scholarly journals A fuzzy based parametric monitoring and control algorithm for distinctive loads to enhance the stability in rural islanded microgrids

2020 ◽  
Vol 33 (2) ◽  
pp. 227-241
Author(s):  
Fawad Azeem ◽  
Ghous Narejo
Keyword(s):  
Control Algorithm ◽  
Fuzzy Controller ◽  
Load Control ◽  
Prolonged Storage ◽  
Monitoring And Control ◽  
Skilled Manpower ◽  
Parameter Variations ◽  
Load Monitoring ◽  
The Stability ◽  
And Control

Effective monitoring and control of isolated rural microgrid in the developing world is challenging. The modern communication and monitoring is difficult to handle in such communities due to a complicated approach to the area, lack of modern facilities and unavailability of skilled manpower. Implementation of a microgrid in such areas using intermittent renewable sources and limited storage is challenging. Uncontrolled load consumption leads to the system-wide outages due to prolonged storage utilization in peak hours and is referred here as battery storage stress hours (BSSH). This research is focused to study and analyze the behavior of parametric load monitoring and control algorithm that could control the distinctive load of the microgrid during BSSH. In the proposed algorithm, the residential loads are distinctively controlled while utilizing the three locally available parameters that are the state of the charge of storage, solar irradiations and ambient temperature. In other words, the natural parameter variations have been uniquely utilized as a monitoring tool for load control. The fuzzy controller takes a decision for the activation or deactivation of any load based on the three parameters variation ranges. It is observed from the simulation and experimental results that while only utilizing locally available parameters the effective load control is possible.

Control of an Asynchronous Electric Drive Based on Forecasting Its State

2021 ◽  
Vol 64 (3) ◽  
pp. 45-52
Author(s):  
Evgeny Eshchin ◽  
Keyword(s):  
Electric Drive ◽  
Control Algorithm ◽  
Asynchronous Motor ◽  
Quality Of Control ◽  
Asynchronous Electric Drive ◽  
Theory Of Optimal Control ◽  
The Stability ◽  
Control System Model ◽  
And Control

Variants of constructing control systems with a lagging argument for the positioning problem of an asyn-chronous electric motor (IM) and the problem of energy-saving AM control are considered. Variants of control of an asynchronous electric drive with IM on the basis of predicting its state are considered. The analytical de-sign of the predictor (ADP) is an asynchronous motor control algorithm based on the mathematical theory of optimal control (L.S. Pontryagin's maximum principle). The control algorithm (ADP) ensures the achievement of the minimum value of the target functional, which (functional), in contrast to the structure of the classical pre-dictive control system (Model Predictive Control - MPC), is clearly not part of the ADP. Calculations of the movements of an electric drive with an IM in the control modes of its state, taking into account delays along the channels for assessing its state and control, as well as using predictors, are given. The effectiveness of the in-troduction of predictors to improve the stability and quality of control of an electric drive with an IM has been established.

scholarly journals Multi-Pattern Data Mining and Recognition of Primary Electric Appliances from Single Non-Intrusive Load Monitoring Data

Energies ◽  
2019 ◽  
Vol 12 (6) ◽  
pp. 992 ◽  
Author(s):  
Shengli Du ◽  
Mingchao Li ◽  
Shuai Han ◽  
Jonathan Shi ◽  
Heng Li
Keyword(s):  
Clustering Algorithm ◽  
Belief Propagation ◽  
Graph Model ◽  
Electric Power Industry ◽  
Factor Graph ◽  
Monitoring And Control ◽  
Factor Graph Model ◽  
Load Monitoring ◽  
Actual Energy Consumption ◽  
And Control

The electric power industry is an essential part of the energy industry as it strengthens the monitoring and control management of household electricity for the construction of an economic power system. In this paper, a non-intrusive affinity propagation (AP) clustering algorithm is improved according to the factor graph model and the belief propagation theory. The energy data of non-intrusive monitoring consists of the actual energy consumption data of each electronic appliance. The experimental results show that this improved algorithm identifies the basic and combined class of home appliances. According to the possibility of conversion between different classes, the combination of classes is broken down into different basic classes. This method provides the basis for power management companies to allocate electricity scientifically and rationally.

