46 results about "Transmission network planning" patented technology

The invention relates to a method for programming a transmission network based on a determinacy two-layer programming mode. The programming mode takes a transmission network investment cost as an economy target, and takes load shedding sum of a regular operation and a single fault operation of the system as a reliability target. An underlayer target is the reliability target; an underlayer restriction is an operation restriction of the regular operation and the single fault condition of the system; an upperlayer gives priority to the economy target; the underlayer reliability target is added to the upperlayer target in a way of penalty function, and the upperlayer restriction is an awaiting frame line number restriction. An improved arithmetic mixed with a niche genetic algorithm with a primal-dual interior method together is adopted to calculate the mode; the niche genetic algorithm is used for processing a integer variable of the upperlayer programming and has a global optimization; the primal-dual interior method is adopted to have a quick calculation to improve the arithmetic speed and a convergence. The invention is able to add the reliability issue to the economy programming in a restriction way and realize an economy optimization of the programming proposal under a high reliability condition.

The invention discloses a transmission network planning method considering flexible supply-demand balance, which comprises the following steps: according to flexible demand and supply under differenttypes and time scales, an evaluation index of power system flexibility considering supply-demand balance being established; based on the evaluation index of power system flexibility, considering economy, reliability and security, a bilevel transmission network expansion planning model being established; based on the bilevel expansion programming model of transmission network, the transmission network being planned. The method effectively solves the problem that the discarding of renewable energy in current system is seriously disjointed with the construction of power source and the planning ofpower network, at the same time, the invention can effectively solve the problem of economical and safe transmission of renewable energy pow generation in a high-proportion renewable energy system, can make scientific and effective guidance for grid planning work, and finally realize the optimization of resource utilization and the maximization of social benefit.

The invention relates to an LCC theory-based method of comprehensive evaluation of a transmission network planning scheme. The method is characterized in that the method comprises the following steps that: step 1.1, according to power grid data published by an electric power company, calculation is respectively carried out on risk indexes Rs, efficiency indexes Es and LCC indexes Cs of N transmission network planning schemes by employing different computing methods; step 1.2, the risk indexes Rs, the efficiency indexes Es and the LCC indexes Cs of the N transmission network planning schemes are respectively substituted into a formula (1) to obtain N composite indicators RECs, wherein the formula is: REC= R + E + C (1) and the risk indexes Rs, the efficiency indexes Es and the LCC indexes Cs are obtained by the step 1.2; and step 1.3, comparison is carried out on the N composite indicators RECs that are obtained by the step 1.2; and a scheme that is corresponded to a composite indicator REC with a minimum numerical value is an optimum scheme and a scheme that is corresponded to a composite indicator REC with an infinite numerical value is an ineffective scheme. According to the invention, economy and technique rationality of a transmission network planning scheme as well as an influence on the environment can be evaluated comprehensively; and coordination optimization of the transmission network planning in the aspects of economy, technology and environmental protection can be realized.

The invention relates to a transmission network planning method and a transmission network planning system. The method is characterized by comprising the following steps: the line load rate of each line of the transmission network is determined, wherein the line comprises a power transmission out line and a main grid obtained after the line of the transmission network is divided according to the network structure and the transmission features of the line; through weighting of the line load rate of each line of the transmission network and the corresponding weight of each line, the overall operation efficiency of the transmission network is obtained; and according to the overall operation efficiency of the transmission network, the construction and investment cost of the transmission network, the operation cost of the transmission network and the wind curtailment loss cost, a transmission network planning scheme is determined. Compared with the traditional transmission network planning scheme, the transmission network planning scheme planned by adopting the method is more rational in structure and planning, the problem of serious wind curtailment loss brought by wind power integration can be lessened, the operation efficiency and the economy of the transmission network can be balanced integrally, and the method and the system of the invention can be widely applied to the technical field of power grid planning.

