Source-network-load-storage collaborated two-stage power dispatch of active distribution network with conditional value-at-risk

• A two-stage risk-dispatch model is proposed for ADN considering the collaboration of source-network-load-storage. • The high operating cost risk loss (HCL) and high overrun risk loss (HOL) of ADN are defined by CvaR. • The cooperative dispatch of ESS, dynamic reconfiguration of network, and SOP reduce system operational cost. The high penetration of distributed wind turbines (WT) and photovoltaics (PV) brings temporal volatility and uncertainty to their output, posing significant challenges to the optimal scheduling of distribution networks. By reasonably quantifying risks and coordinating the scheduling of generation, grid, load, and storage resources, risk losses can be minimized and economical operation of active distribution networks (ADN) can be achieved. Aiming at the difficulties in accurately quantifying operational risks under high renewable energy penetration, the challenges of coordinated optimization scheduling for multiple types of source-grid-load-storage devices, high system operation risks, and poor economic performance, this paper proposes a CVaR-based method to quantify operational losses in low-probability high-risk scenarios for ADN, and constructs a two-stage risk scheduling model with day-ahead and intra-day coordination of source-grid-load-storage resources. In the day-ahead scheduling stage, deterministic forecasts of wind and PV are considered, with the objective of optimizing slower-responding discrete devices to minimize the daily comprehensive operational cost of the ADN. Based on the day-ahead decisions for discrete devices, the intra-day scheduling stage introduces typical wind and PV scenarios with high-risk loss values, forming an optimal scheduling model that takes into account both multi-scenario daily comprehensive operational costs and high-risk scenario loss values. This enables optimal coordination and scheduling of fast-responding continuous devices, promoting the collaborative and optimal operation of source, grid, load, and storage equipment. Case studies show that, compared with other scheduling methods, the proposed two-stage risk scheduling model can improve the economic performance of grid operation while effectively reducing the high operating costs and violation risks caused by wind and PV fluctuations.