MULTI-TIME SCALE OPTIMIZATION SCHEDULING OF COMBINED SYSTEM OF NEW ENERGY POWER GENERATION AND PUMPED STORAGE POWER STATION BASED ON NSGA-Ⅱ SERIAL PATTERN SEARCH

被引：0
|
作者：
Jiang Q. [1 ]
Chang Y. [2 ]
Yi C. [2 ]
Chen Z. [3 ]
机构：
[1] PowerChina Beijing Engineering Co.，Ltd., Beijing
[2] State Grid XinYuan Group Co.，Ltd., Beijing
[3] North China Branch of State Grid Corporation of China, Beijing
来源：
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2024年 / 45卷 / 04期
关键词：
fast non-dominated genetic algorithm; multiobjective optimization; new energy; pumped storage power plants; scheduling;
D O I：
10.19912/j.0254-0096.tynxb.2022-1955
中图分类号：
学科分类号：
摘要：
Aiming at the joint power generation system of new energy generation and pumped storage power station，a multi-time scale optimization scheduling strategy and a fast non- dominated sorting genetic algorithm with pattern search（NSGA- Ⅱ- PS）combining NSGA-Ⅱalgorithm and pattern search algorithm are proposed in this paper. The objective function and constraints are set respectively for different time scales，and the advantages and disadvantages of NSGA- Ⅱ and NSGA- Ⅱ- PS algorithm in solving the scheduling problem are compared. Optimize the scheduling of the joint system on the day-ahead and intra-day time scales，and make scheduling plans. The results show that the multi-time scale optimization scheduling of the combined system of new energy generation and pumped storage can be realized on the basis of high proportion of new energy consumption in the day- ahead and intra- day scale，and the economic and safe operation of the combined system can be realized. © 2024 Science Press. All rights reserved.
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页码：434 / 441
页数：7
相关论文
共 18 条
  • [1] XIE G H, LI N N，, Et al., Contribution evaluating model for the new energy accommodation influencing factors［J］, Electric power, 51, 11, pp. 125-131, (2018)
  • [2] SHAN B G，, JI X P，, XU C L，, Et al., Recent situation of global energy supply-demand and guarantee strategy of China’s energy and power supply［J］, Electric power, 55, 10, pp. 1-13, (2022)
  • [3] ZHOU Q, WANG N B, Et al., Cause analysis on wind and photovoltaic energy curtailment and prospect research in China［J］, Electric power, 49, 9, pp. 7-12, (2016)
  • [4] WANG M X，, SU J，, LIANG C., Research on cause analysis and coping strategies on consumption of large scale renewable in Northwest China［J］, Power system and clean energy, 33, 10, pp. 124-128, (2017)
  • [5] GAO L，, SU X Y，, LIU S Y., Study on reasonable curtailment rate of renewables under certain renewable energy consumption quota obligation［J］, Electric power, 53, 12, pp. 136-142, (2020)
  • [6] ZHUO Z Y, ZHANG N，, XIE X R，, Et al., Key technologies and developing challenges of power system with high proportion of renewable energy［J］, Automation of electric power systems, 45, 9, pp. 171-191, (2021)
  • [7] XU Z, GUO Q L., Review and prospect of integrated demand response［J］, Proceedings of the CSEE, 38, 24, pp. 7194-7205, (2018)
  • [8] LYU Z B, YU J Y, CAO Q J., Analysis on the accommodation of day- ahead high- penetration renewable energy based on the flexibility of the system［J］, Power demand side management, 22, 5, pp. 31-37, (2020)
  • [9] WANG M M, YAO J Z, LUO Q C，, Et al., Research on optimal operation of hybrid wind power and pumped-storage based on modified bat algorithm［J］, Northeast electric power technology, 42, 3, pp. 1-6, (2021)
  • [10] PAN L G, CHEN T F, WANG Q R，, Et al., Research on wind- photovoltaic- pumped storage joint scheduling optimization to promote renewable energy consumption［J］, Electric engineering, 4, pp. 76-80, (2022)
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