Research on Frequency Regulation with Dynamic Trajectory Planning of Participation Factors

Authors

  • Hongbin Hu Inner Mongolia Power (Group) Co., Ltd., Inner Mongolia Power Research Institute Branch, Hohhot 010020, China
  • Jiayu Zhao Control and computer engineering school, North China Electric Power University, 102206, China
  • Qiang Li Dispatching and Control Center of Inner Mongolia Power (Group) Co., LTD, Hohhot 010020, China
  • Zhibin Jing Dispatching and Control Center of Inner Mongolia Power (Group) Co., LTD, Hohhot 010020, China
  • Qi Guo Dispatching and Control Center of Inner Mongolia Power (Group) Co., LTD, Hohhot 010020, China
  • Zhihao Yang Dispatching and Control Center of Inner Mongolia Power (Group) Co., LTD, Hohhot 010020, China

DOI:

https://doi.org/10.13052/dgaej2156-3306.3943

Keywords:

Frequency control, automatic generation control, optimal scheduling, path planning, system improvement

Abstract

The energy transformation has led to a high proportion of new energy entering the grid. New energy has high randomness, which challenges the frequency stability of the power system. A new approach to improve frequency based on dynamic trajectory planning of participation factors is proposed in this work. In the frequency regulation interval, the trajectory and termination time of participation factors are regarded as the variables to be optimized. Then, taking the frequency regulation performance and economy as the goals, a multi-objective optimization problem is constructed. The participation factors are used to dispatch the output power of different units, which breaks the constraint that the output characteristics of different units are consistent in the original regulation process. Therefore, the generator units with different regulation characteristics in the system achieve complementary coordination on the second time scale. In simulation cases, frequency oscillation is reduced, while the overall economy of the system is improved. The numerical evaluation results show that the frequency performance is improved by 2.7% at most and 2.9% of the economy is improved at most simultaneously. The above results demonstrate the effectiveness of the proposed approach.

Downloads

Download data is not yet available.

Author Biographies

Hongbin Hu, Inner Mongolia Power (Group) Co., Ltd., Inner Mongolia Power Research Institute Branch, Hohhot 010020, China

Hongbin Hu holds a master’s degree and is a senior engineer at Inner Mongolia Power Research Institute Branch. And he is mainly engaged in research work on new energy technology.

Jiayu Zhao, Control and computer engineering school, North China Electric Power University, 102206, China

Jiayu Zhao was born in Shanxi, China, in 2000. From 2018 to 2022, she studied in North China Electric Power University and received her bachelor’s degree in 2022. Currently, she is studying for a master’s degree in North China Electric Power University. She is mainly engaged in research on reinforcement learning and coordinated control of multi units.

Qiang Li, Dispatching and Control Center of Inner Mongolia Power (Group) Co., LTD, Hohhot 010020, China

Qiang Li is a senior engineer of Dispatching and Control Center of Inner Mongolia Power (Group) Co., LTD, who is mainly engaged in research work related to power system safety analysis and power system simulation.

Zhibin Jing, Dispatching and Control Center of Inner Mongolia Power (Group) Co., LTD, Hohhot 010020, China

Zhibin Jing is a senior engineer of Dispatching and Control Center of Inner Mongolia Power (Group) Co., LTD. He is mainly engaged in production and research work in the optimization and scheduling of power systems.

Qi Guo, Dispatching and Control Center of Inner Mongolia Power (Group) Co., LTD, Hohhot 010020, China

Qi Guo is a professor of engineering. He has rich experience in power system scheduling. And he is engaged in long-term research on operational optimization of high proportion new energy power systems.

Zhihao Yang, Dispatching and Control Center of Inner Mongolia Power (Group) Co., LTD, Hohhot 010020, China

Zhihao Yang is an expert in the operation and production of the power system, with rich experience in operation and research, and has been engaged in multiple scientific and technological project management and algorithm research work. And now, he is a senior engineer of Dispatching and Control Center of Inner Mongolia Power (Group) Co., LTD. The authors who did not provide the photos were reluctant to publish them.

