Frontiers | A Learning-Based Bidding Approach for PV-Attached
The proposed bidding model of the PV-attached BESS power plant is compared with the other two models, which consider only PV units and only BESSs as strategic market
Optimal bidding strategy for virtual power plant in multiple markets
In this paper, we develop a distributionally robust (DR) joint chance-constrained microgrid energy management model while the uncertainties stemming from RESs are
Containerized Mobile Renewable Energy Unit Market
A 2023 study revealed that mobile renewable units lowered energy costs by 34% in remote mining sites compared to diesel alternatives. These systems provide uninterrupted power for
A new machine learning based optimal bidding strategy for virtual
In this case, a coordinated bidding strategy of VPP involves solar power production, storage unit and conventional generator is presented for the future electricity market.
Procurement contract design for distributed photovoltaic project
Considering the output risk of DPV projects, we study the optimal procurement contract design for the buyer under asymmetric information. The results provide some
Optimal energy procurement with long-term photovoltaic energy
We developed a two-dimensional auction model in which PV generators bid their cost and capacity. The energy buyer then determines the winners and enters into contracts
Optimal bidding strategy of a renewable-based virtual power plant
TL;DR: This paper develops an optimal bidding strategy for virtual power plants participating in combined electricity and ancillary services markets, incorporating dynamic demand response
PROCUREMENT AUCTION DESIGN FOR
evaluating the bidding price and capacity may result in an insufficient procurement of PV energy. Therefore, we design a two-dimensional auction scheme, in which bidders report their
Optimal Bidding Strategy for PV and BESSs in Joint Energy and
Photovoltaic (PV) and battery energy storage systems (BESSs) are key components in the energy market and crucial contributors to carbon emission reduction targe
Smart Bidding for Virtual Power Plants: Adaptive Energy
This study employs multiple metaheuristic techniques, along with MILP for comparison, to analyze the bidding strategies of individual DER units within a VPP across all