The invention relates to a transmission system planning method using distributionlly robust optimization, and provides a transmission system planning method using distributionlly robust optimization. A transmission network planning scheme which meets the requirements of safe operation of a transmission system under any possible probability distribution realization scenario of wind power and minimizes the investment cost is selected. According to the technical scheme of the invention, the method comprises the following steps: (1) a distributionlly robust chance-constrained optimization model of transmission system planning is established; (2) random variables in the distributionlly robust chance-constrained optimization model are eliminated by making use of the complementary features of S-lemma and the matrix Schur, and the distributionlly robust chance-constrained optimization model is converted into a deterministic model containing a matrix inequality; and (3) the model obtained in step (2) is solved by a genetic algorithm based on linear matrix inequality optimization, and the final transmission system planning scheme is obtained according to the requirements of power system operation. The transmission system planning method using distributionlly robust optimization of the invention is mainly applicable to power grid planning and construction.

The invention provides a power transmission network capacity planning optimization method and system considering multiple fault scenes, and the method comprises the steps: taking the minimum annual comprehensive cost as an optimization target, and constructing a power transmission network robust random optimization planning model considering the multiple fault scenes and the uncertainty of the fault probability; introducing a state variable and related constraints of load shedding punishment generated by a multi-device fault scene into the power transmission network planning model to obtain apower transmission network planning robust optimization model meeting various constraint conditions; the uncertainty part in the constraint condition is determined; and converting a power transmissionnetwork into a double-layer optimization model through duality, solving a subproblem through duality, and finally solving a power transmission network robust stochastic optimization planning model considering multiple fault scenes and fault probability uncertainty by adopting a Benders decomposition algorithm and a mixed integer linear programming algorithm to obtain a planning scheme of the power transmission network.

The invention relates to a multi-stage transmission network planning method based on a bilevel programming model in a low-carbon environment. The method comprises the following steps: dividing multiple stages of a transmission network into a plurality of interrelated single stages in time order; establishing a bilevel programming model of the transmission network after merging all single stages, and the bilevel programming model comprising an upper-layer planning model and a lower-layer planning model; solving the bilevel programming model of the transmission network by adopting a hybrid algorithm of an improved genetic algorithm and an original dual point method, and realizing the multi-stage transmission network planning according to the obtained results. Compared with the prior art, The method provided by the invention has the advantages of effectively combining an energy efficiency grid and the multi-stage transmission network planning, improving the energy utilization efficiency, reducing the power construction investment, ensuring the system planning structure, optimizing the investment and the like.

The invention discloses a method for obtaining optimal planning of the transmission grid under new energy access. The method comprises steps that a transmission network planning model containing the new energy is established; a corresponding transmission network grid structure is established according to individual particles of the EPSO particle swarm optimization algorithm for the transmission network planning model; the transmission grid network structure is repaired to ensure the transmission network grid structure connected; the probabilistic DC power flow method is utilized to obtain thepower flow of each branch of the transmission network grid corresponding to the individual particles, and the individual particles which do not meet constraints of the transmission network planning model are determined; a fitness function value is calculated, and the adaptive strategy is utilized to select the optimal PSO strategy for multiple iterations to obtain the globally optimal individual particles; the globally optimal individual particles are transformed to form an optimal configuration scheme for transmission network planning. The method is advantaged in that the generalization ability and robust performance of the calculation process are enhanced, and the high-precision high-guided optimal configuration scheme for planning of the transmission network grid structure under new energy access can effectively obtained.

The invention discloses a comprehensive evaluation method of a power grid based on asset life cycle. The method comprises the following steps: calculating a Cost of Investment CI in a transmission network planning; calculating a Cost of Operation CO and a Cost of Maintenance CM in the transmission network planning; calculating a Cost of Failure CF in the transmission network planning; calculating a Cost of Decommissioning CD in the transmission network planning; and summarizing a Life Cycle Cost LCC in the transmission network planning. The invention introduces a theory of asset life cycle cost into a power network planning technology, which not just focuses on the initial investment of a planning scheme, but fully considers the costs of the planning scheme in the whole life cycle of planning, construction, operation, maintenance and decommissioning, and accurately reflects the cost expenditure of the planning scheme in each cycle; meanwhile, the comprehensive evaluation method of the power grid based on asset life cycle provided by the invention innovatively considers the influence of power grid reliability on the power grid planning cost, through the establishment of a conversion model of a reliability index and an economic index, the reliability of the power grid is quantified as an economic cost, so that the coordination of economy and reliability of the planning scheme can be realized.

