计及安全约束的虚拟电厂两层优化调度

发布时间：2018-09-07 22:12

【摘要】：随着分布式电源接入电网比例不断提高,其出力的随机性和间歇性对电力系统安全稳定运行造成威胁,虚拟电厂(VPP)为有效解决分布式电源并网提供了新思路。风电等可再生能源的发电和电价具有不确定性,如何在不确定环境下提高VPP的可调度性成为研究热点。针对电价预测精度高、误差分布较为规律的特点,采用随机规划法处理电价的不确定性,对于风电等可再生能源的出力,其预测误差通常难以准确地用概率分布描述,采用鲁棒优化法处理,在此基础上建立VPP优化调度的上层经济调度模型。进一步考虑电网的安全约束,建立VPP优化调度的下层安全调度模型,最终形成VPP两层优化调度模型。通过对改进的IEEE 33节点系统及由风电场、抽水蓄能电站和燃气轮机组成VPP的算例分析,验证了所提模型的可行性和有效性。
[Abstract]:With the increasing proportion of distributed power supply connecting to the power grid, the randomness and intermittency of the power supply are threatening the safe and stable operation of the power system. The virtual power plant (VPP) provides a new way to solve the problem effectively. The generation and price of renewable energy such as wind power are uncertain. How to improve the schedulability of VPP in uncertain environment has become a hot research topic. In view of the characteristics of high precision and regular error distribution of electricity price, the stochastic programming method is used to deal with the uncertainty of electricity price. For the output of renewable energy such as wind power, the prediction error is usually difficult to describe accurately by probability distribution. Based on the robust optimization method, the upper economic scheduling model of VPP optimal scheduling is established. Further considering the security constraints of the power network, the lower layer security dispatching model of VPP optimal dispatching is established, and finally the VPP two-layer optimal scheduling model is formed. The feasibility and validity of the proposed model are verified by the example analysis of the improved IEEE 33 node system and the VPP composed of wind farm, pumped storage power station and gas turbine.
【作者单位】：河海大学能源与电气学院;国网江苏省电力公司检修分公司;
【基金】：国家自然科学基金资助项目(51507052,51277052) 中国博士后科学基金资助项目(2015M571653) 中央高校基本科研业务费专项资金资助项目(2015B02714)~~
【分类号】：TM73

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