Parallel Domain Decomposition Based Power System Simulation
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With the continuous developing of power systems, simulation of modern systems requires more computational resources and more simulation time. Conventional techniques are not efficient due to the large size of equation set and inconvenient modelling methods. Although computing power has increased dramatically, we still need new algorithms to improve the simulation speed.To address the above problems, this thesis proposes an efficient parallel calculation algorithm based on domain decomposition method. The new approach reduces the computational cost by calculating in parallel and splitting the equation set. The proposed approach partitions the system into several sub-systems to be solved in parallel on different processors and at the same time preserves the details of the original system. To reduce the cost of communication overhead and computation load, latency characteristic is utilized. Traditional simulators as well as the hybrid simulator are described and compared with this algorithm.
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Copyright © 2018 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.
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- 2018
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zhao-paralleldomaindecompositionbasedpowersystem.pdf | 2023-05-05 | Public | Download |