Dynamic Security-Constrained Automatic Generation Control (AGC) of Integrated AC/DC Power Networks

Moawwad, Ahmed; El-Saadany, Ehab F.; Moursi, Mohamed Shawky El

doi:10.1109/tpwrs.2017.2770151

Cited by 22 publications

(15 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In practice, renewable energy sources are highly volatile in power output, which can cause critical challenges to AGC in both microgrids and interconnected power systems [16][17][18]. The control performance of existing research works [6][7][8][9][10][11][12][13][14][15][16][17][18] on AGC mostly depends on the estimated power mismatch, which is also the control signal obtained by disturbance observers. However, owing to the increased penetration of renewable energy sources and flexible loads, the fast and stochastic power fluctuations increase the difficulty in estimating the signal, and will significantly deteriorate the power system's frequency performance.…”

Section: Background and Motivationmentioning

confidence: 99%

“…In recent years, many frequency control methods [6][7][8][9][10][11][12][13][14][15][16][17][18] have been reported with the goal of enhancing the stability and reliability of the power network and improving efficiency. More specifically, Mohanty et al [6] deployed the fuzzy logic into an AGC for a multi-area power system to improve the dynamic performance.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Proactive frequency control based on ultra‐short‐term power fluctuation forecasting for high renewables penetrated power systems

Wen

Wang

Tang

et al. 2019

IET Renewable Power Generation

View full text Add to dashboard Cite

The rapidly increasing penetration of renewable energies has introduced severe challenges to power system frequency controls due to the highly intermittent and uncertain power output of renewable energies. This study proposes a proactive frequency control method to control traditional synchronous generators in advance in anticipation of sudden power fluctuation. Therefore, the frequency deviations can be well mitigated by such early-acted control signal. In order to obtain this new control reference, an ensemble-forecasting model based on the extreme learning machine algorithm is designed to predict ultra-short-term power fluctuations, which serves as an extra signal for automatic generation control. The proposed method was verified on an equivalent model of the Singapore power system with various types of generations and loads. The simulation results clearly demonstrate the accuracy of the forecasting model and the advantages of the proposed control method. The proposed method can also reduce the frequency charging/discharging of energy storage systems, which can effectively extend their lifetime.

show abstract

Section: Background and Motivationmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Proactive frequency control based on ultra‐short‐term power fluctuation forecasting for high renewables penetrated power systems

Wen

Wang

Tang

et al. 2019

IET Renewable Power Generation

View full text Add to dashboard Cite

show abstract

“…In addition, h and g represent the vectors of DAEs. Solving (12) and (13) yields time-varying trajectories of the state variables x such as the rotor angles and frequencies, and the algebraic variables y such as bus voltages and active power injections. The system parameter λ in (12) and (13) can represent transmission line impedance, generation level, load and clearing time.…”

Section: Dae Modelmentioning

confidence: 99%

“…Pre-defined thresholds such as 100° [9], 120° [10], 180° [11,12] or even 360° [13] are used to bound the maximum post-fault relative rotor angle of the synchronous generators, which are obtained by the time domain simulation. However, this threshold usually depends on the operating conditions of the system.…”

Section: Introductionmentioning

confidence: 99%

Generator‐based threshold for transient stability assessment

et al. 2019

Self Cite

View full text Add to dashboard Cite

Power systems are frequently subjected to variations of the operating conditions due to the occurrence of contingencies such as faults, load or generator tripping. These disturbances might enforce the system to enter the instability region and thus deteriorate its overall performance. This paper proposes a systematic approach for transient stability assessment using generator-based threshold. An individual stability limit is designed for each generator instead of using only one pre-defined threshold for all generators. The considered contingencies are characterized by a fault type, location, loading condition and critical clearing time to consider wide range of operating conditions. Two fault locations are only considered to reduce the search space for stability limits; the generator terminals and mid of transmission lines. The critical clearing time is used to find the maximum relative rotor angle (MRRA) of individual generators attained during the entire time domain simulation. The MRRA of each generator represents the maximum angle which can be reached without losing synchronism at a given contingency. Conservative stability limits are drawn around the minimum stable drift of each generator which is chosen from the set of MRRAs of all contingencies. The effectiveness of the proposed approach is tested using the modified New-England, 39bus system.

show abstract

“…Another example in the literature using the virtual inertia is given in [25]. It uses a similar approach of [24] with the application of control layers.…”

Section: Introductionmentioning

confidence: 99%

A network control system for hydro plants to counteract the non-synchronous generation integration

Chamorro

Sanchez

Pantoja

et al. 2019

International Journal of Electrical Power & Energy Systems

View full text Add to dashboard Cite

Sweden is a country with abundant hydro power and has expectations to include more renewable energy sources, namely from wind power, into its electrical system. Currently, in order to improve the frequency response requirements of its electrical system, the country is considering upgrading its hydro-governors. This effort is part of maintaining the system frequency and reaction within their limits following any disturbance events. To partially compensate for increased frequency fluctuations due to an increased share of renewables on its system, the frequency response of hydro-governors should be improved. This paper proposes an innovative network control system, through a supplementary control, for the improvement of the hydro-governor's action. This supplementary control allows having more flexibility over the control action and improves the primary frequency control, and thereby the overall system frequency response. The proposed supplementary control, based on an evolutionary game theory strategy, uses remote measurements and a hierarchical dynamic adjustment of the control. Additionally, in order to guarantee an optimal response, a Simulated Annealing algorithm is combined with the supplementary control. This paper illustrates the analysis and design of the proposed methodology, and is tested on two power systems models: (i) an aggregated model that represents the frequency response of Sweden, Norway and Finland, and (ii) The Nordic 32 test system.

show abstract

Dynamic Security-Constrained Automatic Generation Control (AGC) of Integrated AC/DC Power Networks

Cited by 22 publications

References 24 publications

Proactive frequency control based on ultra‐short‐term power fluctuation forecasting for high renewables penetrated power systems

Proactive frequency control based on ultra‐short‐term power fluctuation forecasting for high renewables penetrated power systems

Generator‐based threshold for transient stability assessment

A network control system for hydro plants to counteract the non-synchronous generation integration

Contact Info

Product

Resources

About