15results about How to "Reduce scheduling costs" patented technology

The invention discloses a power distribution network electric vehicle combined low-carbon scheduling method and system, and is used for solving the technical problem of overhigh scheduling cost caused by the existing power distribution network electric vehicle combined scheduling method. The method comprises the following steps: setting a first constraint condition by taking the operation cost minimization of the electric vehicle as an optimization target, and constructing a lower-layer model by taking the aggregator data of the electric vehicle as a decision variable; taking the minimum carbon perception operation cost of the power distribution network as an optimization target, setting a second constraint condition, taking power distribution system operator data corresponding to the power distribution network as a decision variable, and constructing an upper layer model; based on the initial electric vehicle aggregator data, performing joint optimization solution on the upper layer model and the lower layer model, and outputting target power distribution system operator data and target electric vehicle aggregator data; and taking the target power distribution system operator data and the target electric vehicle aggregator data as a power distribution network electric vehicle joint low-carbon scheduling scheme.

The invention discloses a multi-type load power grid low-carbon optimization scheduling method and system, and the method comprises the steps: firstly constructing a load scheduling model which takes the maximum absorption of new energy in a region as a target, then solving the load scheduling model, obtaining the regional load scheduling power of each time period in a scheduling period, and finally obtaining the load scheduling power of each time period region in the scheduling period based on the load scheduling power required by each time period region in the scheduling period. The dispatching cost and carbon emission of regional resident loads, commercial loads, industrial loads and electric vehicle adjustable loads are comprehensively considered, a multi-type load power grid low-carbon dispatching model is established, finally, the multi-type load power grid low-carbon dispatching model is solved, and a multi-type load power grid low-carbon dispatching scheme is obtained. According to the method, scheduling characteristics of various types of loads such as a resident load, a commercial load, an industrial load and an electric vehicle adjustable load and spatial and temporal changes of power grid node carbon emission factors are comprehensively considered, new energy consumption improvement is taken as a target, and regional power grid carbon emission is reduced while power grid scheduling cost is reduced.

The invention discloses an automatic adjusting system for high-speed rail dispatching, which is characterized in that the occupation conditions of station tracks and trains are visually displayed through a visual interface, a dispatcher can quickly grasp the global situation, the decision-making efficiency is improved, meanwhile, the wrong dispatching risk caused by information disorder is reduced, an automatic arrangement function quickly solves conflicts according to a preset rule, and the dispatching efficiency is improved. Scheduling flexibility and response speed are improved, manual intervention and cost are reduced, operation efficiency is improved, statistics of station track change conditions provides data support for follow-up analysis and optimization, a dispatcher is helped to optimize resource allocation, decision accuracy is improved, in addition, a specific train number station track is fixed, specific operation requirements are met, and the service life of the dispatcher is prolonged. The locking function reduces the conflict risk related to a specific train number, and through comprehensive application of visual, automatic and intelligent means, the scheduling efficiency, safety and flexibility of the high-speed railway arrival and departure line application system are remarkably improved, the operation cost is reduced, and a powerful guarantee is provided for smoothness and high efficiency of railway transportation.

The invention discloses a power grid optimal dispatching system considering various adjustable loads and carbon transactions, and belongs to the technical field of power systems. The invention discloses a power grid optimal scheduling system considering various adjustable loads and carbon transactions. The power grid optimal scheduling system comprises a data acquisition unit, a load model establishment unit, a carbon transaction model establishment unit and an optimal scheduling unit. According to the method, the problems that the scheduling advantage of the adjustable load cannot be fully played and the low-carbon property cannot be ensured in the prior art are solved, the load scheduling model and the load adjustment compensation model are respectively established by acquiring various adjustable load data of the to-be-scheduled power grid and based on the power utilization characteristics of various adjustable load resources, and meanwhile, the load scheduling model and the load adjustment compensation model are established. A carbon transaction cost model is constructed according to a carbon transaction mechanism, and load characteristic constraints are established by taking the minimum total scheduling cost as an optimization target, so that a scheduling method for multi-type adjustable load resources is established for optimal scheduling, the scheduling cost and the carbon emission of a unit can be effectively reduced, and the economical efficiency and low-carbon property of power grid operation are ensured.

The invention belongs to the technical field of power system automation, and particularly relates to an island micro-grid online hierarchical control method, device and equipment and a medium. The method comprises the following steps: after a power distribution network fault occurs, constructing each island micro-grid based on energy storage equipment and distributed photovoltaics; constructing a layered voltage / reactive power control model based on the three-phase unbalanced power distribution network model of the island micro-grid; the layered voltage / reactive power control model comprises an objective function with the minimum sum of the voltage deviation and the reactive power cost generated by the distributed photovoltaic inverter, and a constraint condition corresponding to the objective function; introducing an auxiliary variable vector to reconstruct the layered voltage / reactive power control model to obtain a problem equivalent model; and based on constraint conditions, solving the problem equivalent model by using a quasi-Newton ADMM method to obtain an island micro-grid online hierarchical control strategy. According to the scheme, the problem of voltage safety after photovoltaic grid connection of the island microgrid is solved by utilizing inherent photovoltaic resources in the island, and voltage autonomy is realized.