A method for calculating allocated relay resources in optical transmission network planning relates to the field of routing planning algorithms. The method comprises the following steps: taking a source node as an initial node, finding a farthest node that can establish an effective optical channel, allocating a relay in the farthest node, allocating wavelengths for the channel, and then performing iteration by taking the farthest node as the initial node until a target node is reached, wherein the mode of finding the farthest node that can establish the effective optical channel includes thefollowing processes: acquiring available wavelength sets of the initial node, sequentially calculating intersections of the available wavelength sets that pass through a link between two adjacent nodes until a result is empty or an optical signal to noise ratio (OSNR) of a path from the initial node to the current node is less than a preset threshold, and then backtracking to a nearest node for allocating the relay. According to the method disclosed by the invention, the calculation efficiency can be improved without generating additional relay resources.

The invention discloses a robust transmission network planning method of considering a demand response and N-1 expected failures. The power flow level of a whole network is reduced by adopting the demand response through collecting conventional technical parameters of a main network, obtaining historical data of renewable energy output and considering the renewable energy output uncertainty and power flow off-limit caused by the N-1 expected failures, and the line construction requirements of a transmission network are reduced. According to the robust transmission network planning method, an extreme scene set is generated according to extreme values of the historical data of renewable energy output, the proposed model is solved by adopting mixed integer programming, and a transmission network planning scheme capable of meeting the system security requirements under all extreme scenes is obtained through optimization. The line construction cost and the demand response cost can be flexibly adjusted through setting reasonable ratios of demand response resources at various load points, and the robustness and the economy of the transmission network planning scheme can be taken into account.

The invention provides a transmission network service configuration method and system. The method comprises the following steps: taking an adjacent matrix form and a node form as inputs respectively according to an actual network topology structure and a service requirement of a transmission network; establishing a corresponding mathematical model for a transmission network service configuration problem based on the inputs of the actual network topology structure and the service requirement of the transmission network according to a requirement for planning and designing the service configuration of the transmission network; solving the mathematical model in combination with a graph-theoretical algorithm based on the mathematical model of the service configuration planning and designing problem of the transmission network to obtain an optimal service configuration scheme as output; planning and designing the optimal scheme for configuration of the transmission network according to the output of the optimal service configuration scheme. According to the method and the system, the transmission network service configuration problem is processed in a mathematical optimization form, the complex service configuration is simplified, the complexity of the configuration processing is greatly reduced, the accuracy is improved, and the optimal solution can be efficiently and quickly discovered each time to realize optimal configuration of the transmission service.

A transmission network planning method considering load transfer capability of distribution network is presented. The method first constructs the initial model of the transmission network planning considering the ground state and the N-1 expected fault according to the conventional technical parameters of the main network, and establishes a load transfer model, and then the load transfer model iscombined with the initial model of the transmission network planning considering the ground state and the N-1 expected fault to obtain the transmission network planning model, and the solver algorithmis used to solve the model at last. This design not only takes into account the safety and economic requirements of the system, but also reduces the difficulty of solving the model.

The invention discloses a transmission network planning method and system. The method comprises the following steps: collecting a physical material of a transmission node, drawing a transmission nodedistribution model including two convergence points, and performing gridding processing and planning area division on the transmission node distribution model; determining a node parameter according to the transmission node distribution model after the planning area division, and determining a network topological structure according to the node parameter. According to the method in the invention,through the networking planning of performing gridding processing on the existing transmission node, the effect of best performance / lowest engineering cost can be reached according to actual needs, the intelligence of the transmission network planning is realized, and the labor cost is reduced.

