Simulation and optimization in an AGC system after deregulation

Donde, Vaibhav; Pai, M.A.; Hiskens, Ian A.

doi:10.1109/59.932285

Cited by 444 publications

(181 citation statements)

References 9 publications

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“…It is to be noted that i cpf i j = 0. The researchers to tackle AGC problem effectively in restructured systems have been suggested many control strategies such as optimal control (Parmar et al 2014;Arya et al 2016), BFOA (Debbarma et al 2013), trajectory sensitivities-based gradient Newton algorithm (Donde et al 2001), GA-based fuzzy (Bhateshvar et al 2015) and FA-based fuzzy (Sekhar et al 2016).…”

Section: Literature Reviewmentioning

confidence: 99%

“…The ISO manage a number of such ancillary services, one of which is AGC (Debbarma et al 2013). To simulate different transactions, Donde et al (2001) has introduced the concept of DISCO participation matrix (DPM) and area participation factor (apf) for AGC study of a two-area restructured thermal system. DPM demonstrates the involvement of a DISCO in contract with a GENCO.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Design and analysis of BFOA-optimized fuzzy PI/PID controller for AGC of multi-area traditional/restructured electrical power systems

Arya

Kumar

2016

Soft Comput

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In this paper, design and performance analysis of bacterial foraging optimization algorithm (BFOA)-optimized fuzzy PI/PID (FPI/FPID) controller for automatic generation control of multi-area interconnected traditional/restructured electrical power systems is presented. Firstly a traditional two-area non-reheat thermal system is considered, and gains of the fuzzy controller are tuned employing BFOA using integral of squared error objective function. The supremacy of this controller is demonstrated by juxtaposing the results with particle swarm optimization (PSO), firefly algorithm (FA), BFOA, hybrid BFOA-PSObased PI and fuzzy PI controllers based upon pattern search (PS) and PSO algorithms for the same power system structure. The approach is then extended to a two-area reheat system, and improved results are found with the purported FPI/FPID controller in comparison with PSO and artificial bee colony optimized PI controller. Further, the approach is implemented on a traditional multi-source multi-area (MSMA) hydrothermal system and its superb performance is observed over genetic algorithm and hybrid FA-PS tuned PI controller. Additionally, to demonstrate the scalability of the designed controller to cope with restructured power system, the study is also protracted to a restructured MSMA

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Design and analysis of BFOA-optimized fuzzy PI/PID controller for AGC of multi-area traditional/restructured electrical power systems

Arya

Kumar

2016

Soft Comput

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“…In this paper, bilateral based market is taken for analysis. A general configuration for the LFC [2] [3] in a deregulated environment is shown in Figure 1.…”

Section: Generalized Bilateral Schemementioning

confidence: 99%

“…Possible issues in Frequency control in energy market were discussed in [1]. Vertically integrated structure and bilateral based scheme modeling were discussed in [2] [3]. Different approaches like pluralistic and hierarchical methods were discussed and quoted in [4].…”

Section: Introductionmentioning

confidence: 99%

Hybrid Fuzzy Controller Based Frequency Regulation in Restructured Power System

Anitha¹,

Subburaj²

2016

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This paper discusses the implementation of Load Frequency Control (LFC) in restructured power system using Hybrid Fuzzy controller. The formulation of LFC in open energy market is much more challenging; hence it needs an intelligent controller to adapt the changes imposed by the dynamics of restructured bilateral contracts. Fuzzy Logic Control deals well with uncertainty and indistinctness while Particle Swarm Optimization (PSO) is a well-known optimization tool. Abovementioned techniques are combined and called as Hybrid Fuzzy to improve the dynamic performance of the system. Frequency control of restructured system has been achieved by automatic Membership Function (MF) tuned fuzzy logic controller. The parameters defining membership function has been tuned and updated from time to time using Particle Swarm Optimization (PSO). The robustness of the proposed hybrid fuzzy controller has been compared with conventional fuzzy logic controller using performance measures like overshoot and settling time following a step load perturbation. The motivation for using membership function tuning using PSO is to show the behavior of the controller for a wide range of system parameters and load changes. Error based analysis with parametric uncertainties and load changes is tested on a two-area restructured power system.

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“…Possible issues in Frequency control in energy market were discussed in [1]. Vertically integrated structure, Bilateral based scheme modeling was discussed in [2] [3]. Many researchers have started to analyze possible new LFC schemes and regulation solutions, with paradigms suited for the energy market scenarios [4]- [9].…”

Section: Introductionmentioning

confidence: 99%