An Adaptive-Then-Combine Dynamic State Estimation Considering Renewable Generations in Smart Grids

Abstract

The penetration of renewable distributed energy resources such as wind turbine has been dramatically increased in distribution networks. Due to the intermittent property, the wind power generation patterns vary, which may risk distribution network operations. So, it is intrinsically necessary to monitor wind turbines in a distributed way. This paper presents an adaptivethen-combine distributed dynamic approach for monitoring the grid under lossy communication links between the wind turbines and energy management system. Firstly, the wind turbine is represented by a state-space linear model, with sensors deployed to the obtain the system state information. Based on the mean squared error principle, an adaptive approach is proposed to estimate the local state information. The global estimation is designed by combining estimation results with weighting factors which are calculated by minimizing the estimation error covariance based on semidefinite programming. Finally, the convergence analysis indicates that the estimation error is gradually decreased, so the estimated state converges to the actual state. The efficacy of the developed approach is verified using the wind turbine and IEEE 6-bus distribution system.

IoT‐based cyber‐physical communication architecture: challenges and research directions

“…Without considering these impairments, the estimated system states cannot reflect the true system states. Consequently, it can cause social, economic, and national problems depending on impairments [29, 30]. Intelligent sensors and actuators design: Generally speaking, designing smart sensors and actuators are key to be interconnected for sustainable, clean, and green modern society.…”

“…1, pp. [25][26][27][28][29][30] This is an open access article published by the IET under the Creative Commons Attribution -NonCommercial License (http://creativecommons.org/licenses/by-nc/3.0/) communication background and their technical features need to know in advance. Table 1 illustrates the communication technologies, and their real-time applications [3,[14][15][16][17].…”

Blockchain in Smart Grids: A Review on Different Use Cases

“…Integrating distributed renewable energy resources whose power generation is highly fluctuating makes it very challenging for the utilities to estimate the state of the system. Some works [8,9,10] have proposed novel Kalman filter-based approaches for accurate microgrid state estimation and control for the smart grids. Their models encourage consumers to use environment-friendly renewable energy sources which will lead to many benefits such as line-loss reduction, reliability, energy efficiency, etc.…”

Fast terminal sliding mode control for improved transient state power sharing between parallel VSCs in an autonomous microgrid under different loading conditions

“…While in stand-alone mode, voltage source converters (VSCs) operate in grid-forming mode. For a grid-connected multi-area system with multiple renewable sources, the energy management system has been investigated in [1][2][3][4] through the state estimation approach. Furthermore, the communication-based method has also been presented in [5][6][7], where communication delays and packet loss problem have been envisaged.…”