Prudent Electricity Procurement by a Load Serving Entity

Motivated by the projected solar and wind capacity additions around the world, we model the energy procurement decision of a load serving entity (LSE) faced with alternatives of solar power purchase agreements (PPAs), wind PPAs, non-renewable energy forward contracts, and spot energy purchases in a wholesale electricity market with uncertain prices. Using a pseudo-data sample of over one million observations, we estimate a translog cost function to find that the LSE’s own-price elasticity estimates range from −1.87 for nighttime spot MWh demands to −13.1 for forward MWh demands. MWh demands are influenced by solar and wind capacity factors, daytime and nighttime retail sales, and spot energy price forecasts. The LSE’s optimal procurement of solar capacity is roughly twice the wind capacity, corroborating the ratios of projected solar and wind capacity additions in regions around the world. If the LSE’s existing energy mix is nearly all renewable, it becomes carbon-free when solar and wind power purchase agreements have declining energy prices or when forward energy price and spot energy price forecasts increase over time. These results imply that piecemeal policy measures can have conflicting outcomes, calling for integrated resource planning under wholesale market competition and price uncertainty.

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Publication Details

Journal
Energies
Published
2025-02-05
DOI
https://doi.org/10.3390/en18030726
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Prudent Electricity Procurement by a Load Serving Entity

Han Qi, Raymond Li, Jay Zarnikau, Kang Cao et al.
Energies
Smart Grid Energy Management
article

Prudent Electricity Procurement by a Load Serving Entity

Han Qi, Raymond Li, Jay Zarnikau, Kang Cao, C.K. Woo
article en

Abstract

Motivated by the projected solar and wind capacity additions around the world, we model the energy procurement decision of a load serving entity (LSE) faced with alternatives of solar power purchase agreements (PPAs), wind PPAs, non-renewable energy forward contracts, and spot energy purchases in a wholesale electricity market with uncertain prices. Using a pseudo-data sample of over one million observations, we estimate a translog cost function to find that the LSE’s own-price elasticity estimates range from −1.87 for nighttime spot MWh demands to −13.1 for forward MWh demands. MWh demands are influenced by solar and wind capacity factors, daytime and nighttime retail sales, and spot energy price forecasts. The LSE’s optimal procurement of solar capacity is roughly twice the wind capacity, corroborating the ratios of projected solar and wind capacity additions in regions around the world. If the LSE’s existing energy mix is nearly all renewable, it becomes carbon-free when solar and wind power purchase agreements have declining energy prices or when forward energy price and spot energy price forecasts increase over time. These results imply that piecemeal policy measures can have conflicting outcomes, calling for integrated resource planning under wholesale market competition and price uncertainty.

EnergiesVol. 18(3)
Hong Kong Baptist University (HK), Shenzhen University (CN), University of Canberra (AU), The University of Texas at Austin (US)
Ford Foundation, National Natural Science Foundation of China
Openalex Percentile: Top 98%
Smart Grid Energy Management
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Prudent Electricity Procurement by a Load Serving Entity — Han Qi, Raymond Li, et al. · Energies (2025) | TGRS Research Map | TGRS