Abstract
Controlling the system frequency under load variation of multiple source power systems (MSPS), including renewable energy sources (RES), is a very difficult task for power system engineers. The LFC acts as a dynamic role in evaluating the performance of a MSPS. The system's complexity has been exacerbated by the use of several power generation sources, including RES. The paper presents a performance investigation of a two-area system that includes RES. Hydro, thermal, wind, and diesel power stations have been modeled and used in the test system. The algorithms set the constraints of a PID controller to provide controlling load frequency in an automatic manner of MSPS with RES. Intelligent optimization techniques are used to fine-tune the controller's parameters with constraints. The ITAE is used as an objective function. The PID Controller kept the deviation of frequency and tie-line power of the MSPS within acceptable limits. A two-area power system comprising of different energy sources was designed using the Simulink tool of MATLAB.
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Appendix A
Appendix A
The following are typical values for the system under consideration:
FA Parameters:– No. of fireflies: 25, α(randomness) = 0.5, β0 = 0.2, γ(absorption) = 1, No. of Iteration: 30.
GSA Parameters:– No. of populations: 25, G0 (gravitational constant) = 100, α = 20, No. of iterations: 30.
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Mohapatra, B.K., Gupta, D.K., Panigrahi, C.K. (2023). Intelligent Optimization Techniques for Controlling Load Frequency of Interconnected Multiple Source Power Systems Including Renewable Energy Sources. In: Dash, R.N., Rathore, A.K., Khadkikar, V., Patel, R., Debnath, M. (eds) Smart Technologies for Power and Green Energy. Lecture Notes in Networks and Systems, vol 443. Springer, Singapore. https://doi.org/10.1007/978-981-19-2764-5_16
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DOI: https://doi.org/10.1007/978-981-19-2764-5_16
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