The invention discloses a transmission network planning progressive optimization method, which comprises the following steps: according to load forecasting values of each time scale in the power network data planning time period, schemes of different forms of power sources in the planning time period, and candidate power network elements and path schemes of the power network planning are planned;an evolutionary optimization model for transmission network planning is built, which takes into account the variable time interval operation and investment coordination in multiple stages of power network development, the objective of the model is to minimize the sum of the investment cost and the operation cost of the transmission network in the planning cycle, and includes constraints; the constraint conditions in the optimization model are transformed into a mixed integer linear programming model which is easy to solve, and the mixed integer linear programming method is used to solve the optimization model, and the final transmission network planning scheme is obtained. The method can be used in transmission network planning and decision-making under the background of large-scale development of different forms of power generation, is conducive to promoting the coordination of power network planning and operation, and improves the accuracy of power network planning scheme.

The invention discloses a power transmission network planning multi-objective optimization method considering load uncertainty. The power transmission network planning multi-objective optimization method comprises the following steps: (1) load uncertainty modeling; (2) constructing a multi-objective optimization model; (3) solving the multi-objective optimization model; and (4) planning scheme evaluation and decision making. The invention relates to the technical field of power transmission network planning, in particular to a power transmission network planning multi-objective optimization method considering load uncertainty, and the method has the following advantages: 1, the load uncertainty is dealt with, and the planning adaptability is improved; 2, multi-objective collaborative optimization is realized, and comprehensive benefits are improved; and 3, scientific evaluation decision is adopted, and the feasibility of the scheme is enhanced.

The invention discloses a hierarchical decoupling iteration-based power transmission network planning method, system and device and a storage medium, and relates to the technical field of power system planning, and the method comprises the steps: setting a planning target year, a to-be-selected upper-layer backbone network frame line set and a to-be-selected lower-layer regional network frame line set, and initializing an iteration counter; screening faults by using a pre-trained proxy model based on an artificial neural network to form a key fault set of the iteration of this round; outputting a lower-layer area net rack planning sub-problem; outputting an upper-layer backbone net frame planning sub-problem; and judging whether the total system cost of the planning scheme of continuous two iterations converges or not. According to the method, a huge integration problem is decomposed into an upper layer sub-problem and a lower layer sub-problem which are smaller in scale, so that the solving difficulty and time are remarkably reduced. The thought of hierarchical planning conforms to the actual working mode of power grid planning, cooperation of different departments is facilitated, the method is extensible, and a lower-layer regional grid frame can be further subdivided into more levels for planning.

The invention relates to the technical field of communication, and provides a transmission networking planning method and device, electronic equipment, a storage medium and a computer product, and the method comprises the steps: carrying out the clustering of all base stations in a to-be-planned region based on the neighborhood radius and the minimum number of neighborhood base stations, and obtaining a first clustering result; based on the distance between the outlier base station and the adjacent base station in the first clustering result, classifying the outlier base station in the first clustering result to obtain a second clustering result; the second clustering result and the second clustering result both comprise base station clusters and / or outlier base stations; and for each base station cluster and the outlier base stations in the second clustering result, transmission networking planning is carried out to obtain a transmission networking path. According to the method, transmission networking planning is carried out after clustering of the total base stations and classification of the outlier base stations are completed, the situation that a large number of BBUs are concentrated in some base stations and the number of the BBUs in other base stations is too small when the information source points are manually and randomly selected can be avoided, and BBU stacking number balance is achieved.

A calculation method for allocating relay resources in optical transmission network planning, involving the field of routing planning algorithms, including: using the source node as the starting node, finding the farthest node that can establish an effective optical channel, and configuring the relay at the farthest node And allocate a wavelength to the effective optical channel, and then iterate with the farthest node as the starting node until reaching the target node; among them, the way to find the farthest node that can establish an effective optical channel is to obtain the available wavelength set of the starting node , the intersection of the available wavelength sets passing through the link between two adjacent nodes is performed sequentially, until the result is empty or the optical signal-to-noise ratio OSNR of the path from the starting node to the current node is less than the preset threshold, then backtrack to the nearest used Configure relay nodes. The present invention improves calculation efficiency without generating additional relay resources.

