Abstract
Distributed generation (DG) is becoming increasingly important in power system. However the of DG will lead risks in power system due to its failure or uncontrollable power outputs which is usually relied on renewable energy. In this work, we solve the economic dispatch (ED) problem by considering controllable and uncontrollable DG in power system. This paper applies the bare-bones particle swarm optimization (BBPSO) method to solve the ED problem. The performance of BBPSO method is evaluated via IEEE 118-bus test system, and would be compared with other methods in terms of convergence performance and solution quality. The results may verify the effectiveness and promising application of the proposed method in solving the ED problem when we are considering both controllable and uncontrollable DG in power system.
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Jiang, Y., Kang, Q., Wang, L., Wu, Q. (2014). Solving Power Economic Dispatch Problem Subject to DG Uncertainty via Bare-Bones PSO. In: Tan, Y., Shi, Y., Coello, C.A.C. (eds) Advances in Swarm Intelligence. ICSI 2014. Lecture Notes in Computer Science, vol 8795. Springer, Cham. https://doi.org/10.1007/978-3-319-11897-0_19
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DOI: https://doi.org/10.1007/978-3-319-11897-0_19
Publisher Name: Springer, Cham
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