Virtual power plant optimization scheduling method under fuzzy opportunity constraint

The invention discloses a virtual power plant optimization scheduling method under fuzzy opportunity constraint, and the method comprises the steps: building a virtual power plant power side model and a virtual power plant load side model, processing the uncertainty through employing a scene generation and sampling mode, converting a probability function optimization problem under a single scene into a deterministic optimization problem under multiple scenes, and solving a problem of fuzzy opportunity constraint. And a large M method is adopted to process the fuzzy opportunity constraint to obtain a deterministic constraint, and finally the virtual power plant optimization scheduling model is established and solved, so that the actual situation can be better represented, the accuracy, reliability and effectiveness are relatively high, and the obtained optimal scheduling strategy is more scientific and reasonable. 本发明公开了模糊机会约束下的虚拟电厂优化调度方法，通过建立虚拟电厂电源侧模型、虚拟电厂负荷侧模型，并利用场景生成与抽样方式处理不确定性，将单一场景下的概率函数优化问题转换为多场景下的确定性优化问