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“源-网-荷-储-算”五维协同 绿电点亮三江源零碳算力工厂
三江源是国家生态安全屏障和"中华水塔",孕育着长江、黄河、澜沧江三大河流。这里不仅是国家重要 的生态保护区,也是维护全国水源涵养与生态平衡的关键区域。近年来,随着"东数西算"工程的推进, 三江源凭借丰富的新能源资源与广阔的土地空间,成为绿色算力布局的重要节点。清洁能源在此不仅关 乎生态修复与保护,更关乎国家战略实施与能源结构转型。 走进天合光能/中国联通三江源绿电智算融合智能微电网示范项目现场,一排排光伏组件有序铺设,储 能系统稳定运转,源源不断的绿色电力被送入算力中心,驱动高性能计算稳定运行。与以往火电、水电 支撑不同,这里构建"源-网-荷-储-算"五维协同智能微电网系统,实现100%清洁能源自给,为高海拔地 区零碳算力工程打造样板。 实现100%绿色供电 算力中心作为数字经济的核心基础设施,历来是能源消耗大户。天合光能集中式解决方案华北区域总经 理王大威告诉《中国能源报》记者:"算力中心需要24小时高可靠供电,按照目前青海联通已投产的 5000匹算力规模计算,年用电量高达1.5亿千瓦时,主要通过购买火电和水电进行供电,每度电的平均 成本0.42元,且碳排放压力巨大。" 王大威补充说:"我们自主研发的EMS ...
储能电站运行效果核心影响因素分析
JDENERGY 在新型电力系统建设中,储能电站作为 "源网荷储" 协同的关键枢纽,其运行效果直接决定了电网 调峰调频、新能源消纳及用户侧成本优化的实际价值。而设备在线率、设备运行效率、设备充放电 深度(DOD)、设备电池容量衰减率四大指标,是衡量储能电站 "可用性、经济性、安全性、长效 性" 的核心维度 —— 在线率 决定其 "能跑多久"(满功率持续运行时长), 运行效率 决定其 "跑 得多好"(能量利用的好坏), 充放电深度 影响其 "单次能跑多远"(单次出力能力), 容量衰减 率 则关乎其 "能跑多少年"(长期服役寿命)。本文将从这四大指标切入,拆解其关键影响因素, 并结合行业实践提出优化方向,为储能电站运行管理与设备选型提供参考。 01. 设备在线率: 电站"可用性"的基石 设备在线率是指储能电站在计划运行时段内,实际可投入使用的时长占比,是保障电站收益的前提 —— 以 200MW/400MWh 独 立 储 能 电 站 为 例 , 在 线 率 每 降 低 1% , 年 均 充 放 电 量 损 失 可 达 1200MWh。其核心影响因素可归纳为 "设备稳定性、可维护性、灵活冗余机制" 三大维度。 JDE ...
弘正储能杨晓光:拥抱AI,智能化运维可降低度电成本 | 对话能源大咖
Hua Xia Shi Bao· 2025-06-19 11:45
Core Viewpoint - The rise of AI is enhancing the efficiency of energy storage systems in the new energy power sector, allowing for better regulation and management of energy resources [2][3]. Group 1: Company Strategy and Differentiation - Hongzheng Energy Storage aims to differentiate itself by integrating AI into its products, focusing on smart operations and maintenance to reduce the cost of electricity over the entire lifecycle of energy storage [3][4]. - The company is transitioning from being a simple product supplier to a long-term service provider, emphasizing the importance of operational convenience and efficiency for users [5][6]. - Hongzheng Energy Storage is developing a closed-loop system to address operational issues, utilizing a knowledge base to automate processes that were previously manual, thereby reducing costs and improving user experience [4][5]. Group 2: AI Integration and R&D Focus - The integration of AI into energy storage projects is expected to lower costs and improve efficiency in the long term, despite a short-term increase in development costs due to the need for additional R&D resources [6][11]. - The company is expanding its EMS (Energy Management System) team to enhance its capabilities, with plans to grow from 70 to 100 members, reflecting a strong commitment to AI and algorithm development [11][13]. - Hongzheng Energy Storage recognizes the need for multidisciplinary talent to effectively implement AI in energy storage, combining knowledge of energy management systems and battery technology [7][8]. Group 3: Market Position and Competitive Landscape - The energy storage industry is experiencing intense competition, leading to price wars; however, Hongzheng Energy Storage views this "involution" as a natural part of industry evolution, which can enhance capabilities and service quality [10]. - The company is focusing on maintaining a balance between low costs, safety, and high quality, believing that those who can endure and adapt during this competitive phase will succeed [10]. - Hongzheng Energy Storage is targeting commercial energy storage applications, with plans to expand into various scenarios, including peak-valley arbitrage and power quality optimization [12][13]. Group 4: Future Development and Expansion - The company is prioritizing commercial applications over residential storage, with a focus on optimizing energy distribution and service quality in the commercial sector [12]. - Hongzheng Energy Storage has completed product iterations and certifications for overseas markets, indicating readiness to expand its international presence [13].