A Novel Internet of Energy Based Optimal Multi-Agent Control Scheme for Microgrid including Renewable Energy Resources

Alhasnawi, Bilal Naji; Jasim, Basil H.; Rahman, Zain-Aldeen S. A.; Guerrero, Josep M.; Esteban, María Dolores

doi:10.3390/ijerph18158146

Cited by 45 publications

(20 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Cloud-enabled IoT is used to communicate between agents in the microgrid and data storage. The data is transmitted between [52] This layer enables powerful computers to store and process a significant volume of data from preceding layers [36].…”

Section: Proposed Internet Of Energy Communication Platformmentioning

confidence: 99%

See 1 more Smart Citation

A new Internet of Things based optimization scheme of residential demand side management system

Alhasnawi

Jasim

Mansoor

et al. 2022

IET Renewable Power Gen

Self Cite

View full text Add to dashboard Cite

The steady increase in the energy demand and the growing carbon footprint has forced electricity-based utilities to shift from their use of non-renewable energy sources to renewable energy sources. Furthermore, there has been an increase in the integration of renewable energy sources in the electric grid. Hence, one needs to manage the energy consumption needs of the consumers, more effectively. Consumers can connect all the devices and houses to the internet by using Internet of Things (IoT) technology. In this study, the researchers have developed and proposed a novel 2-stage hybrid method that schedules the power consumption of the houses possessing a distributed energy generation and storage system. Stage 1 modeled the non-identical Home Energy Management Systems (HEMSs) that can contain the DGS like WT and PV. The HEMS organise the controllable appliances after taking into consideration the user preferences, electricity prices and the amount of energy produced /stored. The set of optimal consumption schedules for every HEMS was estimated using a BPSO and BSA. On the other hand, Stage 2 includes a Multi-Agent-System (MAS) based on the IoT. The system comprises two portions: software and hardware. The hardware comprises the Base Station Unit (BSU) and many Terminal Units (TUs).

show abstract

Section: Proposed Internet Of Energy Communication Platformmentioning

confidence: 99%

“…The MQTT protocol does not permit the use of metadata to label messages. These topics could be repurposed to represent routing data [9,51,52]. The initialization of the connection by exchanging control packets between customers and the broker is shown in Figure 5a.…”

Section: 1mentioning

confidence: 99%

A new Internet of Things based optimization scheme of residential demand side management system

Alhasnawi

Jasim

Mansoor

et al. 2022

IET Renewable Power Gen

Self Cite

View full text Add to dashboard Cite

show abstract

“…Metadata cannot be used to label messages in the MQTT protocol. These topics could be used to express routing information [15,45,46]. Figure 6a depicts the initialization of the connection via exchanging control packets between customers and the broker (a).…”

Section: The Mqtt Knowledgementioning

confidence: 99%

A Novel Solution for Day-Ahead Scheduling Problems Using the IoT-Based Bald Eagle Search Optimization Algorithm

Alhasnawi¹,

Jasim

Siano

et al. 2022

Inventions

Self Cite

View full text Add to dashboard Cite

Advances in technology and population growth are two factors responsible for increasing electricity consumption, which directly increases the production of electrical energy. Additionally, due to environmental, technical and economic constraints, it is challenging to meet demand at certain hours, such as peak hours. Therefore, it is necessary to manage network consumption to modify the peak load and tackle power system constraints. One way to achieve this goal is to use a demand response program. The home energy management system (HEMS), based on advanced internet of things (IoT) technology, has attracted the special attention of engineers in the smart grid (SG) field and has the tasks of demand-side management (DSM) and helping to control equality between demand and electricity supply. The main performance of the HEMS is based on the optimal scheduling of home appliances because it manages power consumption by automatically controlling loads and transferring them from peak hours to off-peak hours. This paper presents a multi-objective version of a newly introduced metaheuristic called the bald eagle search optimization algorithm (BESOA) to discover the optimal scheduling of home appliances. Furthermore, the HEMS architecture is programmed based on MATLAB and ThingSpeak modules. The HEMS uses the BESOA algorithm to find the optimal schedule pattern to reduce daily electricity costs, reduce the PAR, and increase user comfort. The results show the suggested system’s ability to obtain optimal home energy management, decreasing the energy cost, microgrid emission cost, and PAR (peak to average ratio).

show abstract

“…The MQTT protocol is currently particularly applicable due to fast and reliable data exchange as well as communication encryption and security mechanisms [11][12][13][14][15][16][17][18][19][20][21][22][23][24]. In the article [11], the authors proposed a communication platform for a Multi-Microgrid (MMG) energy management system using a combination of communication protocols in a hierarchical architecture.…”

Section: Review Of Related Publicationsmentioning

confidence: 99%

The Use of the MQTT Protocol in Measurement, Monitoring and Control Systems as Part of the Implementation of Energy Management Systems

et al. 2022

View full text Add to dashboard Cite

The Internet of Things (IoT) market is currently one of the most dynamically developing branches of technology. The increase in the number of devices and their capabilities make them present in every area of life—from construction to medicine. Due to flourishing industrial automation and wireless connectivity, all devices in buildings can be networked, which significantly improves comfort, energy efficiency, and thus significantly affects the promotion of the idea of sustainable development. This article proposes to build a system to monitor an energy management system by collecting information about temperature, humidity and pressure. The concept of the system is based on the Message Queue Telemetry Transport (MQTT) communication protocol, a wireless network, an ESP8266 microcontroller and a BME280 sensor. Sensors and actuators are connected to the ESP8266, and a Mosquitto-based MQTT broker is placed on the RPi and set up for remote monitoring and control. An innovative approach to the use of database systems dedicated to time series on the example of InfluxDB and data visualization in the Grafana environment was also presented. The proposed system was built in laboratory conditions in 2022 and used to monitor and control energy consumption in real time, depending on Polish weather conditions.

show abstract

A Novel Internet of Energy Based Optimal Multi-Agent Control Scheme for Microgrid including Renewable Energy Resources

Cited by 45 publications

References 55 publications

A new Internet of Things based optimization scheme of residential demand side management system

A new Internet of Things based optimization scheme of residential demand side management system

A Novel Solution for Day-Ahead Scheduling Problems Using the IoT-Based Bald Eagle Search Optimization Algorithm

The Use of the MQTT Protocol in Measurement, Monitoring and Control Systems as Part of the Implementation of Energy Management Systems

Contact Info

Product

Resources

About