A Load Flow Analysis and Mitigation Scheme for Transient State Stability Studies of 132kV Electricity Transmission Network using Particle Swarm Optimization
Resumen
Transient stability is a recurrent issue faced by most power system networks as the need to maintain a voltage profile at precise level remains a core priority. In the Nigerian 132kV electricity transmission network, the transient performance of the network may be impacted due to issues such as line faults, excessive-sudden changes in power system loads and poor or inappropriate breaker settings. By means of load flow simulations and an optimization mitigation strategy, this research study employs the use of a Swarm Intelligent Optimization technique called Particle Swarm Optimization (PSO) for maintaining the stability of power system due to sudden changes in loading conditions for the Aba-Port Harcourt 132kV electricity transmission network. Comparisons were made with an emergent Evolutionary Algorithm Swarm Intelligence technique called Biogeography-Based Optimization and a very recent optimization technique called metaphorless Rao-type Optimizer, using a standard IEEE power system network bus.
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Referencias
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