6 results about "Robust optimization problem" patented technology

This invention relates to intelligent transportation technology and aims to provide a data-driven robust site selection method for heterogeneous risk management in drone-assisted accident handling. The method includes: cleaning and preprocessing historical traffic incident data, extracting accident tags and performing quantitative classification based on the U-I-A multidimensional evaluation framework to obtain a structured dataset; decomposing uncertain demand into basic normal demand and multi-source heterogeneous fluctuations, and establishing a structured uncertainty set based on the quantitatively classified structured dataset; modeling the robust site selection planning model as a minimax robust optimization problem, and then equivalently reconstructing it into a solvable single-stage mixed integer linear programming model; using a solver to solve the problem, obtaining the globally optimal hangar site selection scheme and the number of supporting drones, and outputting the results. This site selection method enhances the reliability and robustness of the drone emergency response system; it enables scientific planning of drone site deployment, achieving rapid and stable emergency response.

The power system real-time scheduling method and system considering energy storage differentiated response comprise: updating wind power and photovoltaic output and load prediction data every preset time interval in a scheduling period; a robust optimization model containing new energy prediction error uncertainty and energy storage differentiated response is established, including constructing an objective function, robust operation constraints of different types of energy storage power stations, system power balance constraints and line transmission capacity constraints; a robust dual method is used to convert the robust optimization problem containing interval uncertainty into a deterministic mixed integer linear programming problem; according to the wind power and photovoltaic output and load prediction data in each scheduling period, the robust optimization model of the power system real-time scheduling is solved every other scheduling period, and the real-time power instructions of two types of energy storage and conventional units are output. The present application can fully exert the regulation flexibility and comprehensive benefits of different types of energy storage power stations, can adapt to different regional new energy fluctuation characteristics, and can improve the new energy consumption capacity.

This invention discloses a secure covert communication method based on cognitive radio, investigating a delay-tolerant relay covert unmanned aerial vehicle (UAV) and a cognitive radio framework involving multiple colluding eavesdroppers and listeners. In this framework, a legitimate UAV acts as an airborne relay, enabling communication when the direct link between the ground transmitter and receiver is blocked. Subsequently, considering the uncertainty of the locations of multiple eavesdropping and listening nodes, a robust optimization problem is constructed. By jointly optimizing the UAV's trajectory and power, and the transmitter's transmission power, a tractable version is constructed using Pinsk inequalities, Jensen inequalities, and a binary search method for extremely complex covert constraints. Following this, an algorithm based on alternating optimization is proposed to solve the optimization problem. Achieving low complexity, algorithms based on primal-dual search and continuous convex approximation are designed for each subproblem. Numerical results demonstrate the effectiveness of our proposed algorithm.

The application discloses a hydrogen-containing mixed energy supply infrastructure planning method, and relates to the field of hydrogen energy, and comprises the following steps: step 1, three-network coupling modeling of an electric network, a hydrogen network and a traffic network: coupling network physical scene construction and optimization target establishment, traffic network constraint construction, hydrogen network constraint construction, electric network constraint construction and coupling constraint construction; step 2, decision dependence distribution robust optimization model construction: hydrogen demand decision dependence fuzzy set construction and distribution robust optimization framework construction; step 3, distribution robust optimization problem reconstruction and solving method: decision dependence scene probability construction, norm item linearization and opportunity constraint reconstruction; and step 4, three-network coupling system example simulation analysis. The application effectively solves the problem of whether a hydrogen vehicle or a hydrogen refueling station is first developed when hydrogen fuel vehicles have not been popularized, realizes reasonable planning of hydrogen infrastructure, reduces investment and operation costs, improves new energy consumption of an electric network and effectively avoids energy waste in the early development of hydrogen vehicles.