梯级水电站群优化补偿调节模型及计算方法

本文根据补偿调节的物理含义,建立了梯级水电站群优化补偿调节模型。并应用大系统分解协调方法,将其分解成一系列静态子问题,然后用简约梯度法求解,克服了“维数灾”问题。     

水库群优化补偿调节模型及计算方法

本文提出了水库群优化补偿调节模型及IPOA算法。采用分级目标寻优法解决了水库群优化补偿调节计算中的两个主要目标——保证出力和发电量的优化问题,为大中型水库系统的开发设计和运行管理提供了有效的计算手段。     

基于量子混合蛙跳算法的含分布式 电源配电网无功优化

将分布式电源（DG）的无功调节能力与传统的电压调节手段相结合,研究了含DG的配电网无功优化问题。建立以降低系统网损、抑制电压波动为综合目标的配电网模糊无功优化模型。通过蒙特卡罗仿真对配电网系统进行无功补偿选址,采用量子混合蛙跳算法求解含DG的配电网无功优化问题。最后,通过IEEE 33节点系统进行仿真计算,表明在配电网接入DG的基础上进行无功优化能较大程度地改善系统电压水平和降低系统网损,并且证明了所提算法的快速性和有效性     

基于相似搜索与多开端重组的配电网两时间尺度无功协调控制

规模化的分布式电源接入配电网后造成了电压高间歇性波动,影响了无功补偿设备的调节效果。提出基于相似搜索与多开端重组的多目标无功优化算法,考虑了非平滑补偿设备的日投切次数限制,加入变化的次数成本约束,调节尺度为1 h;DG和SVG的实时平滑调节设备,调节尺度为5 min,进行超短期预测反馈调节,优化目标为电压偏差、网损和调控成本综合最优。求解算法采用改进的多目标粒子群算法,运用相似搜索技术,调用适用性最高的历史无功方案作为方案粒子加快算法的初期收敛速度;引用Pareto熵协调多目标间的适应度,同时依托Pareto解集存优能力,在算法收敛后期设计了多开端重组方法,进一步提高优化效果。经实际算例验证了该方法的有效性。     

一种库群优化补偿调节模型及其基于大系统分解协调的算法

本文在总结众多水库群优化补偿调节模型的基础上,提出了一种系统描述跨流域梯级水库群优化补偿调节的数学模型,并导出了一种基于大系统分解协调的算法.该算法将复杂的多阶段多维决策问题按时段分解为若干相对独立的简单的子系统优化问题,并通过较高一级上的协调,逐次迭代达到整体优化.这种算法将避免水库群优化补偿调节计算中的“维数灾”问题.     

黄河干流梯级电站补偿效益初步研究

根据黄河干流的实际和研究的需要,将全干流分为上、下两个子系统,并以发电量最大为目标建立模型,采用逐步优化算法(POA)进行计算求解。对比分析"有"无"上游龙刘水库调节时给下游带来的供水及发电补偿效益,并提出了其初步分配方案,为决策部门提供了有效的数据参考依据。     

用增量动态规划法改进混联库群优化调度模型——兼论用生成径流检验库群优化调度成果

本文提出混联水库群补偿调节和调度的多目标多层次优化法模型。文中着重介绍:1)用增量动态规划法进行第二层次优化,2)将模型用于八库十六维状态系统的优化补偿调节和调度取得了满意结果,经济效益显著;3)用模拟径流资料检验按实测径流资料所得的优化效益,并分析了径流时间空间相关关系。     

基于遗传算法的无功功率优化与控制专家系统开发

针对电力系统中无功功率优化问题建立了数学模型,利用函数连接网络将多目标问题转化为单目标无功优化问题,采用免疫遗传算法进行求解。 提出了分区分层的多变电所电压无功协调控制专家系统的设计思想。该系统具有较高优化精度的同时求解过程较为简单。     

洪水调节模型及求解方法

提出了洪水控制方案生成的多准则模型,并将多目标综合利用水库的洪水优化调度问题简化为单目标优化问题,便于求解。     

基于改进粒子群算法的风电场虚拟惯量优化分配方法

大规模风电并网导致电网惯量不断削弱、系统频率特性恶化,虚拟惯量控制使风电具有与同步发电机相似的虚拟惯量,为电网提供惯量支撑,但需要根据频率安全约束,研究多个风电场对系统惯量支撑目标的协调分配。提出基于改进粒子群算法的风电场虚拟惯量优化分配方法。首先根据电网频率安全约束指标求解维持频率动态稳定的电网临界惯量,并结合电网实际惯量得到电网惯量补偿目标。然后将系统最大频率偏差最小作为优化目标,风电场虚拟惯量补偿目标作为优化对象,建立优化分配模型;采用改进粒子群算法求解该模型,得到虚拟惯量最优分配方案。最后在IEEE-39节算例系统中验证了所提方法的正确性和有效性。     

水电站群补偿调节模型（HCOM）及其求解

提出的水电站群火电必需容量最小补偿调节模型（ＨＣＯＭ）和算法，将水能水利计算、电力电量平衡计算有机地结合在一起，采用逐级逐次逼近的方式实现时间和空间上的整体优化，得到最优解。该方法适用于各类水电站群的补偿调节计算。     

