This paper proposes an optimal risk-constrained energy management strategy for commercial buildings in a commercial campus with islanding capabilities. The goal is to minimize the total operation and maintenance costs

while maximizing comprehensive comfort levels for the occupants. A two-stage risk-constrained

scenario-based stochastic optimization approach is adopted to handle various uncertainties associated with the energy management process

such as power generation of roof-top solar panels

arrival state-of-charges

and arrival/departure time of plug-in electric vehicles

intermittent load demand

and uncertain grid-connection conditions. A conditional-value-at-risk method is introduced to provide a risk-averse energy management strategy. To face the challenge of both reducing the computational burden and maintaining the accuracy of the stochastic programming

an advanced scenario reduction method is leveraged. Extensive simulation results validate the effectiveness of the proposed energy management strategy for minimizing total operating and maintenance costs of commercial buildings with islanding capabilities

while maximizing comprehensive comfort levels of the occupants.