[HTML][HTML] Academic research on renewable electricity auctions: Taking stock and looking forward
P del Río, CP Kiefer - Energy Policy, 2023 - Elsevier
Auctions are currently the dominant and most rapidly expanding form of support for
renewable energy project deployment, capturing the interests of policy-makers and …
renewable energy project deployment, capturing the interests of policy-makers and …
Optimal day-ahead large-scale battery dispatch model for multi-regulation participation considering full timescale uncertainties
M Zhang, W Li, SS Yu, H Wang, Y Ba - Renewable and Sustainable Energy …, 2024 - Elsevier
Grid scale battery integration plays an important role in renewable energy integration and
the formation of smart grid. To mitigate the problems of insufficient frequency response and …
the formation of smart grid. To mitigate the problems of insufficient frequency response and …
[HTML][HTML] Methods of participating power spot market bidding and settlement for renewable energy systems
T Cai, M Dong, K Chen, T Gong - Energy Reports, 2022 - Elsevier
The bidding strategies in electricity markets are non-conventional sources of flexibility. The
market bids are usually in the form of a price and quantity quotation, and they state how …
market bids are usually in the form of a price and quantity quotation, and they state how …
Techno-economic evaluation of a hybrid photovoltaic system with hot/cold water storage for poly-generation in a residential building
There is a growing effort towards the application of solar technologies to meet electrical and
thermal demand. However, substantial energy is used in buildings around the world for …
thermal demand. However, substantial energy is used in buildings around the world for …
Event-driven forecasting of wholesale electricity price and frequency regulation price using machine learning algorithms
The wholesale electricity market is composed of real-time market and procurement. Since
the fully liberalization of the energy market in Singapore in 2018, competition among the …
the fully liberalization of the energy market in Singapore in 2018, competition among the …
Optimal self-scheduling for a multi-energy virtual power plant providing energy and reserve services under a holistic market framework
This paper addresses a self-scheduling model for a multi-energy virtual power plant
(MEVPP) to optimize its day-ahead energy and reserve schedules considering the …
(MEVPP) to optimize its day-ahead energy and reserve schedules considering the …
Coordinated optimal bidding strategies methods of aggregated microgrids: A game theory-based demand side management under an electricity market environment
Due to substantial demand of expansion and application of distributed generations and
energy storage systems (ESSs), the operation of microgrids (MGs) has become more flexible …
energy storage systems (ESSs), the operation of microgrids (MGs) has become more flexible …
Day-ahead optimization dispatch strategy for large-scale battery energy storage considering multiple regulation and prediction failures
A large-scale battery energy storage station (LS-BESS) directly dispatched by grid operators
has operational advantages of power-type and energy-type storages. It can help address the …
has operational advantages of power-type and energy-type storages. It can help address the …
Adaptive robust scheduling of a hydro/photovoltaic/pumped-storage hybrid system in day-ahead electricity and hydrogen markets
A hybrid energy generation system (HEGS) exploits the synergies of various energy to
improve the utilization rate of renewable energy while enhancing economic efficiency. In …
improve the utilization rate of renewable energy while enhancing economic efficiency. In …
Strategic bidding of an energy storage agent in a joint energy and reserve market under stochastic generation
This work presents a bi-level optimization model for a price-maker energy storage agent, to
determine the optimal hourly offering/bidding strategies in pool-based markets, under wind …
determine the optimal hourly offering/bidding strategies in pool-based markets, under wind …