Abstract
In this paper, we address the long-term generation and transmission expansion planning for power systems of regions with very high solar irradiation. We target the power systems that currently rely mainly on thermal generators and that aim to adopt high shares of renewable sources. We propose a stochastic programming model with expansion alternatives including transmission lines, solar power plants (photovoltaic and concentrated solar), wind farms, energy storage, and flexible combined cycle gas turbines. The model represents the longterm uncertainty to characterize the demand growth, and the short-term uncertainty to characterize daily solar, wind, and demand patterns. We use the Saudi Arabian power system to illustrate the functioning of the proposed model for several cases with different renewable integration targets. The results show that a strong dependence on solar power for high shares of renewable sources requires high generation capacity and storage to meet the night demand.
Highlights
IN this paper, we propose a generation and transmission expansion model motivated by an energy transition in re‐ gions with very high solar irradiation
We propose a stochastic programming model to address the generation and transmission expansion planning that in‐ volves the selection of alternative generation plants, energy storage, and transmission lines to install
We propose a stochastic programming model that includes relevant features for a region with very high so‐ lar irradiation that aims at the transition to a power system based on solar and wind power
Summary
Manuscript received: October 20, 2019; accepted: June 22, 2020. Date of online publication: September 15, 2020. C. Parameters αo Weight of day o βδ Probability of scenario δ ηb Energy efficiency of storage unit b σj
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