A master-slave game optimization scheduling strategy considering the electricity pricing mechanism of nanogrid systems and microgrid operators

被引：0
|
作者：
Qiu, Mingshi [1 ]
Chen, Junru [1 ]
Liu, Muyang [1 ]
Wang, Jing [1 ]
机构：
[1] School of Electrical Engineering, Xinjiang University, Urumqi
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2024年 / 52卷 / 19期
基金：
中国国家自然科学基金;
关键词：
collaborative optimization between nanogrids; microgrids; and main grid; diversified nanogrid; energy supply scenarios; master-slave game; microgrid operators; microgrid system;
D O I：
10.19783/j.cnki.pspc.231638
中图分类号：
学科分类号：
摘要：
With the gradual penetration of clean energy into microgrids and nanogrids, a two-stage optimization scheduling strategy based on multi-agent game theory is proposed to address various issues such as collaborative optimization among nanogrids, microgrids, and main grids, improvement of clean energy utilization efficiency, promotion of clean energy consumption, and economic reliability of energy use. This strategy covers diversified trading and microgrid operator pricing mechanisms. First, multiple nanogrid load models with significant energy consumption characteristics are established, forming a nanogrid system model that supports autonomous scheduling of multiple nanogrids and energy trading between them. Secondly, considering the diversity of electricity supply and demand, a microgrid operator model is constructed for different energy supply scenarios, and a competition mechanism between the main network and the operator is introduced. In this game model, microgrid operators play the role of leaders, while the network management system acts as followers, achieving a game equilibrium of one master and one slave. By optimizing the output methods of microgrid operators, the energy potential of nanogrid systems is stimulated. Finally, the rationality and effectiveness of the proposed scheme are verified through numerical examples. This scheme has successfully reduced the operating cost of the nanogrid system, improved the clean energy consumption capacity of the microgrid system, and increased economic efficiency. It provides practical and effective guidance for the sustainable development of microgrids and nanogrids. © 2024 Power System Protection and Control Press. All rights reserved.
引用
收藏
页码：15 / 34
页数：19
相关论文
共 27 条
  • [1] NORDMAN B, CHRISTENSEN K., DC local power distribution with microgrids and nanogrids, 2015 IEEE First International Conference on DC Microgrids (ICDCM), pp. 199-204, (2015)
  • [2] FARZANEH H, SHOKRI M, KEBRIAEI H, Et al., Robust energy management of residential nanogrids via decentralized mean field control, IEEE Transactions on Sustainable Energy, 11, 3, pp. 1995-2002, (2019)
  • [3] JIN H, LEE S, NENGROO S H, Et al., P2P power trading of nanogrids for power management in consideration of battery lifetime of ESS, Energy and Buildings, (2023)
  • [4] YANINE F, SANCHEZ-SQUELLA A, BARRUETO A, Et al., Energy homeostasis management strategy for building rooftop nanogrids, considering the thermal model and a HVAC unit installed, Procedia Computer Science, 199, pp. 10-17, (2022)
  • [5] SANDGANI M R, SIROUSPOUR S., Energy management in a network of grid-connected microgrids/nanogrids using compromise programming, IEEE Transactions on Smart Grid, 9, 3, pp. 2180-2191, (2016)
  • [6] JOSEPH S C, MOHAMMED A A, DHANESH P R, Et al., Smart power management for DC nanogrid based building, 2018 IEEE Recent Advances in Intelligent Computational Systems (RAICS), pp. 142-146, (2018)
  • [7] XU M, LI C, CAI S, Et al., Optimal scheduling strategy of nano-grid considering electric vehicle scheduled discharge, 2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA), pp. 1490-1494, (2021)
  • [8] YANG Mingjie, HU Yangyu, QIAN Haixia, Et al., Optimization of day-ahead and intra-day multi-time scale scheduling for integrated power-gas energy system considering carbon emission, Power System Protection and Control, 51, 5, pp. 96-106, (2023)
  • [9] ZHAO B, WANG X, LIN D, Et al., Energy management of multiple microgrids based on a system of systems architecture, IEEE Transactions on Power Systems, 33, 6, pp. 6410-6421, (2018)
  • [10] DAI Zhihui, CHEN Bingyan, Research on multi-time scale energy management of micro-grid based on real-time pricing mechanism, Journal of North China Electric Power University (Natural Science Edition), 45, 2, pp. 24-31, (2018)
123