A DISPATCHER TRAINING SIMULATOR SYSTEM INTEGRATED WITH THE EXIST SCADA/EMS

To utilize exist SCADA(Supervisory Control and Data Acqui si tion)/EMS (Energy Management System) fully and economize capital, Henan Electric Power Dispatching and Communication Center in China established a set of Henan Dispatcher Training Simulator (HNDTS) base on its exist SCADA/EMS. In order to i ntegrated with exist SCADA/EMS, the integration method and technique are propose d. Graph data integration discussed with emphasis. After integration implemented , HNDTS can share all data with SCADA/EMS and dispatchers can be trained in same environment as real work situation, in the same time it can avoid amout of work of maintenance engineers. Both advantages and disadvantages of integration are analyzed. In the end of paper, the requirement for future DTS is put forward bas e on the experience of author.

Synergetic Dispatch of Power System with Integration of Large-Scale Renewable Energy

This paper comes up with a concept of synergetic advanced dispatch in order to deal with the ever-increasing uncertainty in power grid: Decision is made with respecting to AGC units and active load on the basis of synergetic unit combination such that active load’s advantages in regulation speed is put to full use in achieving efficient cooperation with renewable energy power. Meanwhile, factoring in allowable frequency variation range during decision-making may help to reduce AGC units’ regulation load and improve power grid's capacity of accommodating renewable energy power. Calculation example analysis suggested that the model and technique presented in this paper is capable of efficient coordination between active loads and renewable energy power, delivering friendly transition with day-ahead dispatch and AVC control.

Real-time OHT Dispatching Mechanism for the Interbay Automated Material Handling System with Shortcuts and Bypasses

As a key to improve the performance of the interbay automated material handling system （AMHS） in 300 mm semiconductor wafer fabrication system, the real- time overhead hoist transport （OHT） dispatching problem has received much attention. This problem is first formu- lated as a special form of assignment problem and it is proved that more than one solution will be obtained by Hungarian algorithm simultaneously. Through proposing and strictly proving two propositions related to the char- acteristics of these solutions, a modified Hungarian algo- rithm is designed to distinguish these solutions. Finally, a new real-time OHT dispatching method is carefully designed by implementing the solution obtained by the modified Hungarian algorithm. The experimental results of discrete event simulations show that, compared with con- ventional Hungarian algorithm dispatching method, the proposed dispatching method that chooses the solution with the maximum variance respectively reduces on average 4 s of the average waiting time and average lead time of wafer lots, and its performance is rather stable in multiple dif- ferent scenarios of the interbay AMHS with different quantities of shortcuts. This research provides an efficient real-time OHT dispatching mechanism for the interbay AMHS with shortcuts and bypasses.

Operating Analysis and Data Mining System for Power Grid Dispatching

The dispatching center of power-grid companies is also the data center of the power grid where gathers great amount of operating information. The valuable information contained in these data means a lot for power grid operating management, but at present there is no special method for the management of operating data resource. This paper introduces the operating analysis and data mining system for power grid dispatching. The technique of data warehousing online analytical processing has been used to manage and analysis the great capacity of data. This analysis system is based on the real-time data of the power grid to dig out the potential rule of the power grid operating. This system also provides a research platform for the dispatchers, help to improve the JIT (Just in Time) management of power system.

Optimal Dispatch in Power Systems with Intermittent Power Sources

With the increasing integration of intermittent power sources (IPSs) into the power system, the uncertainty of IPSs requires solution and current dispatch system needs improvement. This paper aims to generate the optimal dispatch plan for day-ahead scheduling and real-time dispatch using the proposed model of characteristic optimal power flow (COPF). The integral time period represented by the median load point and the heavy and light load point with simplicity and accuracy. Simulation case studies on a 30-bus system are presented, which shows that COPF is an effective model to generate the optimal dispatch plan for power systems with high penetration of IPSs.

