Optimal Power Flow Considering Global Voltage Stability Based on a Hybrid Modern Heuristic Technique
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Tarih
2022
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Integrating large renewable energy to grid complicates power systems' steady-state operation which leads to the high risk of voltage instability due to its intermittent and stochastic properties. The steady-state voltage stability margin (VSM) can be measured by the smallest singular value (SSV) of the load flow Jacobian matrix. Unlike other voltage stability indices such as L -index which shows the probability of voltage collapse for a particular bus, namely, local stability index, SSV represents the global voltage stability and the smaller the value is, the riskier the whole system's stability is. Voltage stability constrained -optimal power flow (VSC-OPF) is an effective tool to stabilize system voltage. Yet VSC-OPF is a highly non-linear and non-convex problem because of AC power flow and implicit SSV constraints. Such challenge is tackled, in this work, by a novel hybrid heuristic method, differential evolutionary particle swarm optimization (DEEPSO) which can easily formulate explicit constraints and objective functions to obtain near-optimal solutions efficiently. Several case studies are conducted on the IEEE 30 bus system, and they demonstrate the effectiveness of the hybrid technique and presents some insights on voltage profiles under various system operating condition. Copyright (C) 2022 The Authors.
Açıklama
11th IFAC Symposium on Control of Power and Energy Systems (CPES) -- JUN 21-23, 2022 -- ELECTR NETWORK
Anahtar Kelimeler
Global voltage stability; Optimal power flow (OPF); Hybrid heuristic technique; Differential evolution (DE); Evolutionary particle swarm optimization (EPSO)
Kaynak
Ifac Papersonline
WoS Q Değeri
N/A
Scopus Q Değeri
Q3
Cilt
55
Sayı
9
