Load frequency control issues in power system operations after deregulation

Christie, R.D.; Bose, Anjan

doi:10.1109/59.535590

Cited by 285 publications

(98 citation statements)

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“…Elgerd, 1970, Karnavas and Papadopoulos, 2002, Pan and Lian, 2005 while research work in deregulated AGC can be found in (Kumar et al, 1997, Delfino et al, 2002, Donde et al, 2001, Christie and Bose, 1996, Nobile et al, 2000, Bevrani et al, 2004, Karnavas, 2005, Shayeghi et al, 2006, Demiroren and Zeynelgil, 2007, Srinivasa et al, 2008. In the new restructured environment (see Figure 1), GenCos sell power to various DisCos at competitive prices.…”

Section: The Deregulated Market Environment For Agcmentioning

confidence: 99%

performance evaluation of evolutionary designed conventional AGC controllers for interconnected electric power system studies in a deregulated market environment

Karnavas¹,

Dedousis²

2010

Int. J. Eng. Sci. Tech

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Electric power industry is currently in transition from vertically integrated utilities to an industry that will incorporate competitive companies. This increases the complexity of the load frequency issue and calls for more insight and research. In this context, the tuning of a multi-area automatic generation control (AGC) system after deregulation and furthermore, the effect of reheat turbines dynamics in the power system performance, are not yet discussed in depth and are studied in this work. The effect of bilateral contracts on the dynamics of the system is taken into account and the concept of DISCO participation matrix for these bilateral contracts is simulated. Genetic algorithms are adopted in order to obtain the optimal parameters of the loadfrequency controllers as well as of the frequency biases of thermal systems with reheat turbines. Also, since the optimum parameter values of the classical AGC have been obtained in the literature by minimizing the popular integral of the squared errors criterion (ISE) only, an effort is made in this study to show that this criterion does not give always the best system performance especially in a deregulated environment. In this work, we investigate the optimum adjustment of the load frequency controllers using a set of performance indices which are various functions of error and time. In this way, someone can observe the various performances that such a kind of power system might have when a different performance index is used. It should be noted that to the extent of the authors' knowledge, this kind of optimization has not been done yet in the literature. The performances of the tuned two-area AGC system are obtained using appropriate Matlab/Simulink models. Finally, it is envisaged that the synthesis procedure highlighted in this paper could be of practical significance for tuning conventional AGC controllers for an interconnected thermal-electric power system in a deregulated environment.

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Section: The Deregulated Market Environment For Agcmentioning

confidence: 99%

performance evaluation of evolutionary designed conventional AGC controllers for interconnected electric power system studies in a deregulated market environment

Karnavas¹,

Dedousis²

2010

Int. J. Eng. Sci. Tech

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“…Although it is conceptually clean to have separate functionalities for the GENCOs, TRANSCOs and DISCOs, in reality there will exist companies with combined or partial responsibilities. The LFC in a deregulated electricity market should be designed to consider different types of possible transactions, such as poolco-based transactions, bilateral transactions and a combination of these two [15]. In the new scenario, a DISCO can contract individually with a GENCO for acquiring the power and these transactions will be made under the supervision of ISO.…”

Section: Modeling Of a Two-area Thermal Reheat Interconnected Power Smentioning

confidence: 99%

Ancillary Service Requirement Assessment Indices for the Load Frequency Control in a Restructured Power System with Redox Flow Batteries

Chandrasekar¹,

Paramasivam²,

Chidambaram³

2016

Journal of Electrical Engineering and Technology

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-This paper proposes various design procedures for computing Power System Ancillary Service Requirement Assessment Indices (PSASRAI) for a Two-Area Thermal Reheat Interconnected Power System (TATRIPS) in a restructured environment. In an interconnected power system, a sudden load perturbation in any area causes the deviation of frequencies of all the areas and also in the tie-line powers. This has to be corrected to ensure the generation and distribution of electric power companies to ensure good quality. A simple Proportional and Integral (PI) controllers have wide usages in controlling the Load Frequency Control (LFC) problems. So the design of the PI controller gains for the restructured power system are obtained using Bacterial Foraging Optimization (BFO) algorithm. From the simulation results, the PSASRAI are calculated based on the settling time and peak over shoot concept of control input deviations of each area for different possible transactions. These Indices are useful for system operator to prepare the power system restoration plans. Moreover, the LFC loop coordinated with Redox Flow Batteries (RFB) has greatly improved the dynamic response and it reduces the control input requirements and to ensure improved PSASRAI, thereby improving the system reliability.

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“…According to [9] , by the end of 2008, there was 65 GW of wind power capacity (63.5 GW onshore and 1.5 GW offshore) installed in the EU -27, of which 63.9 GW was in the EU - 15. Among the EU countries, Germany and Spain continue to be Europe ' s leaders with total installed wind energy capacities of 24 GW and 17 GW, respectively where 63% of the EU ' s installed wind energy capacity is located in these two countries.…”

Section: Nuclear Power Plantsmentioning

confidence: 99%