新能源电力系统不确定优化调度方法研究现状及展望

风电场和光伏电站出力的不确定性给电力系统优化调度带来很大技术挑战。文中主要介绍了考虑新能源不确定性的电力系统优化调度方法的研究现状及后续研究方向展望。首先,重点论述了各种不确定优化调度(UOD)方法,包括随机优化方法、鲁棒优化方法、随机鲁棒优化结合方法和基于人工智能技术的方法。其中,随机优化方法包括场景法、机会约束规划法和近似动态规划法;鲁棒优化方法包括传统鲁棒优化法和分布鲁棒优化法;随机鲁棒优化结合方法包括采样鲁棒优化法和分布鲁棒机会约束规划法。然后,介绍了每一种方法的优化模型形式、模型的转化和求解原理及其优缺点。最后,对UOD的后续重点研究方向进行展望,包括兼顾多个目标的UOD问题及多目标不确定优化方法、输配系统UOD问题及分布式不确定优化方法、考虑稳定性约束的UOD问题及含常微分方程约束的不确定优化方法、考虑管道传输动态的综合能源系统UOD问题及含偏微分方程约束的不确定优化方法。

含整体煤气化燃料电池-碳捕集电厂的风火储系统分布鲁棒调度方法

整体煤气化燃料电池(integrated gasification fuel cell,IGFC)是与碳捕集技术高度适配的清洁、高效、稳定的绿色煤电技术,有望克服传统碳捕集技术在低浓度CO_(2)环境下产生的高成本、高能耗问题。该文构建含IGFC碳捕集电厂的风火储发电系统。研究IGFC碳捕集电厂的运行机理,对IGFC内部各环节建立数学模型,提出工况匹配时燃烧利用率和阴极空气利用率需要满足的运行条件,并针对该型碳捕集电厂的电碳特性进行分析。为计及风电出力的不确定性,构建风火储系统的两阶段分布鲁棒经济调度模型,引入k阶适应性理论,提出基于正交支撑子集策略的求解方法来获得鲁棒对等式。最后,在改进IEEE-30节点系统中进行算例分析,结果表明,该型碳捕集电厂可利用阳极碳富集的优势,实现系统低碳经济调度的目标,并验证所提优化方法能为可行解提供可解释性。

Online Dispatching Decision Support System for Smart Grid Reservoir Group

Based on the full use of historical reservoir dispatching information, artificial intelligence is applied to grid reservoir group dispatching. A knowledge representation method, which combines dispatching rules and intelligence models, is put forward. The intelligent dispatching system is established and the system architecture is presented. Additionally, the acquisition, representation and reasoning mechanism of reservoir dispatching knowledge are designed in detail.

A Multi-Agent Particle Swarm Optimization for Power System Economic Load Dispatch

A new versatile optimization, the particle swarm optimization based on multi-agent system (MAPSO) is presented. The economic load dispatch (ELD) problem of power system can be solved by the algorithm. By competing and cooperating with the randomly selected neighbors, and adjusting its global searching ability and local exploring ability, this algorithm achieves the goal of high convergence precision and speed. To verify the effectiveness of the proposed algorithm, this algorithm is tested by three different ELD cases, including 3, 13 and 40 units IEEE cases, and the experiment results are compared with those tested by other intelligent algorithms in the same cases. The compared results show that feasible solutions can be reached effectively, local optima can be avoided and faster solution can be applied with the proposed algorithm, the algorithm for ELD problem is versatile and efficient.

分支定界搜索信息深度引导的电-气互联系统调度决策加速求解方法

电-气互联系统调度决策问题旨在实现天然气系统和电力系统中可调节资源的最佳配置,其精准性与高效性直接影响电-气互联系统运行的安全性与经济性。为描述可调节资源离散状态、非线性运行特性等物理性质,电-气互联系统调度决策问题中含有规模庞大的离散决策变量,模型复杂度高,使得现有依赖于商业混合整数线性规划(MILP)求解器的电力系统运筹优化技术面临“组合爆炸”的计算负担。为此,该文提出一种分支定界搜索信息深度引导的电-气互联系统调度决策加速求解方法。所提方法利用分支定界初始搜索阶段的信息构建小规模辅助MILP模型,并内嵌于分支定界搜索过程,引导剪除更多冗余搜索空间,在不损失最优性的前提下加速收敛。基于RTS-GMLC电力系统和天然气系统不同负荷水平及线性分段数下的30个算例仿真结果说明,相比于直接使用商业MILP求解器,所提方法在不损失最优性的前提下可实现平均4.20倍的加速,验证了所提方法的有效性。

