Electric Energy Systems Theory: An Introduction

Elgerd, Olle I.; Happ, H. H.

doi:10.1109/tsmc.1972.4309116

Cited by 539 publications

(594 citation statements)

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“…The recorded system responses cover the whole transient period as well as the steady-states prior to and after the disturbance with a sufficient sampling rate (2 ms). Therefore, the dynamic responses contain all system mode frequencies typically present in power systems [22], [34]. The length of the time window selected for the identification of the eigenvalues for both methods starts with the initiation of the disturbance and ends right after the oscillations stop.…”

Section: Black-box Modelling Methodologymentioning

confidence: 99%

“…Real eigenvalues correspond to exponential decaying modes, while conjugate complex to oscillatory modes. The eigenvalues located close to the imaginary axis present a small exponential decay, thus have a dominant influence on the system response after a disturbance [3], [34]. The eigenvalues of the oscillatory modes of V, I and f are summarized in Table 1. In Table 2 the eigenvalues corresponding to the oscillatory modes, as well as the extracted Prony term A k of all system components, are analyzed for the generalized TC3 where all DG units are connected to the MG.…”

Section: Eigenvalue Analysismentioning

confidence: 99%

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Measurement‐based analysis of the dynamic performance of microgrids using system identification techniques

Papadopoulos

Crolla³

et al. 2015

IET Generation, Transmission & Distribution

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The dynamic performance of microgrids is of crucial importance, due to the increased complexity introduced by the combined effect of inverter interfaced and rotating distributed generation. This paper presents a methodology for the investigation of the dynamic behavior of microgrids based on measurements using Prony analysis and state-space black-box modeling techniques. Both methods are compared and evaluated using real operating conditions data obtained by a laboratory microgrid system. The recorded responses and the calculated system eigenvalues are used to analyze the system dynamics and interactions among the distributed generation units. The proposed methodology can be applied to any real-world microgrid configuration, taking advantage of the future smart grid technologies and features.

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Section: Black-box Modelling Methodologymentioning

confidence: 99%

Section: Eigenvalue Analysismentioning

confidence: 99%

Measurement‐based analysis of the dynamic performance of microgrids using system identification techniques

Papadopoulos

Crolla³

et al. 2015

IET Generation, Transmission & Distribution

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“…Reactive power is the power that oscillates typically between a generator and the magnetic fields surounding overhead lines, transformers, or motors. Figure 1 shows the traditional way of presenting the concepts of active and reactive power [5]. The upper part displays the instananeous line voltage (blue solid line) and the instantaneous current (red solid line) of a single phase of a power system.…”

Section: -Active and Reactive Powermentioning

confidence: 99%

“…Here the sum of the instantenous power over the three phases is constant (time-independent), and "we are tempted to assume that the reactive power is of no importance in a three-phase system" [5]. But this is not the case.…”

Section: -Active and Reactive Powermentioning

confidence: 99%

The physics of power systems operation

Ohler

2015

EPJ Web of Conferences

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Summary. -The article explains the operation of power systems from the point of view of physics. Physicists imagine things, rather than in terms of impedances and circuits, in terms of fields and energy conversions. The account is concrete and simple. The use of alternating current entails the issue of reactive power. Reactive power consists of energy that oscillates between electrical and magnetic fields, it flows on top of the active power which carries the useful energy. The control of active and reactive power is essential for the power system's reliable operation. The frequency of a power system is the same everywhere. The stability of the frequency indicates that generation and demand of active power are equal, a decline in frequency indicates a lack of generation relative to the demand. Adapting the electrical power injected into the system is the way of frequency control. Because of the parasitic inductances and capacitances of overhead lines, cables, and transformers, the voltage at different locations of the power system depends on the load. The voltage is regulated by the combined action of generator excitation, transformer tap changers and series compensation in order to provide consumers with a stable voltage supply. The integration of solar cells and wind turbines into the power system poses some challenges. But the power system is able to accommodate large amounts of fluctuating renewable power generation if the right complementary measures are taken.

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“…Taking into account these simplifications, the response of all the generators in a grid to changes in system load and generation can be represented by the response of one equivalent generator [9]. The inertia constant of this generator equals to the sum of the inertia constants of all the operating generators in the grid [10], [11]:…”

Section: B Grid Modelmentioning

confidence: 99%

Frequency support by wind power plants in isolated grids with varying generation mix

Tielens

Mohajerpoor

Μαρινόπουλος

et al. 2012

2012 IEEE Power and Energy Society General Meeting

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Abstract-Increasing wind power penetration in power systems has resulted in an urgent need for the assessment of their impact on grid security. Besides the participation in voltage control, there also exists a growing interest in the delivering of other ancillary services like power-frequency control. This paper investigates further the technical feasibility of delivering frequency support with wind turbines in a small power system. Different control mechanisms are elaborated in Matlab/Simulink to deliver frequency support in the case where the turbines have a power reserve available and in the case where they are operating at maximum available power. Also the influence of the generation mix is examined. Results reveal that the displacement of conventional generation with wind power results in a deterioration of the frequency response. However, due to the implementation of the different control mechanisms presented in this paper for delivering inertial response and primary control, the frequency stability is improved.

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Electric Energy Systems Theory: An Introduction

Cited by 539 publications

References 0 publications

Measurement‐based analysis of the dynamic performance of microgrids using system identification techniques

Measurement‐based analysis of the dynamic performance of microgrids using system identification techniques

The physics of power systems operation

Frequency support by wind power plants in isolated grids with varying generation mix

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