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Abstract
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Energy is considered one of the most important human needs. Therefore, various energy resources are exploited
to meet human needs. Among all available resources, electricity and natural gas have accounted for the largest
share in meeting these needs. Accordingly, management of these resources is one of the most important issues in
different societies. This paper presents a multi-objective optimization model for optimal management and
operation of the power distribution network and natural gas network as well as reducing carbon emissions. In
this modeling, the natural gas network and distribution power network are connected through two electric
vehicle parking lots (EVPLs) and two gas-fired units (GFUs), and these two EVPLs and GFUs exchange energy
with each other. The EVPLs are equipped with various facilities including power-to-gas (P2G) systems and
natural gas storage that facilitate energy exchange between the two networks. The modeling presented in this
article is based on mixed integer linear programming, so the nonlinear equations including power flow equations,
the Weymouth equation and the cost functions of GFUs are also linearized using various methods. It should be
noted that the price of purchased electricity poses uncertainty which is modeled using robust optimization
techniques. The proposed model is tested on the 33-bus power distribution network and the 20-node natural gas
network. The results show that the presence of EVPLs significantly reduces the operational costs of the natural
gas network and power distribution network and carbon emissions.
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