References

P. Kundur, “Power System Stability and Control,” New York, NY, USA: McGraw-Hill, 1993.

N. Rogkas, E. Karampasakis, M. Fotopoulou, et al. “Assessment of heat transfer mechanisms of a novel high-frequency inductive power transfer system and coupled simulation using FEA,” Energy, vol. 300, 131530, 2024.

M. Du, Y. Niu, B. Hu, et al., “Frequency regulation analysis of modern power systems using start-stop peak shaving and deep peak shaving under different wind power penetrations,” International Journal of Electrical Power & Energy Systems, vol. 125, pp. 106501, 2021.

N. Pathak, T. S. Bhatti, A. Verma and I. Nasiruddin, “AGC of Two Area Power System Based on Different Power Output Control Strategies of Thermal Power Generation,” IEEE Transactions on Power Systems, vol. 33, no. 2, pp. 2040–2052, March 2018.

Z. Liu, C. Wang, J. Fan, et al., “Enhancing the flexibility and stability of coal-fired power plants by optimizing control schemes of throttling high-pressure extraction steam,” Energy, vol. 288, 129756, 2024.

H. Bevrani, H. Golpîra, A. Messina, et al., “Power system frequency control: An updated review of current solutions and new challenges,” Electric Power Systems Research, vol. 194, pp. 107114, 2021.

G. Sharma, N. Krishnan, Y. Arya. Impact of ultracapacitor and redox flow battery with JAYA optimization for frequency stabilization in linked photovoltaic-thermal system. International transactions on electrical energy system, 2021, 31(5):e12883.

X. Liu, Y. Zhang and K. Y. Lee, “Coordinated Distributed MPC for Load Frequency Control of Power System With Wind Farms,” IEEE Transactions on Industrial Electronics, vol. 64, no. 6, pp. 5140–5150, June 2017.

M. Ma, C. Zhang, X. Liu and H. Chen, “Distributed Model Predictive Load Frequency Control of the Multi-Area Power System After Deregulation,” IEEE Transactions on Industrial Electronics, vol. 64, no. 6, pp. 5129–5139, June 2017.

N. Pathak and Z. Hu, “Hybrid-Peak-Area-Based Performance Index Criteria for AGC of Multi-Area Power Systems,” IEEE Transactions on Industrial Informatics, vol. 15, no. 11, pp. 5792–5802, Nov. 2019.

W. Liu, J. Shen, S.C. Zhang, et al. Distributed Secondary Control Strategy Based on Q-learning and Pinning Control for Droop-controlled Microgrids. Journal of Modern Power Systems and Clean Energy, vol. 10, no. 5, pp. 1314–1325, September 2022.

SR Nayak, PK Khadanga, Y. Arya. Influence of ultra-capacitor on AGC of five-area hybrid power system with multi-type generations utilizing sine cosine adopted dingo optimization algorithm. Electric power system research, 2023, 223: 109513.

M. Ranjan, R. Shankar, “A literature survey on load frequency control considering renewable energy integration in power system: Recent trends and future prospects,” Journal of Energy Storage, vol. 45, pp. 103717, 2022.

J. Kumar, Kah-Hoe Ng and G. Sheble, “AGC simulator for price-based operation. I. A model,” IEEE Transactions on Power Systems, vol. 12, no. 2, pp. 527–532, May 1997.

V. Donde, M. A. Pai and I. A. Hiskens, “Simulation and optimization in an AGC system after deregulation,” IEEE Transactions on Power Systems, vol. 16, no. 3, pp. 481–489, Aug. 2001.

S. Debbarma, L. C. Saikia and N. Sinha, “AGC of a multi-area thermal system under deregulated environment using a non-integer controller,” Electric Power Systems Research, vol. 95, pp. 175–183, 2013.

