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Energy flexibility is becoming more significant part of future power systems. Buildings can be a massive source of flexibility to face the challenges associated with the Smart Grid. Specially, a collection of buildings or a neighborhood can offer better flexibility by managing their energy profile. There are a number of standard frameworks developed to provide support for the design of different smart...
Transactive based control mechanism (TCM) needs the IoT environment to fully explore flexibility potential from the end-users to offer to involved actors of the smart energy system. On the other hand, many IoT based energy management systems are already available to a market. This paper presents an ap-proach to connect the current demand-driven (top-down) energy management system (EMS) with a market-driven...
To increase the penetration of distributed renewable energy resources (DRES) in the existing LV network, new control solutions need to be developed. In this paper an algorithm for overvoltage mitigation in LV networks with DRES is proposed. Complex communication infrastructure for monitoring and controlling an extensive part of the LV network is not economically attractive for distribution system...
Market-based control mechanism (MCM) needs the IoT environment to fully explore flexibility potential from the end-users to offer to involved actors of the smart energy system. On the other hand, many IoT based energy management systems are already available to a market. This paper presents an approach to connect the current demand-driven (top-down) energy management system (EMS) with a market-driven...
Electrical distribution networks worldwide are facing frequent capacity challenges due to the widespread roll out of various distributed energy resources (DERs). A number of demand response (DR) mechanisms have been developed in order to circumvent the problems and enhance the flexibility of the distribution network. While the existing centralised control system remains its crucial role for reliable...
During the last few decades, the concept of demand response (DR) in the energy sector has gained substantial momentum. Research has led to a range of DR solutions. These solutions mostly differ in their applications, the hosting power system, the energy market etc. Moreover, as per the EU directive, DR aggregators should be allowed to trade DR alongside supply in both day-ahead and real time electricity...
Changes in recent renewable energy-related grid codes may lead to introduction of thousands of remotely controllable inverters in the LV grid. To maintain their supply quality, the distribution system operator (DSO) would need to coordinate together with active end users to optimally operate and control their inverters. A generic ICT architecture and royalty free application are therefore required...
This report looks into the network challenges that can be observed in simulation of dutch distributuin grid. The analysis has been performed in two different consideration, first considering network as it is currently. Thus, report analyses the relative critical nodes and suggest testing plan for INCREASE Project. Second, four different types of DR programs has been applied to the network. Preliminary...
In this paper, the authors apply a surrogate model-based method for probabilistic power flow (PPF) in the power system subject to truncated random variables. Due to a growing number of uncertainty sources are being brought into the modern power system, the traditional deterministic power flow analysis lacks its ability to recognize the realistic states of power systems, and thus turns to PPF for help...
Increasing penetration of distributed renewable energy resources (DRES) and smart loads into the LV network lead to new power quality challenges. Important power quality challenges are overvoltage and undervoltage. A number of solutions are already developed to mitigate these voltage variations. In this research, On Load Tap Changer (OLTC)-based control technique is used to mitigate overvoltage and...
In distribution networks, the data redundancy is usually assumed to be an inevitable bottleneck of traditional grid control and operation. Recently, the availability of smart meter data in distribution systems has provided an opportunity to improve the observability. As for the medium-voltage (MV) distribution system, there is an increasing interest to use the spatially aggregated smart meter data...
What is known and objectiveOptimal utilization of opioid analgesics is significantly limited by the central nervous system adverse effects and misuse/abuse potential of currently available drugs. It has been postulated that opioid‐associated adverse effects and abuse potential would be greatly reduced if opioids could be excluded from reaching the brain. We review the basic science and clinical evidence...
Rapid proliferation of the Distributed Energy Resources (DERs) is posing major operational challenges like congestions and voltage limit violations in the distribution networks. A number of direct and market-based control strategies are being widely developed to address these challenges. While the direct approaches aim to control the loads directly, the market-based control influences individual prosumers...
We present an enhanced smoothing algorithm in order to minimize the number of nodes in a surface triangulation while at the same time the wafer topography is maintained, and changes of geometry are limited to user-defined tolerances. Refined criteria for the protection of nodes and edges which have not to be removed because of topological reasons have been worked out. An algorithm has been implemented...
In the smart grid and smart city context, the energy end-user plays an active role in the operation of the power system. The rapid penetration of Renewable Energy Sources (RES) and Distributed Energy Resources (DER) requires a higher degree of flexibility on the demand side. As commercial and Industrial buildings (C&I) buildings represent a substantial aggregation of loads, the intertwined operation...
In practical speaker identification applications, the performance of systems is generally degraded because of the presence of background noise. In this paper, an advanced hybrid model VQ/GMM-UBM in speaker identification which is a combination of Vector Quantization (VQ) and Gaussian Mixture Model-Universal Background Model (GMM-UBM) is presented. Even though this algorithm takes advantages of both...
Increasing penetration of distributed renewable energy sources such as PV may lead to voltage rise in the LV distribution networks. When local production exceeds local consumption, this voltage rise may lead to overvoltage, i.e. violation of the EN 50160 standard. A number of solutions have been developed to mitigate the over voltage, thus increasing the hosting capacity of the LV network without...
The ability to directly image ultrafast phenomena with nanometer spatial resolution is essential to our understanding of local excitation dynamics in nanomaterials and devices. We have developed a new approach to ultrafast scanning tunneling microscopy (STM) that couples terahertz (THz) pulses to the scanning tip of a STM. We have used THz-STM under ambient lab conditions to image ultrafast charging...
Penetration of distributed renewable energy sources in low-voltage (LV) networks is increasing steadily. This trend helps the vision of sustainability, but it is hindered by various economic and technical constraints. Some of the existing solutions put some customers in a disadvantageous position, which is often overlooked while developing technical solutions. In this paper, the most common solutions...
The increasing introduction of district heating systems together with hybrid energy appliances as heat pumps and micro-combined heat and power installations, results in new opportunities for optimizing the available resources in multi-commodity smart energy systems, including electricity, heat and gas. By ‘converting’ forms of energy using hybrid energy appliances, and exploiting flexibility from...
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