How can probabilistic solar power forecasts be used to lower costs and improve reliability in power spot markets? a review and application to flexiramp requirements

BF Hobbs, V Krishnan, J Zhang… - IEEE Open Access …, 2022 - ieeexplore.ieee.org
Net load uncertainty in electricity spot markets is rapidly growing. There are five general
approaches by which system operators and market participants can use probabilistic …

Bidding strategy design for electric vehicle aggregators in the day-ahead electricity market considering price volatility: A risk-averse approach

Y Zheng, Y Wang, Q Yang - Energy, 2023 - Elsevier
The uncertainties induced by electric vehicle (EV) demand and market operations pose
huge challenges to the optimal bidding decision of the EV aggregator (EVA) in the day …

Interaction between balancing market design and market behaviour of wind power producers in China

Z Wu, M Zhou, G Li, T Zhao, Y Zhang, X Liu - Renewable and Sustainable …, 2020 - Elsevier
To fulfil a commitment to reduce greenhouse gas emissions, promoting renewable energy
accommodation is a major goal in establishing a spot market in light of China's 2015 …

Energy storage reduces costs and emissions even without large penetration of renewable energy: The case of China Southern Power Grid

M Li, R Shan, E Virguez, D Patiño-Echeverri, S Gao… - Energy Policy, 2022 - Elsevier
Variable renewable energy (VRE) and energy storage systems (ESS) are essential pillars of
any strategy to decarbonize power systems. However, there are still questions about the …

Market failure or politics? Understanding the motives behind regulatory actions to address surging electricity prices

SM Sirin, E Camadan, IE Erten, AH Zhang - Energy Policy, 2023 - Elsevier
This paper aims to explore the underlying motivations that drive regulatory measures to
address surging electricity prices. We discuss this question with a systematic review of the …

Combined effects of carbon pricing and power market reform on CO2 emissions reduction in China's electricity sector

M Li, H Gao, A Abdulla, R Shan, S Gao - Energy, 2022 - Elsevier
China is pursuing aggressive action to reduce greenhouse gas emissions from its coal-
dominated electric power system. Two key strategies are power market reform and carbon …

Assessing the carbon emission reduction effect of flexibility option for integrating variable renewable energy

X Deng, T Lv, X Meng, C Li, X Hou, J Xu, Y Wang… - Energy Economics, 2024 - Elsevier
Integrating a high-penetration level of variable renewable energy into power systems
requires the pro-rata deployment of flexibility technology in the recent trends of low-carbon …

Dependence structure learning and joint probabilistic forecasting of stochastic power grid variables

O Stover, P Nath, P Karve, S Mahadevan, H Baroud - Applied Energy, 2024 - Elsevier
Stochastic optimization is a promising approach to support a reliable and cost-efficient
transition to a renewable generation-dominated power grid. However, utilization of this …

Utility-scale photovoltaics and storage: Decarbonizing and reducing greenhouse gases abatement costs

E Virguez, X Wang, D Patiño-Echeverri - Applied Energy, 2021 - Elsevier
This study explores the performance of the Duke Energy Carolinas/Progress (DEC/DEP)
electric power system under one hundred forty-one configurations combining different …

Ramping ancillary service for cost-based electricity markets with high penetration of variable renewable energy

D Godoy-González, E Gil, G Gutiérrez-Alcaraz - Energy Economics, 2020 - Elsevier
Abstract System operators and electricity market stakeholders are facing new challenges
related to increasing variability in both generation and demand. Rising generation levels of …