Rural Photovoltaic Storage and Charging Integrated Charging Station Capacity Allocation
Strategy based on Tariff Compensation Mechanism
Authors: Cai Yongxiang , Bai Hao , Wang Lei , Xiao Xiaobing , Li Wei , Wang Yang 
Published: January 2024

Background:

In order to help the carbon peaking and carbon neutrality goals, the
current new energy vehicle to the countryside policy for the local use of renewable energy and
demand-side carbon reduction provides a good opportunity but also requires rural townships and
villages of electric vehicle charging infrastructure planning ahead. However, due to the current
low rural electric vehicle ownership, the charging price compensation mechanism is not yet perfect,
resulting in the planning period of electric vehicle growth and the willingness to respond to
the tariff compensation policy is difficult to accurately assess.

Methods:

This paper proposes a rural photovoltaic storage and charging integrated charging station
capacity allocation strategy based on the tariff compensation mechanism. Firstly, we construct
a spatial-temporal dynamic distribution model of rural EV charging load coupled with distribution
network-transportation network, and on this basis, we consider the rural EV charging
time-sharing tariff and tariff compensation policy incentive, and amend the EV charging load
transfer model; and then we construct an optimization planning model of charging station with the
goal of minimizing the cost of construction, operation and maintenance, and maximizing the
charging benefit of the integrated charging station in the rural area, and obtain the optimal synergistic
planning scheme under the tariff compensation mechanism in the planning period.

Results:

The optimal collaborative planning scheme under the electricity price compensation
mechanism is obtained, and the correctness and validity of the proposed optimal planning method
of the rural optical storage charging station under the electricity price compensation mechanism is
verified by the example, which is of positive significance in the promotion of the charging facilities
to go to the countryside in an appropriate manner, and in the stimulation of the willingness of
the rural consumers in the townships to purchase vehicles.

Conclusion:

(1) The spatial and temporal distribution and transfer model of rural EV charging
loads with price incentives is constructed by taking into account the preferential charging price
policies such as rural time-sharing tariff and tariff compensation mechanism. By comparing the
operating revenues of optical storage-charging integrated charging stations with and without timesharing
tariffs and tariff compensation policies, we verified the incentive effect of multiple types
of price incentives for the over-planning of rural electric vehicle charging facilities. (2) The proposed
optimal configuration method of rural photovoltaic, storage and charging integration charging
station can realize the in-situ utilization of rural renewable energy, tap the price competitiveness
of photovoltaic, storage and charging integration, and weaken the cost of electricity consumption.
By comparing the optimized configuration scheme with and without joint planning, it is
verified that the moderate configuration of in-situ photovoltaic and energy storage equipment on
the basis of the planning of charging piles brings benefits far exceeding the investment cost, and
has a great role in increasing the operational efficiency of rural charging facilities.