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源网荷储系统优化调度技术的应用研究

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源网荷储系统优化调度技术已成为实现电力系统可持续发展和高效运行的关键,对于实现清洁能源转型、提高电力系统的效率具有重要意义。通过研究源网荷储系统的优化调度问题,提出源网荷储管理平台的技术架构和关键技术,即从线性规划模型、粒子群算法、遗传算法、模糊综合评判方法等方面剖析调度优化算法,平台通过数据采集与分析、实时调度方法、调度策略和调度优化算法等模块的协同配合,从而实现电力系统的高效和可靠运行。从清洁能源消纳、储能技术发展、智能化和自动化、协同调度和市场化等方面探讨源网荷储系统的发展方向与趋势,指出源网荷储系统未来将推动清洁能源的大规模消纳,提高电网的稳定性和经济性。
Application research on optimal scheduling technology of source-grid-load-storage system
The optimal scheduling technology of source-grid-load-storage system has become the key to realize the sustainable development and efficient operation of power system.It is of great significance to realize the transformation of clean energy and improve the efficiency of power system.By studying the optimal scheduling problem of the source-grid-load-storage system,the technical architecture and key technologies of the source-grid-load-storage management platform are proposed.The scheduling optimization algorithm is analyzed from the aspects of linear programming mod-el,particle swarm optimization algorithm,genetic algorithm and fuzzy comprehensive evaluation method.The plat-form cooperates with data acquisition and analysis,real-time scheduling method,scheduling strategy and scheduling optimization algorithm to achieve efficient and reliable operation of the power system.The development direction and trend of the source-grid-load-storage system are discussed from the aspects of clean energy consumption,energy stor-age technology development,intelligence and automation,collaborative scheduling and marketization.It is pointed out that the source-grid-load-storage system will promote the large-scale consumption of clean energy and improve the stability and economy of the power grid in the future.

source network load storage systemscheduling technologyrenewable energydata collection and a-nalysisreal-time scheduling methodscheduling strategyscheduling optimization algorithm

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中煤科工清洁能源股份有限公司,北京 100013

源网荷储系统 调度技术 可再生能源 数据采集与分析 实时调度方法 调度策略 调度优化算法

中国煤炭科工集团有限公司科技创新创业资金专项2024年重点资助项目

2024-ZD006

2024

煤质技术
煤炭科学研究总院

煤质技术

影响因子:0.393
ISSN:1007-7677
年,卷(期):2024.39(4)