4 results about "Uncertain set" patented technology

The application discloses a conformal calibration electricity price prediction method for computer-aided collaborative decision-making, and belongs to the field of power distribution network optimization; the method is applied to a collaborative system containing flexible resources on the computing power side and the power side, and comprises the following steps: in a training stage, a neural network is trained by using historical characteristic information, a conformal threshold is determined based on a conformal prediction theory, and a historical electricity price box type uncertainty set is constructed; the set is input into a differentiable convex optimization layer which is reconstructed from a robust scheduling model dual, and a total actual operation cost is taken as a loss function to perform decision focusing back propagation training on the prediction network. In a day-ahead scheduling stage, a trained prediction network and the conformal threshold are used to generate a calibrated day-ahead electricity price box type uncertainty set, and the set is input into the differentiable convex optimization layer again to obtain optimal scheduling decision variables containing the states of the two types of flexible resources and to issue control instructions. The application reduces the comprehensive operation cost of the system under the premise of guaranteeing uncertainty statistical coverage.

The present application relates to the technical field of administration, in particular to a security personnel intelligent scheduling system and method based on hierarchical architecture. The system adopts five-layer architecture of data management layer, feature calculation layer, intelligent core layer, decision support layer and user interaction layer to realize business logic decoupling. The method core includes: converting requirements into structured portraits through a project analyzer; the intelligent scheduling engine adopts a multi-objective evolutionary algorithm integrating robust optimization, generates a resilient scheduling scheme capable of resisting the worst absence scenario by defining an uncertain set of personnel availability; the dynamic scheduler adopts an online algorithm with a guaranteed competitive ratio to provide real-time decisions with bounded performance for unpredictable temporary tasks. The scheme realizes the change from post-event remediation to pre-event prevention, guarantees business continuity, and provides quantifiable performance guarantees for scheduling decisions in dynamic environments.

This invention discloses a unit combination method based on historical data under renewable energy penetration, comprising the following steps: S1. Constructing standby constraints in the unit combination problem; S2. Constructing a prediction error dataset consisting of prediction errors at various times within the data collection period; S3. Dividing the error dataset into two parts: a dataset and a set of uncertainties; S4. Dividing the dataset into uncertainties and constructing an uncertain set, and estimating its shape parameters; S5. Transforming robust constraints with uncertainties into deterministic constraints for direct solution; S6. Reconstructing the uncertain set and introducing a transformation function to transform and solve the optimization problem. This invention reduces the impact of prediction errors on solving the unit combination problem by using historical data of renewable energy prediction errors, effectively improving energy utilization.

The invention belongs to the technical field of balance analysis and intelligent scheduling of a power system, and relates to a hydropower flexible interval construction method and system considering uncertainty of new energy, and the construction method comprises the steps: 1, obtaining basic technical data of the power system containing the new energy; 2, constructing a day-ahead electric power and electric quantity balance analysis model, and establishing a water and electricity flexible interval value function of the system; 3, constructing a two-stage robust optimization model based on the decision dependence uncertainty set; dividing problems into main problems, and iteratively solving sub-problems; 4, multi-objective automatic optimization based on mixed integer linear programming; according to the method, on the premise of ensuring that the space-time boundary of hydroelectric resources is not out of limit, the response capability of the system to uncertain factors is improved, the problem that connection between a real-time clearing result and a medium-and-long-term decomposition strategy is unbalanced is effectively solved, meanwhile, the complexity of a real-time clearing model is further reduced, and the overall clearing efficiency is improved.