Scheduling optimal configuration method for smart grid
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Al technical title is built by PatSnap Al team. It summarizes the technical point description of the patent document.
A smart grid, optimized configuration technology, applied in instruments, data processing applications, forecasting, etc., can solve the problems of "information overload, untimely fault recovery, delayed decision-making, etc., to reduce work difficulty and workload, accuracy and efficiency. The effect of high and accelerated construction speed
Inactive Publication Date: 2014-05-28
CHINA ENERGY ENG GRP GUANGDONG ELECTRIC POWER DESIGN INST CO LTD
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Problems solved by technology
During the operation of the smart grid, when a large amount of complex and redundant information continues to increase and exceeds the range that individuals or systems can accept, process or effectively use, because these information cannot be integrated, organized and internalized in a timely and effective manner. The information required for monitoring and managing the power grid is likely to cause delays in decision-making, and it is impossible to dispatch electric energy in time, resulting in grid failures and untimely recovery of faults, which brings great inconvenience to people's lives and industrial production.
[0005] Dealing with the massive data of the smart grid with the existing technical means is likely to cause the problem of "information overload"
"Information overload" refers to the large, complex, redundant and increasing information in the smart grid that exceeds the range that individuals or systems can accept, process or effectively use, and these information cannot be integrated, organized and internalized in a timely and effective manner. The information needed to monitor and manage the power grid will cause delay or error in decision-making, and may lead to failure of the power grid or untimely recovery of the fault
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specific Embodiment 1
[0050] This embodiment relates to a scheduling optimization configuration method for a smart grid, which is characterized in that it includes the following steps:
[0051] 1) Establish an equivalent model
[0052] Take the district as the unit, determine the number and location of power supply stations through the power supply bureau, and connect the two stations with straight lines to form a power supply model of undirected weighted stations;
[0053] 2) Calculate model parameters
[0054] According to the undirected weighted power supply model formed in step 1), the distance between each two power stations is used as a parameter, and the AC power loss per kilometer is calculated at 0.05kVA, and the power loss matrix table between each two power stations is produced;
[0055] 3) According to the power loss matrix table made in step 2), use the Dijkstra algorithm to simulate the allocation of smart grid resources;
[0056] 4) Use the ant colony algorithm to visualize the pow...
specific Embodiment 2
[0079] This embodiment is also aimed at five substations in a certain district of a city, namely Mudan substation, Jinqiao substation, Linyi substation, Beicai substation and Jinxiangnan substation.
[0080] This embodiment includes the following steps:
[0081] The first step is to establish an equivalent model. This program will establish five power stations, and a connection will be established between every two power stations, which will be abstracted into an undirected weighted graph with five nodes and ten sides.
[0082] The second step is to calculate the model parameters.
[0083]In the figure, the distance from Mudan Substation to Jinxiangnan Substation is about 27 kilometers, and the calculation is based on the AC power loss of 0.05kVA per kilometer. Since the distance is relatively short, for the convenience of calculation, we approximate the loss as linear. Voltage loss per kilometer:
[0084]
[0085] The loss matrix A of the mutual power supply of the five...
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Abstract
The invention relates to a scheduling optimal configuration method for a smart grid. The scheduling optimal configuration method for the smart grid is characterized in that the method comprises the following steps that: 1) an equivalent model is established, and with districts adopted as the unit, the number and locations of power supply power stations are determined by a power supply bureau, and the power stations are connected with each other in pairs through straight lines, such that an undirected weighted power station power supply model can be formed; 2) model parameter calculation is performed: according to the undirected weighted power station power supply model formed in the step 1), with distances between every two power stations adopted as parameters, calculation is performed according to a situation that AC power loss is 0.05kVA per km, such that a power loss matrix table between every two power stations can be made; 3) according to the power loss matrix table made in the step 2), a Dijkstra algorithm is adopted to perform smart grid resource scheduling simulation; 4) an ant colony algorithm is adopted to perform visualization calculation on the power loss matrix table made in the step 2) and perform simulation analysis on smart grid resource scheduling; and 5) a scheduling optimal configuration method for the smart grid is determined according to the step 3) and the step 4). With the scheduling optimal configuration method for the smart grid of the invention adopted, the quantity of calculation can be decreased, and acceptable scheduling configuration schemes can be obtained fast. The scheduling optimal configuration method for the smart grid has the advantages of fast convergence and high efficiency.
Description
technical field [0001] The invention relates to a scheduling optimization configuration method of a smart grid, which is an optimal configuration method for realizing smart grid monitoring and scheduling based on Dijkstra algorithm and ant colony algorithm, and belongs to the technical field of smart grid configuration and scheduling of power systems. Background technique [0002] The smart grid is the intelligence of the power grid, also known as "grid 2.0", it is based on an integrated, high-speed two-way communication network, through advanced sensing and measurement technology, advanced equipment technology, advanced control methods And the application of advanced decision support system technology to achieve the goal of reliability, safety, economy, efficiency, environmental friendliness and safe use of the power grid. Its main features include self-healing, incentives and user inclusion, defense against attacks, and provision to meet the needs of users in the 21st centu...
Claims
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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06
CPCY02E40/70Y04S10/50
Inventor 吴丹陈志坚解文艳吉小恒刘政哲盛斌
Owner CHINA ENERGY ENG GRP GUANGDONG ELECTRIC POWER DESIGN INST CO LTD
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