Optimal scheduling of zero-carbon park considering variational characteristics of hydrogen energy storage systems

Zero-carbon parks have broad prospects in carbon neutralization.As an energy hub,hydrogen energy storage plays an important role in zero-carbon parks.However,the nonlinear characteristics of hydrogen energy storage systems(HESSs)have a significant impact on the system economy.Therefore,considering the variable working condition characteristics of HESSs,a hybrid operation method is proposed for HESS,to support the efficient and economic operation of zero-carbon parks,By analyzing the operating principle of a zero-carbon park with HESS,the system structure framework and variable condition linearization model of the equipment in HESS are established.Moreover,considering the energy output characteristics of hydrogen energy storage equipment under variable working conditions,a multimodule hybrid operation strategy is proposed for electrolytic and fuel cells,effectively meeting the thermoelectric load demand of zero-carbon parks in different scenarios.Finally,the economy of the proposed hybrid operation strategy was verified in typical scenarios,using a zero-carbon park embedded with a HESS.

考虑车网互动的园区电网动态双层能量管理策略

为解决大量接入的清洁能源出力波动和充电场内汽车数量的随机变化给电网能量管理带来的困难,提出一种园区电网双层优化控制策略.上层基于模型预测控制技术建立风光储集成动态优化模型,综合应用园区电池储能系统和电动汽车(EV)电池储能系统参与电网能量平衡.下层则考虑同时满足EV车主对EV的充电需求和上层能量调度的车网互动管理需求,制定园区电网内停车场的EV有序充放电策略.仿真算例验证表明:所提策略能将分散园区各处的EV储能集成为统一虚拟储能,扩展园区电网储能系统,增加可再生分布式电源的消纳与园区电网的经济效益.

基于综合优化目标的低碳园区能源系统规划配置

低碳园区复合式能源系统合理的规划与配置对提升系统能效、降低成本、减少污染物排放等具有重要意义。首先,基于园区用能需求快速预测方法和能源系统动态仿真平台,提出了以综合评价指标为导向的低碳园区复合式能源系统优化规划配置方法,建立了虎克-捷夫算法和粒子群算法相融合的混合优化算法。然后,以典型低碳园区冷热电三联供耦合地源热泵、蓄能与燃气锅炉的多能系统为例,对比分析了不同优化算法的配置结果和优化速度,研究了综合优化目标最优、全生命周期成本、能耗最低等不同优化目标对容量优化配置结果和系统典型日运行情况的影响。结果表明,本文提出的优化配置方法和混合优化算法可以保证寻优能力、优化精确度,同时提高了优化计算性能。以综合评价目标最优的能源系统配置结果可以兼顾系统成本、经济运行、环境影响及低碳排放等多方因素,更有利于构建低碳园区最优能源形态。

基于能源集线器模型的园区混合能源系统日前优化调度方法

分布式发电和冷热电联供系统在用户侧的集成可构成一个典型多能源园区混合能源系统,可实现包括电能、太阳能、天然气等能源输入,以及电能、热能以及冷能等能源输出形式,可有效提升能源的综合利用效率,降低用户综合用能成本。本文以一个电力与天然气构成的多能源园区混合能源系统为研究对象,对园区混合能源系统中多能源混合资源进行日前优化调度,以降低园区混合能源系统用能成本。首先构建了多能源园区混合能源系统模型;进而,给出了基于能源集线器的多能源园区混合能源系统日前优化调度方法;最后以一个典型的电力与天然气多能源园区混合能源系统为例验证了本文调度方法的有效性。

