Inertia Theory Frequency Dynamic Analysis and Control of Power System with High Proportion of Renewable Source

• Published in: Mathematical problems in engineering Vol. 2021; pp. 1 - 16
• Main Authors: Islam, Badar ul, Baharudin, Zuhairi, Kattel, Parameshwari
• Format: Journal Article
• Language: English
• Published: New York Hindawi 31.12.2021; Hindawi Limited
• Subjects: Alternative energy sources; Artificial intelligence; Control algorithms; Diurnal variations; Efficiency; Electric vehicles; Electricity distribution; Energy resources; Energy storage; Engineering; Frequency analysis; Frequency response; Frequency stability; Generators; Inertia; Maximum power; Photovoltaic cells; Power plants; Quotas; Regulation; Renewable energy sources; Renewable resources; Stability analysis; Voltage stability; Weather; Wind power; Wind turbines; Malaysia
• ISSN: 1024-123X; 1563-5147
• DOI: 10.1155/2021/9472957

Power plant emissions are a major cause of pollution in the environment. This necessitates the progressive replacement of conventional power plants with renewable energy sources. Changes in the quotas for conventional generating and renewable energy sources present new issues for modern power networks for example photovoltaic and wind turbines are replacing conventional power plants, which do not add to system inertia and due to the earth’s diurnal cycle and weather conditions. Solar radiations are not consistent all through the day, and photovoltaic (PV) generation is sometimes insufficient to meet the power requirement of the shifting local load. The amount of inertia in the power system, as well as the action of adjustable frequency reserves and the amount of power imbalance, all have an impact on frequency stability. As a result, estimating power system inertia and assessing frequency response are required so that necessary actions can be taken to assure frequency stability. In this way, the system frequency, power, and voltage stability are the major issues when high proportion of renewables are added. In this paper, we explained estimating power system inertia-related frequency problems. The approach account for the frequency and voltage fluctuations that occur after a disturbance and estimate the system’s total inertia constant as well as its overall power imbalance. The anticipated technique based on computational intelligence is used to analyze frequency responses from simulations of a test system under various circumstances on SIMULINK and focuses on the standalone PV system is critical for controlling it. As a result, the modelling of a PV system, battery, and generator using analogous circuits is discussed. As a matter of fact, maximum power should be harvested from a PV array to increase its efficiency that is depicted from the result outcomes of this research.