Optimal control strategy–based AGC of electrical power systems: A comparative performance analysis

Arya, Yogendra; Kumar, Narendra

doi:10.1002/oca.2304

Cited by 67 publications

(41 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…1,7,13,[17][18][19][20][21][22] The system parameters are sensitive and usually diverge over long usages and also because of the deviations in the configuration of the system. 1,7,13,[17][18][19][20][21][22] The system parameters are sensitive and usually diverge over long usages and also because of the deviations in the configuration of the system.…”

Section: Robustness Investigationmentioning

confidence: 99%

“…1 The leading goal of AGC is to uphold the frequency and tie-line power flow changes in the approved boundaries at application of load requirements via retaining the equilibrium of generation and demand plus associated losses. They are exploited to transport power among the control areas; moreover, they support areas in abnormal conditions.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Impact of ultra‐capacitor on automatic generation control of electric energy systems using an optimal FFOID controller

Arya¹

2019

Int J Energy Res

Self Cite

View full text Add to dashboard Cite

Summary Automatic generation control (AGC) acts as a significant part in alleviating dynamic oscillations and sustaining constancy in frequency and scheduled tie‐line power to establish the reliable, secure, and stable operation of electric energy systems under dynamic conditions. AGC needs energy storage system (ESS) and elevated expert, intelligent, and flexible control strategies to ensure generation‐demand balance in modern complex structured energy systems following inconsistent load demands. Hence, this paper utilizes a new fuzzy fractional order integral derivative (FFOID) controller along with ultra‐capacitor (UC) ESS to solve AGC issue in energy systems effectively. The imperialist competitive algorithm is employed to tune the output scaling factors like integral, derivative, and noninteger order of integrator/derivative of FFOID controller using ISE performance index. Initially, the technique is applied on a one‐area nonreheat thermal system. Then, to demonstrate its competency and scalability, the study is boosted to prevalent two‐area nonreheat thermal, two‐area multisource multi‐unit hydrothermal, and three‐area reheat thermal energy system models. The advantage of the proposed controller is demonstrated by juxtaposing the outcomes with those offered by various best claimed intelligent control approaches expressed in the contemporary literature and fuzzy proportional integral (FPI)/fuzzy FO PI (FFOPI) controller. The UC with the FFOID controller outperforms other methods. The robustness analysis proves that parameters of the utilized controller acquired at nominal situation are healthy enough and necessarily not needed to retune under broad alterations in the system loading/parameters, size/position of load perturbation, and under the appearance of system constraints and random load pattern with/without noise.

show abstract

Section: Robustness Investigationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Impact of ultra‐capacitor on automatic generation control of electric energy systems using an optimal FFOID controller

Arya¹

2019

Int J Energy Res

Self Cite

View full text Add to dashboard Cite

show abstract

“…Many controllers have been designed based on the optimization techniques including model‐matching method, performance index minimization, state‐feedback control strategy, reinforcement learning algorithm, genetic algorithm, and honey‐bee mating optimization…”

Section: Introductionmentioning

confidence: 99%

Optimal design of robust feedforward compensator with gain and phase specifications

Jon¹,

Pak²

2019

Optim Control Appl Methods

View full text Add to dashboard Cite

Summary This paper deals with the design of the robust feedforward compensator for improving the tracking performance of control systems with gain and phase specifications. The feedforward compensator is designed for single‐input–single‐output continuous‐time linear systems with constrained input and model uncertainty. The design objective is to make the transfer characteristic from command to output be one in the presence of the input saturation and the model uncertainty. To do that, the design of the feedforward compensator is formulated as a new gain‐phase optimization problem with both the gain and phase specifications. Then, the design procedures are proposed by using frequency‐matching method based on the closed‐loop frequency response. The proposed method provides a good trade‐off between system performance and control input to overcome performance reduction due to input saturation, and guarantees the robustness of the overall system in the presence of the model uncertainty. Two design examples illustrate that the frequency characteristics and the transient response of the control system are improved by the proposed method.

show abstract

“…Until now, the concept of two degrees of freedom (2DOFs) is only applied to conventional PID controllers, but surprisingly, this concept has not been applied for other controllers such as state feedback controller (SFC), sliding mode controller, and dual mode controller. Full SFC is successfully implemented for AGC system . The SFC completely controls the placement of eigenvalues.…”

Section: Introductionmentioning

confidence: 99%

Comparative performance analysis of 2DOF state feedback controller for automatic generation control using whale optimization algorithm

Simhadri

Mohanty

Panda

2018

Optim Control Appl Methods

View full text Add to dashboard Cite

Summary This paper presents the design of two‐degree‐of‐freedom state feedback controller (2DOFSFC) for automatic generation control problem. A recently developed new metaheuristic algorithm called whale optimization algorithm is employed to optimize the parameters of 2DOFSFC. The proposed 2DOFSFC is analyzed for a two‐area interconnected thermal power system including governor dead band nonlinearity and further extended to multiunit hydrothermal power system. The supremacy of the 2DOFSFC is established comparing with proportional‐integral, proportional‐integral‐derivative (PID), and 2DOFPID controllers optimized with different competitive algorithms for the concerned system. The sensitivity analysis of the optimal 2DOFSFC is performed with uncertainty condition made by varying bias coefficient B and regulation R parameters. Furthermore, the proposed controller is also verified against random load variations and step load perturbation at different locations of the system.

show abstract

Optimal control strategy–based AGC of electrical power systems: A comparative performance analysis

Cited by 67 publications

References 26 publications

Impact of ultra‐capacitor on automatic generation control of electric energy systems using an optimal FFOID controller

Impact of ultra‐capacitor on automatic generation control of electric energy systems using an optimal FFOID controller

Optimal design of robust feedforward compensator with gain and phase specifications

Comparative performance analysis of 2DOF state feedback controller for automatic generation control using whale optimization algorithm

Contact Info

Product

Resources

About