考虑电池寿命损耗的园区综合能源电/热混合储能优化配置

针对园区综合能源系统(PIES)储能容量优化配置问题,为提升PIES规划-运行经济性,提出了考虑电池寿命损耗的PIES电/热混合储能优化配置方法。首先,构建了适用于PIES规划问题的电池寿命损耗模型,用于量化评估电池寿命损耗;进而,在考虑PIES多能互补特性基础上,引入电池置换成本体现电池寿命损耗的长期影响,以电/热混合储能投资置换成本与运行成本等年值最低为目标函数,建立了PIES电/热混合储能容量双层优化配置模型;最后,通过算例验证了文中混合储能配置方法对系统规划-运行经济性、电池使用寿命的提升效果,并比较分析了电/热混合储能与单一储能对系统规划-运行经济性和电池使用寿命的影响。

基于车载宽增益双向直流变换器的多源电动汽车充放电一体化方法

为了解决目前电动汽车充放电技术存在的车载动力蓄电池的充电器输入电压范围小,以及车载变换器和车载能量管理系统的利用率低等问题,提出一种新的基于车载宽增益双向直流变换器的多源电动汽车驻车充放电一体化方法。与常规的充放电方案相比,该方法不仅实现了常规的车载多能量源与车载直流母线和微网之间的能量交互,对所接入的直流微网进行“消峰填谷”,而且还降低了电动汽车充电器对充电输入电压等级的要求,同时还极大地拓宽了车载动力蓄电池的充电方式,大幅度提高了车载变换器、车载能量管理系统和动力电机的利用率。最后搭建了额定功率为1.2 kW的多源充放电系统的试验平台,通过三组典型的试验结果验证了所提出的驻车充放电一体化方法的合理性和可行性,可在未来的电动汽车充放电技术研究领域进一步推广实现。

Study on the hybrid energy storage for industrial park energy systems:Advantages,current status,and challenges

In order to increase the renewable energy penetration for building and industrial energy use in industrial parks,the energy supply system requires transforming from a centralized energy supply mode to a distributed+centralized energy supply mode.The application of a hybrid energy storage system can effectively solve the problem of low renewable energy utilization levels caused by a spatiotemporal mismatch between the energy source and load.This study summarized the advantages and limitations of common energy storage technologies in industrial parks from the aspects of service life,response time,cycle efficiency and energy storage density,etc.The advantages of the hybrid energy storage system in industrial parks were also discussed in terms of sustainable development,climate change mitigation,social impact,and other aspects.The typical frameworks of hybrid energy storage were summarized,and the advantages,disadvantages,and application scenarios of each typical framework were analyzed.The current status of hybrid energy storage systems was summarized from the aspects of system modeling,hybrid energy storage mechanisms,design optimization,and operation dispatching.At the same time,the key challenges in modeling,regulation,and optimization of hybrid energy storage systems were discussed.This discussion leads to proposals for the direction of future research.The optimization methods and processes for designing and operating hybrid energy storage systems were proposed based on theoretical frameworks and methods.It is hoped that this review can provide some guidance and serve as a reference for developing and applying hybrid energy storage systems in industrial parks.

面向能源互联网的零碳园区智能感知设备优化规划方法

面向能源互联网的零碳园区以新能源为主体,汇集了高比例风/光/生物质等可再生能源、氢发电、煤电等能源形式。然而,目前零碳园区设备数据状态感知研究较少。为合理规划零碳园区中用于数据收集与分析的智能感知设备,保证零碳园区能源系统可靠、安全、优质、低碳和经济运行,提出一种面向能源互联网的零碳园区智能感知设备优化规划方法。首先,分析零碳园区状态感知设备的要求,制定了智能感知设备优化规划的原则,考虑投资成本、维护成本、故障成本等方面,提出了零碳园区智能感知设备优化规划的数学模型;其次,为实现所制定数学模型的准确求解,提出一种灰狼-教与学混合优化(grey wolf and teaching-learning hybrid optimization, GWO-TLBO)算法;最后,以一个零碳园区的实际案例作为仿真验证,验证了文章所提出的零碳园区智能感知设备优化规划方法可显著降低生命周期成本,与现有智能算法的对比实验表明所提出的GWO-TLBO算法具有较高的求解精度。