微电网储能容量优化配置算法仿真

为了确保微电网系统的电能质量和稳定运行,提出基于Benders分解的微电网储能容量优化配置算法。以微电网系统作为研究对象,分析不同储能单元的充放电特性,将储能系统全寿命周期最小成本作为目标函数,组建微电网储能容量优化配置模型。根据模型特点,将模型分解为上下2层子模型,通过Benders分解算法对模型求解,进而获取最优微电网储能容量优化配置方案。经实验测试结果表明,所提算法可以更好完成容量优化配置,经过优化配置后,电网功率波动范围得到了明显降低。     

微电网中混合储能双层模糊控制优化策略北大核心

针对微电网内间歇性电源输出功率波动性问题,建立了负荷偏离度评价指标,提出基于双层模糊控制优化的混合储能系统策略。利用小波包分解的储能系统充放电策略,将小波包分解的中频分量和高频分量作为蓄电池和超级电容器的初级参考功率;结合储能设备的初级参考功率指令和储能设备的荷电状态,采用第一层模糊控制对混合储能设备的功率指令进行第一次修正;再结合储能设备能量的互补特性,运用第二层模糊控制对功率指令进行二次修正。研究结果表明,所提控制策略不仅能保证储能设备的荷电状态运行在安全稳定的范围内,同时能削弱因单层模糊控制引起的最终负荷偏离其负荷调度曲线的影响。     

基于边缘计算的混合储能多微电网功率自适应控制

在微电网中,将多个双向接口变换器并联可提高微电网两侧的功率交换能力,但并联变换器的微电网难以有效控制。研究发现,微电网接入储能系统可以缓冲功率波动、降低功率控制难度。为保证微电网稳定运行,提高功率控制精度,本文提出了基于边缘计算的混合储能多微电网功率自适应控制方法。研究基于边缘计算技术,分析了混合储能多微电网结构,并构建了一个用于混合储能多微电网的自动管理平台。在此基础上,通过对母线实时电压的控制实现频率的调节,增强接口变换器的稳定性,以完成混合储能多微电网功率交互的调度与控制。在混合微电网中,我们接入储能系统,通过功率交换控制、自主功率分频自适应控制实现了混合储能多微电网的功率自适应控制。实验结果表明,所提方法在混合储能多微电网功率控制方面效果较好,有功功率控制误差较小,能够有效保证混合储能多微电网稳定运行,并提高功率自适应控制准确度。     

粒子群算法下考虑停电成本的微电网储能优化配置模型

本文以粒子群算法为基础,在考虑停电成本前提下,构建了微电网储能优化配置模型。根据微电网负荷特征构建了多类型负荷停电损失模型,提出了以等微增率法为载体的负荷停电时间优化配置方式,并基于新增储能成本与停电损失最小化原则,生成储能优化配置模型,然后以粒子群算法完成了模型求解。通过实例验证,结果表明,本文提出的基于粒子群算法的微电网储能优化配置模型,可在严格遵守负荷最优化停电下,科学合理决策储能容量,且在很大程度上降低总成本。     

混合微电网互联变换器功率分配优化控制研究

互联变换器进行功率传输时,针对子微网承担的功率应考虑两侧子网容量的问题,将容量权重因子引入功率运行特征式,经过积分运算后得到新型混合下垂控制.在电压-频率取值范围内,推导出容量约束条件,在此基础上提出互联变换器功率分配优化控制策略.结合子微网下垂控制方程,计算互联变换器的能量流动参考值.考虑到系统抗负载频繁投切能力较差...     

基于模糊PID的混合储能技术在微电网中的应用

基于成本和控制效果考虑,单一的储能元件无法抑制全频段的功率波动,普通的协控制策略又无法实现实时调节参数以适应微电网随环境的变化,本文提出将基于模糊PID的混合储能的技术应用到微电网中,先从系统的构成和工作原理出发,分析混合储能技术在微电网中的应用,而后根据系统的构成和数学模型提出基于模糊PID的协调控制策略,并将此策略应用到光伏系统的仿真中,根据仿真结果的对比分析,系统的输出功率波动得到更好的抑制,储能元件有更好的运行特性,体现了该种方法的优越性。     

复杂因素下的多用户共享储能系统优化

储能系统(ESS)具有削峰填谷,降低用户用电成本的作用.针对单用户独立投入储能系统成本过大的问题,提出了一种共享模式下的储能系统调度策略.考虑了一次性投资成本、运行维护、寿命周期、削峰获利等因素,以最小化日均投资运行成本为目标函数,加入了储能系统能量约束、功率约束、日均投资维护成本模型等,建立了混合整数线性规划(MILP)模型.研究了不同放电深度对日均投资成本的影响.仿真结果表明共享储能模式相对于单用户储能模式节省14.17%.     

