| 引用本文: | 胡福年,徐伟成,陈 军.计及电动汽车充电负荷的风电-光伏-光热联合系统协调调度[J].电力系统保护与控制,2021,49(13):10-20.[点击复制] |
| HU Funian,XU Weicheng,CHEN Jun.Coordinated scheduling of wind power photovoltaic solar thermal combined system considering electric vehicle charging load[J].Power System Protection and Control,2021,49(13):10-20[点击复制] |
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| 摘要: |
| 考虑大规模电动汽车(Electric vehicle, EV)随机接入含高比例可再生能源电力系统后会进一步加大系统运行的稳定性问题，根据风光特性将联合系统划分为“有风有光”、“有风无光”、“有光无风”、“无风无光”四种运行模式，提出一种计及EV充电负荷的风电-光伏-光热协调调度策略。在“多能源端”通过外加电加热模块将盈余电功率转换成热功率储存在光热电站(Concentrating solar power，CSP)的蓄热系统(Thermal energy storage，TES)中，在可再生能源出力不足时，通过TES放热推动汽轮机组出力，从而减少功率波动性。在“负荷侧”将EV负荷划分为无序EV、单纯有序EV和V2G(Vehicle-to-grid)三种不同的EV负荷。最后利用Matlab进行仿真分析，仿真结果验证了所提调度策略在减少净负荷方差、增大可再生能源消纳、减小传统机组波动等方面的有效性。 |
| 关键词: 可再生能源 多源互补 电动汽车 源-荷协调调度 综合能源系统 |
| DOI：DOI: 10.19783/j.cnki.pspc.201075 |
| 投稿时间：2020-09-02修订日期：2021-01-07 |
| 基金项目:国家自然科学基金项目资助(61773186) |
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| Coordinated scheduling of wind power photovoltaic solar thermal combined system considering electric vehicle charging load |
| HU Funian,XU Weicheng,CHEN Jun |
| (Jiangsu Normal University, Xuzhou 221116, China) |
| Abstract: |
| Large-scale Electric Vehicles (EV) are randomly connected to power system containing a high proportion of renewable energy, which will further increase the stability of the system. According to the characteristics of wind and solar, the combined system is divided into four operating modes. The operating modes are "having wind and solar", "having wind without solar", "having solar without wind" and "without wind and solar". This paper proposes a wind power-photovoltaic-photothermal coordinated dispatch strategy that takes into account the EV charging load. In "multi-source" part, the surplus electric power is converted into thermal power through the external electric heating module and stored in the Thermal Storage System (TES) of the Concentrating Solar Power (CSP) station. When the output of renewable energy is insufficient, the heat storage system releases heat to promote the output of the steam turbine unit, thereby reducing power volatility. In "load side" part, the EV load is divided into three different EV loads: disorderly EV load, orderly charging EV load and Vehicle-to-grid (V2G). Finally, Matlab is used for simulation analysis. The results verify the effectiveness of the proposed scheduling strategy in reducing net load variance, increasing renewable energy consumption, and reducing fluctuations of traditional units.
This work is supported by the National Natural Science Foundation of China (No. 61773186). |
| Key words: renewable energy multi-source complementation electric vehicles source-load coordination schedule integrated energy system |
