双语丨浙江金华供电公司创新开展精准柔性负荷控制试点工作

   2022-01-20 互联网中国空分网1920
核心提示:12月28日,由浙江金华供电公司、浙江东阳市供电公司和华北电力大学合作研发的“多元配网低碳资源协同运行工具”,率先在东阳开展精准柔性负荷控制试点

12月28日,由浙江金华供电公司、浙江东阳市供电公司和华北电力大学合作研发的“多元配网低碳资源协同运行工具”,率先在东阳开展精准柔性负荷控制试点工作。该工具是集经济、低碳和安全调度辅助决策于一体的“虚拟电厂”,借助其协同调控能力,可有效实现区域内负荷平衡,保障电力安全可靠供应。
On December 28, the "Collaborative Operation Tool for the Multi-Low-Carbon Resources of Distribution Network ", which jointly developed by State Grid Jinhua Power Supply Company, State Grid Dongyang Power Supply Company and North China Electric Power University, used in Dongyang for the first time with its function of precise and flexible load control. This Tool is considered as a “virtual power plant” that integrates economy, low-carbon and assisting the safe dispatch. With its coordinated control capabilities, it can effectively achieve regional load balance and ensure safe and reliable power supply.

为支撑甬金铁路建设,东阳市松岗变电站自12月28日起配合计划停电。据此前预测,江北和六石街道区域内用电高峰期间存在约2万千瓦的负荷缺口,以此为契机,工具迎来了首次应用。试点过程中,工具依据此区域内的197家工业企业用电负荷情况一键生成错峰用电计划,监控企业实时负荷与计划负荷的偏差,根据工具中预设的负荷预警偏差及时进行了告警,提醒调度、营销等专业人员关注错峰用电执行进程,较好地实现了需求侧无感电力调度和计划停电场景下错峰用电业务全流程的数字化,达到了松岗变区域内电网“削峰填谷”的效果。

In order to support the construction of the Yongjin Railway, Dongyang Songgang Substation would cooperate with the planned power outage on December 28. According to the prediction, there would be a load gap of about 20,000 kilowatts during the peak period of power consumption in the Jiangbei and Liushi streets. Taking this as an opportunity, the tool was applied for the first time. During the application, the tool generated a peak-shift power plan based on the power load situation of 197 industrial enterprises in this area, monitored the deviation of the real-time load from the predicted load, and prompted an alarm based on the preset load warning deviation in the tool, reminding the dispatching and marketing staff to pay attention to the implementation process of peak shift, and realized the digitization of none perception power dispatch under the demand-side and peak shift of power consumption in the planned power outage scenario, optimizing the power supply in Songgang Substation area.

在试点应用中,供电所员工反馈以往的错峰用电工作需要消耗大量精力选择停电企业、约定停电时间、计算停电当日相关企业满足负荷缺口所需可调负荷量,借助工具一键生成策略及负荷调整监视预警等功能,有效降低人力劳动,大幅度提升工作效能,实现了企业负荷调控的最优配置,创新探索了应用电力大数据支撑精细柔性负荷控制的高效路径。

During the application, the staff of the local power supply station reported that peak shift of power consumption took them a lot of time in the past to select the blackout company, agree on the blackout time, calculate the adjustable load required by the relevant company to meet the load gap at that time. And using the tool to generate the strategy, monitor the load adjustment, etc. effectively reduce manpower, improve work efficiency, optimize the enterprise load control, and innovatively explore the efficient path of applying big data to support presice and flexible load control.

据了解,该工具还可通过负荷特征提取建立多元负荷主题特征库,实现聚合分布式光伏、储能、电动汽车充电站和工商业电力用户负荷等可调负荷,构建电力用户负荷画像,根据调度目标一键生成负荷聚合单元,实现挖掘多元负荷调度潜力,智能编排日前计划,支撑区域电网的平衡调控,为打造高弹性智能配电网打下基础。

It is understood that the tool can also establish a multi-load theme feature library through load feature extraction to realize the aggregation of adjustable loads such as distributed photovoltaic, energy storage, electric vehicle charging stations, and industrial and commercial power user loads. And building a power user load profile according to scheduling goals to generate load aggregation units with one click to bring out the potential of multiple load dispatching. It can also intelligently arrange the day-ahead plan, support the balanced regulation of regional power grids, and lay the foundation for building a highly flexible and intelligent distribution network.

  

下一步,浙江金华供电公司将总结分析此次工具应用场景落地的经验做法,持续优化完善工具功能。未来工具可根据电力营销需求响应、电力调度和电力市场等业务需求,依托内置的经济最优、碳排放最低、电力实时平衡等多种调度策略,有效支撑负荷的协同优化调度,压降电网峰谷差,助力区域内双碳目标的落地,支撑新型电力系统建设。

In the next step, State Grid Jinhua Power Supply Company will summarize and analyze the application results and continue to optimize and improve the tool functions. In the future, the tool can effectively support coordinated and optimized dispatch of loads and reduce power grid peaks based on built-in economic optimization, lowest carbon emissions, and real-time power balance strategies for business demands such as power response, dispatch and marketing, to achieve the carbon peak and carbon neutrality targets, in the region and support the construction of the new type of power system.

 
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