基于低碳效益的微电网能量优化调度

根据微电网中各分布式电源(DG)的特点,综合考虑各DG的安装、运行、维护成本、碳排放治理成本以及风电、光伏补贴等,分别构建各微源的低碳综合成本模型,在满足系统约束的条件下,提出一种计及微电网低碳效益的能量优化调度模型。深入挖掘微电网的低碳效益,确定微电网优化调度运行策略,依据构建的调度模型,应用混沌粒子群算法(CPSO)解决各个实用的运行策略中的优化调度问题。通过仿真验证了模型和算法的有效性,并对各运行策略及大电网供电对比分析,证实微电网的低碳效益明显。     

曲靖市花山水库洪水预报调度管理系统简介

介绍了曲靖市花山水库洪水预报调度管理系统的主要功能、系统的关键技术,并小结了其实际运行实践。     

应急物资调运的动态协同决策优化建模仿真

为有效解决应急物资调运决策问题,提高应急物资利用率。总结应急物资调运基本流程、管理方法及存在问题,分析应急物资调运系统动静态资源、灾害分布及优先级等因素,借鉴动态调配 Multi Agent方法研究应急救援保障部门间协同作用,对应急物资调运系统供需路径与救援时效进行分析,构建应急物资调运系统高效、及时、低成本的动态调度模型,同时基于多源时间最短路径问题以及Floyd Warshall算法对模型进行求解仿真,得出应急物资最优调运路径和参与调配储存点组合。结果表明:动态调运决策模型可从备选集合中快速搜索应急调运所需最佳方案,能为应急救援提供更加可靠的保障。     

Optimisation algorithms for spatially constrained forest planning

We compared genetic algorithms, simulated annealing and hill climbing algorithms on spatially constrained, integrated forest planning problems. There has been growing interest in algorithms that mimic natural processes, such as genetic algorithms and simulated annealing. These algorithms use random moves to generate new solutions, and employ a probabilistic acceptance/rejection criterion that allows inferior moves within the search space. Algorithms for a genetic algorithm, simulated annealing, and random hill climbing are formulated and tested on a same-sample forest-planning problem where the adjacency rule is strictly enforced. Each method was randomly started 20 times and allowed to run for 10,000 iterations. All three algorithms identified good solutions (within 3% of the highest found), however, simulated annealing consistently produced superior solutions. Simulated annealing and random hill climbing were approximately 10 times faster than the genetic algorithm because only one solution needs to be modified at each iteration. Performance of simulated annealing was essentially independent of the starting point, giving it an important advantage over random hill climbing. The genetic algorithm was not well suited to the strict adjacency problem because considerable computation time was necessary to repair the damage caused during crossover.     

基于机会约束规划的航班应急调度问题研究

为应对民航突发情况,保障民航运行安全,提出应急调度这一概念。阐述常规情况下航班调度基本模型,分析其在应急情况下的弊端。引入机会约束,构建应对突发状况的应急调度模型。研究兼顾航空公司成本、航班运行安全及旅客随机需求的机型分配问题(FAP)模型和机组排班问题(CSP)模型。比较混合智能算法、隐枚举法、等价转化法的优缺点及适用度。根据案例数据,使用Matlab软件编程,并采用随机模拟与粒子群(PSO)算法相结合的智能算法对模型求解。结果表明,机会约束规划模型在考虑随机因素的情况下,比基本模型更符合实际动态环境。     

MANAGING ROTATIONAL CANAL WATER SUPPLIES ON THE FARM1

ABSTRACT: A procedure to determine optimal irrigation scheduling strategies under rotational water delivery systems is presented. The methodology involves integration of water delivery amount and frequency, irrigation management strategies, evapotranspiration sequences and crop-evapotranspiration-production functions to arrive at an optimal irrigation strategy. Application of the methodology to a farm in the service area of Western Yamuna Canal (India) where a two-stage system of rotation, one among the irrigation channels and the other among the farmers, is in vogue, reveals that maximum production is obtained with water application in a rotational manner (RI) rather than with irrigation in every or alternate supply periods. Increase in mean water supply which can be effected through improvement in on-farm conveyance and application systems, has a greater effect on yield than decrease in variance of the supply. Benefit cost analyses indicates that precision land leveling is more cost effective in increasing water supply as compared to water-course lining.     

基于项目双分解结构的区域应急动态网络计划研究

为解决区域性突发事件应急管理计划的一致性及时效性问题,提出基于区域应急任务分解结构和区域应急组织分解结构的分级动态网络计划方法。构建了应急任务分级网络模型及组织分层网络结构及资源列表模型。诠释任务分解规则及应急组织结构特征,最后整合双分解网络结构,推导出区域性应急管理分级动态网络计划生成模型。为区域性应急预案体系的编制提供了技术方法指导,对提高应急计划的实际可操作性具有现实意义。     

基于多枢纽城际应急管理网络资源调度鲁棒优化

为了降低由于应急突发事件随机性带来的应急资源需求不确定性,在对基于Multi-HUB(多枢纽)城际应急管理网络机制研究的基础上,分析基于Multi-HUB城际应急管理网络信息传递和资源调度方式,建立以时间最小为目标的资源优化调度模型并鲁棒性地选择一级HUB点,通过Matlab7.0对优化调度模型及一级HUB点鲁棒性选择进行了数值仿真。研究表明:对Multi-HUB城际应急管理网络中的一级HUB点进行鲁棒性选择,能很好地对"都市圈"内应急资源进行优化调度,降低需求不确定性所带来的"都市圈"内资源无法有效整合的风险,从而有效地提高城市应急资源利用效率。     

河道型水库过饱和总溶解气体释放模型及应用研究

随着一系列梯级水电站的建成运行,因上游电站泄水引起下游河道型水库水体中总溶解气体(TDG)过饱和,导致库区鱼类患气泡病甚至死亡的风险增加。针对河道型水库过饱和TDG释放预测问题,建立河道型水库的纵向一维过饱和TDG释放预测模型,研究不同洪水条件下河道型水库在变水位运行条件下的水动力学和过饱和TDG释放特性,分析了过饱和TDG沿程释放和代表性断面的TDG过程,探讨了横断面滩地区域的水深变化和鱼类补偿水深的满足性。结果表明降低来流的TDG水平是减小其不利影响的重要手段,在来流TDG饱和度一定时,河道型水库适当以高水位运行能够为滩地区域鱼类提供足够的躲避水深。本文结果对梯级电站优化调度以减缓TDG影响的研究和方案实施提供了技术支撑,在梯级水电开发河流的水生态保护方面具有重要意义。     

城市供水系统优化调度现状与展望研究

总结论述了优化调度的内涵以及优化调度三部分内容的国内外研究的现状。针对国内外优化调度软件及工程应用现状问题进行了总结和论述,提出了城市供水管网优化调度系统的研究发展前景及重心。通过优化调度系统的实际应用及效益产值论证优化调度的研究意义及价值所在。优化调度是改善传统管网系统运行模式不足的有效手段和必要途径。实现供水管网优化调度可有效保障管网运行的安全性和可靠性,降低管网运行维护成本,提高社会效益和经济效益。