Reliability Analysis of Power System by incorporating Wind farm using Modified Jelly Fish Search Algorithm

An electric utility's main goal is to fulfil the requirements and expectations of its customers by providing power. While maintaining a reasonable level of reliability, it will be done as cheaply as feasible. When there are uncertainties, like equipment failures, system reliability evaluation offers a framework to guarantee that the system will still function properly. Due to the numerous system states necessary for system operation, it is generally impossible to determine all potential failure states for the reliability indices. Many optimization techniques have been used to determine the reliability analysis of power system by incorporating the wind farm. Because of the random behavior of the wind generation, it is difficult to predict the reliability of the power system. Here in this paper an attempt is made to analysis the reliability indices with Jellyfish Search Algorithm (JFSA) by adding distribution generation to the existing system. To assess a power system's reliability for the purpose of planning generation expansion that includes wind energy reliability indices such as Loss of Load Expectation (LOLE), and Loss of Load Probability (LOLP) have been calculated. The variation of LOLP and LOLE with the variable wind power is analysed using Minitab statistical software tool. The equations have been derived for the LOLP and LOLE with the variation of wind power generation. The proposed methodology implemented on RBTS 6 bus system and IEEE 24 bus RTS system