Economic Study of Wind and Solar Power Generation with Energy Storage Configuration
DOI:
https://doi.org/10.54097/jh34fy18Keywords:
Energy Storage Technology, Power Operation, Optimization Model, Electric Power Operation.Abstract
With the growth of new energy demand, energy storage technology has a broad application prospect in solving the intermittency problem of wind power generation, improving the stability of the grid, and reducing the operating cost. This research first established and solved an efficient wind-solar economic allocation model for wind and solar energy storage configuration and economic cost. It obtained a total power supply cost of 6466.35 yuan for wind and solar power generation without energy storage configuration. Then, by establishing a collaborative optimization model for wind, solar, and energy storage, the target cost optimization for the economical operation of quantitative energy storage configuration was carried out. Finally, a collaborative cost minimization model for wind, solar, and energy storage was established to obtain the optimal operation strategy for energy storage with minimized costs. The collaborative cost minimization model for wind, solar, and energy storage can effectively optimize the energy storage power of 377kW and capacity allocation of 1130kWh, which is of great significance in ensuring the coordinated allocation of power operation and economic benefits for wind, solar, and energy storage in the country.
Downloads
References
Li Shuangshi, LI Fengxia, WANG Minhua. Optimization of isolated wind/light/DC storage microgrid Power Supply based on Improved multi-objective Spider Monkey Algorithm [J]. Power capacitors and reactive power compensation, 2021, 42 (05): 196-203.
Li Yanzhe, GUO Xiaojia, DONG Haiying, et al. Capacity Optimization of wind/light/Micro Grid Hybrid Energy Storage System [J]. Journal of Electric Power Systems and Automation, 2020, 32 (06): 123-8.
Wu Ming, JI Yu, Zheng Nan, et al. Trusted Capacity Evaluation of wind-wind-storage hybrid microgrid based on sequential operation [J]. Journal of Solar Energy, 2021, 42 (03): 251-8.
Gao Feng, YAN Tao, Tang Wei, et al. Multi-objective Power Capacity optimization of independent wind/light/storage hybrid microgrid [J]. Smart Grid, 2016, 4 (08): 802-10.
Ma Xiyuan, WU Yaowen, FANG Hualiang, et al. Optimization of wind/light/Storage hybrid microgrid power supply based on improved bacterial feeding Algorithm [J]. Proceedings of the CSEE, 2011, 31 (25): 17-25.
Ge Leijiao, Fan Yanhe, Lai Jingang, et al. Artificial Intelligence-enabled microgrid optimization for low-carbon economy [J]. High Voltage Technology, 2023, 49 (06): 2219-38.
Wu Dinghui, Gao Cong, JI Zhicheng. Application of hybrid particle swarm optimization in the economic operation of microgrid [J]. Control Theory and Applications, 2018, 35 (04): 457-67.
Chen Xiaohua, WU Jiekang, Chen Shengyu, et al. Economic Operation Optimization Method of microgrid based on improved particle swarm Optimization Algorithm [J]. Heilongjiang Electric Power, 2023, 45 (01): 23-9.
Liu Yong, Yang Guohua, WU Xuanru, et al. Research on Economic Operation Optimization of Microgrid based on Improved MNPSO Algorithm [J]. China Electrical Engineering, 2022, (07): 14-21+49.
Zhao Feng, Luo Xin, GAO Fengyang. Research on economic optimization of microgrid operation considering in-network real-time price [J]. Journal of Solar Energy, 2020, 41 (09): 53-60.
BEHERA P K, PATTNAIK M. Design and real-time implementation of wind–photovoltaic driven low voltage direct current microgrid integrated with hybrid energy storage system [J]. Journal of Power Sources, 2024, 595: 234028-.
Miao Xiaorui. Operation Optimization Control Principle and Strategy of Wind-Wind Complementary Power Generation System [J]. Light Sources & Lighting, 2023, (12): 83-5.
TIANQI L, JING G, BO Y, et al. Considering the comprehensive optimization research of the hybrid energy storage control strategy based on the photovoltaic-storage-DC microgrid [J]. International Journal of Frontiers in Engineering Technology, 2023, 5 (1).
Wang Xin, Chen Zucui, BIAN Zaiping, et al. Optimization of wind-energy storage capacity in smart microgrid based on particle swarm Optimization Algorithm [J]. Integrated Smart Energy, 2022, 44 (06): 52-8.
Jin Dong, Ma Xianguo. Capacity configuration analysis of energy storage battery in wind-solar complementary power generation system [J]. Energy Research and Information, 2019, 35 (01): 25-9+54.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Highlights in Science, Engineering and Technology

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.







