含海洋能发电的海岛微网源荷储容量优化配置研究

寇凌峰; 季宇; 曲雪原; 孙树敏; 陈继开; 张利伟

寇凌峰,季宇,曲雪原,孙树敏,陈继开,张利伟.含海洋能发电的海岛微网源荷储容量优化配置研究[J].电测与仪表,2024,61(5):135-145.
Kou Lingfeng,Ji Yu,Qu Xueyuan,Sun Shumin,Chen Jikai,Zhang Liwei.Research on optimal capacity configuration of source, load and storage for island microgrid containing marine energy generation[J].Electrical Measurement & Instrumentation,2024,61(5):135-145.

含海洋能发电的海岛微网源荷储容量优化配置研究

Research on optimal capacity configuration of source, load and storage for island microgrid containing marine energy generation

DOI：10.19753/j.issn1001-1390.2024.05.019

中文关键词: 远洋海岛微电网容量优化海洋能海水淡化调控策略

英文关键词:offshore islands, microgrid, capacity optimization, marine energy, seawater desalination, dispatch strategy

基金项目:国家电网公司总部科技项目“分布式海洋可再生能源发电并网控制关键技术研究及示范”（5400-201916148A-0-0-00）

作者中文名	作者英文名	单位
寇凌峰	Kou Lingfeng	国网上海能源互联网研究院有限公司
季宇	Ji Yu	国网上海能源互联网研究院有限公司
曲雪原	Qu Xueyuan	东北电力大学电气工程学院
孙树敏	Sun Shumin	国网山东省电力公司电力科学研究院
陈继开	Chen Jikai	东北电力大学电气工程学院
张利伟	Zhang Liwei	东北电力大学电气工程学院

摘要点击次数: 829

中文摘要:

为了提高风能、太阳能和海洋能等可再生能源的利用率，并保证远洋海岛淡水供给，合理地配置微网的源荷储容量是海岛微网建设的关键。结合海岛特有的源荷特点，针对海岛微网源荷储容量配置所面临的问题，文中提出了一种含海洋能发电的远洋海岛微网源荷储容量优化配置方法。分析典型海岛微网结构，并建立波浪能、潮汐能及海水淡化等海岛特有的源荷模型；根据远洋海岛源荷运行特性，将外层容量配置优化和内层运行成本优化相结合，提出海岛微网源荷储容量配置的双层优化模型；考虑供电可靠性和居民用水需求，基于构建的海岛微网协调运行控制策略，利用粒子群算法对双层优化模型进行求解。算例分析表明，文中提出的优化配置方法可以更加合理地实现海岛源荷储容量配置，为未来远洋海岛微网建设提供理论依据和技术支撑。

英文摘要:

To improve the utilization rate of renewable energy such as wind energy, solar energy, and marine energy, and ensure the fresh water supply on offshore islands, reasonable capacity allocation of source, load, and storage in the microgrid is the key to island microgrid construction. Considering the unique characteristics of source and load on islands, aiming at the problems faced by the source, load, and storage capacity configuration in the island microgrid, an optimal capacity allocation method of source, load, and storage for offshore island microgrid containing marine energy was proposed in this paper. Firstly, the typical island microgrid structure was analyzed, and the specific source and load models on islands such as wave energy, tidal energy and seawater desalination were established. Then, according to the operating characteristics of source and load on offshore islands, an outer layer for capacity configuration optimization and an inner layer for operation cost optimization were combined, and the double-layer optimization model for source, load, and storage capacity configurations in the island microgrid was proposed. Finally, considering the power supply reliability and residential water demand, based on a coordinated dispatch strategy in the island microgrid, particle swarm algorithm (PSO) was used to solve the bi-level optimization model. Case study shows that, the proposed optimal capacity configuration method can achieve more reasonable capacity allocation of source, load, and storage in the island microgrid and provide the theoretical basis and technical support for the future microgrid construction on the offshore islands.

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