Smart grid state estimation and stabilisation

Rana, Masud; Wang, Xiang; Wang, Gengkun

doi:10.1016/j.ijepes.2018.03.007

Cited by 41 publications

(19 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to (6), the power flow model for the reactive power of the n-th DG unit, can be written as follows,…”

Section: B Reactive Power Droop Control and Voltage Amplitude Restormentioning

confidence: 99%

“…M ICROGRIDS (MGs) have been introduced as a groundbreaking technology to modernize the electric power systems [1]- [4]. Therefore, important research efforts are currently underway to develop mathematical models and techniques to evaluate and improve their performance, both in the transient and steady state [5], [6]. Regarding the computation of the steady-state solution, this is not a simple task for nonlinear periodic switched networks.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Power flow modeling of islanded AC microgrids with hierarchical control

Tinajero

Segundo

Visairo

et al. 2019

International Journal of Electrical Power & Energy Systems

View full text Add to dashboard Cite

This paper presents the power flow modeling of droop-controlled distributed generation units with secondary frequency and voltage restoration control for hierarchically controlled islanded microgrids. These models are incorporated in the conventional Newton-Raphson power flow method as a new bus, without the necessity of a slack bus, and include the gains of the control systems that influence the steady-state solution. Two case studies are addressed. In the first case study, comparisons of the proposed models against the steady-state solutions obtained with PSCAD and Simscape Power System of Simulink, where the closed-loop controls are explicitly modeled, are presented. In the second case study, the proposed method is contrasted against the droop-based approach. The results obtained exhibit low computing effort, reliability, and effectiveness of the proposed models since quadratic convergence behavior is maintained independently of the size and topology of the microgrid. Besides, it is demonstrated that hierarchical and droop controllers lead to different solutions, which confirms the necessity of including the hierarchical control in the power flow model.

show abstract

“…According to (6), the power flow model for the reactive power of the n-th DG unit, can be written as follows,…”

Section: B Reactive Power Droop Control and Voltage Amplitude Restormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Power flow modeling of islanded AC microgrids with hierarchical control

Tinajero

Segundo

Visairo

et al. 2019

International Journal of Electrical Power & Energy Systems

View full text Add to dashboard Cite

show abstract

“…Interestingly, the cloud-based multi-agent systems for microgrid is presented in [11]. In this framework, smart grid, microgrid, and satellite position estimation [12], [13], [9], [14], [15].…”

Section: Related Workmentioning

confidence: 99%

“…In this framework, the IoT devices are used for accommodating home appliances information, and communicating between green homes and networked control system in cloud server via the internet. These type of Kalman filter algorithms are extensively applied in different applications such as smart grid, microgrid, and satellite position estimation , , , , .…”

Section: Introductionmentioning

confidence: 99%

Estimating and Controlling the Renewable Microgrid States Using IoT Infrastructure

Rana

Chen

2019

Asian Journal of Control

View full text Add to dashboard Cite

This paper considers the optimal filter design issue for microgrid state estimation and stabilisation under packet loss conditions. The considered internet of things (IoT) technologies collect system state information from sensors and send control messages to actuators where they are connected over a lossy communication network. From signal processing point of view, this paper develops an optimal state estimation algorithm using the mean squared error principle. Then a feedback controller is designed under the condition of packet dropouts in the communication network. Finally, the convergence of the developed algorithm is numerically shown. The performance of the proposed schemes are demonstrated using the renewable microgrid. KEYWORDSController under lossy channel, dynamic state estimation, internet of things, microgrid, packet dropouts the IoT devices are used for accommodating home appliances information, and communicating between green homes and networked control system in cloud server via the internet. These type of Kalman filter algorithms are extensively applied in different applications such as

show abstract

“…In fact, most firms with market power in the permits market often engage in an imperfectly competitive output market such as power sector [11,12,29] or iron and steel sector [28,30]. With the development of the microgrid [31][32][33][34][35][36][37], many renewable-energy power generation companies will also engage in imperfectly competitive output markets in the future. Hence, it is necessary to explicitly take into account the output market.…”

Section: Introductionmentioning

confidence: 99%

Market Power and Technology Diffusion in an Energy-Intensive Sector Covered by an Emissions Trading Scheme

Zeng

Zhu

2019

Sustainability

View full text Add to dashboard Cite

The emissions trading scheme (ETS) has been long advocated to address climate change not only because it is cost effective but also because it can provide economic incentives for the adoption of new technologies. The emissions abatement of the energy-intensive sector covered by ETS is of great significance for the whole nation to attain sustainable and low-carbon development, especially for developing countries. This paper investigates the effect of market power in the emissions trading market on the diffusion of a new emissions abatement technology when firms in the energy-intensive sector interact in an imperfectly competitive output market. In the model, each firm needs to determine the optimal time to adopt the new emissions abatement technology, taking into account its benefits and costs, as well as its rival's strategic behavior. With this framework, the results suggest that firms will delay adoption of the new emissions abatement technology in the presence of market power. Moreover, when the output demand is larger and more elastic, emissions abatement technology diffusion will occur earlier. It implies that the technology diffusion in the weak elastic sector, such as the Chinese iron and steel sector, may have more barriers than that in the strong elastic sector, such as the Chinese nonferrous metals sector.

show abstract

Smart grid state estimation and stabilisation

Cited by 41 publications

References 38 publications

Power flow modeling of islanded AC microgrids with hierarchical control

Power flow modeling of islanded AC microgrids with hierarchical control

Estimating and Controlling the Renewable Microgrid States Using IoT Infrastructure

Market Power and Technology Diffusion in an Energy-Intensive Sector Covered by an Emissions Trading Scheme

Contact Info

Product

Resources

About