In order to alleviate the energy crisis and environmental pollution, electric vehicles (EVs) have been developed on a large-scale throughout the world in the exceptional period. On the other hand, virtual power plant (VPP), an aggregator involved in various renewable energies and diversified loads, is considered as the crucial measure to coordinate with the EVs to participate in the power market. Obviously, the equivalent model of EV in the VPP is difficult to fulfill the need for large-scale development of EVs in the future. Therefore, it is of great significance to establish the detailed charging models of EVs and explore the influences on the operation of the VPP. First, the basic structure and operation feature of VPP considering four different kinds of EVs is introduced briefly. Moreover, in order to describe the bidding processing of VPP, the three stages of power market are introduced from the trading aspects. Then, the charging characteristics of four types of EVs are analyzed in terms of charging time, charging power, and access probability. In addition, the bidding strategy models of VPP at three different stages are built and the improved Artificial Bee Colony algorithm is utilized to solve the optimal bidding strategies of the VPP. Finally, the performances of the bidding model of VPP are validated by the different scenarios that considered the multitype EVs integrations, and the influences of the different scales of EVs on the bidding strategy of VPP are also analyzed.

中文翻译：

---

考虑电动汽车大规模集成的虚拟电厂招标策略

为缓解能源危机和环境污染，特殊时期全球范围内大规模发展电动汽车（EV）。另一方面，虚拟发电厂（VPP）作为涉及各种可再生能源和多样化负载的聚合器，被认为是协调电动汽车参与电力市场的关键措施。显然，VPP中EV的等效模型难以满足未来电动汽车大规模发展的需要。因此，建立详细的电动汽车充电模型，探讨对VPP运行的影响具有重要意义。首先，简要介绍了考虑四种不同类型电动汽车的VPP的基本结构和运行特点。此外，为了描述 VPP 的投标处理，从交易方面介绍电力市场的三个阶段。然后，从充电时间、充电功率、接入概率等方面分析了四种类型电动汽车的充电特性。此外，建立了三个不同阶段VPP的投标策略模型，并利用改进的人工蜂群算法求解VPP的最优投标策略。最后，通过考虑多类型电动汽车集成的不同场景验证了VPP投标模型的性能，并分析了不同规模的电动汽车对VPP投标策略的影响。此外，建立了三个不同阶段VPP的投标策略模型，并利用改进的人工蜂群算法求解VPP的最优投标策略。最后，通过考虑多类型电动汽车集成的不同场景验证了VPP投标模型的性能，并分析了不同规模的电动汽车对VPP投标策略的影响。此外，建立了三个不同阶段VPP的投标策略模型，并利用改进的人工蜂群算法求解VPP的最优投标策略。最后，通过考虑多类型电动汽车集成的不同场景验证了VPP投标模型的性能，并分析了不同规模的电动汽车对VPP投标策略的影响。