40results about How to "Realize optimal scheduling" patented technology

The invention discloses a reactive power voltage optimal operation control method of a distribution network of 10kV or below, which collects the voltage, current, active power, reactive power and Power and other parameters are uploaded to the main control server, and the main control server simultaneously obtains the voltage, current, active power, reactive power and other parameters of the substation transformer forwarded by the reactive power optimization server of the regional power grid through the SCADA interface server to optimize reactive power and voltage Calculated by adjusting the on-load tap-changer of the main transformer of the substation upward or adjusting the switching switch of the reactive power compensation comprehensive measurement and control device of the distribution network downward. The goal of voltage optimization control is changed from "ensure the qualified voltage of the 10kV busbar in the substation" to "ensure the qualified voltage at the end user end of the distribution network". The function layer is balanced in situ.

The invention discloses a method and a system for optimizing dispatching based on RFID, belonging to the technical field of RFID radio frequency identification. In the dispatching optimizing method, the product of the distance d between a forklift and cargos and the rated load-lifting capacity w of the forklift is used as the reference of estimating the work cost f of the forklift, the task dispatching problem of the forklift is abstracted into an appointing problem of m forklifts and n tasks and the optimal dispatching scheme is realized by calculating the lowest total work cost of all forklifts. According to the method and system for optimizing dispatching, the optimization to the traditional forklift dispatching problem is realized, the RFID technique can be positioned more real-timely and precisely, the measurement standard of the calculation method is more scientific, the forklift dispatching in a factory is more systemized, the work efficiency of the forklift is improved and the work cost of the forklift is reduced.

The invention relates to an optimization method in the field of power system automation, in particular to a layered optimization method of a regional distribution network comprising a micro-grid. The method includes the following steps: (1) building a micro-grid and distribution network combined dispatching model; (2) building an efficiency-maximizing secondary dispatching model of the micro-grid; (3) optimizing the two dispatching models. According to the method, the micro-grid is taken as a controllable unit capable of dispatching independently; through coordinated dispatching of a controllable distributed power supply on the distribution network side, the micro-grid and the distribution network and bi-layer dispatching control of economic dispatch of distributed energy resources inside the micro-grid, the distributed energy resources are used in a maximized manner internally, the regional distribution network power supply and loads are dispatched optimally externally, and acceptance capability of the distraction network to the distributed power supply can be effectively improved.

The invention discloses a multi-satellite coordinated real-time tracking method for a spatial dynamic target. The method comprises the steps of firstly establishing a low earth orbit satellite and staring detector model, a tracking task model and a visible time window model; then introducing a rolling time domain concept when real-time tracking is performed on the spatial dynamic target, taking the forward-looking fixed time length T as the rolling time domain to obtain a tracking task of a ballistic missile in the rolling time domain, and establishing a single-layer to-be-tracked task set with the single rolling time domain as a reference, and splitting each to-be-tracked task into a plurality of atomic tasks in the rolling time domain by use of a reverse tree structure to obtain a set ofdetector resources corresponding to each atomic task; and finally, constructing a fitness function based on constraints and objective functions of resource scheduling, and then solving the optimal particle individual based on the fitness value of the particle individual through an evolutionary particle swarm optimization algorithm with crossover and mutation operations, and performing resource scheduling of the detector resources on the single-layer atomic task set according to the optimal particle individual.

The invention discloses a DSP-based mine rescue cabin low-power monitoring system and method. The rescue cabin low-power monitoring system includes a DSP core controller, a lighting system, a video monitoring system, a gas monitoring system inside and outside the cabin, a power supply module, Touch the display screen, water circulation system and refrigeration system; the method integrates the information of the five major systems in the rescue cabin through the same DSP core controller, and then realizes the necessary display and control functions on the touch screen display, according to the power supply priority of the five major control systems Sorting, while ensuring the normal operation of the monitoring system, optimize the configuration of the power supply function, reduce the power consumption of the rescue cabin, and increase the battery life. Realize the optimal scheduling of each module by the control system, rationally optimize and configure the working status of each system according to the remaining power of the power module, greatly increase the energy utilization rate of the energy-scarce system, and reduce the power consumption of the entire monitoring system while working normally.

A numerically controlled workshop automatic delivery vehicle scheduling method is characterized in that firstly, on the basis that constraint analysis and mathematical modeling are conducted on the vehicle scheduling problem in a numerically controlled workshop, an original matrix scanning method is adopted to distribute distribution tasks to vehicles, initial population of a subsequent genetic algorithm is obviously optimized, then, an optimal distribution sequence of a single vehicle is solved through the genetic algorithm, aiming at driving characteristics of distribution vehicles in the numerically controlled workshop, practical driving distances of the vehicles are calculated through an original coordinate addition-subtraction method with directions, optimal distribution time of the vehicles are obtained through a golden section method based on the prior fact, local convergence of the algorithm are avoided through an elitism retention strategy, and therefore an ideal vehicle scheduling optimizing scheme is obtained. According to the numerically controlled workshop automatic delivery vehicle scheduling method, the problem that an existing vehicle scheduling algorithm is low in efficiency due to specific distribution of user points and the special distribution process in the numerically controlled workshop is solved, and the algorithm is efficient and feasible.