Distributed electro-thermal coupling system state estimation method considering communication packet loss
A system state and state estimation technology, applied in computing, instrumentation, data processing applications, etc., can solve problems such as long-term convergence conditions, boundary information cannot be received by adjacent areas, communication packet loss, etc.
Active Publication Date: 2020-11-20
SOUTH CHINA UNIV OF TECH
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However, considering the possibility of failure and instability of the communication channel between the power grid and the heating network, the boundary information may not be received by the adjacent area, that is, communication packet loss may occur
At this time, the calculation efficiency of the ADMM algorithm is reduced, and it takes a long time to reach the convergence condition.
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[0037] The present invention will be further described in detail below in conjunction with the embodiments and the accompanying drawings, but the embodiments of the present invention are not limited thereto.
[0038] Such as figure 1 As shown, this embodiment provides a method for estimating the state of a distributed electric-thermal coupling system in consideration of communication packet loss. ) units are connected together, and the state estimation method of the distributed electric-thermal coupling system is based on the R-ADMM algorithm, which specifically includes the following steps:
[0039] S1. Set the number of iterations k=0, the termination condition ε of the original residual of the R-ADMM algorithm res , R-ADMM algorithm dual residual termination condition ε dual And the relaxation parameter α and penalty parameter β of the R-ADMM algorithm, initialize the boundary variables and auxiliary variables of each grid area and heating network area (including the bounda...
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The invention discloses a distributed electro-thermal coupling system state estimation method considering communication packet loss. The method is based on an R-ADMM algorithm, and comprises steps ofS1, setting the number of iterations k = 0, an algorithm termination condition, a relaxation parameter and a penalty parameter of the algorithm, and initializing boundary variables and auxiliary variables of a power grid and a heat supply network; S2, calculating and exchanging boundary information, updating an auxiliary variable according to a communication packet loss condition between adjacentregions, and updating an iteration frequency k=k+1; S3, solving a power grid subproblem and a heat supply network subproblem to obtain corresponding state estimation values; and S4, calculating and judging whether the residual error reaches an algorithm termination condition or not, if so, outputting an optimized state estimation value, and if not, repeating the steps S2 to S4 till the terminationcondition is met. According to the method, the possible communication packet loss condition during boundary information exchange of the power grid and the heat supply network in the state estimationprocess is considered, and the effect of centralized coordination optimization is achieved while the operation independence and information privacy of the power grid and the heat supply network are guaranteed.
Description
technical field [0001] The invention relates to the technical field of electric-thermal coupling system state estimation, in particular to a distributed electric-thermal coupling system state estimation method considering communication packet loss. Background technique [0002] Compared with traditional thermal power units, combined heat and power units are more energy-saving and efficient, and have been widely used in recent years. The electricity-heat coupling system connects the power grid and the heating network through the electricity and heat cogeneration unit. In order to monitor the operating state of the electro-thermal coupling system, it is necessary to perform state estimation on it. In practical applications, the power grid and the heating network are independently operated and managed. Considering the privacy of information, the power grid and the heating network cannot obtain all the measurement data of each other. Therefore, the distributed optimization met...
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IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/06393G06Q50/06Y04S10/50
Inventor 李志刚郑温剑梁芯瑜
Owner SOUTH CHINA UNIV OF TECH