中国煤矿采空区塌陷灾害治理对策

我国是一个以煤炭为基础能源的发展中国家,采空地质灾害十分严重,煤矿采空塌陷问题与 “三农”、 “四矿”和矿产资源型城市经济转型等“热点”问题胶结在一起,已经成为阻滞老矿区可持续发展的关键因素。要达到“标”、“本”兼治的目的,应采取“偿还历史欠账、构建长效机制、调整行业收益”的方针,构建采空地质灾害防治的新模式。     

Feedback Control Problem for Modified Kelvin-Voigt Model

This paper deals with the optimal feedback control problem for the modified Kelvin-Voigt model. The considered model describes the motion of weakly concentrated aqueous polymer solutions. In our case, the control function (the external force) depends on the velocity of the fluid. In such a way, the control is not selected from a finite set of available controls, but belongs to the image of some multi-valued map. The solution for the control problem of fluid motion is a pair: the velocity of the fluid and the control (the density of external forces). Since there can be many such pairs, the concept of optimal solution naturally arises, which gives a minimum to specified cost functional. For the considered optimal feedback control problem the existence theorem on weak solution is proved.

     

用模拟退火算法改进管壳式换热器的优化设计

介绍了一种由两级管壳式换热器组成的换热器系统的优化设计数学模型，数学模型属于典型的有约束非线性规划问题。目前对有约束非线性规划问题还没有通用的求全局最优解的算法。转轴直径搜索可行方向法(DSFD方法)是一种比较有效的求解有约束非线性规划问题的算法。但它只能得到局部最优解。将模拟退火(Simulated Annealing)算法结合DSFD算法，构成了一种DSFD—SA—DSFD算法。在应用模拟退火算法的同时引入了罚函数法．将有约束非线性问题转化为无约束非线性问题。计算结果表明，DSFD—SA—DSFD算法能较快得到换热器优化问题的最优解，克服了单纯用DSFD算法只能得到局部最优解和单纯用SA算法效率不高的缺点。图3表11参8     

Optimal control of flow in low temperature solar heat collector

Solar energy collection plants with uniform flat plate collectors are classified according to the mode of operation and the type of performance criterion. The problem of optimal control of flow through the collector is formulated under simplifying assumptions and conditions for the existence of an optimal control of the system are stated for certain elements of the above classification. A numerical process for the optimal solution is described and an example of solution given. A simple control policy is given, applicable to those elements of the above classification where a continuous solution of the problem does not exist. This policy consists of alternate switching between zero and maximum available flow. A direction for further research into some aspects of the optimal control problem is suggested.     

应用遗传算法优化设计管壳式换热器

两级管壳式换热器优化设计是一个有约束非线性规划问题,目前还没有方法能够保证寻找到该问题的全局最优解.传统的转动坐标轴直接搜索可行方向法(DSFD方法)可以获得该问题的局部最优解,但该最优解对初始点的依赖性很大,需要多次尝试寻找"全局"最优解.应用遗传算法对两级管壳式换热器进行优化设计,优化结果与DSFD方法优化结果对比表明,遗传算法更易于寻找"全局"最优解,提高优化过程的效率.     

Optimal controllers of the second kind

An approximate analytical solution to the problem of determining the optimal flow rate through solar collectors so as to maximize the integral of the difference between the useful energy and the pumping costs incurred in collecting the solar energy has been obtained. The solution that is presented is an optimal feedback controller that is based upon measurable states of the system. The solution technique that was employed was that of the Pontryagin maximum principle and an approximate analytical solution to the resulting two-point boundary value problem was obtained by means of a transformation that involved using the heat removal factor as the control. The optimal control (the mass flow rate) is then recoverable from the heat removal factor.

The derivation of the optimal control law is presented. Also presented is a discussion of implementation of the optimal control law. Finally, comparisons between these results and those presented in an earlier paper in which a numerical solution was obtained are presented.     

并联水电站两库联合优化调度

提出了在状态变量选择的同时考虑时间相关和空间相关，用年内逆推动态规划法和年间逐次逼近法，结合时段内廓道法寻优的思想求我妥，结果表明，优化比常规调度年发电量提高４％以上。     

Optimal planning of gas turbine co-generation plants based on mixed-integer linear programming

An optimal planning problem of a co-generation plant is studied which is constructed by combining gas turbine generators, waste heat boilers, auxiliary boilers, etc. The planning problem proposed is to determine the optimal configuration of the plant equipment taking into account the optimal operational policy of the plant for the annual energy demands of electric power and heat given a priori. Based on the annual cost method, the long-term economics of the plant is evaluated by the annual total cost, which is the objective function to be minimized. This optimal planning problem is formulated as a mixed-integer linear programming problem, and the optimal solution is derived by adopting the branch and bound method. As a result, both the configuration of the plant equipment and the operational policy are optimally determined reflecting the difference in economics and efficiency of the scale of each equipment. In addition, both the power to be purchased and the value of maximum contract demand of the purchased power is optimally determined. Using a numerical example, the validity and effectiveness of the optimal planning method proposed here is ascertained.