Hybrid parallel dynamic equivalence method for small and medium-sized hydroelectric generator groups

Abstract

The invention discloses a hybrid parallel dynamic equivalence method for small and medium-sized hydroelectric generator groups, and relates to the field of modeling and analyzing of hydroelectric generator groups in a power system. The method comprises a coherency-based equivalence step and an equivalence identification step, wherein the coherency-based equivalence step comprises the steps as follows: coherent generator groups are obtained through coherency identification, and parameters of a network structure, a busbar, an equivalent load and a tie line are obtained through network reduction; and the equivalence identification step comprises the steps as follows: boundary flow matching is achieved by a virtual load identification technology, and model parameters of equivalent generators are identified by a parallel particle swarm optimization algorithm. Introduction of hybrid equivalence and parallel optimization technologies, the equivalent precision and efficiency of the small and medium-sized hydroelectric generator groups are effectively improved. The equivalent model obtained by the method can meet the refined modeling requirements of hydropower energy system simulation, power system analysis and dispatching operation calculation.

Description

technical field [0001] The invention belongs to the field of modeling and analysis of hydroelectric generator groups in electric power systems, and in particular relates to a dynamic equivalent method for small and medium hydroelectric generator groups in electric power systems. Background technique [0002] With the adjustment of my country's energy structure and the vigorous development of hydropower energy, the scale of small and medium-sized hydropower groups connected to the power grid is increasing day by day, and the access methods are becoming more and more complicated. The structure of the power grid has undergone significant changes. influence is growing. Therefore, in the power system analysis, it is necessary to comprehensively consider the influence of small and medium hydropower groups in order to more accurately reflect the dynamic response process of the power system. Since small and medium hydropower groups have the characteristics of small capacity and larg...

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Problems solved by technology

Its shortcomings are: the linearization of the model will produce certain errors during aggregation; it is necessary to obtain all the unit parameters of the waiting fleet, and it is difficult to obtain the initial data when the large-scale fleet is equivalent.

The identification equivalent method can better overcome the shortcomings of the coherent equivalent method, but there are also problems such as complex solution space, low solution efficiency, and low identification accuracy caused by high model parameter dimensions.

[0004] The patent "A Dynamic Equivalence Method for Hydropower Clusters with Generalization Capability" proposes an identification equivalence method with certain generalization capabilities. Since the equivalent generator model is too simplified, it cannot reflect the salient poles of hydropower units well. Transient effects, although the patent "Equivalent Method of Electric Power System Based on Niche Immune Algorithm" adopts a fifth-order generator model that can characterize the salient pole effect of hydroelectric units, and proposes an improved niche identification algorithm, which has achieved good results Equivalent effect, but ignores the equivalent load model, the patent "a small and medium-sized hydroelectric generating set fleet equivalent modeling method" established a fine modeling method for small and medium-sized hydroelectric generating sets, and used the particle swarm algorithm to identify Virtual load parameters make the injection power deviation of boundary nodes the smallest, so as to meet the requirement of consistent power flow of the system before and after the equivalence. However, the equivalence method needs to simulate the inside of the research system during the identification process, and the parallel identification technology cannot effectively solve the identification efficiency. The problem

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