With the increasing integration of intermittent
power sources (IPSs) into the power system, the uncertainty of IPSs requires
solution and current dispatch system needs improvement. This paper aims to
generate the optimal dispatch plan for day-ahead scheduling and real-time
dispatch using the proposed model of characteristic optimal power flow (COPF).
The integral time period represented by the median load point and the heavy and
light load point with simplicity and accuracy. Simulation case studies on a
30-bus system are presented, which shows that COPF is an effective model to generate the optimal
dispatch plan for power systems with high penetration of IPSs.
References
[1]
Nassar, I.A., Hossam, K. and Abdella, M.M. (2019) Economic and Environmental Benefits of Increasing the Renewable Energy Sources in the Power System. Energy Reports, 5, 1082-1088. https://doi.org/10.1016/j.egyr.2019.08.006
[2]
Wiser, R.H. and Bolinger, M. (2017) 2016 Wind Technologies Market Report. https://doi.org/10.2172/1375677
[3]
Okumoto, Y., Yorino, N., Sasaki, Y., Zoka, Y., Akiyoshi, T. and Isoya, T. (2014) A Study on the Power System Security under Future Uncertainties. IEEJ Transactions on Power and Energy, 134, 949-956. https://doi.org/10.1541/ieejpes.134.949
[4]
Rohrig, K. and Lange, B. (2007) Improvement of the Power System Reliability by Prediction of Wind Power Generation. 2007 IEEE Power Engineering Society General Meeting, Tampa, FL, 24-28 June 2007, 1-8. https://doi.org/10.1109/PES.2007.385456
[5]
Wang, Z.J. and Guo, Z.Z. (2018) On Critical Timescale of Real-Time Power Balancing in Power Systems with Intermittent Power Sources. Electric Power Systems Research, 155, 246-253. https://doi.org/10.1016/j.epsr.2017.10.022
[6]
Wang, Z.J., Guo, G. and Anderson, C.L. (2019) Simulation Case Studies on Period Optimal Power Flow. 2019 Winter Simulation Conference (WSC), National Harbor, MD, 8-11 December 2019, 3669-3680. arXiv preprint arXiv:1908.09879 https://doi.org/10.1109/WSC40007.2019.9004786
[7]
Zhang, B., Chen, J., Wu, W.C., Zheng, T., Sun, H.B. and Guo, Q.L. (2012) Real-Time Power Dispatch Method under Wind Power Curtailed Conditions for Large Scale Power Grid. IFAC Proceedings Volumes, 8, 236-241. https://doi.org/10.3182/20120902-4-FR-2032.00043
[8]
Bao, Y.-Q., Li, Y., Wang, B.B., Hu, M.Q. and Zhou, Y.M. (2017) Day-Ahead Scheduling Considering Demand Response as a Frequency Control Resource. Energies, 10, 82. https://doi.org/10.3390/en10010082
[9]
Wang, Z., Guo, Z., Wang, G. and Wu, Z. (2017) On the Critical Timescale of Real-Time Dispatch Considering Power Balancing under Power Systems with High Proportional Intermittent Power Sources. Proceedings of the Chinese Society of Electrical Engineering, 37, 39-46.
[10]
Wang, J.D., Pang, X.K., Gao, S., Zhao, Y. and Cui, S.J. (2019) Assessment of Automatic Generation Control Performance of Power Generation Units Based on Amplitude Changes. International Journal of Electrical Power & Energy Systems, 108, 19-30. https://doi.org/10.1016/j.ijepes.2018.12.046
[11]
Carpentier, J. (1962) Contribution á l’étude du dispatching économique. Bulletin de la Société Francaise des électriciens, 3, 431-447.
[12]
Wang, Z.J. and Guo, Z.Z. (2017) Toward a Characteristic Optimal Power Flow Model for Temporal Constraints. 2017 IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific), Harbin, 7-10 August 2017, 1-6. https://doi.org/10.1109/ITEC-AP.2017.8081024
