Power Monitoring and Control System for Medium Voltage Smart Grid Using IoT

This paper presents a power monitoring and control system for a medium voltage smart grid system. The smart grid interconnects the power sources between solar PV panel and 220V distribution network. This system consisting major components of inverters, measuring meters, solar charge controllers, relays, Arduino NANO and Raspberry Pi. The Current, power and energy readings are duly recorded. The Internet of Things (IoT) plays the vital role in the data communication between the sensors and electric power system. The voltage and current sensor data is used for the protection of power system network. In the traditional systems only the communication is uni-directional. The reliability of power supply is increased by used the bi directional network communication medium such as IoT. The tabulated results of voltage levels between 203.5V up to 212.8V shows the feasibility and effectiveness of proposed design. The proposed IoT model demonstrated the bidirectional communication from the sensors to the control unit and vice versa.


Introduction
Electric energy generated is transmitted and distributed through over head lines and underground cables at different voltage levels. In traditional system the power transactions were done via one way communication due to which generation of power at user side is not possible. This was overcome by the concepts of microgrid and smart grid. Smart grid uses the latest communicating technologies like smart metering systems and Internet of Things (IoT) which makes the tracking and controlling of power transactions more effective, flexible and transparent.
IoT is the most emerging technology where the devices communicate with each other through the cloud. IoT embedded devices will provide enhanced functionality without exposing the end user to the complexities of conventional computer based systems. These systems interface with the real world through sensors, and actuators. IoT devices are implemented in both hardware modules like Arduino, Raspberry Pi and software components. Smart metering technology with IoT makes the power transactions between the utility and consumers [1-6].
The smart grid includes hybrid power generation [7][8][9][10] integrating solar, wind and fuel cell energy resources. A Perturb and Observe (P&O) algorithm for Maximum Power Point Tracking (MPPT) is used for increasing power extraction efficiency [11][12][13][14]. In order to integrate the solar power generation with conventional grid fly back power processing converter is adopted [15]. Several monitoring techniques such as M2M low PAN wireless sensor network, integrating of renewable resources and traffic optimizing in smart grids are proposed in [16][17][18]. The main objective is to design the power monitoring and control system for a medium voltage smart grid using IoT.

Power Monitoring and Control system
The architecture of on grid solar power generation consisting of solar PV panels, MPPT solar charge controller, on grid inverter, storage batteries and three relays are shown in figure 1. The relay-1 shown in figure 1 is operated to determine the grid connected mode or islanded mode operation depending upon the supply from utility grid and charge condition of the batteries. If the batteries are fully charged the power generated by the solar panels is fed directly to the utility grid otherwise the power generated is used to charge the battery bank. The relay-2 is to connect and disconnect power supply from the solar PV panels while sending signal to the relay-1. If there is no power flow from the grid, the realy-2 disconnects the power supply form solar PV panels to the utility grid. In case of power flow from the grid was detected, the output power from the inverter is fed to grid.
The relay-3 connects or disconnects the battery from delivery the power to the load. This function is based on the incoming signal from the relay-2. If there is no incoming power from the utility grid relay-2 will send signal to relay-3 such that it connects battery bank to the load. In the same way if there is incoming power from the grid relay-3 disconnects the battery bank from the load. The power monitoring and control scheme in medium voltage solar power generation is shown in figure  2. The Device 1 consisting of Arduino nano, voltage sensor, current sensor and a relay circuit which is used to regulate the power supply of the solar PV panels which feeds to the utility grid or to the battery bank depending upon the setting parameters.
The device-2 consisting of Arduino nano, Kwh meter module and a relay circuit which is used to connect and disconnect from the utility grid by sensing the incoming or outgoing current at the output side of the on grid inverter of solar PV panels. The device-3 consisting of Arduino nano, voltage sensor, current sensor and a relay circuit which is used to connect and disconnect the battery banks from the load. The central controlling unit which is Raspberry pi communicates with all the three devices. The central controlling unit receives data and sends data to the Arduino nano devices through the cloud which can be remotely accessible with smart mobile or computer.

Results and Observations
The monitoring system parameters voltage, current, power and energy are obtained in intervals of time via cloud which is shown in figure 3.    figure 4. It was observed that the voltage values are in between 203.3V to 209.9V. The average value of all the events is 207.7 and standard deviation is 0.9 indicates that the voltage is monitored and controlled effectively.

Conclusion
The smart grid technology is the effective solution to perform the power transactions between the utility and the end users. In order to control distribution generating units of a microgrid, and monitor power transactions by different consumers effectively the Communication system play very important role. Therefore, A Power Monitoring and Control System for Medium Voltage Smart Grid Using IoT is developed. The voltage is controlled with a standard deviation of 0.9. The current values and energy consumed are constant at 0.07A and 0.05 respectively. The results obtained show the effectiveness of proposed scheme with and without load conditions.