Distributionally Robust Chance-Constrained Energy Management of Multi-Building Residential Apartment Complexes Using Wasserstein Metric
Hamed Haggi, James M. Fenton

TL;DR
This paper proposes a distributionally robust energy management framework for multi-building apartment complexes using Wasserstein metric, integrating PV, batteries, and EV fast chargers to enhance cost-effectiveness, sustainability, and resilience.
Contribution
It introduces a novel Wasserstein-metric-based chance-constrained optimization approach for robust energy management in complex microgrids.
Findings
PV and battery systems reduce operational costs and emissions.
EV integration offers significant cost savings and environmental benefits.
The proposed method ensures reliable operation under PV generation uncertainty.
Abstract
The decreasing costs of photovoltaic (PV) systems and battery storage, alongside the rapid rise of electric vehicles (EVs), present a unique opportunity to revolutionize energy use in apartment complexes. Generating electricity via PV and batteries is currently cheaper and greener than relying on grid power, which is often expensive. Yet, residents in multi-building apartment complexes typically lack access to fast EV charging infrastructure. To this end, this paper investigates the feasibility and energy management of deploying commercial PV-powered battery storage and EV fast chargers within apartment complexes in Orlando, Florida, operated by complex owners. By modeling the complex as a grid-connected microgrid, it aims to meet residents' energy needs, provide backup power during emergencies, and introduce a profitable business model for property owners. To address PV power…
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Taxonomy
TopicsProbabilistic and Robust Engineering Design
