With carbon peaking and carbon neutrality, the low-carbon energy big data management system uses advanced digital technology to effectively control the carbon emissions and new energy consumption of key enterprises with high energy consumption in real time, accurately quantify the carbon emissions and green energy use of enterprises, and help enterprises to reduce costs, improve efficiency, rationally plan and reduce carbon emissions. In this paper, the author uses the analytic hierarchy process, from three aspects of economy, environment and society, to give weight to indicators, and the topsis model to evaluate the comprehensive benefits between the installation of photovoltaic in 2017 to the use of low-carbon energy big data management system in 2021. The results show that in the application scenario of "green energy code", the low carbon energy big data management system can provide auxiliary decision for increasing the use of green energy, reducing energy consumption, decreasing emission reduction, and controlling planning, which aims to promote the development of green and low carbon economy. On this basis, the low carbon energy big data management system can help the low carbon energy big data management system expand its market and create multiple values by expanding user coverage, deepening application scenarios and innovating business models.

Based on the current energy situation of the world, the safety operation and maintenance needs of users are more and more important. Considering the hysteresis and passivity defects existing in the traditional energy safety operation and maintenance system, this paper analyzes an intelligent energy safety operation and maintenance system by combining modern Internet communication technologies. Firstly, a five-dimensional spatio-temporal database is established with historical and real-time data through the ‘cloud-edge-to-end’ data collection system. Then, data optimization is worked based on intelligent algorithms such as PCA, PSO and etc., which can achieve the automatic scene recognition and diagnosis. The intelligent energy safety operation and maintenance system proposed in this paper can quickly and accurately diagnose energy usage scenarios based on real-time operation data, intelligent identification of faults and optimal operating conditions, which can achieve the goal of ensuring the safe operation of equipment.

The safe operation and maintenance of lithium batteries not only needs to monitor the working status of lithium batteries timely and accurately, but also needs to evaluate its health status and automatically switch the backup battery when safety hazards are found. However, research on the safe operation and maintenance of lithium batteries is still lacking. In light of this, this paper constructs a safe operation and maintenance mechanism by monitoring the voltage and surface temperature of the lithium battery. In addition, a novel online health assessment model based on GRU-CNN is proposed to find out the potential safety hazards of lithium batteries timely. The working voltage, current and ambient temperature are used as the input features of the model to predict the degradation of lithium batteries in advance. In addition, a security operation and maintenance controller is designed to quickly switch the backup battery pack when a lithium battery pack appears to have performance degradation or security risks. The system realizes the real-time monitoring of the safe operation of lithium batteries and the rapid assessment of health status, providing technical guarantees for the reliable, stable, and safe operation of the lithium battery system. The experimental comparison verified that the proposed assessment model of the status of health (SOH for short) has less prediction error.

Energy safety operation and maintenance system is a fast and accurate fault diagnosis process. With the trend of digital development in today's world and the gradual improvement of enterprise's energy safety structure, it is urgent to design a new energy safety operation and maintenance system to ensure the safety of enterprise energy equipment. In this paper, AI and artificial hard rules are combined to design a energy safety operation and maintenance system to replace the old energy safety operation and maintenance system. The historical data of energy equipment is used to build a cloud database, and the data is acquired by sensors in real time for updating and iteration. The scene diagnosis model is built according to the original data and applied to energy safety operation and maintenance system. When the sensor obtains data in real time and input it into the model calculation, the data can be optimized, the risk can be predicted, and the energy scenario diagnosis can be completed quickly and accurately.

随着物联网技术的逐渐成熟,智能终端设备的大面积接入是大势所趋,智能终端设备接入后的配电网运行模式亟待研究.首先,研究了配电变压器监测终端(distribution transformer supervisory terminal unit,TTU)在电力系统中的信息采集和通信方式;其次,结合TTU的及时响应和智能处理优势,研究了新型智能配电网的运行模式,建立了智能配电台区运行的分布式自主弹性调度模型;最后,以算例的形式进行了验证分析,证明该调度策略不仅可提升可再生能源的就地消纳水平,而且能够在小概率高风险事件下最大限度保障负荷不间断供电.

"十四五"是碳达峰的关键期,是构建清洁、安全、低碳、高效能源体系的窗口期.国网衢州供电公司在实现"双碳"目标的进程中肩负着重要责任和使命. 2020年10月,国网衢州供电公司、衢州市发改委、经信局、生态环境局、大数据局等多部门联合启动"绿能码"项目,依托能源大数据中心开发数字化产品,助力政府、企业和能源供给方在"双碳"目标实现过程中精准施策.

在碳达峰、碳中和的战略目标下,综合能源系统作为能源革命的切入点和主要低碳实践路径,可以提升综合能源利用效率、降低社会能效.在保障系统安全可靠的前提下,为提高综合能源系统源端规划的经济性,本文提出一种基于果蝇算法的综合能源容量优化配置方法,通过对建设地区风力发电、光伏发电经济性的判断,确定是否需要建设风力发电、光伏发电的前提,然后拟合目标用电曲线和新能源电源出力曲线,构建以投资总净现值成本最小为目标的分阶段容量优化模型,并运用果蝇优化算法对模型求解,得到风电、光伏最优配比结果,最后在此基础上配置储能容量.该模型为综合能源系统建设提供了新的方向和思路,具有较强的实用性和可操作性.

针对综合能源系统容量控制问题,分析能够实际应用于建设中的容量优化配置模型的影响因素,以实际用电情况和需求为基础,构建多阶段模型,并利用果蝇优化算法等完成模型的求解,从而得到综合能源系统最优容量配置比例,为企业、园区等建设综合能源系统提供参考和决策支撑.

基于SWOT模型,分析电网企业应逐步完成从经营理念向市场化理念的转变、从经营型机制向市场化机制过渡,从而促进综合能源服务业务进入可持续发展的良性循环,平稳高速发展.

随着传统化石能源的不断消耗、可再生能源的高效利用和互联网建设的高速发展,综合能源系统概念的提出快速推动了区域综合能源领域的发展.作为能源互联网的重要载体,区域综合能源系统对提高综合能源利用效率,促进节能减排具有重要意义.针对目前国内外区域综合能源多能耦合规划的研究,从源-网-荷的研究角度进行分析整理与概括,为区域综合能源多能耦合研究提供参考.

近年来,随着电力营销在电力企业发展中的重要性认识,电力营销概念得到了广泛的认可,针对电力营销的研究也越来越多.有的采用“模糊评判法”对电力营销的目标市场和供电企业的营销状态进行研究,有的则通过建立用电细分市场的物元模型,运用物元模型的可拓展性的评价方法.本文采用基于云测度的电力营销状态评估及预警模型对电力营销作出分析,以具体的一个方面进行建模举例,通过实例对该模型的评估方法进行介绍,最终得出利用该模型的可行性,对电力营销各方面的可行性进行研究.