基于遗传算法的水火电混合电力系统短期发电计划优化

在改进传统遗传算法的基础上,提出了水火电混合电力系统短期发电计划优化问题的数学模型和求解方法.模型计及了水电机组的发电流量、净水头和输出功率间的非线性关系,水电系统中多级水库的水流延迟等因素.算例表明本算法能更有效地达到或接近全局最优解,对编制大型水火电混合电力系统的日调度计划有实用价值.     

贵州水火电经济评价及其在电力系统中的最优配比研究

本文根据贵州省水火电资源优势,对近期准备开发的水火电工程进行了经济计算和分析评价,得出了水电的各项经济评价指标远比火电高、水电比火电经济的结论,并论述了水电的综合利用效益大和优先开发水电的经济优越性。通过电力系统水火电不同容量配比时年费用计算和绘制年费用曲线,求出了电力系统水火电最优配比和2000年贵州电力系统水火电最优配比装机。     

基于互补机制的水火电力系统机组组合

针对水火电力系统短期发电计划中火电机组的开停机组合与水电调度问题解法复杂性,提出以水电发电量最大、耗水量最小和火电煤耗量最小且具有时序的3个优化子问题的发电调度模型,综合考虑一个调度周期内系统机组的运行状态。基于解耦的水火电力系统优化模型不仅可以确定水电的最佳放水策略,也可以体现水电和火电互补作用,充分提高水火电力系统联合运行的经济性。针对水电系统强非线性特点,采用新型随机全局优化仿电磁学算法进行求解,对火电系统则采用改进微粒群优化算法进行求解。通过一个具有3个体积水电站和5个火电厂的水火电力系统的仿真分析,表明以互补机制为理论基础的优化模型的正确性及算法求解的有效性。     

计及弃水电量价值的水火电短期联合调度模型

针对水电装机容量较高、调节能力较弱的电网汛期水火电发电计划制作困难的问题,充分考虑汛期水电出力受阻、火电多段成本深度调峰及电网备用容量需求,以计及弃水电量价值的汛期水火电总运行成本最小为目标,构建水火电短期联合调度模型。通过耦合弃水电量计算的一体化水火电计划制作方式,简化汛期水火电发电计划制作的过程,提高发电计划的精确性。所建模型通过混合整数线性规划实现,并利用Gurobi求解器对其进行快速求解。广西电网的算例仿真结果表明,所提调峰弃水电量计算方式更为精确,弃水电量价值的引入可协调汛期水火电运行,同时,相较于现行水火电分层调度方式,汛期水火电联合调度方式在保证电网安全运行的前提下,可实现清洁能源高效利用,降低火电运行费用,有利于电网的节能调度。     

节能调度中的水火电力最优协调问题

以水电比例高达50%的广西电网为对象,提出了基于现代内点最优化理论的水火电力最优协调模型。把原先由人工完成的电网日调度计划,用模型进行描述和求解。在满足"三公调度"、"节能减排"和水火电力系统运行约束的同时,使指定的购电成本或发电成本目标函数得以优化,达到节能调度的目的。同时,系统对所需的各类调度数据进行统一集成,方便使用,大幅提高了调度计划制度的工作效率。     

独立发电企业水火协调优化运行研究综述

介绍了在电力市场环境中,当独立发电企业同时拥有水电和火电的情况下,国内外关于研究合理安排水火电发电计划的理论和方法,从而使发电企业运行总成本最少。同时,详细阐述了各种方法取得的进展和以后的研究方向。     

独立发电企业水火协调优化运行研究综述

介绍了在电力市场环境中,当独立发电企业同时拥有水电和火电的情况下,国内外关于研究合理安排水火电发电计划的理论和方法,从而使发电企业运行总成本最少.同时,详细阐述了各种方法取得的进展和以后的研究方向.     

