虚拟电厂与智能电网协同优化及智能控制策略研究

Research on Collaborative Optimization and Intelligent Control Strategy of Virtual Power Plants and Smart Grids

摘要:

虚拟电厂与智能电网的协同优化及智能控制策略,是提升电力系统灵活性、稳定性与经济性的关键。文中以两者协同运行需求为导向,首先挖掘技术架构层面的共性特征,通过统一协调机制整合分布式能源资源,实现电力系统的全局化高效管理;在数据处理层面,融合大数据、云计算及人工智能技术,构建能源流优化分析模型,完成能源配置的精准计算与分析;在控制执行层面,制定适配多工况变化的智能优化控制措施,实现复杂场景下的动态调控。将上述技术架构与控制策略应用于实际项目,结果表明,该方案可有效实现电力系统运行效益与控制效果的双重优化,为虚拟电厂与智能电网的协同高效运行提供了可行的技术路径与实践参考。

Abstract:

The collaborative optimization and intelligent control strategy of virtual power plants and smart grids is the key to improving the flexibility, stability and economy of power systems. Guided by the demand for their collaborative operation, this paper first explores the common characteristics at the technical architecture level, integrates distributed energy resources through a unified coordination mechanism, and realizes the global and efficient management of power systems; at the data processing level, it integrates big data, cloud computing and artificial intelligence technologies to build an energy flow optimization analysis model and complete the accurate calculation and analysis of energy configuration; at the control execution level, it formulates intelligent optimization control measures adapted to changes in multiple operating conditions to achieve dynamic regulation in complex scenarios. The above technical architecture and control strategy are applied to practical project, and the results show that the scheme can effectively realize the dual optimization of the operation efficiency and control effect of the power system, providing a feasible technical path and practical reference for the collaborative and efficient operation of virtual power plants and smart grids.