Cost Optimization Modeling of Renewable Energy Sources in Smart-Grid Using SCADA
- 1 Department of Electrical and Computer Engineering, Prairie View A & M University, Prairie View, USA
- 2 Department of Electrical and Computer Engineering, Prairie View A & M University, Prairie View, USA
- 3 Department of Electrical and Computer Engineering, Prairie View A & M University, Prairie View, USA
- 4 Department of Electrical and Computer Engineering, Prairie View A & M University, Prairie View, USA
- 5 Department of Electrical and Computer Engineering, Prairie View A & M University, Prairie View, USA
- 6 Department of Electrical and Computer Engineering, Prairie View A & M University, Prairie View, USA
- 7 Department of Electrical and Computer Engineering, Prairie View A & M University, Prairie View, USA
Abstract
In recent times, renewable energy production from renewable energy sources is an alternative way to fulfill the increased energy demands. However, the increasing energy demand rate places more pressure, leading to the termination of conventional energy resources. However, the cost of power generation from coal-fired plants is higher than the power generation’s price from renewable energy sources. This experiment is focused on cost optimization during power generation through pumped storage power plant and wind power plant. The entire modeling of cost optimization has been conducted in two parts. The mathematical modeling was done using MATLAB simulation while the hydro and wind power plant’s emulation was performed using SCADA (Supervisory control and data acquisition) designer implementation. The experiment was conducted using ranges of generated power from both power sources. The optimum combination of output power and cost from both generators is determined via MATLAB simulation within the assumed generated output power range. Secondly, the hydro-generator and wind generator’s emulation were executed individually through synchronizing the grid to determine each generator’s specification using SCADA designer, which provided the optimum power generation from both generators with the specific speed, aligning with results generated through MATLAB. Finally, the operational power cost (with no losses consideration) from MATLAB was compared with the local energy provider to determine the cost-efficiency. This experiment has provided the operational cost optimization of the hydro-wind combined power system with stable wind power generation using SCADA, which will ultimately assist in operations of large-scale power systems, remotely minimizing multi-area dynamic issues while maximizing the system efficiency.
- Liu, Y. and Shang, T. (2007) Economic Dispatch of Power System Incorporating Windpower Plant. The 8th International Power Engineering Conference (IPEC 2007), 159-163.
- Qiu, W., Zhang, J.H. and Liu, N. (2011) Model and Solution for Environmental/Economic Dispatch Considering Large-Scale Wind Power Penetration. Proceedings of the CSEE, 31, 8-16.
- Chen, D.J., Gong, Q.W., Qiao, H., et al. (2012) Multiobjective Generation Dispatching for Wind Power Integrated System Adopting Improved Biogeography-Based Optimization Algorithm. Proceedings of the CSEE, 32, 150-158.
- Peng, C.H., Sun, H.J., Guo, J.F., et al. (2012) Dynamic Economic Dispatch for Wind-Thermal Power System Using a Novel Bi-Population Chaotic Differential Evolution Algorithm. International Journal of Electrical Power & Energy Systems, 42, 119-126. https://doi.org/10.1016/j.ijepes.2012.03.012
- Bayon, L., Grau, J.M. and Ruiz, M.M. (2012) The Exact Solution of the Environmental/Economic Dispatch Problem. IEEE Transactions on Power Systems, 27, 723-731. https://doi.org/10.1109/TPWRS.2011.2179952
- Yang, L.Q., Lin, S.J., Liu, M.B., et al. (2014) Multiobjective Dynamic Optimal Dispatch for Large-Scale Power Systems Considering Wind Power Penetration. Transactions of China Electrotechnical Society, 29, 286-295.
- Narimani, H., et al. (2018) A Multi-Objective Framework for Multi-Area Economic Emission Dispatch. Energy, 154, 126-142. https://doi.org/10.1016/j.energy.2018.04.080
- Azizivahed, A., Naderi, E., Karandeh, R., Cecchi, V., Li, L., Zhang, J.F., et al. (2020) Multi-Area Dynamic Economic Dispatch Considering Water Consumption Minimization, Wind Generation, and Energy Storage System. IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), Washington, 17-20 February 2020, 1-2. https://doi.org/10.1109/ISGT45199.2020.9087689
- Yu, J., Ren, J.W. and Zhou, M. (2013) A Chance-Constrained Programming Based Dynamic Economic Dispatch of Wind Farm and Pumped-Storage Power Station. Journal of Power System Technology, 37, 1-3.
- Li, H.L., Zhang, Z.Q. and Tang, X.J. (2015) Research on Optimal Capacity of Large Wind Power Considering Joint Operation with Pumped Hydro Storage. Power System Technology, 2746-2750.
- Zhou, Y.F., Wei, H. and Hong, C.Q. (2011) Beqiun Hu andTaocheng. Modelization and Optimization of Multi-Type Power Generators Joint Scheduling Based on Improved PSO. National High Technology Research and Development Program of China, No. 2011AA.