| Summary: | 碩士 === 國立中山大學 === 電機工程學系研究所 === 96 === An Equivalent Current Injection（ECI）based Preventive Security-
Constrained Optimal Power Flow（PSCOPF）is presented in this paper
and a particle swarm optimization (PSO) algorithm is developed for
solving non-convex Optimal Power Flow (OPF) problems. This thesis
integrated Simulated Annealing Particle Swarm Optimization（SAPSO）
and Multiple Particle Swarm Optimization（MPSO）, enabling a fast
algorithm to find the global optimum. Optimal power flow is
solved based on Equivalent- Current Injection（ECIOPF）algorithm. This
OPF deals with both continuous and discrete control variables and is a
mixed-integer optimal power flow（MIOPF）. The continuous control
variables modeled are the active power output and generator-bus voltage
magnitudes, while the discrete ones are the shunt capacitor devices. The
feasibility of the proposed method is exhibited for a standard IEEE 30 bus
system, and it is compared with other stochastic methods for the solution
quality. Security Analysis is also conducted. Ranking method is used to
highlight the most severe event caused by a specific fault. A preventive
algorithm will make use of the contingency information, and keep the
system secure to avoid violations when fault occurs. Generators will be
used to adjust the line flow to the point that the trip of the most severe line
would not cause a major problem.
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