Research on Low-Carbon Optimization Strategy of Regional Power Supply Based on Large-Scale V2G

doi:10.12204/j.issn.1000-7229.2022.12.006

Abstract

Abstract:

The increase of the proportion of renewable energy will reduce the flexibility, increase the economic cost, and have an impact on the stability of power grid operation. With the expansion of the scale of electric vehicles, their large-scale access to the power grid will also affect the stability of the power grid due to charging uncertainty. The implementation of vehicle to grid (V2G) technology makes it possible for electric vehicles to participate in peak-shaving auxiliary services on a large scale, so it should be included in the future power system planning. Aiming at large-scale electric vehicles participating in peak shaving, this paper focuses on the influence of seasonal factors on electric vehicles participating in V2G output. In the research process, a multi-objective programming model is established to minimize the system operation cost, minimize the load fluctuation on the grid side and maximize the economic benefits on the user side, so as to optimize the power supply structure, reduce the carbon emission on the power supply side and improve the overall economic benefits of the system. Taking Hebei Province of China as an example, different scenarios are set for research and analysis. The results show that, when the participation ratio of V2G is 70% in the planning period, the result is the best, and the carbon emission on the power side is effectively reduced by 3.45%. The consumption of wind and solar energy can be increased by 10.18%, promoting the transformation of power structure.

Key words: power planning, V2G, carbon peak, renewable energy, multi-objective optimization, peak-shaving and valley-filling

CLC Number:

TM74

TAN Qinliang, GUO Mingxin, LIU Yuan, HAN Jian, MEI Shufan, DING Yihong. Research on Low-Carbon Optimization Strategy of Regional Power Supply Based on Large-Scale V2G[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(12): 56-65.

Figures/Tables 14

Table 1 Partial forecast data in the planning period

Table 2 Basic data of power supply side during the planning period

Table 3 Basic data of electric vehicles in the planning period

Table 4 Scenario settings

Fig.1 Total annual carbon emission of power supply side in the planning period of each scenario

Fig.2 Changes in total cost of power supply side in the planning period of each scenario

Table 5 New capacity of units in the planning period of each scenario

Fig.3 Load curve before and after V2G participation in each season in 2021 in scenario d

Fig.4 Load curve before and after V2G participation in each season in 2029 in scenario d

Fig.5 Load curve before and after V2G participation in each season in 2035 in scenario d

Fig.6 Total charging cost of EV before and after V2G in scenario d

Fig.7 Planning results of new power installation in scenario d

Fig.8 Annual power generation of each power source in scenario d

Fig.9 Proportion of renewable energy power generation in 2035

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