State estimation of electric power system for new technological systems

Creation of satellite communication systems gave rise to a new generation of measurement equipment – Phasor Measurement Unit (PMU). Integrated into the measurement system WAMS, the PMU sensors provide a real picture of state of energy power system (EPS). The issues of PMU placement when solving the problem of EPS state estimation (SE) are discussed in many papers. PMU placement is a complex combinatorial problem, and there is not any analytical function to optimize its variables. Therefore, this problem is often solved by the heuristic optimization methods. Depending on the chosen set of sensors (SCADA&PMU; only PMU; PMU placement based on the concept of depth of unobservability), one can obtain no less than 3 different variants of placing PMUs for one and the same system. The paper describes the PMU placement criteria suggested by the authors to solve the SE problem. Among them: improvement of bad data detection, maximum accuracy of estimates, transformation of the system graph into a tree, maximum number of measurements to be added, PMU placement during the decomposition of the power system SE problem. It is shown that the correct selection of PMU placement criteria can improve the solutions to these problems.

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“…The method of test equations is one of the SE methods that was developed at ESI SB RAS and proved to be efficient (Grishin et al, 1999).…”

Section: Formation Of Test Equationmentioning

confidence: 99%

“…Moreover, these measurements often have errors and gross errors. To improve the accuracy of measurements and calculations of unmeasured parameters the researchers use the methods of state estimation (Grishin et al, 1999). State estimation (SE) is an important procedure providing reliable high-quality information for the EPS control.…”

Section: Introductionmentioning

confidence: 99%

PMU Placement Based on Heuristic Methods, when Solving the Problem of EPS State Estimation

Kolosok

Korkina

Glazunova

2014

International Journal of Energy Optimization and Engineering

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“…For calculations, Otsenka software (developed at the Melentiev Energy Systems Institute) was applied [5,6]. The software consists of four key modules:…”

Section: Testing the Proposed Algorithm For Distributed State Estimationmentioning

confidence: 99%

Physical and Technical Energy Problems: Testing of the Prototype for State Estimation of Large-Scale Power Systems / Lielo Energosistēmu Stāvokļa Novērtēšanas Prototipa Testēšana

Kochukov¹,

Briņķis²,

Mutule³

2013

Latvian Journal of Physics and Technical Sciences

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The paper describes the algorithm for distributed state estimation (SE) and is focused on its testing and validation. For this purpose, different events in the modeled power system of the 330-750 kV electrical ring LatviaLithuania -Belarus -Smolensk -Moscow -St. Petersburg -EstoniaLatvia were considered. The methods for testing the Inter-TSO SE prototype and dynamic network monitoring & modeling are based on comparison of the available SCADA data about real events with those of SE calculation. In total, four operational states were studied, including initial, accident and two post-accident operational states.

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“…SCADA systems are developed to monitor and estimate the current operation state [9], collect, analyze, and diagnose fault alarms [10], as well as use redundant techniques to provide fault tolerance [11] for underlying physical systems. However, most existing SCADA systems themselves become a point of vulnerability when they evolve into a cyber environment.…”

Section: Introductionmentioning

confidence: 99%

Retrofitting Cyber Physical Systems for Survivability through External Coordination

Xiao

Ren

Kwiat

2008

Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008)

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Most Supervisory Control and Data Acquisition (SCADA) systems have been in operation for decades and they in general have 24x7 availability requirement, hence upgrading or adding new fault tolerant logic into the systems to sustain faults caused by cyber attacks when these systems evolve into a cyber environment is often difficult to achieve. In the proposed approach, an external coordination layer is constructed that only interfaces with the SCADA systems through events and separate from the process under control. The coordination layer is a combination of transparent management of fault-tolerant schemes of critical services of a SCADA system and a model for coordinating different critical services when faults caused by cyber attack occur in that system. In addition, security-related knowledge, such as cyber attack patterns and potential fatal states, etc., are also modeled and built into the coordination layer. The advantages of our approach are twofold: (1) the survivability-related knowledge and protection scheme are built in the coordination layer which is external to the SCADA systems and therefore the disturbance to the underlying systems is greatly reduced; (2) "separation of concern" principle is truly reflected in our model in that faulttolerance, security and survivability concerns are separated from supervisory and acquisition. In addition, the external coordination model will enable us to accommodate future requirements that may not even be anticipated today.

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State estimation of electric power system for new technological systems

Cited by 9 publications

References 0 publications

PMU Placement Based on Heuristic Methods, when Solving the Problem of EPS State Estimation

PMU Placement Based on Heuristic Methods, when Solving the Problem of EPS State Estimation

Physical and Technical Energy Problems: Testing of the Prototype for State Estimation of Large-Scale Power Systems / Lielo Energosistēmu Stāvokļa Novērtēšanas Prototipa Testēšana

Retrofitting Cyber Physical Systems for Survivability through External Coordination

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