The invention discloses a confidence capacity assessment method of an energy storage and generation system of wind power. The confidence capacity assessment method is applied to power transmission network planning comprising the wind power and energy storage, and can be used for calculating the confidence capacity of the specific input wind power easily and conveniently through the secant method and estimating the confidence capacity of the specially-assigned energy storage system of the wind power accurately with the strategy of binding energy storage and the wind power considered from the perspective of the confidence capacity. According to the confidence capacity assessment method, the capacity assignment problem of the energy storage and generation system of the wind power in the transmission network planning can be solved, construction of a wind power plant can be simplified as much as possible under the condition of meeting the load requirement, and important reference meaning to the transmission network planning is achieved.

A transmission network planning method considering the load transfer capacity of the distribution network. This method first builds an initial model of the transmission network planning considering the ground state and N-1 expected faults according to the conventional technical parameters of the main network, and establishes a load transfer model, and then The transmission network planning model is obtained by combining the load transfer model with the initial model of transmission network planning considering the ground state and N-1 expected faults, and finally the solver algorithm is used to solve the model. This design not only takes into account the requirements of system security and economy, but also reduces the difficulty of solving the model.

The invention relates to a transmission network planning method based on a deterministic two-layer planning model. The planning model takes the investment cost of the power grid as an economical target, and takes the sum of load shedding of the system under normal and single-fault operation conditions as a reliability target. The lower-level goal is the reliability goal, and the lower-level constraints are the normal operation constraints of the system and the operation constraints under single-fault conditions; the upper-level objectives are mainly economical objectives, and the lower-level reliability objectives are added in the form of penalty functions, and the upper-level constraints are the lines to be erected Quantity constraints. The hybrid algorithm combining the improved niche genetic algorithm and the primal-dual interior point method is used to solve the model, and the niche genetic algorithm is used to process the integer variables of the upper-level planning for global optimization; the lower-level planning is carried out using the primal-dual interior point algorithm. Fast solution, improve algorithm speed and convergence. The invention adds the reliability problem into the economical planning with constraints, and realizes the optimal economical efficiency of the planning scheme under the condition of high reliability.

The invention belongs to the field of power system optimization, particularly relates to a transmission and storage collaborative double-layer robust planning method considering line load rate constraints, and aims to effectively meet the planning requirements of a power transmission network in a complex scene. The method comprises the steps that a K-means scene clustering method is adopted for photovoltaic output historical data and load historical data, a representative first-class typical feature scene and initial probability distribution thereof are generated, and a scene clustering method is adopted for the annual operation condition of a power transmission network, and a representative second-class typical feature scene is extracted. And constructing an upper-layer power transmission network planning model and a lower-layer operation scheduling model. Constructing a distributed robust planning model, introducing a duality theory and a column and constraint generation algorithm, converting the double-layer planning model into a single-layer planning model, and solving the single-layer planning model through an iteration mode / carrying out example simulation based on a 24-node power transmission system. And verifying the effectiveness of the method for dealing with the photovoltaic output and load uncertainty and reducing the overload risk of the power transmission line.

The invention discloses a method for planning a government-enterprise transmission network based on a quasi-rectangular distribution model combined with a thermal map. Including setting the maximum coverage of network points, building a quasi-rectangular distribution model; obtaining demand point coverage, and calculating the minimum number of deployment points required to meet demand point coverage according to the relationship between demand point coverage and point area coverage . Combining the thermal map of the point distribution to optimize the points in the hotspot area, calculate the actual point coverage; judge the deviation between the actual point coverage and the demand point coverage, and use the optimal point as the transmission when the deviation meets the set conditions Network planning and deployment points. The present invention can deploy points in advance before the actual business is triggered, and perform high-level network deployment in advance for business-intensive areas, and then deploy the bottom-level network based on the customer's actual business needs when the business is triggered, realizing accurate and rapid network construction , shorten the network construction cycle, and realize rapid service provisioning.

