Economically efficient distribution network design

Decarbonisation of electricity sector, potential increase in electricity demand driven by incorporation of segments of heat and transport sectors, and conditional asset replacement drive the desire for cost-effectiveness of the use of existing assets and use of non-network solutions. A Working Group is tasked to review present and, if needed, propose a new security of supply standard. This study reports on the part of work carried within review. It describes drivers and objective for review, used analytical methodology, and relevant drivers. The results of case studies carried out on illustrative high-voltage networks topology show breakeven value of lost load and economically efficient degree of redundancy for different values of drivers. The study concludes with the key findings of the study

H2O Robotics

H2O Robotics is an SME company established 2017. The company is located in Zagreb, Croatia. Corporate R&D focuses on marine technology, autonomous vehicles and applications. The first commercial product was Autonomous Surface Vehicle (ASV) H2Omni-X (Figure 1). Overall, the company’s mission after its establishment was to turn H2Omni-X into a marketready product capable of launching a sustainable business in the ASV industry

Technical product risk assessment: Standards, integration in the erm model and uncertainty modeling

European Union has accomplished, through introducing New Approach to technical harmonization and standardization, a breakthrough in the field of technical products safety and in assessing their conformity, in such a manner that it integrated products safety requirements into the process of products development. This is achieved by quantifying risk levels with the aim of determining the scope of the required safety measures and systems. The theory of probability is used as a tool for modeling uncertainties in the assessment of that risk. In the last forty years are developed new mathematical theories have proven to be better at modeling uncertainty when we have not enough data about uncertainty events which is usually the case in product development. Bayesian networks based on modeling of subjective probability and Evidence networks based on Dempster-Shafer theory of belief functions proved to be an excellent tool for modeling uncertainty when we do not have enough information about all events aspect

Benefits of smart control of hybrid heat pumps: an analysis of field trial data

Smart hybrid heat pumps have the capability to perform smart switching between electricity and gas by employing a fully-optimized control technology with predictive demand-side management to automatically use the most cost-effective heating mode across time. This enables a mechanism for delivering flexible demand-side response in a domestic setting. This paper conducts a comprehensive analysis of the fine-grained data collected during the world’s first sizable field trial of smart hybrid heat pumps to present the benefits of the smart control technology. More specifically, a novel flexibility quantification framework is proposed to estimate the capability of heat pump demand shifting based on preheating. Within the proposed framework, accurate estimation of baseline heat demand during the days with interventions is fundamentally critical for understanding the effectiveness of smart control. Furthermore, diversity of heat pump demand is quantified across different numbers of households as an important input into electricity distribution network planning. Finally, the observed values of the Coefficient of Performance (COP) have been analyzed to demonstrate that the smart control can optimize the heat pump operation while taking into account a variety of parameters including the heat pump output water temperature, therefore delivering higher average COP values by maximizing the operating efficiency of the heat pump. Finally, the results of the whole-system assessment of smart hybrid heat pumps demonstrate that the system value of smart control is between 2.1 and 5.3 £ bn/year

Application of Dempster-Shafer theory in conceptual design of the machining centres

Projektant tijekom razvoja donosi odluke u uvjetima punim neodređenosti, kontradiktornosti i neznanja. Ti uvjeti su više izraženi u ranim fazama procesa projektiranja. Slijedeći to, u ovom članku predstavlja se način uporabe dokaznih sustava koji predstavljaju oblik ekspertnih sustava u kojima se znanje predstavlja i procesira uporabom Teorije funkcije uvjerenja (Dempster-Shafer teorija). Članak je fokusiran na koncepcijsko projektiranje alatnih strojeva tj. određivanje najbolje konstrukcije obradnog centra u fazi koncepcijskog projektiranja za prethodno definiranu skupinu dijelova koja će na njemu biti obrađivana.In the development phase, the designer makes decisions under conditions which are characterized with some degree of uncertainty, contradiction and ignorance. These conditions appear more often in the early phases of the design process. Following this, in this paper is presented the way of using evidential systems which represent a form of expert systems in which knowledge is represented and processed by the function of the Belief Function Theory (Dempster-Shafer theory). The paper is focused on the conceptual design of machine tools, i.e. determination of the best structure of machining centre in the phase of conceptual design for a predefined group of parts that will be machined on them

DER reactive services and distribution network losses

Managing synergies and conflicts between voltage support services and network losses is essential for the cost-effective integration of distributed energy resources (DERs). This study presents the results of studies investigating the impact of using DER reactive power services on distribution network losses. By using year-round optimal power flow analysis, a spectrum of studies on a number of distribution network areas in the southeast of Great Britain was performed to calculate distribution losses under different control scenarios. The studies demonstrate that the use of DERs to provide reactive services to the transmission system may increase distribution network losses. On the other hand, DER reactive services can also be optimised to minimise distribution losses. The studies also analysed the impact of optimising tap changing transformer settings on the distribution network losses reduction

RFID tehnologija u službi fleksibilnog programiranja CNC mašina

In this article new approaches are made in parametric programming CNC machines. RFID technology can give a good basis as a carrier of technological and geometrical information especially if the machine is turned on within the flexible production of parts the container and bigger frequency. Parametric programming of this type can be one of the links that will lead it to adaptable controlling in real time.Publishe

Application of Dempster-Shafer theory in conceptual design of the machining centres

Projektant tijekom razvoja donosi odluke u uvjetima punim neodređenosti, kontradiktornosti i neznanja. Ti uvjeti su više izraženi u ranim fazama procesa projektiranja. Slijedeći to, u ovom članku predstavlja se način uporabe dokaznih sustava koji predstavljaju oblik ekspertnih sustava u kojima se znanje predstavlja i procesira uporabom Teorije funkcije uvjerenja (Dempster-Shafer teorija). Članak je fokusiran na koncepcijsko projektiranje alatnih strojeva tj. određivanje najbolje konstrukcije obradnog centra u fazi koncepcijskog projektiranja za prethodno definiranu skupinu dijelova koja će na njemu biti obrađivana.In the development phase, the designer makes decisions under conditions which are characterized with some degree of uncertainty, contradiction and ignorance. These conditions appear more often in the early phases of the design process. Following this, in this paper is presented the way of using evidential systems which represent a form of expert systems in which knowledge is represented and processed by the function of the Belief Function Theory (Dempster-Shafer theory). The paper is focused on the conceptual design of machine tools, i.e. determination of the best structure of machining centre in the phase of conceptual design for a predefined group of parts that will be machined on them

SON for LTE-WLAN access network selection : design and performance

Mobile network operators (MNOs) are deploying carrier-grade Wireless Local Area Network (WLAN) as an important complementary system to cellular networks. Access network selection (ANS) between cellular and WLAN is an essential component to improve network performance and user quality-of-service (QoS) via controlled loading of these systems. In emerging heterogeneous networks characterized by different cell sizes and diverse WLAN deployments, automatic tuning of the network selection functionality plays a crucial role. In this article, we present two distinct Self-Organizing Network (SON) schemes for tuning the ANS between the Long-Term Evolution (LTE) and WLAN systems. The SON functions differ in terms of availability of inter-system information exchange and internal algorithm design for traffic load control. System level simulations in a site-specific dense urban network show that the proposed schemes improve significantly the user quality of service (QoS), and network capacity over the reference scheme when offloading to WLAN is performed simply based on signal coverage