Abstract
This paper presents the results of one power system working over one day by running three algorithms, including Dragonfly algorithm (DA), Salp Swarm Algorithm (SSA) and the self-organizing migrating algorithm (SOMA). The power system is optimally operated by determining status Pump and status Generation together with the power outputs as the status Generation is selected. The cost of one thermal power plant is used as an objective function to evaluate the three applied algorithms. On the other hand, almost all constraints are from one pumped-storage hydro plant, and valid solutions must satisfy these considered constraints. As a result, SOMA is the best method with the lowest cost and the best stability. So, SOMA is an effective method, and pumped-storage hydro plant is very useful for generation.
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Abbreviations
- TFC:
-
Total fuel costs
- FC:
-
Fuel costs
- T:
-
Number of scheduling hours
- N:
-
Number of thermal power plants
- \(Pt_{a}^{t}\):
-
Power output of thermal power plants n in hour t
- \(Ph\left( {Pum} \right)_{b}^{t}\):
-
Pump power of the bth pumped storage hydropower plant in hour
- \(Ph\left( {Gen} \right)_{b}^{t}\):
-
Power output of the bth pumped storage hydropower plant in hour t
- \(Pd^{t}\):
-
Power load demand in hour t
- \(Pl^{t}\):
-
Power losses in transmission line in hour t
- \(V_{t}\):
-
Volume of water in reservoir at tth interval
- \(I_{t}\)::
-
Water Inflow in reservoir at jth interval
- \(Q_{t}\)::
-
Water discharge rate at jth interval
- \(S_{t}\)::
-
Water spillage from reservoir at jth interval
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Phan, T.M., Trong Dao, T. (2024). Self-organizing Migrating Algorithm (SOMA) for Pumped-Storage Hydrothermal System Scheduling. In: Trong Dao, T., Hoang Duy, V., Zelinka, I., Dong, C.S.T., Tran, P.T. (eds) AETA 2022—Recent Advances in Electrical Engineering and Related Sciences: Theory and Application. AETA 2022. Lecture Notes in Electrical Engineering, vol 1081. Springer, Singapore. https://doi.org/10.1007/978-981-99-8703-0_39
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DOI: https://doi.org/10.1007/978-981-99-8703-0_39
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