The invention discloses a container truck appointment scheduling method based on a train arrival and departure time window, and the method comprises the steps: constructing a single path set S based on a current station, setting a preset complete time window of a path as T, setting an actual complete time window of the path as T ', obtaining a complete time window difference value D on the path, and obtaining a complete time window difference value D of the path; obtaining a preset time window threshold value Y of the path and a corresponding original band domain, constructing gene chains based on respective time sequences, judging Yi by Y, and adjusting a scheduling plan so as to realize integral scheduling; by monitoring the whole running route of the train and calculating and adjusting the matching time of the train and the container truck, the time pressure and the space pressure of the current station are reduced, the overall matching, appointment and scheduling difficulty is reduced, when non-punctual running occurs, the scheduling plan is revised by adjusting the container truck appointment time in advance, and the scheduling efficiency is improved. The scheduling cost is reduced, and the operation efficiency of the station is also improved.

The invention discloses a reel type sprinkling irrigation machine dispatching method for soil mechanical compaction and reduction, and relates to the field of agricultural machinery dispatching. The problem that the influence of the machine on the soil compaction effect is not considered in an existing sprinkling irrigation scheduling method is solved. According to the method, the total scheduling target function is constructed with the lowest total scheduling cost of the reel type sprinkling irrigation machine and the highest total compaction satisfaction degree of the field, and the minimum scheduling target function is constrained according to the set constraint condition, so that optimization solution is carried out, and the optimization solution efficiency is improved. And distributing corresponding reel type sprinkling machines and service paths of the reel type sprinkling machines to the field parcels corresponding to the water source points. The method and the device are mainly used for scheduling the reel sprinkling machine.

The invention relates to the technical field of oil platform energy management and control, and discloses an oil platform energy management and control system, which comprises an energy acquisition and monitoring module, an energy use data calculation module, an energy scheduling module and a safety detection module, and is characterized in that the energy acquisition and monitoring module comprises an electric energy acquisition unit, a solar energy acquisition unit and a fuel oil acquisition unit; the energy use data calculation module comprises an energy use recording unit and an energy consumption calculation unit, the energy scheduling module comprises a scheduling request analysis unit and an actual scheduling unit, and the safety detection module comprises an energy reserve calculation unit and an equipment energy consumption anomaly detection unit. According to the method, the electric energy and the gas energy on the oil platform are counted, the optimal energy consumption model is established according to the energy consumption required by the ith equipment, the optimal energy consumption model is solved, the optimal energy distribution weight is obtained, scheduling distribution is carried out according to the energy distribution weight, the economical utilization of the energy of the oil platform is ensured, and the service life of the oil platform is prolonged. Therefore, the scheduling cost is reduced.

The application relates to an intelligent scheduling method and device of a medical waste transport vehicle, and relates to the technical field of vehicle scheduling.The method comprises the following steps: based on a received scheduling request of a medical waste transport vehicle, determining medical waste information of a medical institution and waste information of a centralized disposal center; determining a target area and a target medical waste transport vehicle of scheduling, and dividing the target area into multiple subareas; based on a second scheduling parameter, determining a target subarea and a first scheduling path of the target medical waste transport vehicle in the target area; scheduling the target medical waste transport vehicle based on a scheduling instruction generated based on the first scheduling path and the target subarea; in the scheduling process, adjusting the first scheduling path according to a third scheduling parameter to generate a second scheduling path, until the target medical waste transport vehicle is scheduled to be completed, the application improves scheduling efficiency and reduces scheduling cost, and realizes the intelligentization and safety of the scheduling process.

The invention provides a shared vehicle management method and device, and relates to the technical field of shared vehicle management, and the method comprises the steps: obtaining the position information of a shared vehicle in response to a vehicle returning request sent by a user terminal; determining a current parking point and the type of the parking point based on the position information; judging whether the user level corresponding to the user terminal is matched with the type of the parking spot; and if yes, feeding back prompt information of successful vehicle returning to the user terminal. According to the shared vehicle management method and device provided by the invention, the user needs to return the vehicle in the parking spot matched with the user grade, the user can be effectively guided to return the vehicle in the planned parking spot normatively, the scheduling cost caused by blind parking is further reduced, and meanwhile, based on the user grade and the type of the parking spot, the user experience is improved. In addition, the method can effectively improve the refinement level of parking management of shared vehicles, reduces the management cost, provides differentiated services for users of different user levels, and remarkably improves the operation efficiency and user satisfaction.

