7 results about "Comprehensive planning" patented technology

The invention discloses an AC / DC power distribution network equipment configuration and SOP site selection double-layer planning method considering cluster division and a related device. The method comprises the following steps: constructing an upper-layer planning model taking minimization of comprehensive planning cost and optimization of cluster comprehensive performance as objective functions; an improved SRA algorithm is adopted to solve the upper-layer planning model, and collaborative optimization of equipment configuration and cluster division is achieved; according to equipment configuration and a cluster division scheme, constructing a lower-layer planning model taking maximized reduction of transmission loss as an objective function; solving the lower-layer planning model by adopting a second-order cone relaxation method, and outputting an SOP site selection scheme; and inputting the SOP site selection scheme into the upper-layer planning model, solving the upper-layer planning model by adopting an improved SRA algorithm, and outputting an updated equipment configuration and cluster division scheme, so that joint decision and overall optimization of equipment configuration, cluster division and SOP site selection are realized, and the cluster autonomous capability, operation stability and economical efficiency of the AC / DC power distribution network system are improved.

The invention discloses a deterministic planning extension method and system for optimizing an embedded flexible AC / DC power grid, and relates to the technical field of power systems. The method comprises the steps of evaluating the load bearing capacity and growth trend of power grid nodes; the sum of alternating current / direct current construction cost, power generation cost and load shedding cost is taken as an optimization target; establishing a power relationship by adopting a direct-current power flow model; constructing a constraint condition set covering alternating-current and direct-current power balance, equipment capacity, topological association and the like; and solving step by step to generate a comprehensive planning scheme. The system is correspondingly provided with an evaluation module, a target module, a modeling module and the like, and a cost calculation and model verification module is additionally arranged to improve the accuracy. According to the invention, alternating current and direct current collaborative optimization is realized, the problems of single target and incomplete constraint of traditional planning are solved, and the economical efficiency, reliability and feasibility of power grid planning are improved.

This invention belongs to the field of electrical engineering technology, specifically relating to a comprehensive planning method and system based on mobile hydrogen energy storage vehicles and energy storage power stations. The method first constructs a spatiotemporal interaction model—an electro-hydrogen energy model. Then, based on this model, a two-stage comprehensive capacity planning model is built. In the two-stage comprehensive capacity planning, the planning stage model is constructed with the objective of minimizing the sum of system operating costs and energy storage construction costs, while the operation stage model is constructed with the objective of minimizing system operating costs. Finally, the two-stage comprehensive capacity planning model is solved to obtain the optimal energy storage planning scheme, which includes the number of mobile hydrogen energy storage vehicles, the construction location and capacity of the energy storage power station. This invention, through the spatiotemporal interaction model—an electro-hydrogen energy model, enables more accurate comprehensive planning of mobile hydrogen energy storage vehicles and energy storage power stations, reducing the total energy storage construction cost while ensuring system operational reliability.

The invention provides a meteorological-driven multi-system collaborative robust planning method and electronic equipment, and relates to the technical field of energy low-carbon transformation planning. The method comprises the following steps: constructing an ecological-electric power-industry collaborative energy low-carbon transformation planning framework; wherein the energy low-carbon transformation planning framework comprises a planning layer and an operation layer; the planning layer plans the new energy equipment construction capacity and position of the system, the gradual decommissioning plan of the thermal power generating unit and the ecological carbon sink area to obtain a comprehensive planning quantity; the operation layer establishes an ecological-electric power-industry economic development collaborative low-carbon planning robust model, divides a main problem and a sub-problem of the low-carbon robust planning model, and solves a dual sub-problem model based on a comprehensive planning amount to find a severe meteorological scene; and solving an optimal solution set of the system through iterative convergence of the main problem and the sub-problems, and obtaining a multi-system collaborative robust planning operation scheme according to the optimal solution set of the system. The method is suitable for low-carbon transformation requirements including industrial transformation.

The invention discloses an agricultural integrated energy park optimization control method considering environmental capacity constraints, which optimizes a multi-energy scheduling strategy and improves energy utilization efficiency. The method comprises the following steps: firstly, constructing a multi-energy system operation control and pollution emission model, quantifying the influence of pollution emission on the environment, introducing environment capacity constraint, and evaluating and dynamically adjusting an energy scheduling strategy in real time; and then, proposing an optimization control model based on a fuzzy membership degree, and processing a nonlinear relationship between agricultural production requirements and energy supply by adopting a fuzzy theory. Secondly, providing a comprehensive planning method based on environmental capacity evaluation, and solving a long-term energy configuration scheme by adopting dynamic planning; and finally, proposing an optimization control model based on data driving, predicting an energy demand and a pollution emission trend by adopting a deep learning algorithm, dynamically adjusting an operation strategy, and ensuring efficient operation of the system under the constraint of the environmental capacity. According to the invention, energy-environment collaborative management can be realized, the operation efficiency is improved, and sustainable development is promoted.

The invention relates to the technical field of landscape area planning design and data analysis, and discloses an intelligent landscape area planning design method based on data analysis. The method comprises the steps of collecting multi-source data of a landscape area, analyzing and extracting elements such as terrain elevation, vegetation coverage, water body distribution and a building outline, converting the elements into a standard format and establishing association, and generating a landscape basic data set; and querying a planning rule base by using the data set, matching landscape types and planning constraint rule entries, calculating a rule application complexity value, judging a data coincidence state, and performing single planning compliance evaluation. A plurality of landscape basic data sets are integrated, shared entities among different planning projects are found, the association strength level among the projects is calculated, and a multi-project association graph is constructed; and calculating a risk value based on the multi-project association graph and single-project planning compliance assessment, and generating a comprehensive planning risk prompt. Through data analysis, the scientificity and compliance of landscape area planning and design and the collaboration among multiple projects are improved.

This invention relates to the field of intelligent manufacturing, specifically to an automatic planning method, system, device, and storage medium for aircraft aperture projection positions. The method includes the following steps: determining the placement area of ​​the projector; setting optimization target parameters; initializing optimization units; evaluating the aperture coverage, aperture quality, precision, projection utilization, and comprehensive planning results for each optimization unit; determining whether the optimization target is met; if not, optimizing each unit based on the comprehensive evaluation score using an optimization strategy, and resubmitting the optimized results, iterating until the algorithm's stopping condition is met. This invention provides an automatic projection position planning method by evaluating indicators such as aperture coverage, global aperture projection quality, image precision, and projector utilization, combined with an optimization algorithm, ensuring full aperture coverage, high-quality projected images, and a minimum number of projectors after planning.