基于混合储能的风光储联合发电系统优化调度策略及评价

针对用户用电需求和可再生能源发电情况,建立以系统总运行成本最小为优化目标的并网型风-光-蓄电池-废弃矿井抽蓄联合发电系统优化调度模型,以等效负荷方差、联络线波动率、供电损失率为评价指标衡量优化调度结果,利用CPLEX求解器对调度模型进行最优求解。对3种不同储能形式的优化调度模型进行仿真对比,结果显示:储能形式为蓄电池和废弃矿井抽蓄的混合储能时的总成本相比蓄电池与废弃矿井抽蓄分别减少了62.21%与49.18%;利用组合熵权秩和比法对优化结果进行排序评价,风-光-蓄电池-废弃矿井抽蓄联合发电系统加权秩和比值为0.833,评分排序最优。所提模型在提升系统运行经济性的同时,提高了系统供电的可靠性,验证了所提模型的合理性与有效性。

新型电力系统中的规划运营与电力市场:研究进展与科研实践

“碳达峰、碳中和”战略目标下,能源结构清洁化—可再生能源并网比例不断提高、能源要素多元化—发输配用各环节海量灵活性资源接入两大趋势带来的挑战,对电力规划、调度运营、电力市场产生了重大影响。规划中如何综合考虑海量运行场景与多元化要素,运营中如何高效调度多样灵活性资源,市场如何设计机制激励主体提供灵活性,都是新型电力系统建设亟待解决的问题。该文从电力规划、调度运营、电力市场3个层面出发,对近年来新型电力系统中规划运营与电力市场的相关研究进展进行系统梳理,涵盖基础理论、机制设计、应用研究、系统研发等多类型研究文献。进一步从规划、调度、市场3个方面展望未来研究趋势,如新型要素接入下的电网韧性、电碳耦合调度理论与高效求解技术、辅助服务与容量市场交易品类、考虑储能等新型主体的市场交易机制等,以期为我国新型电力系统的建设提供有益参考。

小型水库预报预警系统研发与应用

针对小型水库洪水预报预警研究不足问题,以构建的分布式水文模型、缺资料地区参数移植技术,以及小型水库防洪预警方式与指标体系、预警方案编制等为支撑,利用Java语言、Vue技术、ElementUI组件、EChart组件、Spring Boot、JSON数据交互等技术,设计开发了一套基于B/S架构的标准化、通用型小型水库预报预警系统。介绍了系统的设计模式及功能结构,阐述了基础信息展示、洪水预报、防洪调度、洪水预警、数据管理、基础空间地理分析等主要系统模块的设计,以及系统开发关键技术。以在安徽省的应用为例,展示了系统具备的可靠性、灵活性与实用性。

含碳捕集电厂与氢能多元利用的综合能源系统低碳经济调度

随着中国“碳达峰·碳中和”战略的不断推进,综合能源系统的绿色低碳转型迫在眉睫。针对传统碳捕集电厂灵活性较差、风电并网难以消纳等问题,提出一种含碳捕集电厂与氢能多元利用的综合能源系统低碳经济调度模型。首先,引入储液罐对传统碳捕集电厂进行改造,提高电厂应对风电波动的运行灵活性;其次,构建含两段式电转气、氢燃料电池、储氢罐和掺氢热电联产在内的氢能多元利用结构,以充分挖掘氢能利用与碳捕集电厂的协同运行潜力。在此基础上,引入阶梯碳交易机制,建立以碳交易、碳封存、燃煤及购气成本之和最小为优化目标的低碳经济调度模型。算例结果表明,文中模型能够有效提高系统的风电消纳水平和能源利用效率,具有显著的低碳经济效益。此外,碳交易基准价格的合理设定能够引导系统提高碳捕集水平。

