A Novel Adaptive Neural Network Constrained Control for a Multi-Area Interconnected Power System With Hybrid Energy Storage

Xu, Dazhuan; Liu, Jianxing; Yan, Xiangwu; Yan, Wenxu

doi:10.1109/tie.2017.2767544

Cited by 172 publications

(87 citation statements)

References 37 publications

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“…However, it is extremely hard to attain satisfactory dynamic performances by manual tuning of the PI controller parameters in a complex power system having various nonlinearities and uncertainties. 62 But, the optimal parameters of the PI controller can be achieved by using an effective intelligent technique. Therefore, the MFO algorithm has been employed to find the optimal gain values of the controllers.…”

Section: Mathematical Formulationmentioning

confidence: 99%

“…The PI controller is incorporated in both areas of the investigated system as well as in the DFIG‐based WTU, because of its straightforward and convenient structure, with no requirement of point‐by‐point data about the framework elements. However, it is extremely hard to attain satisfactory dynamic performances by manual tuning of the PI controller parameters in a complex power system having various nonlinearities and uncertainties . But, the optimal parameters of the PI controller can be achieved by using an effective intelligent technique.…”

Section: Introduction To Mfo Algorithmmentioning

confidence: 99%

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Grid frequency enhancement using coordinated action of wind unit with redox flow battery in a deregulated electricity market

Dhundhara

Verma

2020

Int Trans Electr Energ Syst

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Summary Growing electricity demand, environmental issues, and challenge to decrease dependence on fossil fuel resources have increased the inception of wind generation into the power system. However, higher penetration of wind‐based generating units into the existing grid can affect the working of the power system. Traditionally, a wind unit does not provide inertia, but collectively, wind units can have a notable impact on the dynamic performance of the power system. However, the battery energy storage systems have the potential to offer flexibility and ancillary supports to the power system. This article evaluates the impact of redox flow battery (RFB) in coordination with a doubly fed induction generator (DFIG)–based wind turbine unit (WTU) to enrich the dynamic performances of a multi‐source interconnected power system in a deregulated electricity market. The modified inertial control scheme is proposed for the DFIG unit that responds in the event of frequency deviation in the grid. The turbine sheds its kinetic energy and provides active power injection, thereby enhancing the frequency response of the system. The recently developed moth‐flame optimization (MFO) algorithm is employed for optimal tuning of the proportional‐integral (PI) controller and the speed regulator of a DFIG‐WTU. The simulation studies have been executed to analyze the impact of the RFB with WTU on the system frequency, tie‐line and different generating units power through a comparative study in terms of the settling time, and peak overshoot/undershoot in a deregulated electricity market. The analysis reveals that the WTU effectively contributes to sustaining the frequency and tie‐line power oscillations during abrupt load disturbances in the proposed power system. Moreover, the inclusion of RFB in coordination with the WTU helps to reduce the stress on a wind turbine during inertial control scheme. It can also reduce wind curtailments by absorbing excess power flowing through transmission lines, reduces wastage of green energy, and gives better dynamic response under different operating conditions of the deregulated electricity market.

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Section: Mathematical Formulationmentioning

confidence: 99%

Section: Introduction To Mfo Algorithmmentioning

confidence: 99%

Grid frequency enhancement using coordinated action of wind unit with redox flow battery in a deregulated electricity market

Dhundhara

Verma

2020

Int Trans Electr Energ Syst

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“…According to the reference power signal, the control method of DC/DC converters realizes the bidirectional power flow between the power grid and the HESS. A given reference power signal enables bidirectional power flow between the grid and the HESS [13]. P ci * is the power command output by the active fault-tolerant controller designed in this paper and then converted to the corresponding current command I * ci by calculation.…”

Section: Hybrid Energy Storage System and Actuator Fault Modelingmentioning

confidence: 99%

“…LFC of distributed hybrid energy storage systems can effectively improve the above-mentioned situation [12][13][14]. It is mainly used to suppress the power fluctuations and reduce the violent oscillation of the system and the peak-valley difference of the load power curve, thereby enhancing the power quality of the power grid.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, in order to ensure the active power balance of the power system and eliminate a series of negative effects brought by fluctuating power, it is necessary to adopt distributed hybrid energy storage equipment to adjust the fluctuating power. Several types of advanced energy storage technologies can be considered for the energy storage of a multi-area interconnected power system, e.g., lithium battery [15], electrochemical energy storage [16], superconducting magnetic energy storage [11][12][13], super capacitor energy storage [12,17], pumped-energy storage [18], flywheel energy storage [19]. Developing the electric load microforecasting modules in the energy management system provides a chance to optimally control the energy distribution in the power system [20].…”

Section: Introductionmentioning

confidence: 99%

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Observer-Based Sliding Mode FTC for Multi-Area Interconnected Power Systems against Hybrid Energy Storage Faults

Yang

Dong

et al. 2019

Energies

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An observer-based sliding mode fault-tolerant controller is developed in this paper, which is applied to an interconnected power system with a hybrid energy storage system (HESS). The model of the interconnected power system with HESS is introduced first. An observer is then proposed to estimate the unknown but bounded load disturbances and the actuator fault. The sliding mode fault-tolerant controller is further designed based on the observer ensuring that the area control error of the interconnected power system asymptotically converges to zero. The stability and the convergence of the whole system are proven based on the Lyapunov stability theory. Finally, the effectiveness of the proposed fault-control scheme is demonstrated through simulations.

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PID‐RLNN controllers for discrete mode LFC of a three‐area hydrothermal hybrid distributed generation deregulated power system

Das

Bera

Sarkar

2021

Int Trans Electr Energ Syst

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Summary The inequality between active power generation and load demand due to volatile power generation and random changes of load poses a challenge to maintain the system frequency. To address this, in the present work, reinforced learning neural network based–proportional‐integral‐derivative (PID‐RLNN) controllers are proposed in the discrete mode load frequency control (LFC) problems for a three‐area hydrothermal hybrid distributed generation (HDG) deregulated power system. The proposed power system is incorporated with super conducting magnetic energy storage system (SMES), and each control area is interconnected via AC/DC parallel links. The dynamic responses using PID‐RLNN controllers are compared with PID controllers and RLNN controllers for different loading conditions. The gains and parameters of all the controllers are optimized using grasshopper optimization algorithm (GhOA). Investigation reveals that the PID‐RLNN controllers give better dynamic performances compared to PID and RLNN controllers for different loading conditions. Sensitivity analyses are performed to investigate the robustness of the proposed controllers, and investigation reveals that their performances are quite robust for variation of inertia constant and loading conditions. The fluctuation of loads in each area is also considered to analyze the performances of proposed controllers and it is seen that the proposed PID‐RLNN controllers damp the oscillations of dynamic responses.

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A Novel Adaptive Neural Network Constrained Control for a Multi-Area Interconnected Power System With Hybrid Energy Storage

Cited by 172 publications

References 37 publications

Grid frequency enhancement using coordinated action of wind unit with redox flow battery in a deregulated electricity market

Grid frequency enhancement using coordinated action of wind unit with redox flow battery in a deregulated electricity market

Observer-Based Sliding Mode FTC for Multi-Area Interconnected Power Systems against Hybrid Energy Storage Faults

PID‐RLNN controllers for discrete mode LFC of a three‐area hydrothermal hybrid distributed generation deregulated power system

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