4.7 Article

Coordinated Planning of Electric Power and Natural Gas Distribution Systems With Refueling Stations for Alternative Fuel Vehicles in Transportation System

Journal

IEEE TRANSACTIONS ON SMART GRID
Volume 13, Issue 5, Pages 3558-3569

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSG.2022.3166965

Keywords

Planning; Transportation; Natural gas; Indexes; Costs; Fuels; Resistance heating; Electric power distribution; natural gas; and transportation networks; coordinated planning; alternative fuel vehicles; refueling stations

Funding

  1. National Natural Science Foundation of China [52177113, U1766205]

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This paper proposes a coordinated planning method for investment and operation of emerging urban energy infrastructures. By optimizing the location, size, and development strategies of refueling stations, as well as the coordination among electric power, natural gas, and transportation networks, the investment and operation costs of urban energy infrastructures can be reduced.
The alternative fuel vehicles (AFVs) which include electric vehicles (EVs) and natural gas vehicles (GVs) have gained much attention in recent years for delivering a clean and low-carbon urban mobility. The AFV development is promoting the coordination among electric power, natural gas, and transportation (ENT) networks. This paper proposes a coordinated planning method for investment on and operation of emerging urban energy infrastructures. The sites and sizes of refueling stations are optimized along with the expansion strategies for electric power distribution network (PDN) and natural gas distribution network (GDN). First, AFV refueling demands are analyzed according to the refueling station constraints and options, and transportation network (TN) constraints. Second, the coordinated planning model for PDN and GDN is formulated along with respective operation constraints in PDN, GDN, and TN. An efficient MILP solution method is developed for the proposed optimization problem. Finally, several case studies verify the effectiveness of the proposed model and its solution method. Compared with existing solutions, the proposed panning method offers a more accurate AFV refueling demand model with various refueling options. It is demonstrated that the coordinated planning can reduce investment and operation costs of urban energy infrastructures by exploring the pertinent interactions among constrained PDN, GDN, and TN.

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