Abstract
According to South Africa’s national energy policy, network penetration of variable renewable energy (VRE) generation will significantly increase by 2030. Increased associated network uncertainty creates the need for an additional flexible generation. As the planned VRE is mostly non-synchronous PV and wind generators, additional ancillary services will also be required. Pumped Storage (PS), which is a well-established flexible generation technology with fast ramping capability and the ability to contribute various ancillary services, could help integrate increased VRE penetration on the South African network. However, in the latest revision of South Africa’s energy policy, PS was left out in favor of gas turbines and batteries as favored flexible generation options. This paper explores the two-part hypothesis that PS was disadvantaged in the formulation of a national energy mix due to: (a) ancillary services provided by PS not being explicitly monetized in energy modeling software; (b) the uncertainties associated with project costing assumptions. The value of PS in terms of providing ancillary services is firstly explored using the international literature. Secondly, the impact of input-cost uncertainties is demonstrated by comparing pumped storage, gas turbines, and batteries using levelized cost of energy (LCOE) curves and the Tools for Energy Model Optimization and Analysis (Temoa), North Carolina State University, USA, optimization software. Based on LCOE calculations using revised cost assumptions, it is found that PS may indeed be preferential to gas turbines or batteries, particularly at large load factors. The authors hope that this research contributes to the scientific understanding of the role that PS can play in supporting the integration of generation from renewable sources for effective grid operations.
Highlights
Published: 26 October 2021Variable renewable energy (VRE), notably wind and solar photovoltaic (PV), is rapidly proliferating onto electricity networks around the world
This paper explores the two-part hypothesis that pumped storage (PS) was disadvantaged in the formulation of a national energy mix due to: (a) ancillary services provided by PS not being explicitly monetized in energy modeling software; (b) the uncertainties associated with project costing assumptions
I.e., the pumping cost, was based on a coal cost estimated at R200/MWh, as the energy charge component of the total levelized cost; The draft integrated resource plan (IRP) 2019 input values for Open cycle gas turbine (OCGT) and lithium-ion batteries were taken from the Electric Power Research Institute (EPRI) report 2018 [35], while the pumped storage costs were based on the Ingula PS scheme
Summary
Variable renewable energy (VRE), notably wind and solar photovoltaic (PV), is rapidly proliferating onto electricity networks around the world. The study hypothesis is informed by a literature review, which highlights that methodologies and model input values for representing storage during capacity expansion modeling are not yet well defined, especially in the interaction between variable renewable energy generators and storage technologies Issues such as chronology, capacity value, and cost representation have yet to be addressed adequately in most large-scale modeling frameworks used for this purpose. Within this context, the South African case is considered, analyzing the constraint inherent in the fact that current modeling software used to inform the IRP is not capable of accounting for the value of ancillary services separately.
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