Improved load frequency control of power system using LMI based PID approach

Singh, Vijay Pratap; Kishor, Nand; Samuel, Paulson

doi:10.1016/j.jfranklin.2017.08.031

Cited by 67 publications

(93 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A comparison of the controller gains, the value of objective function and the performance indices obtained by applying Algorithm 1 (Fig. 2) with that of [2,3,5,6] are given in Table 2. The system response for the frequency deviation is shown and compared with [2,3,5,6] in Fig.…”

Section: Case 1 (H = 0)mentioning

confidence: 99%

“…Proportional-integral-derivative(PID) controllers have been extensively deployed in several industrial applications, owing to their simple and robust configuration. Besides, PID controllers have also been reported in the literature for solving the LFC problem [2][3][4][5][6][7]. Decentralised PID controller for LFC system using an internal model control design method is presented in [2].…”

Section: Introductionmentioning

confidence: 99%

“…Frequency response matching technique is used to design the decentralised PID controller [5]. LMIs-based approach to obtain an optimised PID controller for multi-area LFC system is presented in [6]. PID controller for the five-area LFC system is designed in [7].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Event‐triggered based decentralised control for frequency regulation of power systems

Dahiya

Mukhija

Saxena

2020

IET Generation, Transmission & Distribution

View full text Add to dashboard Cite

Section: Case 1 (H = 0)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Event‐triggered based decentralised control for frequency regulation of power systems

Dahiya

Mukhija

Saxena

2020

IET Generation, Transmission & Distribution

View full text Add to dashboard Cite

“…Ref. [28] presented PID based LFC designed via linear matrix inequality (LMI) incorporated in single and two-interconnected systems. In Ref.…”

Section: Introductionmentioning

confidence: 99%

Multi-Verse Optimizer for Model Predictive Load Frequency Control of Hybrid Multi-Interconnected Plants Comprising Renewable Energy

et al. 2020

View full text Add to dashboard Cite

This paper presents a recent metaheuristic optimization approach of multi-verse optimizer (MVO) to design load frequency control (LFC) based model predictive control (MPC) incorporated in large multi-interconnected system. The constructed system comprises six plants with renewable energy sources (RESs). MVO is employed to determine the optimal parameters of MPC-LFC to achieve the desired output of the interconnected system in case of load disturbances. The presented system comprises reheat thermal, hydro, photovoltaic (PV) model with maximum power point tracker (MPPT), wind turbine (WT), diesel generation (DG), and superconducting magnetic energy storage (SMES). The integral time absolute error (ITAE) of the frequencies and tie-line powers deviations is proposed as objective function. The effects of governor dead zone and generation rate constraint (GRC) of thermal plants are considered. The performance of the proposed MPC optimized via MVO is compared with the other designed via intelligent water drops (IWD) and genetic algorithm (GA). Additionally, the robustness of the proposed MPC-LFC based MVO with variation of the system parameters is presented. The obtained results confirmed the superiority and reliability of the proposed controller compared to the others.

show abstract

“…In the literature, numerous AGC schemes such as optimal control, 1 conventional integral (I), 2 and linear matrix inequality 3 approaches have been executed to advance the AGC performance of several systems. Though, stated strategies request information about states of the system, which is difficult to retrieve completely.…”

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

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

Improved load frequency control of power system using LMI based PID approach

Cited by 67 publications

References 31 publications

Event‐triggered based decentralised control for frequency regulation of power systems

Event‐triggered based decentralised control for frequency regulation of power systems

Multi-Verse Optimizer for Model Predictive Load Frequency Control of Hybrid Multi-Interconnected Plants Comprising Renewable Energy

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

Contact Info

Product

Resources

About