Autonomous algorithm for start-up operation of nuclear power plants by using LSTM

Abstract

Autonomous operation is one of the technologies of the forth-industrial revolution that is attracting attention in the world due to the development of new computer algorithms and the hardware performance. Its main core technology is based on artificial intelligent (AI). Autonomous control, which is a high level of automation, is having the power or ability of self-governance in the overall system without human intervention. This study aims to develop an autonomous algorithm to control the NPPs during start-up operation by using Long-Short Term Memory (LSTM) that is one of the recurrent neural network (RNN) methods. RNN, which is a type of AI method, is suitable for application to the NPP system because it can help to calculate the interaction of non-linear parameters as well as to capture the pattern of time series parameters. This study suggests a conceptual design for autonomous operation during start-up operation from 2% power to 100% power in nuclear power plants.