High-Performance Robust Controller Design of Plug-In Hybrid Electric Vehicle for Frequency Regulation of Smart Grid Using Linear Matrix Inequality Approach

Das, Sajal K.; Rahman, Mizanur; Paul, Sanjoy Kumar; Armin, Maniza; Roy, Priyo Nath; Paul, Norottom

doi:10.1109/access.2019.2936400

Cited by 25 publications

(10 citation statements)

References 57 publications

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“…Also, several digital control techniques have been implemented for frequency regulation of power systems in [14], [15]. Furthermore, optimal control techniques such as; linear quadratic regulator (LQR) [16] and linear quadratic Gaussian (LQG) [17], have been applied for enhancing the frequency stability of the system. On the other hand, researchers have preferred to use the proportional-integral-derivative (PID) controller owing to its advantages (i.e.…”

Section: A Literature Reviewmentioning

confidence: 99%

Optimal Model Predictive and Linear Quadratic Gaussian Control for Frequency Stability of Power Systems Considering Wind Energy

et al. 2021

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This work presents a new robust control technique which combines a model predictive control (MPC) and linear quadratic gaussian (LQG) approach to support the frequency stability of modern power systems. Moreover, the constraints of the proposed robust controller (MPC-LQG) are fine-tuned based on a new technique titled Chimp optimization algorithm (ChOA). The effectiveness of the proposed robust controller is tested and verified through a multi-area power system (i.e., single-area and two-area power systems). Each area contains a thermal power plant as a conventional generation source considering physical constraints (i.e. generation rate constraint, and governor dead band) in addition to a wind power plant as a renewable resource. The superiority of the proposed robust controller is confirmed by contrasting its performance to that of other controllers which were used in load frequency control studies (e.g., conventional integral and MPC). Also, the ChOA's ingenuity is verified over several other powerful optimization techniques; particle swarm optimization, gray wolf optimization, and ant lion optimizer). The simulation outcomes reveal the effectiveness as well as the robustness of the proposed MPC-LQG controller based on the ChOA under different operating conditions considering different load disturbances and several penetration levels of the wind power.

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Section: A Literature Reviewmentioning

confidence: 99%

Optimal Model Predictive and Linear Quadratic Gaussian Control for Frequency Stability of Power Systems Considering Wind Energy

et al. 2021

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“…Recent years, a larger number of demand-side users have offered AGC service to power systems. Meanwhile, many AGC strategies have been proposed, enabling different types of demand-side resources to offer frequency regulation service without affecting the users [13][14][15][16][17][18][19][20][21].…”

Section: Demand-side Electric Users Providing Agc Servicementioning

confidence: 99%

“…The economic benefits of EVs providing frequency regulation is also proved in [18]. Other types of strategy, such as new controllers and game theoretic approaches, can also help EVs provide better regulation services in performance and economic benefits [19,20]. Moreover, those strategies or approaches barely affect the comfort and operation of users [21].…”

Section: Demand-side Electric Users Providing Agc Servicementioning

confidence: 99%

Flow Shop Providing Frequency Regulation Service in Electricity Market

Wang

Pei

et al. 2020

Energies

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Electricity cost is one of main production costs for flow shops. Providing frequency regulation services can help electric loads reduce their electricity costs. Previous studies mostly focus on automatic generation control (AGC) strategies for other types of electric loads, such as air conditioners, EVs or battery storage. In this paper, we find flow shops competent to follow regulation signals and avoid interrupts of processing with the help of scheduling optimization. This finding may be an aid for flow shops by availing regulation services to the market and making a profit. Hence, we propose an AGC strategy for optimizing flow shop scheduling, without affecting the operation. To formulate the bidding strategy for flow shops in regulation market, we considered as many relevant factors as possible, including the regulation performance and yield of flow shops, constraints on load power, regulation reserve capacity and machines operation, inventory of each semi-finished product, AGC strategy-as well as the coupling between the bids in both energy market and regulation market. Our case study shows the potential of the methodology proposed in this paper to cut down the electric cost of flow shops and supplies of performance-qualified frequency regulation service.

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“…In [13], an adaptive frequency droop control is proposed to provide the frequency regulation and to maintain the state-of-charge (SoC) level of EV battery at the desired level. An LQR-PID controller is proposed in [14] for EV to provide frequency regulation in two area power system. It is important to note that the response of RES and EV involve stochastic phenomenon.…”

Section: Introductionmentioning

confidence: 99%

Frequency Security Constrained Energy Management in an Isolated Power System

Akram

Mithulananthan

Shah

et al. 2020

Wseas Transactions on Power Systems

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Short-term frequency instability is one of the major challenges that arise due to large-scale penetration of converter interfaced renewable energy sources (RESs) in isolated power systems. The short-term frequency instability is associated with high values of rate of change of frequency (RoCoF) and larger frequency excursions. In this paper, a frequency constrained energy management algorithm is proposed. The proposed algorithm manages the power output of RESs, energy storage system, and electric vehicles (EVs) in such a way that the system keeps nonsynchronous power reserve for providing virtual inertia support to avoid high values of RoCoF and frequency excursions. The non-synchronous power reserve is readily available and when deployed can limit the RoCoF as per the required standard. The proposed management algorithm selects the non-synchronous power reserve from different resources, i.e., RES (solar PV, wind turbine), energy storage, and EV, depending on the availability and system loading conditions. Simulation results show the effectiveness of the proposed algorithm.

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High-Performance Robust Controller Design of Plug-In Hybrid Electric Vehicle for Frequency Regulation of Smart Grid Using Linear Matrix Inequality Approach

Cited by 25 publications

References 57 publications

Optimal Model Predictive and Linear Quadratic Gaussian Control for Frequency Stability of Power Systems Considering Wind Energy

Optimal Model Predictive and Linear Quadratic Gaussian Control for Frequency Stability of Power Systems Considering Wind Energy

Flow Shop Providing Frequency Regulation Service in Electricity Market

Frequency Security Constrained Energy Management in an Isolated Power System

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