Optimal Energy and Reserve Market Management in Renewable Microgrid-PEVs Parking Lot Systems: V2G, Demand Response and Sustainability Costs

Onishi, Viviani Caroline; Antunes, Carlos Henggeler; Trov�o, Jo�o Pedro Fernandes

Abstract

Vehicle-to-grid (V2G) technology heralds great promise as a demand-side resource to contribute to more efficient grid management and promote the use of decentralized renewable energy. In this light, we propose a new optimization model for the sustainable energy and reserve market management in renewable-driven microgrid (RMG) plug-in electric vehicles (PEVs) parking lot systems. The RMG is composed of a hybrid photovoltaic/wind/hydrogen energy and storage system, along with local dispatchable generation units and bidirectional grid connection. The RMG is coupled to a smart PEVs parking lot, which is equipped with grid-to-vehicle (G2V) and V2G technologies allowing for not only PEVs aggregation and control but also optimal allocation of energy resources. Time-of-use (TOU) prices are considered in a demand response program (DRP) to enhance both economic and environmental performances by encouraging end-users to shift their energy demands from peak to off-peak time periods. Additionally, the model accounts for an economic incentive to PEVs owners to compensate for battery degradation. The integrated system eco-efficiency is evaluated through the application of the novel life cycle assessment-based Eco-cost indicator. The resulting mixed-integer linear programming model to minimize sustainability costs is implemented in GAMS and solved to global optimality. Different case studies are performed to demonstrate the effectiveness of the proposed modelling approach. Energy analyses results reveal that the optimal G2V-V2G operation, allied to TOU prices in a DRP, and reserve market management can reduce around 42% the energy and environmental costs of the RMG-PEVs parking lot system.

• Journal Article Type: Article
• Acceptance Date: Apr 1, 2020
• Online Publication Date: Apr 13, 2020
• Publication Date: Apr 13, 2020
• Deposit Date: Oct 2, 2020
• Publicly Available Date: Oct 2, 2020
• Journal: Energies
• Publisher: MDPI
• Peer Reviewed: Peer Reviewed
• Volume: 13
• Issue: 8
• Article Number: 1884
• DOI: https://doi.org/10.3390/en13081884
• Keywords: optimization; mixed-integer linear programming (MILP); plug-in electric vehicles (PEVs); smart parking lot (SPL); vehicle-to-grid (V2G); renewable energy; hydrogen storage system (HSS); demand response program (DRP); Eco-costs; eco-efficiency
• Public URL: http://researchrepository.napier.ac.uk/Output/2690313