The present invention provides a transmission network service configuration method and system, wherein the method includes the steps of: according to the actual network topology structure and service requirements of the transmission network, using the adjacency matrix and node form as input respectively; based on the network topology structure of the transmission network and For the input of service requirements, according to the service configuration requirements of the planning and design transmission network, a corresponding mathematical model is established for the service configuration problem of the transmission network; based on the mathematical model of the service configuration problem of the transmission network planning and design, the mathematical model is solved in combination with a graph theory algorithm, The optimal service configuration scheme is obtained as an output; according to the output of the optimal service configuration scheme, the optimal scheme for the configuration of the transmission network is planned and designed. The invention handles the transmission network service configuration problem in the form of mathematical optimization, simplifies complex service configuration, greatly reduces the complexity of configuration processing, and improves accuracy, and can find the optimal solution efficiently and quickly every time , to achieve the optimal configuration of the transmission service.

The present invention discloses a method and system for optimizing a transmission planning candidate set based on redundant constraint identification. The method is used to obtain a minimum-scale candidate line set that meets planning requirements, thereby reducing the solution space for subsequent calculations of transmission network planning problems and improving computational efficiency. First, the grid connectivity is checked. Then, based on the redundant constraint identification method, lines are added to the test grid to obtain an initial optimized candidate line set. Finally, based on the redundant constraint identification method, lines are reduced and corrected to the test grid to obtain a minimum-scale transmission planning candidate line set. The present invention does not require additional optimization problems to be solved and is highly efficient for formulating candidate line sets for complex, large-scale power system transmission planning.

The invention provides a multi-stage power transmission network planning method and system considering the flexibility of a thermal power generating unit. Based on the time value of funds, time sequence characteristics of load, wind power and the like are considered, a multi-stage power transmission network planning optimization model considering the flexibility transformation of the thermal powergenerating unit is constructed, a mixed integer nonlinear constraint condition in the optimization model is converted into a mixed integer linear constraint condition, and the converted mixed integerlinear planning model is solved by adopting a mixed integer linear planning method, thereby obtaining a multi-stage joint decision scheme of thermal power generating unit flexible transformation andpower transmission network planning, and improving the economy of power system planning operation investment.

The invention relates to the technical field of route planning algorithms, and provides a mutual exclusion group service route calculation method and device in optical transmission network planning. The method comprises the following steps: finding out front ki shortest paths of all services, and grouping at least two services of mutually exclusive routing to be analyzed; generating at least two two-dimensional matrixes corresponding to the group according to the routing information of the first ki shortest paths of the service; obtaining a transposed matrix of the second two-dimensional matrix, and carrying out multiplication operation on the first two-dimensional matrix and the transposed matrix of the corresponding second two-dimensional matrix; and finding out disjoint paths between the first group and the second group through a result matrix according to the result matrix obtained by the multiplication operation. According to the method, the problem of path and resource allocation of mutually exclusive group services in the optical transmission network is solved, disjoint paths in all the first ki shortest paths can be solved, and the theoretical and physical significance is relatively obvious.

This application provides a two-layer planning method and system for power transmission networks that considers operational flexibility, relating to the field of power system transmission network planning technology. The two-layer planning method constructs a two-layer planning model for the transmission network that considers operational flexibility: the upper-layer model is the decision-making layer for the capacity of newly built generating units and transmission lines, and transmits the decision results to the lower-layer model. The lower-layer model constrains the system's operational flexibility, feeding back load shedding, load loss, and insufficient operational flexibility to the upper-layer model to optimize line capacity and the results of newly built generating units. In this way, the impact of power system operational flexibility on transmission network planning is considered, and line capacity is corrected through load shedding. This ensures the operational flexibility of the power system in transmission network planning under high wind power integration, thereby improving the transmission network's ability to cope with net load fluctuations under high wind power integration.