LFC model for multi-area power systems considering dynamic demand response

Pourmousavi, S. Ali; Behrangrad, Mahdi; Ardakani, Ali Jahanbani

doi:10.1109/tdc.2016.7519908

Cited by 14 publications

(8 citation statements)

References 12 publications

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“…The feedback controller in the LFC model is responsible for frequency error correction, where its output is the amount of power, i.e., ΔP α,C ξ T = {ΔP α,C t,ξ T ∈ R + ; t ∈ τ }, that should be changed to stabilise frequency. Various control methodologies, such as a linear-quadratic regulator (LQR) in [29] and a model-predictive control in [30], have been developed for this purpose. In addition to primary and secondary loops, there is a tertiary frequency control loop that is eliminated from the LFC model as it is comparatively slow.…”

Section: ) Transmission Systemmentioning

confidence: 99%

See 1 more Smart Citation

A Control-Based Method to Meet TSO and DSO Ancillary Services Needs by Flexible End-Users

Zotti

Pourmousavi

Morales

et al. 2020

IEEE Trans. Power Syst.

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This paper presents a new methodology to exploit consumers' flexibility for the provision of ancillary services (AS) in the smart grid era. The proposed framework offers a controlbased approach that adopts price signalsas the economic driver to modulate consumers' response. In this framework, various system operators broadcast price signals independently to fulfil their AS requirements. Appropriate flexibility estimators are developed from the transmission system operator (TSO) and distribution system operator (DSO) perspectives for price generation. An artificial neural network (ANN) controller is used for the TSO to infer the price-consumption reaction from pools of consumers in its territory. A proportional-integral (PI) controller is preferred to represent the consumers' price-response and generate timevarying electricity prices at the DSO level for voltage management. A multi-timescale simulation model is built in MATLAB to assess the proposed methodology in different operational conditions. Numerical analyses show the applicability of the proposed method for the provision of AS from consumers at different levels of the grid and the interaction between TSO and DSOs through the proposed framework.

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Section: ) Transmission Systemmentioning

confidence: 99%

“…The power disturbance and the resulting frequency deviation are denoted by ω t,ξ T 1 and Δf t,ξ T 1 , respectively, for area T 1 , and ω t,ξ T 2 and Δf t,ξ T 2 , respectively, for area T 2 at time t ∈ τ . An LQR is used in this study as the LFC controller, whose design is discussed in [29].…”

Section: ) Transmission Systemmentioning

confidence: 99%

A Control-Based Method to Meet TSO and DSO Ancillary Services Needs by Flexible End-Users

Zotti

Pourmousavi

Morales

et al. 2020

IEEE Trans. Power Syst.

Self Cite

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“…In general, we use the method of near linearization to deal with the power system model. We usually adopt the linearization method near a certain working point to deal with the power system model [19,20]. A linear model is established to represent the dynamic model of system.…”

Section: Load Frequency Controlmentioning

confidence: 99%

H∞ Robust Load Frequency Control for Multi-Area Interconnected Power System with Hybrid Energy Storage System

Yan

Sheng

et al. 2018

Applied Sciences

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To enhance the quality of output power from regional interconnected power grid and strengthen the stability of overall system, a hybrid energy storage system (HESS) is applied to traditional multi-area interconnected power system to improve the performance of load frequency control. A novel topology structure of interconnected power system with the HESS is proposed. Considering the external disturbances of the system and the interconnected factors between each control area, the dynamic mathematical model of each area in the new topology is established in the form of state-space equation. Combining the state feedback robust control theory with linear matrix inequality (LMI) theory, the controller is designed to calculate how much power the HESS should provide to power grid in real time, according to the load change of system. Taking the four-area interconnected power system as study object, the simulation results obtained by MATLAB prove that the application of HESS can well improve the frequency stability of multi-area interconnected system and the H∞ robust controller proposed in this paper is effective.

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“…Therefore, some researchers have designed corresponding control strategies for different characteristics. Considering the communication delay characteristics of DSRs, S. Ali Pourmousavi et al [16,17] first propose the single-area and multi-area models of DSRs participating in the load frequency control (LFC) system. Then, Yi et al [18] treated time delay as an inertia element.…”

Section: Introductionmentioning

confidence: 99%

Robust H∞ Load Frequency Control of Power Systems Considering Intermittent Characteristics of Demand-Side Resources

Yuan

Ding

Li³

et al. 2020

Electronics

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Recently, demand-side resources (DSRs) have proceeded to participate in frequency control of the power systems. Compared with traditional generation-side resources, DSRs have unique intermittent characteristics. Taking aggregation of air conditions as an example, they must take a break after providing power support for a period of time considering the user comfort. This behavior, known as the intermittent characteristic, obviously affects the stability of the power systems. Therefore, this paper designs a corresponding controller for DSRs based on the intermittent control method. The designed controller is incorporated into the traditional load frequency control (LFC) system. The time delay is also considered. A rigorous stability proof and the robust H ∞ performance analysis is presented for the new LFC system. Then, the sufficient robust frequency stabilization result is presented in terms of linear matrix inequalities (LMIs). Finally, a two-area power system is provided to illustrate the obtained results. The results show that the designed intermittent controller can mitigate the impact of intermittent characteristics of DSRs.

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LFC model for multi-area power systems considering dynamic demand response

Cited by 14 publications

References 12 publications

A Control-Based Method to Meet TSO and DSO Ancillary Services Needs by Flexible End-Users

A Control-Based Method to Meet TSO and DSO Ancillary Services Needs by Flexible End-Users

H∞ Robust Load Frequency Control for Multi-Area Interconnected Power System with Hybrid Energy Storage System

Robust H∞ Load Frequency Control of Power Systems Considering Intermittent Characteristics of Demand-Side Resources

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