One Day-Ahead Optimal Scheduling in a 5 Bus Distribution Test System | IEEE Conference Publication | IEEE Xplore

One Day-Ahead Optimal Scheduling in a 5 Bus Distribution Test System


Abstract:

Optimal planning is essential to ensure that power systems operate in a sustainable and reliable manner. In the power systems with conventional sources the generation is ...Show More

Abstract:

Optimal planning is essential to ensure that power systems operate in a sustainable and reliable manner. In the power systems with conventional sources the generation is usually known and changes are slow because the impedances of large power system act as damping filters. However, it is not the same in distributed networks especially the ones using wind and solar energy as sources. Since unexpected changes occur in wind and solar PV systems, it is more difficult to keep generation and consumption balance in optimum conditions continuously. In this study, one day-ahead optimal scheduling study is conducted in a 5-bus test system. Considering the generation units and network constraints, the objective function is defined with the aim of minimizing the total operating costs and active power losses. Three cases are constructed and tested with these objective functions. The Symbiotic organism search (SOS) algorithm is used to investigate optimal scheduling programs.
Date of Conference: 30 November 2023 - 02 December 2023
Date Added to IEEE Xplore: 06 February 2024
ISBN Information:
Conference Location: Bursa, Turkiye

1. Introduction

The use of wind and solar energy systems have become widespread because they are clean, renewable and accessible. Energy storage systems (ESS) are used for a wide range of purposes in grids that are equipped with renewable energy sources (RES) with intermittent and variable production profiles. With the inclusion of renewable energy sources in distribution grid, the structure of conventional radial or ring networks have turned to distributed networks. Contrary to the conventional ones, distributed networks include generation and consumption together, which makes difficult keeping load consumption and power generation balance equal. Since the generated power from wind generators and solar PV systems depend on wheather conditions, unexpected occur in generated power yielding difficulties in power management in such systems. Therefore, accurate estimation of the power generation from wind turbines and PV systems, at least one day ahead, gain a great importance in terms of system management in order to keep consumption and generation balance tight. The power systems with distributed generation are used to improve voltage fluctuations, reduce power losses, store energy when renewable generation is high, and support high demand when it is low [1]-[4]. These systems can also balance electricity supply and demand once the unexpected changes are predicted and precautions are taken earlier on time. With one day ahed estimation of wind and solar PV power generation, the distributed generation (DG) also improve the reliability and efficiency of the power system, besides enabling a more flexible management of electrical energy [5]-[6].

References

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