Collaborative Optimization Strategy for Multidimensional Flexible Resource Clusters under Multifactor Influences

With the construction of new power systems, a large number of flexible resource entities continue to emerge, and how to achieve their efficient coordinated operation has become an urgent problem to be solved. In order to cope with this problem, a collaborative optimization strategy for a multi-dimensional flexible resource cluster considering multi-dimensional influencing factors is proposed. First, a mathematical model of multiple flexible resources is established, and an operation and dispatching model of a multi-dimensional flexible resource cluster is constructed. Then, based on the uncertainty of source and load, a robust optimization algorithm is adopted to propose a robust operation strategy for a multi-dimensional flexible resource cluster. Secondly, a master-slave game model between power grid operators and multi-dimensional flexible resource clusters is established to explore the impact of flexible electricity price adjustment mechanisms on the operation of multi-dimensional flexible resource clusters. Finally, the effectiveness of the model proposed in this paper is verified by examples.