Applying Genetic Algorithm to Minimize Power Loss and Establish Voltage Control P. Thirusenthil kumaran Assistant Professor - Department of EEE, Rajalakshmi Engineering College, Chennai, India C. Kamalakannan HOD- Department of EEE Rajalakshmi Engineering College, Chennai, India Anirudh Balaji Fourth Year, EEE, Rajalakshmi Engineering College, Chennai, India S. Badrinath Fourth Year, EEE, Rajalakshmi Engineering College, Chennai, India Akshay Vaidyanathan Fourth Year, EEE, Rajalakshmi Engineering College, Chennai India Abstract - In this paper, algorithm that was developed will be discussed for controlling the bus voltage action selection and reactive power of a generator in electrical power system. Genetic Algorithm (GA) with linear power flow equations was used to minimize the number of control actions and real power loss. Participating controls are selected and combined together. GA is used primarily to reduce the calculation time and it is apt for real time applications. Keywords: Genetic algorithm (GA), reactive power, reactive power control, voltage control. I. INTRODUCTION Basically, in electrical systems, bus voltage and reactive power parameters must be maintained within certain specified limits and any deviations or aberrations from these limits can be corrected by using Secondary Voltage Control (SVC). Instead of performing SVC by manual control by the use of an operator, which increases the risk of reaching an emergency state, we go in for automatic control SVC. In case of a manually controlled SVC, the experience and performance of the operator is key to the life of the electrical power system. In this paper, we have discussed that the Reactive power of generator and bus voltage constraint violations are eliminated with control action selection without automatic SVC. An allowance of + 5% of constraint violations is given and reaches unstable state if the violation exceeds the prescribed allowance of + 5%. In that situation, proper control action is to be taken. Line load was removed automatically by under voltage protection. The above problems can be solved by using Genetic Algorithm (GA) because it deals with both discrete and continuous variables, and can also deal with a multitude of optimization objectives. II. LITERATURE REVIEW AND SYSTEM MODELING When the limits are violated, control action is required to correct this emergency state [1]. Many methods were developed in the past for control action selection. The main problem that occurs in those methods is that the calculations treat all variables are continuous. In such case the solution is to round off the variables to a near discrete value which results in inadequate solutions [2]. The solutions also require large number of actions. By the following energy balance equation in every node m of a electricity supply system, the theoretical background of bus voltage control and generator reactive power control problem will be presented. A Pm = P Gm – P Lm (1) International Journal of Latest Trends in Engineering and Technology (IJLTET) Vol. 6 Issue 1 September 2015 268 ISSN: 2278-621X