改革开放形势下的电力系统经济调度

本讨论了在当改革开放势下的电力系统经济调度工作，包括：经济调度目标，经济调度范围，电力交易，在线经济调度，水火电协调 燃料计划，发电费用特性和培训。     

水火电力系统短期发电计划优化方法综述

水火电力系统的短期发电计划问题在电力系统的安全可靠和经济运行中发挥着越来越重要的作用，由于其本身的复杂性，很难从理论上找到全局最优解。深入探讨各种优化算法，并加以分类，详细综述各种优化方法在水火电力系统短期发电计划问题中所取得的研究成果和存在的不足之处。     

基于收益最大化的水火电联合调度模型

以水火电力系统联合调度问题作为研究对象,寻求实现收益最大化的联合调度方案的确定方法。以水电站的水电能转换机理作为研究水电站出力的基础,剖析了水库水流动能、势能、压能及水库能对水电能转换的作用机制,建立水库水能形成模型和发电模型,确定水库各参数对水电站出力的影响关系。综合考虑水火电单位时间出力所获效益的衡量方法建立联合系统收益模型,利用序列二次规划法求解收益模型,并对求解所得的优化结果进行分析,以此论证所建的收益最大化模型的合理性和求解方法的可行性,为解决实际水火电力系统联合调度问题提供了一定的理论支持和可行性方法。     

基于互补机制的水火电力系统短期节能发电调度

为充分提高水火电力系统联合运行的经济性,将减少非可再生能源的使用量及降低火电成本为主要目标的水火电力系统短期发电调度问题,转化为水力发电量最大、耗水量最小和火力发电燃料总耗量最小且具有时序的3个优化子问题。该优化模型不仅可确定水电的最佳放水策略和火电的最佳出力,还可描述水电和火电的互补作用,充分体现节能和效益的理念。针对水电系统具有强非线性的特点,采用改电磁学算法进行求解,对火电子系统则采用内点法进行求解。算例结果验证了该方法的有效性。     

Cost/environmentally compromised dispatch for cascaded hydrothermal system using artificial bee colony algorithm

This paper evaluates the robustness of the artificial bee colony (ABC) algorithm while allocating optimal power generation in a hydrothermal power system at the level of minimum fuel cost and minimum pollutant emission impacts on the environment subjected to physical and technical constraints. The hydrothermal scheduling (HTS) is devised in a bi‐objective framework so as to optimize both objectives of fuel cost and emission release, individually and simultaneously subjected to a verity of intricate equality and inequality constraints. Initially, all feasible solutions are obtained through random search, and then the ABC algorithm is used for the exploration and exploitation processes together in the search space, thereby discovering the optimal hourly schedule of power generation in the hydrothermal system. Meanwhile, a dependent hydro‐discharge computation handles the equality constraints; especially, the reservoir end volume and slack thermal generating unit for each sub‐interval handle the power balance equality constraint. The performance of the proposed approach is illustrated on a multi‐chain interconnected hydrothermal power system with due consideration of the water transport delay between connected reservoirs and transmission loss of system load. The results obtained from the proposed technique are compared with those of other techniques. The results demonstrate that the ABC algorithm is feasible and efficient for solving the HTS problem. © 2015 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.     

水火电力系统短期节能与经济发电优化调度

选取节能和经济两个决策目标,建立水火电力系统发电多目标优化调度模型,寻求满足决策目标的最优调度方案。根据水力发电和火力发电的能耗特性,引入同等装机容量技术条件下水煤转换系数的概念,建立了水火电力系统联合发电能耗模型以及火电综合成本模型,并选取水火电力系统发电等效总煤耗最小作为节能调度的目标,选取火电厂发电综合成本最小作为经济调度的目标,对含有梯级水电站群和多个火电厂的大区域性电力系统进行多目标优化调度。以一个具有8个梯级水电站和8个火电厂的水火电力系统为例进行仿真,其结果证明所建的节能与经济发电优化调度模型能够在增加发电量的同时,提高水资源利用率,节约煤炭资源,降低火电成本,创造良好的发电效益和经济效益。     

