Reserve Constrained Economic Dispatch Incorporating Solar Farm using Particle Swarm Optimization

Suresh Velamuri, Sreejith S

Abstract


Static Economic Dispatch (SED)  with combined Solar Thermal generation systems incorporating spinning reserve cost is presented in this paper. Particle Swarm Optimization (PSO) algorithm is used as the optimization tool here. Spinning reserve is an  essential requirement in power system network to handle the situations arising during generation or transmission outages. Therefore, incorporation of spinning reserve cost and capacity can provide more realistic dispatch. B-coefficients method is used to determine the losses from the generators for solving the SED. Based on historical data, the output of solar farm is forecasted in this case. Beta distribution function which is the best suited probability density function for irradiance modeling is used to model the output of the solar farm. The uncertainty in solar energy with various seasonal effect is also discussed. Comparative analysis without and with the incorporation of solar farm is carried out. The proposed methodology is tested and validated in IEEE 30 bus test system and South Indian Utility 89 bus test system.

Keywords


Solar; Economic Dispatch; Beta distribution function; PSO; Spinning reserve

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References


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DOI (PDF): https://doi.org/10.20508/ijrer.v6i1.3262.g6769

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