DESAIN DAN ANALISIS HYBRID SYSTEM CONTROLLER PV-DIESEL BERBASIS FUZZY INFERENCE SYSTEM

Priswanto Priswanto, Widhatmoko HP, Daru Tri Nugroho, Agung Mubyarto, Alifa Aminatus

Abstract


Renewable energy power plants are very dependent on weather. This causes renewable energy power plants (solar cells) to become less reliable
individually. The electrical energy produced by solar cells is very influenced
by the intensity of sunlight received. The application of solar power plants
connected with diesel will produce a continuous supply of electrical energy
and at the same time play a role in saving the use of fuel oil. The problem is how to regulate the flow of energy in order to obtain an optimal and efficient system. The hybrid control system technology is designed to be able to regulate the continuity of energy flow to the load from PV connected to diesel (PV-diesel), and at the same time as an intelligent energy management system device that enables the use of energy more effectively, efficiently and optimally. This prototype simulation consists of ACS712 current sensor, voltage sensor, relays and display as the interface. There are three inputs namely SOC Battery, current generated photovoltaic and load current required. From the real data obtained from each input then converted into the percentage value. In this research there are 75 universal rules and range based on DOD 80%, the relationship of solar irradiation with current when parallel and the average energy needed in one day. This prototype will automatically make a decision on the relay based on the fuzzy rule that has been created. Testing the system by comparing the results of testing the system with fuzzy rule that has been made. This system has high accuracy with 96% accuration rate. From the results of this research it can be said that the prototype has been designed to work properly and in accordance with the expected.

Key words : hybrid controller, PV-diesel, fuzzy inference system, renewable
energy

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