2023
DOI: 10.1016/j.ijepes.2023.109145
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Probabilistic wind power expansion planning of bundled wind-thermal generation system with retrofitted coal-fired plants using load transfer optimization

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Cited by 7 publications
(1 citation statement)
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“…A collaborative stochastic expansion planning model of a cyber-physical system with resilience constraints is proposed by Zhang et al (2023), and the model can reduce the coupling risk and enhance the resilience under extreme scenarios. An appropriate probabilistic wind power capacity expansion planning method for a bundled wind-thermal generation system with retrofitted coal-fired units is reformulated as a mixed-integer second-order cone programming problem by Lei et al (2023). In terms of cluster planning, the existing research mainly considers deterministic scenarios as the research background (Bi et al, 2019), ignoring the impact of source-load uncertainty (Cai et al, 2022).…”
mentioning
confidence: 99%
“…A collaborative stochastic expansion planning model of a cyber-physical system with resilience constraints is proposed by Zhang et al (2023), and the model can reduce the coupling risk and enhance the resilience under extreme scenarios. An appropriate probabilistic wind power capacity expansion planning method for a bundled wind-thermal generation system with retrofitted coal-fired units is reformulated as a mixed-integer second-order cone programming problem by Lei et al (2023). In terms of cluster planning, the existing research mainly considers deterministic scenarios as the research background (Bi et al, 2019), ignoring the impact of source-load uncertainty (Cai et al, 2022).…”
mentioning
confidence: 99%