水火电力系统多目标优化调度

水火电力系统多目标优化调度模型的确定在整个电网经济、安全运行中起着非常重要的作用。本文首先分析了大型水库的3种水能形式,建立了水电站发电模型,并在此基础上提出了耗水微增率的计算模型。在考虑发电成本时,引进了煤炭价格因素,并建立了新的发电成本函数模型。最后以水电站总发电用水最少和火电站总发电成本最低为两个目标函数建立调度模型,并对该模型进行了优化计算。仿真计算结果表明了本文提出的调度准则具有可行性和适用性,能给系统调度员作出最佳决策提供一定的依据。     

Energy delivery capacity and generation scheduling in thederegulated electric power market

The generation schedules obtained in traditional hydrothermal scheduling or unit commitment programs are in hourly generation levels. In the new deregulated power market, the power transactions are processed in terms of hourly energy delivery. Failing to fulfil scheduled energy delivery may result in a penalty to the power producers. This paper shows that although ramp-rate constraints are satisfied in hydrothermal scheduling, taking a generation level schedule as an energy delivery schedule may not be realizable. Based on the maximum principle in optimal control theory, the energy delivery capacity across the scheduling horizon is established as a set of recursive equations with given ramp-rate constraints. A sufficient and necessary condition is obtained to check if an energy delivery schedule is realizable. Based on this condition, two cases, where ramp-rate constraints are both satisfied, are analyzed and an unrealizable energy delivery schedule is observed     

分时电价下综合利用水库水电站的运营方式研究

本文首先提出了考虑丰枯分时电价的综合利用水库水电站长期优化运行模型，并应用遗传算法求解出可利用电量，在此基础上，考虑峰谷电价差，以满足供水要求基荷运行，所余电量尽可能用于调峰。通过四川省紫坪铺水库的运用研究表明，它能较好地协调发电与供水矛盾。     

Active power based distance protectionscheme in the presence of seriescompensators

This paper presents opposition-based differential evolution to determine the optimal hourly schedule of power generation in a hydrothermal system. Differential evolution (DE) is a population-based stochastic parallel search evolutionary algorithm. Opposition-based differential evolution has been used here to improve the effectiveness and quality of the solution. The proposed opposition-based differential evolution (ODE) employs opposition-based learning (OBL) for population initialization and also for generation jumping. The effectiveness of the proposed method has been verified on two test problems, two fixed head hydrothermal test systems and three hydrothermal multi-reservoir cascaded hydroelectric test systems having prohibited operating zones and thermal units with valve point loading. The results of the proposed approach are compared with those obtained by other evolutionary methods. It is found that the proposed opposition-based differential evolution based approach is able to provide better solution.     

Opposition-based differential evolution for hydrothermal power system

This paper presents opposition-based differential evolution to determine the optimal hourly schedule of power generation in a hydrothermal system. Differential evolution (DE) is a population-based stochastic parallel search evolutionary algorithm. Opposition-based differential evolution has been used here to improve the effectiveness and quality of the solution. The proposed opposition-based differential evolution (ODE) employs opposition-based learning (OBL) for population initialization and also for generation jumping. The effectiveness of the proposed method has been verified on two test problems, two fixed head hydrothermal test systems and three hydrothermal multi-reservoir cascaded hydroelectric test systems having prohibited operating zones and thermal units with valve point loading. The results of the proposed approach are compared with those obtained by other evolutionary methods. It is found that the proposed opposition-based differential evolution based approach is able to provide better solution     

计及风电出力波动的发电计划模型及应用

随着风电大规模并网,常规发电机组出力计划的指导性有所降低,次日开机方式的安排显得更加重要。为此,在常规机组发电计划模型及对系统负荷平衡约束和系统正负备用容量约束的物理含义进行分析的基础上,提出一种考虑风电功率波动特性的发电计划模型,并利用IEEE RTS 96系统对该模型进行测试。测试结果表明,该模型易于与现有模型结合,能有效处理风电功率接入后的发电计划编制问题,且其确定出的一组满足风电功率波动的常规机组开机方式,扩展了发电计划的适用范围,增强了发电计划模型的工程实用性。