Optimal Combination Control Technology of Demand Side Resources of Distributed Renewable Energy Power Generation

  • Hong-Mei Zhou School of Public Administration, Sichuan University, Chengdu, China
  • Yan Chen Business School, Sichuan University, Chengdu, China
  • Qi-Jie Jiang Business School, Chengdu University, Chengdu, China
Keywords: Unit commitment, demand-side resources, fuzzy dual-objective optimization model, combined control, greenhouse gas emission reduction

Abstract

The paper proposes a new unit commitment model that can promote carbon emission reduction in distributed renewable energy power systems. The model first comprehensively considers the optimal combination of low-carbon demand-side resources such as supply-side resources and demand response, electric vehicles, and distributed renewable energy power generation. Secondly, the model unit scheduling rules fully consider the carbon emission target and the economic target and propose a fuzzy dual-objective optimization method that can consider the relative priority of the target. When solving the optimization model, we improved the particle swarm optimization algorithm. We introduced the “cross” and “mutation” operators in the genetic algorithm to improve the particle swarm algorithm’s global optimization capability. The paper verifies the effectiveness of the model and algorithm through the analysis of a ten computer system.

Downloads

Download data is not yet available.

Author Biographies

Hong-Mei Zhou, School of Public Administration, Sichuan University, Chengdu, China

Hong-Mei Zhou received her bachelor’s degree and master’s degree in the School of Public Administration in Sichuan University and now she is a doctoral student in the School of Economics in Sichuan University. She has been serving as a reviewer for many highly respected journals. Her research interests include strategic management, smart enterprises. She has hosted several projects from the National Natural Science Foundation of China.

Yan Chen, Business School, Sichuan University, Chengdu, China

Yan Chen received her bachelor’s degree and master’s degree in Sichuan University and now is a Ph.D. student in Sichuan University Business School, and her research interest mainly focuses on strategic management. She has been serving as a reviewer for many highly respected journals

Qi-Jie Jiang, Business School, Chengdu University, Chengdu, China

Qi-jie Jiang got his bachelor’s degree and master’s degree in Sichuan University Economic School and obtained his Ph.D. degree in Sichuan University Business School, majoring in strategic management. He visited the University of Nottingham as an exchange student from 2017 to 2018, majoring in marketing. Now he is an associate professor in Chengdu University Business School and his research areas include social tourism, marketing, and smart tourism.

References

Babatunde, O. M., Munda, J. L., and Hamam, Y. A comprehensive state-of-the-art survey on power generation expansion planning with intermittent renewable energy source and energy storage. International Journal of Energy Research.43(12), pp. 6078–6107, 2019.

Klein, P., Carter-Brown, C., Wright, J. G., and Calitz, J. R. Supply and demand side flexibility options for high renewable energy penetration levels in South Africa. SAIEE Africa Research Journal. 110(3), pp. 111–124, 2019.

Sarker, E., Halder, P., Seyedmahmoudian, M., Jamei, E., Horan, B., Mekhilef, S., and Stojcevski, A. Progress on the demand side management in smart grid and optimization approaches. International Journal of Energy Research. 45(1), pp. 36–64, 2021.

Castro, F. A., and Callaway, D. S. Optimal electricity tariff design with demand-side investments. Energy Systems. 11(3), pp. 551–579, 2020.

Schill, W. P. Electricity storage and the renewable energy transition. Joule. 4(10), pp. 2059–2064, 2020.

Eltamaly, A. M., Mohamed, Y. S., El-Sayed, A. H. M., and Elghaffar, A. N. A. Impact of distributed generation (dg) on the distribution system network. Annals of the Faculty of Engineering Hunedoara. 17(1), pp. 165–170, 2019.

Shayegan Rad, A., Badri, A., Zangeneh, A., and Kaltschmitt, M. Risk-based optimal energy management of virtual power plant with uncertainties considering responsive loads. International Journal of Energy Research. 43(6), pp. 2135–2150, 2019.

Li, Z., Xu, Y., Feng, X., and Wu, Q. Optimal Stochastic Deployment of Heterogeneous Energy Storage in a Residential Multienergy Microgrid With Demand-Side Management. IEEE Transactions on Industrial Informatics.17(2), pp. 991–1004, 2020.

Bagherzadeh, L., Shahinzadeh, H., Shayeghi, H., and Gharehpetian, G. B. A Short-Term Energy Management of Microgrids Considering Renewable Energy Resources, Micro-Compressed Air Energy Storage and DRPs. International Journal of Renewable Energy Research (IJRER).9(4), pp. 1712–1723, 2019.

Çimen, H., and Çetinkaya, N. Voltage sensitivity-based demand-side management to reduce voltage unbalance in islanded microgrids. IET Renewable Power Generation. 13(13), pp. 2367–2375, 2019.

Published
2021-07-10
Section
Renewable Power and Energy Systems