost
which includes contingency costs by satisfying the model
constraints over a day.Beta probability distribution function is
considered for optimal scheduling of solar power generation.
Similarly, FRs such as demand response, battery energy storage
systems, and HVDC systems are also modeled to maintain the
supply-demand portfolio at every moment. The robustness of
the proposed MDEA is verified through different test cases
performed on a modified IEEE-30 bus system.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2022
Modified:
2024-05-24
Issued:
2024-05-24
บทความ/Article
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BibliograpyCitation :
In IEEE Computer Society. 2022 Fifth International Conference on Computational Intelligence and Communication Technologies (CCICT 2022) (pp.533-538). Los Alamitos, CA : IEEE Computer Society