On the Impact of Discrete Secondary Controllers on Power System Dynamics

Kërçi, Taulant; Murad, Mohammed Ahsan Adib; Dassios, Ioannis; Milano, Federico

doi:10.1109/tpwrs.2021.3061584

Cited by 19 publications

(6 citation statements)

References 21 publications

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“…Since the AGC is typically incorporated in a discrete form, it generates power commands to participating generating units at periodic intervals.The time interval of 2-6 s has proven to be feasible for tackling real-time power imbalances, causing no stability issue in power system. 39 For an interconnected power system, let us assume R = {1, 2, … , L} be the set of BA areas, and let R l signify the set of BA areas directly linked to BA l, for each l ∈ R. Then, for area l, the area control error (ACE), ACE l can be construed as: 40…”

Section: Discussionmentioning

confidence: 99%

Concerted voltage frequency control and superconducting magnetic energy storage operation using optimal adaptive model predictive control for improved frequency response of power system

Syed

Ahsan

Mufti

et al. 2023

Optim Control Appl Methods

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Active power equilibrium is analogous to frequency control. A hypothesis of maintaining this balance with voltage regulation is slightly less instinctive, notwithstanding the contribution it can make to the overall stability of the power system. This idea in synergism with the utilization of superconducting magnetic energy storage (SMES) technology in a colossal multi-machine power network, is exercised in this paper. The main focus of this work is to make a small-rated SMES more providential in large power systems with the aid of voltage frequency control (VFC). This study proposes an adaptive model predictive control (AMPC) equipped small capacity SMES as well as VFC operation, to ensure load frequency control of a wind power penetrated system. While assuming the plant as an autoregressive discrete mode system with exogenous input, the determination of both the plant model and controller parameters are effectuated online using a recursive least squares (RLS) identification algorithm. Detailed mathematical modeling of SMES is presented in addition to the discrete mode automatic generation control (d-AGC) and governor dead band non-linearity at the synchronous power source ends. A compact doubly fed induction generator (DFIG) model architecture harmonizing the maximum power point tracking (MPPT) mode using the standard two-dimensional look-up table with turbine characteristics is also discussed. Simulations in MATLAB/Simulink domain reveals a percentage improvement of 82.6% in the frequency nadir under load disturbance with the proposed VFC-SMES scheme. Furthermore, an average percentage improvement of 82% in peak frequency deviations under turbulent wind scenario is attained. These results are validated in real-time, employing the real-time digital simulator OPAL-RT (OP4510).

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Section: Discussionmentioning

confidence: 99%

Concerted voltage frequency control and superconducting magnetic energy storage operation using optimal adaptive model predictive control for improved frequency response of power system

Syed

Ahsan

Mufti

et al. 2023

Optim Control Appl Methods

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“…Reference [70] investigates the impact of the discrete secondary controllers on the dynamic response of power systems and discusses the analogy between AGC and real-time electricity markets.…”

Section: Use Case 1: Delay Margin Of Sfr By Dersmentioning

confidence: 99%

Cyber-Physical Dynamic System (CPDS) Modeling for Frequency Regulation and AGC Services of Distributed Energy Resources

Wang

Fang

Cui

et al. 2022

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The need for co-simulation, different from the traditional analytical method (i.e., statespace equations), co-simulation method can observe different aspects of the impacts, e.g., heterogeneous communication impacts and local grid constraints, such as voltage and reverse power flow. The quantitative analysis and modeling scheme in this report can provide insights into designing future load frequency control (LFC) algorithms and communication planning for LFC with DERs such as distributed photovoltaics (DPVs) and plug-in electric vehicles (PEVs).

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“…The objective is to evaluate the impact of these models on the behavior of market participants, for example, generator schedules, and on the overall dynamic response of the power system. The case study is based on a modified version of the well-known WSCC 9-bus test system, whose details are provided in Kër ċi et al 35 All simulations below are performed using the Python-based power system analysis software tool Dome. 36 Note that Dome allows simulating larger networks (e.g., thousand of buses).…”

Section: Examplesmentioning

confidence: 99%

“…The case study is based on a modified version of the well‐known WSCC 9‐bus test system, whose details are provided in Kërċi et al 35 All simulations below are performed using the Python‐based power system analysis software tool Dome 36 . Note that Dome allows simulating larger networks (e.g., thousand of buses).…”

Section: Examplesmentioning

confidence: 99%

Fractional‐order dynamical model for electricity markets

Dassios

Kërçi

Băleanu

et al. 2021

Math Methods in App Sciences

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In this article, we use a generalized system of differential equations of fractional-order to incorporate memory into an electricity market model. By using this idea, essential information from the past, such as the behavior of market participants, namely, suppliers and consumers, can be used and have impact on future decisions. We construct the fractional-order dynamical model, study its solutions, and provide closed formulas of solutions. Finally, we provide an application by using the proposed formula of solutions as well as a numerical example which also compares the proposed model with a conventional, integer-order electricity market model. Results indicate that the inclusion of memory leads market participants to adopt a conservative behavior.

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On the Impact of Discrete Secondary Controllers on Power System Dynamics

Cited by 19 publications

References 21 publications

Concerted voltage frequency control and superconducting magnetic energy storage operation using optimal adaptive model predictive control for improved frequency response of power system

Concerted voltage frequency control and superconducting magnetic energy storage operation using optimal adaptive model predictive control for improved frequency response of power system

Cyber-Physical Dynamic System (CPDS) Modeling for Frequency Regulation and AGC Services of Distributed Energy Resources

Fractional‐order dynamical model for electricity markets

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