Smart Real Time(SRT) load management system through mobile app.

The serious growth in electricity demand in Pakistan and other developing countries has posed a serious challenge to power distribution systems. In fact, most utilities must follow a load-shedding trend to deal with this difficulty. Load shedding means cutting off supply where demand is greater than

Project Title

Smart Real Time(SRT) load management system through mobile app.

Project Area of Specialization

Electrical/Electronic Engineering

Project Summary

The serious growth in electricity demand in Pakistan and other developing countries has posed a serious challenge to power distribution systems. In fact, most utilities must follow a load-shedding trend to deal with this difficulty. Load shedding means cutting off supply where demand is greater than a total generation to prevent system failures. Although utility companies are warning consumers to reduce the load on their monthly bills during peak hours. It is clear how tiresome and difficult to manually switch on and off the heavy load during peak times. The system estimated cost is around Rs 35054.

In this work, the simulation of a single house for automatic load reduction at peak times is carried out. Then a hardware prototype is designed and applied to validate the proposed device. We present the architecture, design and implementation framework for an Internet of Things (IoT) and cloud computing-based Energy Management System (EMS). Our technical EMS is implemented on a Projectprinted circuit board (PCB) for easy installation in consumer buildings, where it performs the following tasks: (a) monitors the power consumption of electrical devices using our current sensors and the designed voltage, (b) shows the units consumed in real-time, as well as the amount of the consumed bill to the consumer in the mobile application, (c) uploads the collected data to the Blynk cloud via many communication protocols. IoT generates the Message Queuing Telemetry Transport (MQTT) consumer load profile, which can be accessed via the mobile app and web portal, (d) mobile app design template for interactions with the hardware, (e) includes AI technology for the management of loads at peak times and for automatic load management on the demand side, (f) notifications and suggestions for balancing are sent ar the load on the consumer side. These load profiles serve as input for the implementation of the various Demand Side Management (DSM) approaches. The proposed device can be implemented as a single additional tool already available on power meters and can be quickly adopted by power utilities in developing countries to avoid the load shedding trend.

Project Objectives

1. Real-time Management

2. Automation (threshold)

3. Message

4. Mobile App Control

5.Using IOT & ESP-32

6. Demand-side management

7. Reduced the load from the power station 

8. Less energy consumption and less bill.

9. Recommendation & Suggestions.

Project Implementation Method

First, we use a microprocessor ESP-32. Highly use for IoT projects. Then, we use Blynk for the mobile application and desktop website. Esp-32 is connected to Blynk using  Arduino IDE for coding. Prototype at Blynk is being built for switches, values(voltages, current and power) showing meter, Graph and also being built for bill monitoring. CT measures the current and it is being shown through ESP-32 at Blynk. PT measures the voltage and it is being shown through ESP-32 at Blynk.  Also, power reading is shown using power formulae. The relay driver is connected to ESP-32 for controlling relays connected at the other end of the relay driver. Home automation is done and also used Artificial intelligence technique for on/off relay automatically at the specific given time. At the peak-hours time, fewer units will be consumed as being warned through the application message. Arduino IDE is being used for ESP-32 and Blynk coding.

Benefits of the Project

1. Reduced the load from the power station 

2. Price and load control of demand-side management.

3. During peak hours load is balanced automatically through AI technique.

4. Consumers can easily exceed their load and units using mobile apps.

5. Real-time consumption of energy is shown including consumed units.

6. When the demand-side load is balanced as per yearly less energy will be consumed thus reducing the energy consumption

Technical Details of Final Deliverable

1. Prototype for Blynk and coding for Esp32 for current, voltage, and power readings.
Connected Esp32 to Blynk mobile application and computer website.

2. Home automation.
Coding for relay and Blynk switches prototype.

3. AI technique Units & prices Data storing.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Energy

Other Industries

Others

Core Technology

Internet of Things (IoT)

Other Technologies

Artificial Intelligence(AI)

Sustainable Development Goals

Affordable and Clean Energy, Decent Work and Economic Growth, Industry, Innovation and Infrastructure, Sustainable Cities and Communities, Responsible Consumption and Production

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com