混合储能微电网并网调度多目标灰熵烟花算法

针对混合储能微电网调度优化问题,建立并网状态下经济收益、污染处理费用的混合储能微电网多目标优化模型.以基本烟花算法为框架,结合灰熵并行分析理论,提出一种多目标灰熵烟花算法.所提算法通过分配给模型的两个目标不同的熵值权重,有效处理不同目标间的冲突性.以灰熵并行关联度作为烟花算法的适应度选择优秀烟花个体,引导其向更优区域进化搜索.仿真结果表明,所提多目标灰熵烟花算法的性能要优于基于随机权重和基于Pareto支配的烟花算法,且优于经典的NSGA-Ⅱ多目标算法,验证了所建多目标模型及所提多目标算法的有效性.     

Hierarchical genetic optimization of a fuzzy logic system for energy flows management in microgrids

Bio-inspired algorithms like Genetic Algorithms and Fuzzy Inference Systems (FIS) are nowadays widely adopted as hybrid techniques in improving goods and services. In this paper we present an interesting application of the fuzzy-GA paradigm to the problem of energy flows management in microgrids, concerning the design, through a data driven synthesis procedure, of an Energy Management System (EMS). The main aim consists in performing decision making for power flow management tasks in the proposed microgrid model, equipped by renewable sources and an energy storage system, aiming to maximize the accounting profit in energy trading with the main-grid. In particular this study focuses on the application of a Hierarchical Genetic Algorithm (HGA) for tuning the Rule Base (RB) of a Fuzzy Inference System (FIS), trying to discover a minimal fuzzy rules set as the core inference engine of an an EMS. The HGA rationale focuses on a particular encoding scheme, based on control genes and parametric genes, applied to the optimization of the FIS parameters, allowing to perform a reduction in the structural complexity of the RB. A performance comparison is performed with a simpler approach based on a classic fuzzy-GA scheme, where both FIS parameters and rule weights are tuned, while the number of fuzzy rules is fixed in advance. Experiments shows how the fuzzy-HGA approach adopted for the synthesis of the proposed controller outperforms the classic fuzzy-GA scheme, increasing the accounting profit by 67% in the considered energy trading problem, yielding at the same time a simpler RB.     

基于Stackelberg博弈的共享储能容量优化与商业模式研究

本文围绕我国能源结构转型面临的系能源大量投入使用所需规模化储能资源支撑的挑战,紧扣新时代战略发展方向,对新型储能商业模式进行研究。我国能源结构转型面临挑战——大量使用新型能源需要规模化储能资源的支撑,本文紧扣新时代战略发展方向,对新型储能商业模式进行了研究。研究了基于新能源互补的共享储能商业运营模式,实现了共享储能设备与新能源发电功率互济,并基于Stackelberg主从博弈方法对共享储能设备租赁进行定价,以实现了用户、储能商、电力公司多方利益的最大化。以用户侧储能为研究对象,建立了基于全寿命周期的储能容量优化配置模型,考虑具有短期用电需求的峰值型用户,提出了基于共享理念的储能合作社商业模式。最后通过算例及现场试验验证了所提出的共享储能商业模式的可行性。     

A stochastic method for the energy management in hybrid electric vehicles

There are many approaches addressing the problem of optimal energy management in hybrid electric vehicles; however, most of them optimise the control strategy for particular driving cycles. This paper takes into account that the driving cycle is not a priori known to obtain a near-optimal solution. The proposed method is based on analysing the power demands in a given receding horizon to estimate future driving conditions and minimise the fuel consumption while cancelling the expected battery energy consumption after a defined time horizon. Simulations show that the proposed method allows charge sustainability providing near-optimal results.     