Monitoring and control of the biogas process based on propionate concentration using online VFA measurement

2008 ◽  
Vol 57 (5) ◽  
pp. 661-666 ◽  
Author(s):  
Kanokwan Boe ◽  
Jean-Philippe Steyer ◽  
Irini Angelidaki
Keyword(s):  
Control Algorithm ◽  
Biogas Production ◽  
Stable Process ◽  
Monitoring And Control ◽  
Control Approach ◽  
Logic Control ◽  
Flow Limit ◽  
Simple Logic ◽  
And Control ◽  
Biogas Process

Simple logic control algorithms were tested for automatic control of a lab-scale CSTR manure digester. Using an online VFA monitoring system, propionate concentration in the reactor was used as parameter for control of the biogas process. The propionate concentration was kept below a threshold of 10 mM by manipulating the feed flow. Other online parameters such as pH, biogas production, total VFA, and other individual VFA were also measured to examine process performance. The experimental results showed that a simple logic control can successfully prevent the reactor from overload, but with fluctuations of the propionate level due to the nature of control approach. The fluctuation of propionate concentration could be reduced, by adding a lower feed flow limit into the control algorithm to prevent undershooting of propionate response. It was found that use of the biogas production as a main control parameter, rather than propionate can give a more stable process, since propionate was very persistent and only responded very slowly to the decrease of the feed flow which lead to high fluctuation of biogas production. Propionate, however, was still an excellent parameter to indicate process stress under gradual overload and thus recommended as an alarm in the control algorithm.

scholarly journals Fault-Tolerant Temperature Control Algorithm for IoT Networks in Smart Buildings

Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3430 ◽  
Author(s):  
Roberto Casado-Vara ◽  
Zita Vale ◽  
Javier Prieto ◽  
Juan Corchado
Keyword(s):  
Internet Of Things ◽  
Continuous Time ◽  
Control Algorithm ◽  
Fault Tolerant ◽  
The Internet ◽  
Monitoring And Control ◽  
Network Nodes ◽  
Reliable Monitoring ◽  
And Control ◽  
The Internet Of Things

The monitoring of the Internet of things networks depends to a great extent on the availability and correct functioning of all the network nodes that collect data. This network nodes all of which must correctly satisfy their purpose to ensure the efficiency and high quality of monitoring and control of the internet of things networks. This paper focuses on the problem of fault-tolerant maintenance of a networked environment in the domain of the internet of things. Based on continuous-time Markov chains, together with a cooperative control algorithm, a novel feedback model-based predictive hybrid control algorithm is proposed to improve the maintenance and reliability of the internet of things network. Virtual sensors are substituted for the sensors that the algorithm predicts will not function properly in future time intervals; this allows for maintaining reliable monitoring and control of the internet of things network. In this way, the internet of things network improves its robustness since our fault tolerant control algorithm finds the malfunction nodes that are collecting incorrect data and self-correct this issue replacing malfunctioning sensors with new ones. In addition, the proposed model is capable of optimising sensor positioning. As a result, data collection from the environment can be kept stable. The developed continuous-time control model is applied to guarantee reliable monitoring and control of temperature in a smart supermarket. Finally, the efficiency of the presented approach is verified with the results obtained in the conducted case study.

Method of Compensation Control for Shaking Table

2011 ◽  
Vol 199-200 ◽  
pp. 1397-1404
Author(s):  
Zhen Bao Li ◽  
Zhen Yun Tang ◽  
Jin Bao Ji ◽  
Xiao Liang Li ◽  
Da Xing Zhou ◽  
...  
Keyword(s):  
Control Algorithm ◽  
Variable Parameter ◽  
Shaking Table ◽  
Shaking Table Tests ◽  
Stability And Control ◽  
Compensation Control ◽  
Narrow Bandwidth ◽  
The Stability ◽  
And Control ◽  
Control Accuracy

This paper presents the defects existing in shaking table control including the overshoot of displacement under low-middle frequency input using three variable parameter controls, the narrow bandwidth resulting from the performance of servo-valve and low accuracy of seismic wave reproduction because of specimen and table interaction. The effects of these factors on the stability and control accuracy of shaking table are discussed, and then the reasons of these problems existing are analyzed. The aim of this paper is to improve the stability and control accuracy of shaking table, thus, some corresponding strategies for compensation control are proposed. And a series of shaking table tests with one-story frame and two-story frame for verifying the validity of compensation control algorithm are performed.

