Congestion Management Solution for Hybrid System Considering Voltage Stability Margin

Sagwal, Rahul; Kumar, Ashwani

doi:10.1016/j.protcy.2016.08.166

Cited by 8 publications

(5 citation statements)

References 16 publications

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“…In addition, considering the volumetric mass density γ, the cable mass can be calculated by Equation (12).…”

Section: Grid Lines: Model and Thermal Behavior Studymentioning

confidence: 99%

“…A strategy focused on the control of storage, electric vehicles (EVs), as well as flexible loads connected at the distributed level, increases the availability of active resources that, in turn, enable power system reliability. Congestion management for AC transmission and distribution power systems, and hybrid network reliability have been investigated in several papers in the literature [3,[10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

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A Planning Tool for Reliability Assessment of Overhead Distribution Lines in Hybrid AC/DC Grids

et al. 2021

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Integration of DC grids into AC networks will realize hybrid AC/DC grids, a new energetic paradigm which will become widespread in the future due to the increasing availability of DC-based generators, loads and storage systems. Furthermore, the huge connection of intermittent renewable sources to distribution grids could cause security and congestion issues affecting line behaviour and reliability performance. This paper aims to propose a planning tool for congestion forecasting and reliability assessment of overhead distribution lines. The tool inputs consist of a single line diagram of a real or synthetic grid and a set of 24-h forecasting time series concerning climatic conditions and grid resource operative profiles. The developed approach aims to avoid congestions criticalities, taking advantage of optimal active power dispatching among “congestion-nearby resources”. A case study is analysed to validate the implemented control strategy considering a modified IEEE 14-Bus System with introduction of renewables. The tool also implements reliability prediction formulas to calculate an overhead line reliability function in congested and congestions-avoided conditions. A quantitative evaluation underlines the reliability performance achievable after the congestion strategy action.

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“…In addition, considering the volumetric mass density γ, the cable mass can be calculated by Equation (12).…”

Section: Grid Lines: Model and Thermal Behavior Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Planning Tool for Reliability Assessment of Overhead Distribution Lines in Hybrid AC/DC Grids

et al. 2021

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show abstract

“…Wind velocity data are available for 24 hours and is given in Figure . This data is further averaged into four‐time blocks of 6 hours each.…”

Section: Test Systemmentioning

confidence: 99%

“…Wind velocity data are available for 24 hours and is given in Figure 5. 27 This data is further averaged into four-time blocks of 6 hours each. Detailed data of fixed speed wind unit and DFIG-based variable speed wind unit are given in Tables 4 and 5 respectively.…”

Section: Five-bus Test Systemmentioning

confidence: 99%

Financial analysis of reactive power procurement in pool-based deregulated power market integrated with DFIG-based wind farms

Gupta

Verma

Chauhan

2018

Int Trans Electr Energ Syst

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Summary Reactive power management is one of the prime ancillary services provided by independent system operator in deregulated power market as it supports real power transfer by controlling system voltage within specified limits. In this article, financial impact of reactive power production in pool‐based deregulated power market integrated with wind farms is analyzed. Reactive power cost of different generators including fixed speed wind units and doubly fed induction generator (DFIG)‐based variable speed wind units is calculated using the concept of loss of real power spinning reserve cost. This model is then extended to incorporate reactive power cost in terms of lost opportunity cost to bid scheduled real power by using loading capability curve. The proposed model is validated and implemented on a modified five‐bus test system and is then extended to a larger IEEE 24‐bus RTS system using GAMS 23.4 software in interfacing with MATLAB 7.0. Results reveal superior financial and technical performance of DFIG wind farms as compared to fixed speed wind farms in reactive power management.

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“…An approach to manage congestion in deregulated environment using the particle swarm optimization (PSO) algorithm with improved time-varying acceleration coefficients is proposed in [14]. Reference [15] proposes an economical and secure CM approach, in hybrid power system; by considering the linear piece-wise hydro model and probabilistic wind generation model. An Improved Differential Evolution based approach to release congestion in transmission lines by generator rescheduling and the installation of new wind farms is proposed in [16].…”

Section: Introductionmentioning

confidence: 99%

Optimal power flow based congestion management using enhanced genetic algorithms

Kim

Salkuti

2019

IJECE

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<p>Congestion management (CM) in the deregulated power systems is germane and of central importance to the power industry. In this paper, an optimal power flow (OPF) based CM approach is proposed whose objective is to minimize the absolute MW of rescheduling. The proposed optimization problem is solved with the objectives of total generation cost minimization and the total congestion cost minimization. In the centralized market clearing model, the sellers (i.e., the competitive generators) submit their incremental and decremental bid prices in a real-time balancing market. These can then be incorporated in the OPF problem to yield the incremental/ decremental change in the generator outputs. In the bilateral market model, every transaction contract will include a compensation price that the buyer-seller pair is willing to accept for its transaction to be curtailed. The modeling of bilateral transactions are equivalent to the modifying the power injections at seller and buyer buses. The proposed CM approach is solved by using the evolutionary based Enhanced Genetic Algorithms (EGA). IEEE 30 bus system is considered to show the effectiveness of proposed CM approach.</p>

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Congestion Management Solution for Hybrid System Considering Voltage Stability Margin

Cited by 8 publications

References 16 publications

A Planning Tool for Reliability Assessment of Overhead Distribution Lines in Hybrid AC/DC Grids

A Planning Tool for Reliability Assessment of Overhead Distribution Lines in Hybrid AC/DC Grids

Financial analysis of reactive power procurement in pool-based deregulated power market integrated with DFIG-based wind farms

Optimal power flow based congestion management using enhanced genetic algorithms

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