Evaluation of CES and DFIG unit in AGC of realistic multisource deregulated power system

Dhundhara, Sandeep; Verma, Yajvender Pal

doi:10.1002/etep.2304

Cited by 32 publications

(28 citation statements)

References 37 publications

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“…Any sudden load change or generation loss in any area can induce a transient frequency change in the other nearby control areas as well. Therefore, effective control should be required to retain the power generation‐consumption balance and scheduled power interchange between the control areas . Figure shows a linearized model of a two‐area interconnected power system having different generating units (hydro, thermal, gas, and wind) working in the deregulated electricity market scenario .…”

Section: System Investigatedmentioning

confidence: 99%

“…The number of GENCOs and the number of DISCOs are represented by the rows and columns of the DPM matrix, respectively . The DPM for the system under study consisting of different contract participation factors (CPFs) is given in (1) as shown below:

\begin{matrix} left \\ DPM = [\begin{matrix} center \\ {CPF}_{11} & {CPF}_{12} & {CPF}_{13} & {CPF}_{14} \\ {CPF}_{21} & {CPF}_{22} & {CPF}_{23} & {CPF}_{24} \\ \begin{array}{l} {CPF}_{31} \\ ‐ ‐ ‐ \end{array} & \begin{array}{l} {CPF}_{32} \\ ‐ ‐ ‐ \end{array} & \begin{array}{l} {CPF}_{33} \\ ‐ ‐ ‐ \end{array} & \begin{array}{l} {CPF}_{34} \\ ‐ ‐ ‐ \end{array} \\ \begin{array}{l} {CPF}_{41} \\ {CPF}_{51} \\ {CPF}_{61} \end{array} & \begin{array}{l} {CPF}_{42} \\ {CPF}_{52} \\ {CPF}_{62} \end{array} & \begin{array}{l} {CPF}_{43} \\ {CPF}_{53} \\ {CPF}_{63} \end{array} & \begin{array}{l} {CPF}_{44} \\ {CPF}_{54} \\ {CPF}_{64} \end{array} \end{matrix}] \begin{array}{c} G_{1} \\ G_{2} \\ \begin{matrix} left \\ G_{3} \\ ‐ \end{matrix} \\ \begin{matrix} left \\ G_{4} \\ G_{5} \\ G_{6} \end{matrix} \end{array} \begin{array}{c} ↑ \\ \to_{AREA ‐ 2}^{AREA ‐ 1} \\ ↓ \end{array} GENCO S \\ D_{1} D_{2} D_{3} D_{4} \end{matrix} \overset{DISCO normalS}{\to}

…”

Section: System Investigatedmentioning

confidence: 99%

“…Therefore, effective control should be required to retain the power generation-consumption balance and scheduled power interchange between the control areas. 38 Figure 1 shows a linearized model of a two-area interconnected power system having different generating units (hydro, thermal, gas, and wind) working in the deregulated electricity market scenario. 39 All the components such as power system, governor, turbine, and generator have been represented by their respective transfer functions.…”

Section: System Investigatedmentioning

confidence: 99%

“…The number of GENCOs and the number of DISCOs are represented by the rows and columns of the DPM matrix, respectively. 39 The DPM for the system under study consisting of different contract participation factors (CPFs) is given in (1) as shown below 38…”

Section: System Investigatedmentioning

confidence: 99%

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Grid frequency enhancement using coordinated action of wind unit with redox flow battery in a deregulated electricity market

Dhundhara

Verma

2020

Int Trans Electr Energ Syst

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Summary Growing electricity demand, environmental issues, and challenge to decrease dependence on fossil fuel resources have increased the inception of wind generation into the power system. However, higher penetration of wind‐based generating units into the existing grid can affect the working of the power system. Traditionally, a wind unit does not provide inertia, but collectively, wind units can have a notable impact on the dynamic performance of the power system. However, the battery energy storage systems have the potential to offer flexibility and ancillary supports to the power system. This article evaluates the impact of redox flow battery (RFB) in coordination with a doubly fed induction generator (DFIG)–based wind turbine unit (WTU) to enrich the dynamic performances of a multi‐source interconnected power system in a deregulated electricity market. The modified inertial control scheme is proposed for the DFIG unit that responds in the event of frequency deviation in the grid. The turbine sheds its kinetic energy and provides active power injection, thereby enhancing the frequency response of the system. The recently developed moth‐flame optimization (MFO) algorithm is employed for optimal tuning of the proportional‐integral (PI) controller and the speed regulator of a DFIG‐WTU. The simulation studies have been executed to analyze the impact of the RFB with WTU on the system frequency, tie‐line and different generating units power through a comparative study in terms of the settling time, and peak overshoot/undershoot in a deregulated electricity market. The analysis reveals that the WTU effectively contributes to sustaining the frequency and tie‐line power oscillations during abrupt load disturbances in the proposed power system. Moreover, the inclusion of RFB in coordination with the WTU helps to reduce the stress on a wind turbine during inertial control scheme. It can also reduce wind curtailments by absorbing excess power flowing through transmission lines, reduces wastage of green energy, and gives better dynamic response under different operating conditions of the deregulated electricity market.