基于火电灵活性改造的可再生能源消纳系统成本优化

随着风电等可再生能源的大规模发展,带来了消纳难等新挑战,通过火电灵活性改造可以增强电力系统灵活调节能力、提升可再生能源消纳空间,同时需要考虑火电灵活性改造的经济性和对可再生能源消纳的影响。因此,综合考虑火电机组常规运行成本及灵活性改造后增加的各项成本,结合碳排放成本和弃风成本,建立以总成本最小为目标的火电灵活性改造前后优化调度模型,采用对比差值法计算基于火电灵活性改造的可再生能源消纳系统成本。通过算例,将所建模型应用于对比改造前后、不同碳排放强度、是否考虑弃风等不同方案下的机组运行状况及消纳系统成本大小,并拟合得到可再生能源渗透率和消纳系统成本的关系曲线,验证了模型的有效性。

考虑柔性电/热负荷的综合能源系统分布鲁棒优化调度

综合能源系统(integrated energy system,IES)的效益分析不仅取决于能源供给侧的调度方案,也受到需求侧用能方式的影响。基于此,在IES的需求侧引入柔性负荷响应,以平滑负荷曲线,进一步提升IES的风电消纳能力和经济效益;同时为尽量减小供能侧风电出力不确定性的影响、实现调度方案鲁棒性与经济性的均衡,构建了考虑柔性电负荷和柔性热负荷的IES两阶段分布鲁棒优化调度模型:预调度阶段以IES的日前综合调度成本最低为目标;再调度阶段以风电历史数据为基础,寻找最恶劣风电出力概率分布下的最优机组调节方案,并使用列约束生成算法进行求解。最后,采用算例验证了该模型的有效性。

计及最小惯量约束的风光火储联合系统优化调度

风、光、储多种新能源并网使系统常常处在低惯量运行场景下,给考虑频率稳定的系统优化调度带来极大挑战。为此提出了一种计及最小惯量约束的多源联合电力系统优化调度模型。首先,综合考虑两项频率指标,计算满足频率指标的系统最小惯量需求,将非线性的频率稳定约束转化为线性的最小惯量约束加入调度模型之中。其次,利用含模糊参数的机会约束表达源荷不确定性对于联合系统的影响,建立模糊参数下的系统优化调度模型。最后,通过IEEE 30节点系统验证了该模型的经济性与安全性。

卡片导航平衡控制系统性能仿真研究

为了减少装配作业车间内因物料齐套产生的等待浪费,使具有装配约束的关联零件加工进度得到有效协同,设计一类卡片导航平衡控制系统(control of balance by card-based navigation,COBACABANA)。其基于两类卡片循环回路实现任务投放与作业分派的可视化进度协同控制逻辑。本文详细介绍系统的运行机制和系统控制参量,通过构建一般化的装配作业车间仿真模型,探讨在不同装配关联度下各控制参量的性能变化。实验结果表明,COBACABANA系统性能良好,并且选择合适的控制参量就能够有效提升关联零件的进度协同性。

电能-甲醇跨区协同输运下的电-氢耦合系统调度

针对我国电氢供需时空分布不均导致新能源利用率低、系统运行成本过高等问题,提出一种电能-甲醇跨区协同输运下的电-氢耦合系统调度方法。首先,根据送、受端区域的能源供需特征、电/氢子系统运行特性及甲醇氢载体属性,设计电-氢耦合系统跨区协同运行机制和调度框架,提出电能-甲醇联合输运下的送、受端供需平衡模型,充分利用甲醇的灵活储运能力促进新能源跨时空消纳;然后,构建电能-甲醇跨区协同输运下的电-氢耦合系统双层优化调度模型,考虑长时间尺度下的电、氢能量平衡,以天为调度尺度建立上层模型,确定甲醇输运和机组起停方案;考虑短时间尺度下的电力平衡、氢供需平衡约束,以小时为调度尺度建立下层模型,确定送、受端系统各小时的运行计划,从而实现异质能源的跨时空协同互补,保障送、受端区域多时间尺度能量供需平衡;最后,基于改进的HRP 38系统进行仿真分析,结果表明电能-甲醇跨区协同输运能够显著提高系统经济运行水平,促进新能源规模化消纳。