New information technologies for state estimation of power systems with FACTS

Bartolomey, P. I.; Eroshenko, Stanislav A.; Lebedev, Egor; Suvorov, A. A.

doi:10.1109/isgteurope.2012.6465686

Cited by 17 publications

(5 citation statements)

References 14 publications

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“…The set, containing other buses, is referred to as . For the case, presented in Figure 1, (1, 2, 4, 9,10), p  (3,5,6,7,8,11,12,13,14) q  . The electric current phasor measurements of the branches, which are incident to PMU-equipped buses, are not used, because in case of their fault, the observability of the power system may be lost.…”

Section: Accelerated Steady-state Power Flow Calculation Using the Pmmentioning

confidence: 99%

“…An interesting result was obtained for IEEE-57 test network [15]. The set (1,3,4,6,7,9,10,11,12,14) p  includes 10 measurements ( dim( ) 10 p  ), which is less than resulting amount of PMUs from other existing PMU placement algorithms А4 [11], A5 [3], A6 [13], A7 [12]. The comparison is presented in Table 1.…”

Section: Pmu Devices Number Minimizationmentioning

confidence: 99%

“…Firstly, this refers to online equivalent circuit parameters identification, taking into account FACTS and other shunt and series compensation equipment of power transmission lines [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

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PMU-based informational support of power system control tasks

Bartolomey¹,

Eroshenko²,

Semenenko³

et al. 2014

WIT Transactions on Ecology and the Environment

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Up-to-date wide area measurement systems (WAMS) based on phasor measurement units (PMU) appeared at the very end of the 20 th century. Under present-day conditions, WAMS serve as the basis for information-measuring systems, which significantly improve power system control and operation. In practice, WAMS are mostly used for power system stability control and transient monitoring and visualization. This paper discusses the new opportunities for power system control quality improvement, resulting from PMU application for power system steady-state parameters' assessment. Firstly, better control is provided by online equivalent circuit parameters' identification using PMU measurement data and taking into account FACTS and other shunt and series compensation equipment. Secondly, the paper addresses the problems of "nodal" identification, which have taken on great importance recently due to the intensive development of small-scaled distributed generation. Based on PMU measurements of nodal voltages and incident transmission lines' electric currents, one can obtain online steady-state load characteristics, which can be used for dispatch control applications. Moreover, PMUs provide superaccelerated power flow calculations, which are of crucial importance for emergency automation, adjusted for prior operation. Such principles of emergency automation consist of the quick determination of control actions, aimed at power system stability maintenance in cases of any programmed faults' occurrence. It is known that such control is carried out by means of power flow calculations based on remote metering data. The proposed application and allocation of PMUs in the power system by means of combinatorial matrix transformation to triangle form give the possibility to perform accelerated node

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Section: Accelerated Steady-state Power Flow Calculation Using the Pmmentioning

confidence: 99%

Section: Pmu Devices Number Minimizationmentioning

confidence: 99%

See 1 more Smart Citation

PMU-based informational support of power system control tasks

Bartolomey¹,

Eroshenko²,

Semenenko³

et al. 2014

WIT Transactions on Ecology and the Environment

Self Cite

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“…It is not difficult to show [18] that if we have got the vectors (complexes) of voltages and currents of the positive sequence of the fundamental harmonic from the PMU, installed at the ends of the transmission line, for any i-th moment in time, the parameters of the πequivalent circuit can be determined as:…”

Section: Introductionmentioning

confidence: 99%

Estimation of 500 kV power transmission line parameters with PMU

et al. 2021

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This work is devoted to the research of the real-time estimation of 500 kV power transmission lines parameters with PMU based on the solution of the optimization problem of minimizing the root-mean-square deviations of the specific line parameters or the sum of the modules of the correlation coefficients between the specific parameters and the sum of the squares of the voltages or currents measured at the ends of the line. Independent optimization variables are the correction factors of the measuring systems of currents and voltages. Based on an artificially simulated PMU dataset with specified Gaussian noise and systematic errors, it is shown that the use of correlation coefficients in the objective function is more effective than standard deviations. All 5 estimated coefficients turned out to be closer to the reference values. The results of calculations are obtained from the data of real PMUs for an operating 500 kV line with a length of 504.6 km. The deviation of the specific capacitive conductivity from the nominal value is 0.13%, compared with - 0.29% when using the sum of squares of deviations as an objective function.

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“…По состоянию на 2015 г. в российской энергосистеме было установлено около четырехсот устройств СВИ (УСВИ), а общее количество УСВИ в Северной Америке в том же году составляло около 2000 единиц [5,6]. В последние 10-15 лет в отечественной и зарубежной литературе появилось немало публикаций, посвященных актуализации параметров воздушных линий электропередачи (ВЛЭП) с использованием СВИ [1,[7][8][9][10]. При этом соответствующие алгоритмы, предлагаемые во многих работах, часто достаточно сложны и требуют решения оптимизационной задачи [9][10][11][12].…”

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Estimation of synchrophasor-based transposed line parameters by analytical methods

Иванов¹

2019

Vestnik IGEU

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New information technologies for state estimation of power systems with FACTS

Cited by 17 publications

References 14 publications

PMU-based informational support of power system control tasks

PMU-based informational support of power system control tasks

Estimation of 500 kV power transmission line parameters with PMU

Estimation of synchrophasor-based transposed line parameters by analytical methods

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