Application of Stochastic Decentralized Active Demand Response (DADR) System for Load Frequency Control

Benysek, G.; Bojarşki, Jacek; Smoleński, Robert; Jarnut, Marcin; Wermiński, Szymon

doi:10.1109/tsg.2016.2574891

Cited by 55 publications

(23 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These control actions are taken based on the signals detected locally as well as the control logic at each device. Decentralized DR systems assure the required high dynamic response (real‐time response), owing to the almost immediate decision over the load disconnection . The following are properties of the decentralized control mechanism. –Localized control thereby, prompt response. –Applicable for contingency conditions conditions also. –Limited visibility. …”

Section: Dr Control Architecturementioning

confidence: 99%

Opportunities and challenges of demand response in active distribution networks

Ponnaganti

Pillai

Bak‐Jensen

2017

WIREs Energy & Environment

View full text Add to dashboard Cite

In power systems, the installed generation capacity must exceed the annual peak demand, even though some capacity is kept idle most of the time. However, if it is uneconomical or not feasible to augment a sufficient capacity, the demand might exceed the available capacity. This mandates the system operator to shed the load in order to maintain security of the system. With the advent of advanced smart metering infrastructure, communication between system operator and end-use customers makes it possible to adjust/curtail/shift the demand with respect to the state of the system. The response of the demand commonly termed as demand response (DR) can be attained either by incentive-based or pricebased. With the help of DR, the renewable energy generation capacity can be increased by tuning the demand to match the variable and unpredictable power from renewable generation. It can also bring other benefits such as peak shaving, hosting capacity enhancement, and generation cost reduction. Furthermore, electric vehicles, heat pumps, and electric water heater can also be used as distributed storage resources to contribute to ancillary services, such as frequency/ voltage regulation, peak-shaving power or help to integrate fluctuating renewable resources. All these DR modes of operation need conventional regulatory frameworks and market design for capitalizing the available resources. Therefore, the objective of the study is to discuss the DR classification and their control strategies, DR role in microgrids and integration of renewable energy resources. Also, highlighted the opportunities and challenges along with the insights for the research scope associated with DR.

show abstract

Section: Dr Control Architecturementioning

confidence: 99%

Opportunities and challenges of demand response in active distribution networks

Ponnaganti

Pillai

Bak‐Jensen

2017

WIREs Energy & Environment

View full text Add to dashboard Cite

show abstract

“…The equivalent models mainly include the average system-frequency model (ASF) [14], [15], and SFR model [16], [18]. As the equivalent model with simple structure is capable of obtaining the analytical solution of the frequency response, it is applied to a wide variety of studies related to power system dynamics, such as demand response for frequency control [17], [19]- [21], and frequency-stability analysis [22]- [26].…”

Section: Introductionmentioning

confidence: 99%

Generic System Frequency Response Model for Power Grids With Different Generations

Huang

Jin

et al. 2020

IEEE Access

View full text Add to dashboard Cite

With the increasing integration of renewable generation, many power grids have gradually formed AC-DC hybrid systems. Abnormal operations, such as DC blocking faults and generation trips, have led to several incidents of large frequency deviations. However, current simulation methods result in large errors when estimating the frequency regulation capacity of the system. This paper proposes a generic system frequency-response (SFR) model that can be used to estimate the dynamic frequency behavior of modern large-scale power systems. The limitations of the classical SFR model is first analyzed. Second, a generic SFR model with a more reasonable structure is presented, and the parameter-determination strategy is proposed using both the dynamic and steady-state data. Then, the generic SFR model is built and verified by a simulation case. Finally, a generic SFR model with satisfactory accuracy is established for the power grid in East China based on the measured disturbance data. The results show that the proposed model is promising for broad potential applications.

show abstract

“…In [22], a comprehensive strategy is regarded as control mechanism by deploying the plug-in hybrid electric vehicles (PHEVs) and controllable gadgets in order to alleviate frequency excursion during some challenges in relation to the power plants. Moreover, Benysek et al [23] have introduced a stochastic decentralized active demand response (DADR) for the frequency regulation of a power plants. The results of investigations have proved that the proposed stochastic DADR method in this paper, due to its high dynamic response in dealing with disturbance phenomena, can be deployed as part of both the primary and the supplementary load frequency control in modern power systems.…”

Section: Introductionmentioning

confidence: 99%

Coordination between Demand Response Programming and Learning-Based FOPID Controller for Alleviation of Frequency Excursion of Hybrid Microgrid

2020

View full text Add to dashboard Cite

In recent years, residential rate consumptions have increased due to modern appliances which require a high level of electricity demands. Although mentioned appliances can improve the quality of consumers’ lives to a certain extent, they suffer from various shortcomings including raising the electricity bill as well as serious technical issues such as lack of balance between electricity generation and load disturbances. This imbalance can generally lead to the frequency excursion which is a significant concern, especially for low-inertia microgrids with unpredictable parameters. This research proposes an intelligent combination of two approaches in order to alleviate challenges related to the frequency control mechanism. Firstly, a learning-based fractional-order proportional-integral-derivative (FOPID) controller is trained by recurrent adaptive neuro-fuzzy inference (RANFIS) in the generation side during various operational conditions and climatic changes. In the following, a decentralized demand response (DR) programming in the load side is introduced to minimize consumption rate through controllable appliances and energy storage systems (ESSs). Furthermore, parameters uncertainties and time delay, which are generally known as two main concerns of isolated microgrids, are regarded in the frequency plan of a low-inertia microgrid including renewable energy sources (RESs), and energy storage systems (ESSs). Simulation results are illustrated in three different case studies in order to compare the performance of the proposed two methods during various operational conditions. It is obvious that the frequency deviation of microgrid can be improved by taking advantage of intelligent combination of both DR program and modern control mechanism.

show abstract

Application of Stochastic Decentralized Active Demand Response (DADR) System for Load Frequency Control

Cited by 55 publications

References 25 publications

Opportunities and challenges of demand response in active distribution networks

Opportunities and challenges of demand response in active distribution networks

Generic System Frequency Response Model for Power Grids With Different Generations

Coordination between Demand Response Programming and Learning-Based FOPID Controller for Alleviation of Frequency Excursion of Hybrid Microgrid

Contact Info

Product

Resources

About