  Owing to the potential higher energy supply efficiency and operation
flexibility, integrated energy system (IES), which usually includes electric
power, gas and heating/cooling systems, is considered as one of the primary
forms of energy carrier in the future. However, with the increasing complexity
of multiple energy devices and systems integration, IES planning is facing a
significant challenge in terms of risk assessment. To this end, an energy hub
(EH) planning model considering renewable energy sources (RES) and energy
storage system (ESS) integration is proposed in this paper, in which the risk
is measured by Conditional Value-at-Risk (CVaR). The proposed IES planning
model includes two stages: 1) investment planning on equipment types and
capacity (e.g., energy converters, distributed RES and ESS) and 2) optimizing
the potential risk loss in operation scenarios along with confidence level and
risk preference. The problem solving is accelerated by Benders Decomposition
and Improved Backward Scenario Reduction Method. The numerical results
illustrate the effectiveness of proposed method in balancing the potential
operation risk and investment cost. Moreover, the effectiveness of reducing
potential operation risk by introducing ESS and RES are also verified.