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Section: System Investigatedmentioning

confidence: 99%

\begin{matrix} left \\ DPM = [\begin{matrix} center \\ {CPF}_{11} & {CPF}_{12} & {CPF}_{13} & {CPF}_{14} \\ {CPF}_{21} & {CPF}_{22} & {CPF}_{23} & {CPF}_{24} \\ \begin{array}{l} {CPF}_{31} \\ ‐ ‐ ‐ \end{array} & \begin{array}{l} {CPF}_{32} \\ ‐ ‐ ‐ \end{array} & \begin{array}{l} {CPF}_{33} \\ ‐ ‐ ‐ \end{array} & \begin{array}{l} {CPF}_{34} \\ ‐ ‐ ‐ \end{array} \\ \begin{array}{l} {CPF}_{41} \\ {CPF}_{51} \\ {CPF}_{61} \end{array} & \begin{array}{l} {CPF}_{42} \\ {CPF}_{52} \\ {CPF}_{62} \end{array} & \begin{array}{l} {CPF}_{43} \\ {CPF}_{53} \\ {CPF}_{63} \end{array} & \begin{array}{l} {CPF}_{44} \\ {CPF}_{54} \\ {CPF}_{64} \end{array} \end{matrix}] \begin{array}{c} G_{1} \\ G_{2} \\ \begin{matrix} left \\ G_{3} \\ ‐ \end{matrix} \\ \begin{matrix} left \\ G_{4} \\ G_{5} \\ G_{6} \end{matrix} \end{array} \begin{array}{c} ↑ \\ \to_{AREA ‐ 2}^{AREA ‐ 1} \\ ↓ \end{array} GENCO S \\ D_{1} D_{2} D_{3} D_{4} \end{matrix} \overset{DISCO normalS}{\to}

…”

Section: System Investigatedmentioning

confidence: 99%

Section: System Investigatedmentioning

confidence: 99%

Section: System Investigatedmentioning

confidence: 99%

See 2 more Smart Citations

Grid frequency enhancement using coordinated action of wind unit with redox flow battery in a deregulated electricity market

Dhundhara

Verma

2020

Int Trans Electr Energ Syst

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“…But the dynamic response has much oscillation, and to reduce the frequency oscillation has become a new challenge. Battery energy storage and FACT devices have shown the promising result to damp oscillation . AC/DC links in each area has been used to improve oscillation .…”

Section: Introductionmentioning

confidence: 99%

Fruit fly algorithm-based automatic generation control of multiarea interconnected power system with FACTS and AC/DC links in deregulated power environment

Shankar

Kumar

Raj

et al. 2018

Int Trans Electr Energ Syst

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Summary This paper focuses on automatic generation control (AGC) in deregulated environment for the multiarea interconnected power system. Each area consists of different kind of generating sources like thermal, hydro, and gas, each having different characteristics with physical constraint likes governor dead band and generation rate constraint. Loads are divided among different generator using the concept of economic load dispatch. The AC/DC links has been installed in all areas as well as unified power flow controller (UPFC) in tie lines to mitigate the effect of oscillation and to improve the system response. Thus, a more systematic and synchronized control of AGC with UPFC and AC/DC links has been proposed. Small signal stability of each area has been analyzed for finding out the oscillation states of the studied system. The proposed controller is optimized through Fruit Fly Algorithm, and its promising results reveal that the proposed controller is more efficient and effective in all different power transaction modes of restructured scenario.

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Fast‐Acting Electrical Energy Storage Systems for Frequency Regulation

Sharma¹,

Dhundhara

Arya

et al. 2021

Energy Storage for Modern Power System Operations

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Evaluation of CES and DFIG unit in AGC of realistic multisource deregulated power system

Cited by 32 publications

References 37 publications

Grid frequency enhancement using coordinated action of wind unit with redox flow battery in a deregulated electricity market

Grid frequency enhancement using coordinated action of wind unit with redox flow battery in a deregulated electricity market

Fruit fly algorithm-based automatic generation control of multiarea interconnected power system with FACTS and AC/DC links in deregulated power environment

Fast‐Acting Electrical Energy Storage Systems for Frequency Regulation

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