基于風(fēng)險(xiǎn)控制的PSCOPF改進(jìn)模型及交替迭代算法
[Abstract]:Low computational efficiency and conservative results are two key problems in the application of traditional preventive safety constrained optimal power flow (PSCOPF). In order to solve these problems, an improved model with controllable risk degree and alternating iterative algorithm are proposed. According to the characteristic of deviation in actual operation control of power system, the deviation quantity is introduced on the basis of generator active power and reactive power source voltage etc. Taking the sum of squares of the deviation as a comprehensive risk index, a voltage complementary constraint is constructed, and the original large-scale PSCOPF problem is decomposed into two sub-problems: the PSCOPF with fewer faults and the constrained power flow. The uncontrollable failure set and controllable fault set are obtained by alternating iteration among sub-problems, and the solution of the whole problem is obtained. The test results of IEEE 118300-node standard system and a 703-node practical system show that the proposed system has an uncontrollable fault set and a set of controllable faults. The proposed model and algorithm have good economy and high computing efficiency without reducing the security of the system. Compared with the traditional centralized computing method, the memory consumption can be reduced by 80%, and the effect of serial and parallel acceleration is 5 times and 10 times respectively.
【作者單位】: 廣西大學(xué)廣西電力系統(tǒng)最優(yōu)化與節(jié)能技術(shù)重點(diǎn)實(shí)驗(yàn)室;
【基金】:國(guó)家重點(diǎn)基礎(chǔ)研究發(fā)展計(jì)劃(973計(jì)劃)資助項(xiàng)目(20-13CB228205) 國(guó)家自然科學(xué)基金資助項(xiàng)目(51167001)~~
【分類號(hào)】:TM744
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