K. Parmar, S. Majhi and D. Kothari, “LFC of an interconnected power system with multi-source power generation in deregulated power environment,” International Journal of Electrical Power & Energy Systems, vol. 57, pp. 277–286, 2014.

X. Zhao, F. Wen, D. Gan, et al., “Determination of AGC capacity requirement and dispatch considering performance penalties,” Electric Power Systems Research, vol. 70, no. 2, pp. 93–98, 2004.

C. Boonchuay, “Improving Regulation Service Based on Adaptive Load Frequency Control in LMP Energy Market,” IEEE Transactions on Power Systems, vol. 29, no. 2, pp. 988–989, March 2014.

T. Tao, S. Roy, S. Yuan, et al., “Robust Adaptation in Dynamically Switching Load Frequency Control,” IFAC-PapersOnLine, vol. 53, no. 2, pp. 13460–13465, 2020.

N. Li, C. Zhao and L. Chen,” Connecting Automatic Generation Control and Economic Dispatch From an Optimization View,” IEEE Transactions on Control of Network Systems, vol. 3, no. 3, pp. 254–264, Sept. 2016.

Q. Zhou, M. Shahidehpour, Z. Li and X. Xu, “Two-Layer Control Scheme for Maintaining the Frequency and the Optimal Economic Operation of Hybrid AC/DC Microgrids,” IEEE Transactions on Power Systems, vol. 34, no. 1, pp. 64–75, Jan. 2019.

C. Zhang, S. Wang and Q. Zhao, “Distributed economic MPC for LFC of multi-area power system with wind power plants in the power market environment,” International Journal of Electrical Power & Energy Systems, vol. 126, pp. 106548, 2021.

L. Liu, Z. Hu, X. Duan and N. Pathak, “Data-Driven Distributionally Robust Optimization for Real-Time Economic Dispatch Considering Secondary Frequency Regulation Cost,” IEEE Transactions on Power Systems, vol. 36, no. 5, pp. 4172–4184, Sept. 2021.

S. Baros, Y. C. Chen and S. V. Dhople, “Examining the Economic Optimality of Automatic Generation Control,” IEEE Transactions on Power Systems, vol. 36, no. 5, pp. 4611–4620, Sept. 2021.

E. Tsydenov, A. Prokhorov, L. Wang. Online Estimation of Plant Participation Factors for Automatic Generation Control in Power Systems With Variable Energy Resources. IEEE Transactions on Industry Applications, 2022, 58(4): 4401–4410.

A. Brown and D. Anderson, “Trajectory Optimization for High-Altitude Long-Endurance UAV Maritime Radar Surveillance,” IEEE Transactions on Aerospace and Electronic Systems, vol. 56, no. 3, pp. 2406–2421, June,2020.

P. Savsani, R. L. Jhala and V. J. Savsani, “Comparative Study of Different Metaheuristics for the Trajectory Planning of a Robotic Arm,” IEEE Systems Journal, vol. 10, no. 2, pp. 697–708, June 2016.

S. Schulz, J. S. Neufeld, U. Buscher, “A multi-objective iterated local search algorithm for comprehensive energy-aware hybrid flow shop scheduling,” Journal of Cleaner Production, vol. 224, pp. 421–434, 2019.

D. Rerkpreedapong, A. Hasanovic and A. Feliachi, “Robust load frequency control using genetic algorithms and linear matrix inequalities,” IEEE Transactions on Power Systems, vol. 18, no. 2, pp. 855–861, May 2003.

Downloads

Published

2024-10-28

How to Cite

Hu, H. ., Zhao, J. ., Li, Q. ., Jing, Z. ., Guo, Q. ., & Yang, Z. . (2024). Research on Frequency Regulation with Dynamic Trajectory Planning of Participation Factors. Distributed Generation &Amp; Alternative Energy Journal, 39(04), 751–776. https://doi.org/10.13052/dgaej2156-3306.3943

Issue

Section

Renewable Power & Energy Systems