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储能电站如何持续创收?曼恩斯特打造 AI 驱动的全生命周期运营管理体系

http://www.gubit.cn  2026-08-12  曼恩斯特内幕信息

来源 :曼恩斯特2026-08-12

  同样的储能电站,为什么运营表现会有所不同?从设备状态、运行策略到市场环境,影响长期表现的因素远不止建设本身。运营能力,正在成为拉开差距的关键变量。运营不到位,不仅影响电站安全运行,也会导致收益波动,制约资产长期价值释放。

  因此,对储能项目业主与投资方而言,电站建成只是基础,长期运营能力正成为影响资产表现的重要因素。

  基于新能源领域的技术积累,曼恩斯特于 2023 年布局储能业务,从储能设备起步,逐步延伸至项目开发、项目投资、电站建设、智慧运营及资产增值,形成全链路服务体系,推动储能电站从建设交付走向长期运营。

  01

  安全稳定

  筑牢运行底线

  为保障电站长期安全稳定运行,曼恩斯特围绕设备监测、风险预警和运维管理,构建覆盖运行全过程的安全管理能力。

  曼恩斯特自研的 BMS 电池管理系统,协同 AI EMS 能源管理平台运行,将电池、PCS、消防、温控等关键设备接入相关系统,实现场站、设备及电池系统多层级运行数据的采集与集中监测。

  结合 Pack 级在线监测、EIS(电化学阻抗谱)检测等技术,将监测延伸至 PACK 和电芯,形成多层级状态感知,并支持劣化趋势分析及电芯健康状态评估,为预防性维护提供决策支撑,显著降低运维成本。

  通过数字化运维体系,平台运营项目设备年均可用率保持99%以上。

  02

  AI 智能运营

  从经验判断走向数据驱动

  为了提升电站运行效率,曼恩斯特打造 AI 驱动的全生命周期运营管理体系。

  基于 EMS 能源管理平台和智慧储能云平台,融合设备、气象、市场、负荷及电价等多维数据,借助自研多因子 AI 电价预测模型、负荷智能研判模型和全域智能调度能力,持续优化充放电策略和能源调度,实现削峰填谷、需量管理、新能源消纳及调频辅助服务等多场景智能协同,并支持多电站集群协同与高效能量规划。

  吴忠、淮安等项目实践显示,电价预测准确率达 85%以上,较同类模型提升 6.6%,项目收益较测算目标超额 2%~5%。

  宁夏吴忠同利第三储能电站

  03

  源网荷储协同

  多元收益叠加

  在提升运营效率的基础上,曼恩斯特进一步拓展储能的多元化运营场景。曼恩斯特围绕电力市场化运营,整合源网荷储多场景资源,结合 AI 预测与智能调度能力,拓展虚拟电厂聚合及售电交易等业务,从电源侧、电网侧到用户侧构建多元收益来源:

  电源侧收益

  提高新能源消纳利用率,峰谷套利实现低充高发增值,容量租赁实现资产变现

  电网侧收益

  提供调峰调频灵活性资源,获取备用容量辅助服务补贴,延缓电网扩容投资压力

  用户侧收益

  价差套利降低用电成本,需量管理优化基本电费,绿电交易响应补贴与溢价

  以上收益模式,已在曼恩斯特参与的多个项目中落地验证。项目实践与运营数据持续沉淀,为 AI 模型分析、运营策略优化和运维能力提升提供数据支撑。

  新疆阿拉尔项目

  河北张家口项目

  浙江宁波项目

  广东佛山项目

  从保障设备稳定,到优化运营效率,再到释放资产价值,曼恩斯特将技术能力落实到储能资产运营的每一个环节,帮助储能项目业主与投资方更好地管理电站、优化运营,实现储能资产长期价值。

  Why can energy storage projects with similar configurations perform differently in operation?

  From equipment condition and operating strategies to market conditions, the factors affecting long-term performance go far beyond project construction itself. Operational capability is becoming a key variable that sets projects apart.

