Critical path identification method for distribution network access to distributed generation units based on multi-agent technology
A distributed power generation and critical path technology, applied in the direction of electrical components, circuit devices, AC network circuits, etc., can solve the problems that cannot stop the development of application technology, the limitation of error correction methods, and the deviation of accumulated values, so as to improve the efficiency of power transmission and the effect of using efficiency
Active Publication Date: 2018-05-15
STATE GRID CORP OF CHINA +1
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Problems solved by technology
David P.Chassin, Jason C.Fuller, and Ned Djilaili of the Pacific Northwest National Laboratory in the United States pointed out in the latest research report in 2014 (quoted) that even the simplest binary system model still has problems in practical application: in continuous The numerical integration of time series will lead to cumulative value deviation, and the error correction method has great limitations in practical use
Although there is no unified definition of agent yet, it does not stop the development of this application technology
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[0081] In order to further illustrate the technical means adopted by the present invention and the achieved effects, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings.
[0082] Such as figure 1 As shown, a multi-agent technology-based method for identifying the critical path of distribution network access to distributed generation units includes the following steps:
[0083] Step 1, system initialization: the component agent uploads the information to the corresponding regional agent (Sub_agent), the regional agent uploads the regional information to the upper agent (Upper_agent), and the upper agent obtains the topology structure of the entire network and the information of the component agent; the components here Agent refers to node agent, line agent, transformer agent, DG agent, etc.
[0084] Step 2: Calculate the ground state power flow: the upper agent starts the power flow simul...
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The invention discloses a multi-agent technology-based identification method for critical paths of distributed power generation units accessed to a power distribution network. The method comprises the following steps: (1) initializing a system; (2) carrying out ground-state power flow calculation; (3) obtaining a fan access scene; (4) carrying out power flow calculation under different scenes; and (5) carrying out critical paths identification. The positions and the capacities of access nodes of distributed power generation units are determined by a multi-agent technology; the power distribution network after the distributed power generation units are accessed is simulated by a communication mechanism among multiple agents; the key indicators of the power distribution network are calculated; and overall evaluation is carried out on power distribution lines and the node criticality. Overall evaluation is carried out on the influence on the power distribution network after the distributed power generation units are accessed to the power distribution network by the multi-agent technology; the critical paths in the power distribution network after fans are accessed are identified; and the installed capacities and the positions of the distributed power generation units are guided.
Description
technical field [0001] The invention relates to the field of multi-agent communication modeling of smart grid technology, in particular to a method for identifying a critical path of distribution network access to distributed power generation units based on multi-agent technology. Background technique [0002] Active Distribution System (ADS) combines various factors such as distributed power, energy storage, electric vehicles and demand response. Compared with the passive power distribution network, the ADS network contains a large number of units with strong random fluctuation characteristics, including wind power and photovoltaics. Therefore, although the ADS has completed the transformation from "passive control" to "active control", the network It also has strong random, fluctuating and unpredictable characteristics. In addition, the addition of energy storage (including electric vehicles) and flexible loads brings more flexible controllable methods and a wider adjustm...
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IPC IPC(8): H02J3/00H02J3/38
CPCH02J3/00H02J3/38H02J2203/20
Inventor 于秋玲卢丹周楠张琳娟
Owner STATE GRID CORP OF CHINA