Improved Light Robust Optimization Strategy for Virtual Power Plant Operations with Fluctuating Demand

Aggregating loads and resources on both the supply demand side of a virtual power plant (VPP) can enhance coordination between distributed generation systems grid, ultimately improving utilization rate economic benefits renewable energy. The energy storage system (ESS) has added benefit flexible demand-side resources, which effectively suppress output uncertainty units balance load fluctuations. This paper proposes an improved light robust (ILR) optimization method for ESS’s resource, optimizes conservatism caused by (RO) in solving VPP optimal scheme, reducing running costs. By analyzing random factors operation process, ILR dynamically calls ESS backup to participate when fluctuation are inaccurate or uncertain, provided operational constraints met. approach balances economy optimization, ensuring fluctuates, power, total operating cost operation. case study show that model utilize reserve cope with fluctuations during normal system, improve while safe leave some space decision-makers utilizing resource characteristics system.