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2021 | OriginalPaper | Buchkapitel

11. Risk-Constrained Generation and Network Expansion Planning of Multi-carrier Energy Systems

verfasst von : Mehrdad Setayesh Nazar, Alireza Heidari

Erschienen in: Planning and Operation of Multi-Carrier Energy Networks

Verlag: Springer International Publishing

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Abstract

This chapter introduces a framework for expansion planning of multi-carrier energy system that utilizes energy resources to supply the electrical and heating loads. The multi-carrier energy system transacts electricity with the downward active microgrids and considers the impacts of their contribution on its expansion planning exercise.
The proposed risk-averse algorithm minimizes the total investment and operation costs, energy purchased from active microgrids, energy-not-supplied costs, and locational marginal prices of system buses. The hybrid elitist non-dominated sorting genetic algorithm, adaptive genetic algorithm, and non-dominated sorting genetic algorithm are used to optimize the formulated problem and their results are compared.
An industrial district multiple-energy carrier system is utilized to assess the introduced method. Different scenarios of expansion planning are carried out and the optimization algorithm successfully minimized the total investment and operational costs and locational marginal prices of system.

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Metadaten
Titel
Risk-Constrained Generation and Network Expansion Planning of Multi-carrier Energy Systems
verfasst von
Mehrdad Setayesh Nazar
Alireza Heidari
Copyright-Jahr
2021
DOI
https://doi.org/10.1007/978-3-030-60086-0_11