  Inadequate operations can affect not only the safety and stability of a power station, but also lead to fluctuating returns and limit the long-term value of the asset.

  For energy storage project owners and investors, therefore, project completion is only the foundation. Long-term operational capability is increasingly becoming a critical factor in determining asset performance.

  Building on its accumulated expertise in the new energy sector, MANST entered the energy storage business in 2023. Starting with energy storage equipment, MANST has progressively expanded into project development, project investment, power station construction, smart operations, and asset value enhancement—building a full-chain service system that helps energy storage projects move beyond construction and delivery toward long-term operation.

  01 | Safety & Stability

  Building a Strong Foundation for Reliable Operations

  To ensure the long-term safety and stable operation of energy storage power stations, MANST has developed comprehensive safety management capabilities covering equipment monitoring, risk warning, and O&M management throughout the entire operational process.

  MANST’s proprietary BMS (Battery Management System) works in coordination with its AI-powered EMS (Energy Management System). Key systems, including batteries, PCS, fire protection, and thermal management, are integrated into the relevant platforms to enable centralized monitoring and multi-level data collection across the power station, equipment, and battery systems.

  With technologies such as Pack-level online monitoring and EIS (Electrochemical Impedance Spectroscopy), monitoring extends down to battery packs and individual cells. This enables multi-level condition awareness, degradation trend analysis, and cell health assessment, providing data-driven support for predictive maintenance while significantly reducing O&M costs.

  Through its digital O&M system, projects operated by MANST maintain an average annual equipment availability rate of over 99%.

  02 | AI-Powered Smart Operations

  From Experience-Based Decisions to Data-Driven Operations

  To improve power station operating efficiency, MANST has developed an AI-driven lifecycle operation and management system.

  Built around its EMS platform and Smart Energy Storage Cloud Platform, the system integrates multidimensional data including equipment status, weather, market conditions, load profiles, and electricity prices. Leveraging MANST’s proprietary multi-factor AI electricity price forecasting model, intelligent load assessment models, and comprehensive intelligent dispatch capabilities, the system continuously optimizes charging and discharging strategies and energy scheduling.

  This enables intelligent coordination across multiple applications, including peak shaving and valley filling, demand management, renewable energy integration, and frequency regulation ancillary services, while supporting coordinated operation across multiple power stations and more efficient energy planning.

  Operational experience from projects in Wuzhong and Huai’an shows that electricity price forecasting accuracy has exceeded 85%, representing a 6.6% improvement over comparable models, while project returns have exceeded projected targets by 2%–5%.

  03 | Source-Grid-Load-Storage Coordination

  Unlocking Multiple Revenue Streams

  Beyond improving operational efficiency, MANST is further expanding the diversified application and revenue potential of energy storage.

  Focusing on market-oriented power operations, MANST integrates resources across source, grid, load, and storage. By combining AI forecasting with intelligent dispatch capabilities, MANST is expanding into areas such as Virtual Power Plant (VPP) aggregation and electricity trading, creating diversified revenue streams across the generation, grid, and user sides.

  Generation-side revenue:

  Improve renewable energy utilization; generate additional value through peak-valley arbitrage by charging at lower prices and discharging at higher prices; and monetize assets through capacity leasing.

  Grid-side revenue:

  Provide flexible resources for peak shaving and frequency regulation; obtain ancillary service compensation for reserve capacity; and help defer the pressure of grid expansion investments.

  User-side revenue:

  Reduce electricity costs through price arbitrage; optimize demand charges through demand management; and respond to incentives and premiums through green electricity trading.

  These revenue models have already been implemented and validated across multiple projects involving MANST. Continuous accumulation of project experience and operational data provides valuable support for AI model development, operational strategy optimization, and O&M capability enhancement.

  From ensuring equipment stability, to optimizing operational efficiency, and ultimately unlocking asset value, MANST applies its technological capabilities across every stage of energy storage asset operations.

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