微机式备用电源自动投切装置

论述了微机式备用电源自动投切装置工作原理。该装置适用于各类变电所高压交流电源的投入，根据主供电源失电，跳开主供电源，将备用电源自动投入。实验和现场实际运行证明了该装置工作可靠、操作简单、性能先进     

一种预测油气田产量及可采储量的新模型

基于概率统计学中的Γ（ｘ２）分布，提出了一种新的预测模型。该模型可用于预测油气田的产量、可采储量、最高年产量及其发生的时间。实际应用结果表明，该模型比较实用，预测的各项指标是比较可靠的。     

基于B/S模式的医院网上挂号预约系统的设计与实现

本文介绍了一种基于B／S模式的医院网上挂号预约系统设计思想。该系统利用了ASP和ADO技术访问数据库。该系统实现了以下功能：医院动态门诊时间表网上查询；求医者远程挂号预约、取消挂号以及挂号预约记录的全面查询；医院内部调整门诊时间表、内部人员权限管理、挂号处取号等的门诊管理。     

城市土地收购价格内涵界定与评估思路探讨

分析了土地收购价格内涵界定的原则，城市土地收购双方对被收购土地拥有的权利和利益，城市土地收购储备制度对储备土地的要求，提出了城市土地收购价格评估的基本思路．     

备用电源自动投入装置缩短投入时间的研究

在电力系统中,备用电源自动投入装置的应用,提高了供电可靠性。经研究发现,故障时甩掉的供电负荷与该装置投入的时间成正比。通过改变整定方法,明显地缩短了该装置投入时间,减少了因故障给供电客户带来的损失。该方案在实际中已得到应用,取得了预期的效果。     

基于多场景风险分析的含风电互联电网机组组合策略研究

为保证电力系统可靠运行,日前机组组合应考虑电网中不确定性因素所带来的风险。大规模风电并网给电力系统运行引入了更多的不确定性,电网互联一定程度上可削弱风电不确定性对电网运行的影响,但同时也增大了日前机组组合问题的复杂度。为了在有限的计算时间内获取计及风险的可行的机组组合方案,需要筛选典型场景来衡量电网运行风险。在风电、负荷预测误差的基础上设置了互联电网机组、联络线强迫停运场景集,构建了互联电网弃风电量期望（expected wind power curtailed,EWPC）和电量不足期望（expected energy not supplied,EENS）风险量化指标,并将其以罚函数的形式引入目标函数,建立了计及多场景运行风险的多区域互联电网安全约束机组组合模型,经两区域12节点系统验证了机组组合策略的正确性和有效性。     

直购电背景下利用储能配合旋转备用的风电并网容量优化

为了解决大用户直购电与风电消纳之间的矛盾,文章提出利用大用户以直购电的形式消纳风电。首先,以上下旋转备用来应对风电的不确定性,引入储能系统弥补较高备用需求导致的上下旋转备用空间的不足。其次,在此基础上以大用户直购电背景下风电最优并网容量为目标建立了以发电企业为领导者,风电场为跟随者的主从博弈模型。最后,运用改进粒子群算法在含风电场的IEEE 30节点系统上进行仿真分析,算例验证了所提方法的有效性。     

Exploring place attachment and visions of nature of water-based recreationists: the case of the longitudinal dams

This study concerns an innovative project in the Dutch river Waal: the construction of longitudinal dams. By splitting the river into a main and secondary channel, these dams significantly impact the river landscape and the way it is used by different stakeholders. We report the results of a baseline study of the expectations local water-based recreationists (fishermen and boaters) had of the longitudinal dams before they were constructed. In addition, we explore their levels of place attachment, and use the visions of nature approach to elicit their lay philosophy of nature. We found that fishermen were more strongly attached to the area than boaters. Though expectations of the dams were generally negative, this differed significantly between fishermen and boaters, and between different dimensions of landscape change. We demonstrate the relevance of place attachment and visions of nature for understanding how recreationists perceive landscape change.     

A coordinated strategic reserve to safeguard the European energy transition

In Germany and beyond, various capacity mechanisms are currently being discussed with a view to improving the security of electricity supply. One of these mechanisms is a strategic reserve that retains generation capacity for use in times of critical supply shortage. We argue that strategic reserves have specific advantages compared to other capacity mechanisms in the context of the European energy transition. To date, however, the debate on capacity mechanisms has largely been restricted to national contexts. Against this background, we discuss the feasibility and potential benefits of coordinated cross-border strategic reserves to safeguard electricity supply and aid the energy transition in Germany and neighboring countries at large. Setting aside strategic reserve capacity which is deployed only in the event of extreme supply shortages could improve the security of electricity supply without distorting the EU's internal electricity market. In addition, overall costs may decrease when reserve procurement and activation are coordinated among countries, particularly if combined with flow-based market coupling.     

Co-evolution of three mega-trends nurtures un-captured GDP – Uber’s ride-sharing revolution

Uber used a disruptive business model driven by digital technology to trigger a ride-sharing revolution. The institutional sources of the company’s platform ecosystem architecture were analyzed to explain this revolutionary change.Both an empirical analysis of a co-existing development trajectory with taxis and institutional enablers that helped to create Uber’s platform ecosystem were analyzed.The analysis identified a correspondence with the “two-faced” nature of ICT that nurtures un-captured GDP. This two-faced nature of ICT can be attributed to a virtuous cycle of decline in prices and an increase in the number of trips.We show that this cycle can be attributed to a self-propagating function that plays a vital role in the spinoff from traditional co-evolution to new co-evolution. Furthermore, we use the three mega-trends of ICT advancement, paradigm change and a shift in people’s preferences to explain the secret of Uber’s system success.All these noteworthy elements seem essential to a well-functioning platform ecosystem architecture, not only in transportation but also for other business institutions.