1. Decentralised hybrid robust/stochastic expansion planning in coordinated transmission and active distribution networks for hosting large‐scale wind energy
- Author
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Jamshid Aghaei, Hamid Reza Massrur, Rasul Hemmati, and Ahmad Nikoobakht
- Subjects
Mathematical optimization ,Wind power ,Distribution networks ,Stochastic process ,business.industry ,Computer science ,020209 energy ,020208 electrical & electronic engineering ,Electricity system ,Energy Engineering and Power Technology ,02 engineering and technology ,Transmission (telecommunications) ,Control and Systems Engineering ,0202 electrical engineering, electronic engineering, information engineering ,Key (cryptography) ,Renewable generation ,Electrical and Electronic Engineering ,business ,Scale (map) - Abstract
Today, coordinated expansion planning is one of the key challenges for electricity systems including active distribution networks (ADNs) and transmission networks (TNs) hosting distributed renewable generation as well as large‐scale wind energy generation. Accordingly, this study presents a decentralised hybrid robust and stochastic (HR&S) expansion planning optimisation method to determine a robust generation and transmission planning for a TN and stochastic expansion planning for ADNs. The proposed HR&S planning model is formulated with the objective of achieving an effective expansion of both TN&ADN while minimises the investment and operation costs of TN&ADN planning considering wind uncertainty in TNs and load uncertainty in ADNs. Finally, the IEEE 30‐bus test system has been analysed to show the effectiveness of the proposed TN&ADN expansion planning framework and decentralised solution strategy. © 2020 The Authors. Free Access.
- Published
- 2020
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