The invention discloses a rural light-biogas virtual power plant energy optimization operation method and system considering energy storage degradation. The method comprises the steps that an energy storage degradation cost model and virtual power plant basic operation constraints are established; the virtual power plant upper layer model prediction control layer considers the dynamic energy storage degradation cost, the electricity purchasing and selling cost and the total operation and maintenance cost to carry out virtual power plant energy operation optimization, and an upper layer optimization scheduling instruction is obtained; and inputting into a lower-layer model prediction controller, comprehensively considering deviation cost and energy storage scheduling cost of an upper-layer reference value to carry out source load power fluctuation stabilization to obtain a lower-layer operation result, and feeding back the lower-layer operation result to an updated upper-layer model prediction control layer to carry out virtual power plant energy loop iteration operation optimization. According to the method, the rural photovoltaic and biogas resources are flexibly adjusted, the method is suitable for a rural power distribution network to which a large number of renewable energy sources are accessed, and the average degradation cost of an energy storage battery and the average operation cost of the system are reduced on the premise of efficiently absorbing new energy.

The invention belongs to the technical field of power systems, and discloses a source-load-storage multi-element resource access regulation and control method, system and device and a medium, and the method comprises the steps: obtaining the adjustment characteristics of a source-load-storage adjustable resource through analyzing the adjustment mechanism of the adjustable resource; constructing a unified access scheduling architecture of the source-load-storage multi-element adjustable resources; determining an access demand of the source-load-storage multi-element adjustable resources according to the unified access scheduling architecture of the source-load-storage multi-element adjustable resources; and establishing a comprehensive cost and adjustment performance priority model based on the topological structure of the source-load-storage multi-element adjustable resources, and solving the comprehensive cost and adjustment performance priority model through a multi-target particle swarm optimization algorithm to obtain the optimal adjustment quantity of each adjustable resource of the source-load-storage. According to the invention, unified resource scheduling and management are realized, the resource access efficiency and supply stability are improved, large-scale access and optimal regulation and control of multi-element adjustable resources are also realized, the resource utilization efficiency is improved, and the scheduling cost is reduced.

The present invention relates to a vehicle-mounted edge server scheduling method, system and storage medium for minimizing the number of vehicle-mounted edge servers, and relates to the field of mobile edge computing. The method comprises: obtaining a set of regions and warehouses, establishing a network model; determining the total energy consumption of the vehicle-mounted edge servers in the warehouse in the driving path, establishing a problem of minimizing the number of vehicle-mounted edge servers; optimizing and solving the problem of minimizing the number, determining a scheduling scheme for the vehicle-mounted edge servers, and scheduling the vehicle-mounted edge servers in the warehouse according to the scheduling scheme. The method can realize dynamic scheduling of vehicle-mounted edge servers as well as scheduling flexibility and balance, reduce the number of vehicle-mounted edge servers, save the scheduling cost of vehicle-mounted edge servers, and solve the problem of resource waste and shortage caused by statically deploying edge servers in mobile edge computing scenarios.

The application belongs to the technical field of power systems and discloses a power distribution network distributed resource optimization aggregation method based on an ant colony simulated annealing algorithm; the method first acquires parameters of distributed energy in a virtual power plant, constructs an objective function with the aim of minimizing the total cost of the virtual power plant, sets a constraint condition, and finally solves the objective function by combining an ant colony algorithm and a simulated annealing algorithm to output an optimal solution, namely, an optimal aggregation method of the distributed resources of the power distribution network; the application can jump out of the trap of a local optimal solution, enhance the global search capability, improve the convergence speed, and significantly improve the probability of finding a global optimal solution; the cooling strategy of the simulated annealing algorithm accelerates the late convergence, the pheromone mechanism of the ant colony algorithm strengthens high-quality solutions, and the cooperation of the two can improve the economy and stability of the scheme; by setting the constraint, the aggregation scheme can meet various operation requirements, reduce the scheduling cost, improve the resource utilization rate, realize the efficient utilization and optimal allocation of resources, and the like.

The application discloses a multi-type load power grid low-carbon optimal scheduling method and system, which comprises the following steps: firstly, a load scheduling model is constructed with the target of maximum new energy consumption in a region; then, the load scheduling model is solved to obtain the regional load scheduling power in each period in a scheduling period; then, based on the regional load scheduling power required in each period in the scheduling period, the scheduling cost and carbon emission of the regional residential load, commercial load, industrial load and electric vehicle adjustable load are comprehensively considered to establish a multi-type load power grid low-carbon scheduling model; finally, the multi-type load power grid low-carbon scheduling model is solved to obtain a multi-type load power grid low-carbon scheduling scheme. The application comprehensively considers the scheduling characteristics of the multi-type load such as the residential load, commercial load, industrial load and electric vehicle adjustable load and the time-space variation of the power grid node carbon emission factor, and takes the new energy consumption as the target, so that the power grid scheduling cost and the regional power grid carbon emission are reduced.