Assessment of minimum inertia requirement for system frequency stability

Ahmadyar, Ahmad Shabir; Riaz, Shariq; Verbič, Gregor; Riesz, Jenny; Chapman, Archie C.

doi:10.1109/powercon.2016.7753912

Cited by 23 publications

(16 citation statements)

References 11 publications

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“…Considering the conventional grid control approaches, a possible way to handle the reduction of inertia is to implement operation constraints for transient stability processes. 47 As an example, EirGrid and the Irish regulator carried out a research project which implements a minimum available kinetic energy constraint in the unit commitment and economic dispatch calculations. Frequency stability is ensured by the synchronising torque, rotating mass, and frequency control of synchronous generators.…”

Section: Constraint Implementation In Market or Dispatch Algorithmsmentioning

confidence: 99%

Effects of decreasing synchronous inertia on power system dynamics—Overview of recent experiences and marketisation of services

Hartmann

Vokony

Táczi

2019

Int Trans Electr Energ Syst

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Summary Decrease of rotational mass in modern power systems is a common experience of system operators around the world. The increasing penetration of variable renewable energy production and thus the use of power converters are fundamentally changing the dynamic behaviour of the power system. The aim of the present paper is to provide an overview on the latest advancements of system operators regarding the analysis and mitigation of the reducing inertia. The theoretical background of power system stability and the calculation of the rate of frequency change are introduced to highlight the importance and the weaknesses of certain metrics used by system operators. Specific operational experiences are compared based on peak load and the nature of the systems. Possible responses by system operators which are discussed in the paper include synchronous and synthetic (emulated) inertia, other technical alternatives (virtual synchronous machines, adaptive load‐shedding schemes), and market‐based solutions. Besides summarising the advantages and disadvantages of those, grey areas of regulation and market structure are highlighted to facilitate forward‐thinking.

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Section: Constraint Implementation In Market or Dispatch Algorithmsmentioning

confidence: 99%

Effects of decreasing synchronous inertia on power system dynamics—Overview of recent experiences and marketisation of services

Hartmann

Vokony

Táczi

2019

Int Trans Electr Energ Syst

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“…Variable s g,t in (7) represents the total number of online units at each generation plant, and G r and N r represent the sets of generators and nodes in region r, respectively. Minimum synchronous inertia requirement: To ensure frequency stability, a minimum level of inertia provided by synchronous generation must be maintained at all times (more details are available in [14]) in each region r:…”

Section: Mst Uc Formulationmentioning

confidence: 99%

“…The case studies provided in this section compare the computational efficiency of the proposed MST with alternative formulations. For detailed studies on the impact of different technologies on future grids, an interested reader can refer to our previous work [14]- [19].…”

Section: Simulation Setupmentioning

confidence: 99%

“…• market structure agnostic modeling framework, • integration of various types and penetrations of RES and emerging demand-side technologies, • generic demand model considering the impact of prosumers, • explicit network representation, including HVDC lines, using a DC power flow model, • explicit representation of the number of online synchronous generators, • explicit representation of system inertia and reactive power support capability of synchronous generators, • computational efficiency with sufficient accuracy. The presented model builds on our existing research [14]- [19] and combines all these in a single coherent formulation.…”

Section: Introductionmentioning

confidence: 99%

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Computationally Efficient Market Simulation Tool for Future Grid Scenario Analysis

Riaz

Verbič

Chapman

2019

IEEE Trans. Smart Grid

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This paper proposes a computationally efficient electricity market simulation tool (MST) suitable for future grid scenario analysis. The market model is based on a unit commitment (UC) problem and takes into account the uptake of emerging technologies, like demand response, battery storage, concentrated solar thermal generation, and HVDC transmission lines. To allow for a subsequent stability assessment, the MST requires an explicit representation of the number of online generation units, which affects powers system inertia and reactive power support capability. These requirements render a fullfledged UC model computationally intractable, so we propose unit clustering, a rolling horizon approach, and constraint clipping to increase the computational efficiency. To showcase the capability of the proposed tool, we use a simplified model of the Australian National Electricity Market with different penetrations of renewable generation. The results are verified by comparison to a more expressive and computationally-intensive binary UC, which confirm the validity of the approach for long term future grid studies.

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“…Many challenges and related solutions for low-inertia power grid stability have been highlighted and discussed in [12]- [16]. Recently, stability analysis and control techniques have been proposed and have demonstrated their effectiveness for system stabilization [6], [7], [9], [11], [17]- [32]. Virtual inertia emulation is an approach to control the terminal behavior of inverter-interfaced RESs to mimic inertial response of conventional synchronous machines [17]- [21].…”

Section: Introductionmentioning

confidence: 99%

A Performance and Stability Analysis of Low-inertia Power Grids with Stochastic System Inertia

Guo

Summers

2019

2019 American Control Conference (ACC)

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Traditional synchronous generators with rotational inertia are being replaced by low-inertia renewable energy resources (RESs) in many power grids and operational scenarios. Due to emerging market mechanisms, inherent variability of RESs, and existing control schemes, the resulting system inertia levels can not only be low but also markedly time-varying. In this paper, we investigate performance and stability of low-inertia power systems with stochastic system inertia. In particular, we consider system dynamics modeled by a linearized stochastic swing equation, where stochastic system inertia is regarded as multiplicative noise. The H2 norm is used to quantify the performance of the system in the presence of persistent disturbances or transient faults. The performance metric can be computed by solving a generalized Lyapunov equation, which has fundamentally different characteristics from systems with only additive noise. For grids with uniform inertia and damping parameters, we derive closed-form expressions for the H2 norm of the proposed stochastic swing equation. The analysis gives insights into how the H2 norm of the stochastic swing equation depends on 1) network topology; 2) system parameters; and 3) distribution parameters of disturbances. A mean-square stability condition is also derived. Numerical results provide additional insights for performance and stability of the stochastic swing equation.

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Assessment of minimum inertia requirement for system frequency stability

Cited by 23 publications

References 11 publications

Effects of decreasing synchronous inertia on power system dynamics—Overview of recent experiences and marketisation of services

Effects of decreasing synchronous inertia on power system dynamics—Overview of recent experiences and marketisation of services

Computationally Efficient Market Simulation Tool for Future Grid Scenario Analysis

A Performance and Stability Analysis of Low-inertia Power Grids with Stochastic System Inertia

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