Distributed Measuring and Control System of Torque Rheometer

2012 ◽  
Vol 468-471 ◽  
pp. 1486-1489
Author(s):  
Peng Wang ◽  
Jian Yan ◽  
Ting Chen ◽  
Ming Li
Keyword(s):  
Control System ◽  
Pid Control ◽  
Control Algorithm ◽  
Data Link ◽  
Measurement And Control System ◽  
Response Characteristics ◽  
The Stability ◽  
Link Layer Protocol ◽  
And Control ◽  
Measurement And Control

This paper presents a new distributed control system used in torque rheometer. It can overcome shortcomings in traditional control system of torque rheometer and optimize overall performance of the system. The measurement and control system was designed by modeling method. The enhanced PID control algorithm and integration separation digital PID control algorithm were adopted to improve dynamic response characteristics. The Modbus communication protocol was selected as data link layer protocol of communications network. The monitoring software was developed by Visual Basic. A large number of experiments demonstrate that the stability of system is improved greatly and maintenance and extension of instrument become easier.

scholarly journals Evaluation of a LoRa Mesh Network for Smart Metering in Rural Locations

Electronics ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 751
Author(s):  
Anup Marahatta ◽  
Yaju Rajbhandari ◽  
Ashish Shrestha ◽  
Ajay Singh ◽  
Anup Thapa ◽  
...  
Keyword(s):  
Smart Grids ◽  
Cost Effective ◽  
Energy System ◽  
Mesh Network ◽  
Smart Metering ◽  
Monitoring And Control ◽  
Smart Meters ◽  
Load Monitoring ◽  
Iot Devices ◽  
And Control

Accompanying the advancement on the Internet of Things (IoT), the concept of remote monitoring and control using IoT devices is becoming popular. Digital smart meters hold many advantages over traditional analog meters, and smart metering is one of application of IoT technology. It supports the conventional power system in adopting modern concepts like smart grids, block-chains, automation, etc. due to their remote load monitoring and control capabilities. However, in many applications, the traditional analog meters still are preferred over digital smart meters due to the high deployment and operating costs, and the unreliability of the smart meters. The primary reasons behind these issues are a lack of a reliable and affordable communication system, which can be addressed by the deployment of a dedicated network formed with a Low Power Wide Area (LPWA) platform like wireless radio standards (i.e., LoRa devices). This paper discusses LoRa technology and its implementation to solve the problems associated with smart metering, especially considering the rural energy system. A simulation-based study has been done to analyse the LoRa technology’s applicability in different architecture for smart metering purposes and to identify a cost-effective and reliable way to implement smart metering, especially in a rural microgrid (MG).

Technology Research Vehicle Braking Stability Control

2014 ◽  
Vol 602-605 ◽  
pp. 1219-1222
Author(s):  
Ya Rong Liu
Keyword(s):  
Vehicle Dynamics ◽  
Fuzzy Controller ◽  
Control Variable ◽  
Stability Control ◽  
Technology Research ◽  
Dynamics Model ◽  
Sideslip Angle ◽  
Yaw Rate ◽  
The Stability ◽  
And Control

In this paper, the stability of the car when braking, the establishment of a complete vehicle dynamics model to analyze the main causes and influencing factors of automobile brake instability. Select the vehicle yaw rate and sideslip angle as the control variable, meaning the use of certain applications of fuzzy control theory, the ESP fuzzy controller, and control strategy simulation with.

Switched Control Strategy for Networked System with Multi-Rate Input Sampling

2011 ◽  
Vol 128-129 ◽  
pp. 1070-1074
Author(s):  
Dong Song Luo ◽  
Li Zhou
Keyword(s):  
Control Strategy ◽  
Control Algorithm ◽  
Networked Control System ◽  
System Configuration ◽  
Sampling System ◽  
Lifting Technique ◽  
Communication Capacity ◽  
Switched Control ◽  
The Stability ◽  
And Control

In this paper, control problem of networked control system with multi-rate input sampling is considered. By lifting technique, the system is transformed into a single-rate sampling system. Channel transmission strategies for both output and input channel are presented in view of the limited communication capacity. Such strategies lead to a switched system configuration. Then, switched control strategy is implemented and control algorithm that guarantees the stability of the systems is presented.

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