Systems capacity expansion planning: Novel approach for environmental and energy policy change analysis

Planning for power systems generation expansion follows environmental policies incorporating technologies based on renewables to reduce CO₂ emissions. These policies are susceptible to unpredictable changes, given dynamic economic and political contexts. This paper analyzes the impact of changes in energy policies, motivated by different environmental objectives. The analysis is done through a novel approach coupling Dynamic Programming and Multi-objective programming to generate several energy policy scenarios and their trade-offs, representing plausible policy changes in the different stages of the planning horizon. The results indicate a clear Pareto front and that energy policy scenarios with abrupt changes should be avoided in favor of scenarios with gradual changes. “Greener” energy policies in a given planning stage are not necessarily the best ones considering the full planning horizon, considering the unfolding impacts of current decisions into the future. The approach is useful in improving planners' future vision from myopic into a perspicacious one.     

A bottom-up optimization model for the long-term energy planning of the Greek power supply sector integrating mainland and insular electric systems

The energy planning of power sector constitutes a multifaceted challenge for policy makers, incorporating a variety of economic, technological, environmental, political and social aspects in order to ensure the unhindered equilibrium between electricity demand and electricity supply. This paper presents a deterministic bottom-up Mixed Integer Linear Programming model for the long-term energy planning of national power supply systems, having special focus and modeling effort on the peculiar case of Greece. It is a least cost optimization based model being expanded and enhanced with the integration of electric interconnections and the evident participation of environmental dimension. Its superstructure consists of multiple mathematical expressions representing power demand patterns, technical constraints, operation rules, penetration potential of energy sources, economic aspects, technological availability, environmental obligations and other sectoral targets and commitments applying in the electricity supply field. Its main contribution lies on the holistic methodological approach adopted, concerning the discrete electric systems of mainland and insular areas in Greece by proposing a novel way of simulating the potentiality of their submarine interconnection. The present model is applied on a real case study concerning the Greek electricity planning problem for the period 2014–2024, through the elaboration of two alternative evolution scenarios. The underlying objective is multifarious: (a) to deliver the portfolio of new capacity investments, the fuel mix trend, the penetration of renewable energy sources and the progress of achieving country׳s commitments and targets, and (b) to investigate and highlight the potential economic, energy and environmental benefits arising from the electrical interconnection of Greek islands to the main continental power system.     

AS／400的存储管理及其系统性能调整技术

本文介绍了ＡＳ／４００的存储管理－－单级存储，在此基础上重点讨论了系统性能调整技术。     

Distributed control and energy storage requirements of networked Dc microgrids

Microgrids are a key technology to help improve the reliability of electric power systems and increase the integration of renewable energy sources. Interconnection and networking of smaller microgrids into larger systems have potential for even further improvements. This paper presents a novel approach to a distributed droop control and energy storage in networked dc microgrids. Distributed control is necessary to prevent single points of failure along with flexibility and adaptability to changing energy resources. The results show that systems with random sources and fast update rates, a networked microgrid structure can minimize required energy storage requirements.     

柔性Job shop集成化计划调度模型及其求解算法

考虑不同加工工艺路径的成本因素，从集成化的角度研究了柔性Job shop计划和调度问题，针对问题的结构特点，建立了两层混合整数规划模型，提出门槛接受，遗传算法与启发式规则相结合的混合求解算法，综合考虑各层次决策问题进行求解，实例计算表明，该算法可迅速求得问题的近优解，表现出良好的求解性能。     

A system dynamics model for dynamic capacity planning of remanufacturing in closed-loop supply chains

Product recovery operations in reverse supply chains face continually and rapidly changing product demand characterized by an ever increasing number of product offerings with reduced lifecycles due to both technological advancements and environmental concerns. Capacity planning is a strategic issue of increased complexity importance for the profitability of reverse supply chains due to their highly variable return flows. In this work we tackle the development of efficient capacity planning policies for remanufacturing facilities in reverse supply chains, taking into account not only economic but also environmental issues, such as the take-back obligation imposed by legislation and the “green image” effect on customer demand. The behavior of the generic system under study is analyzed through a simulation model based on the principles of the system dynamics methodology. The simulation model provides an experimental tool, which can be used to evaluate alternative long-term capacity planning policies (“what-if” analysis) using total supply chain profit as measure of policy effectiveness. Validation and numerical experimentation further illustrate the applicability of the developed methodology, while providing additional intuitively sound insights.     

Influence of the mechanical limitations of a traction system on energy storage design

An innovative subway without supply rail is presented. This article deals with the sizing of the required on-board energy between two stations in the worst case. The influence of the mechanical limitations is studied: acceleration, jerk and torque limitations. These limitations have an impact on the total energy required and thus on the size of the on-bard energy storage element. These mechanical limitations must thus to be taken into account in the energy storage design.