| 引用本文: | 张 涛,李逸鸿,郭玥彤,鄢仁武,刘 景.考虑虚拟电厂调度方式的售电公司多时间尺度滚动优化[J].电力系统保护与控制,2021,49(11):79-87.[点击复制] |
| ZHANG Tao,LI Yihong,GUO Yuetong,YAN Renwu,LIU Jing.Multi-time scale rolling optimization of electricity retailers considering virtual power plant scheduling[J].Power System Protection and Control,2021,49(11):79-87[点击复制] |
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| 考虑虚拟电厂调度方式的售电公司多时间尺度滚动优化 |
| 张涛1,2,李逸鸿1,2,郭玥彤1,2,鄢仁武3,刘景1,2 |
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| (1.三峡大学电气与新能源学院，湖北 宜昌443002;2.智慧能源技术湖北省工程研究中心(三峡大学)，
湖北 宜昌 443002;3.智能电网仿真分析与综合控制福建省高校工程研究中心(福建工程学院)，福建 福州 350118) |
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| 摘要: |
| 为了增加售电公司参与电力市场的灵活性和经济性，提高售电公司对分散式资源的利用效率，基于虚拟电厂的聚合管理方式，提出了一种售电公司多时间尺度滚动优化模型。日前阶段以售电公司收益最高为优化目标，融合多场景分析方法，制定售电公司购售电策略及各虚拟电厂日前调度计划。日内阶段考虑更高精度的分布式光伏和负荷预测，以虚拟电厂调度成本最低为目标构建日内优化调度模型。实时阶段以机会约束形式考虑虚拟电厂容量备用，修正虚拟电厂部分单元的出力，并将不确定性单元出力情况向日内阶段反馈校正。算例仿真验证了售电公司采用所提多时间尺度优化模型能够改善运营策略，合理分配资源，实现自身经济效益最大化。 |
| 关键词: 售电公司 虚拟电厂 多时间尺度 分布式能源 可控负荷 |
| DOI：DOI: 10.19783/j.cnki.pspc.201174 |
| 投稿时间：2020-09-24修订日期：2020-10-19 |
| 基金项目:国家自然科学基金项目资助(51407104)；福建省高校工程研究中心开放基金资助(KF-X19016) |
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| Multi-time scale rolling optimization of electricity retailers considering virtual power plant scheduling |
| ZHANG Tao1,2,LI Yihong1,2,GUO Yuetong1,2,YAN Renwu3,LIU Jing1,2 |
| (1. College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China;
2. Hubei Provincial Engineering Research Center for Intelligent Energy Technology (China Three Gorges University),
Yichang 443002, China; 3. Fujian Provincial University Engineering Research Center for Smart Grid Simulation
Analysis and Integrated Control (Fujian University of Technology), Fuzhou 350118, China) |
| Abstract: |
| In order to increase the flexibility and economy of electricity retailers participating in the electricity market and improve the utilization efficiency of decentralized resources, a multi time scale rolling optimization model of electricity retailers is proposed. This is based on the aggregation management mode of virtual power plants. In the day-ahead stage, the optimization goal is to maximize the revenue of electricity retailers. Based on the multi scenario analysis method, the strategy of purchasing and selling electricity and the daily dispatching plan of each virtual power plant are developed. In the intra-day phase, more accurate distributed photovoltaic and load forecasting are considered, and an optimal dispatching model is constructed with the objective of minimizing the dispatching cost of virtual power plant. In the real-time stage, the capacity reserve of the virtual power plant is considered in the form of an opportunity constraint, and the output of some units of the virtual power plant is corrected, and the output of the uncertain unit is fed back to the intra-day stage. Simulation results show that the proposed multi time scale optimization model can improve the operation strategy of electricity retailers, allocate resources reasonably and maximize their own economic benefits.
This work is supported by the National Natural Science Foundation of China (No. 51407104) and Open-end Fund of Fujian Provincial University Engineering Research Center (No. KF-X19016). |
| Key words: electricity retailers virtual power plant multi-time scale distributed energy dispatchable load |
