Nijhuis M.,TU Eindhoven |
Gibescu M.,TU Eindhoven |
Cobben S.,TU Eindhoven |
IET Generation, Transmission and Distribution | Year: 2017
Current low-voltage (LV) network planning methods consist mostly of a static deterministic assessment of radial network alternatives. This straightforward approach does not take into account the uncertainty which comes with the introduction of photovoltaic generation, electric vehicles and other new technologies into the LV network. Moreover, these technologies may call for a change in network topology, from radially oriented networks to more meshed variants. The focus on cost-efficiency requires the implementation of risk-based asset management into the LV planning approach. The complete implementation of these two aspects into LV network planning methods would result in a too complex network planning formulation. By using heuristic optimisation methods to reduce the number of network alternatives and scenarios which need to be assessed in combination with simplifications on the risk-based assessment of power quality, losses and service availability, a computationally feasible LV network planning approach is developed in this work. A Greenfield case study based on an existing Dutch neighbourhood shows how this approach can be applied in practice to yield the optimal network structure. Though the initial investments and availability of a meshed network are worse, the meshed network structure generates a 10% lower overall cost, due to reduced losses and improved power quality. © 2016 The Institution of Engineering and Technology.
News Article | April 20, 2017
A recent survey carried out among European utilities by Phoenix Forums, indicates that the big data analytics functions is now firmly established in smart utility organisations. With Board support in place, dedicated analytics team members being hired in at a rapid rate, and a wide range of grid related use-cases ready to be leveraged, smart utility analytics leaders are ready to increase their investment in platforms, software, services and cyber-security to drive the expansion of their analytics organisations. “The volumes of structured and unstructured data now flooding smart utility networks is placing significant pressure on analytics teams” says Mandana White, Programme Director of Grid Analytics Europe 2017, organised by Phoenix Forums. “Whilst most smart utilities have established an analytics infrastructure, they recognise that their current organisational structure, platform architecture, and data management processes are far from perfect in supporting the rapid use-case expansion they need to better serve their wider organisations. And it is with this in mind that we shaped the agenda for this year’s Grid Analytics Europe 2017.” This year’s programme focuses on ‘growing pains’ and provides utilities with a toolkit for building board confidence and securing greater levels of investment to fuel expansion. With equal emphasis on how to establish the right organisational structure and team mix, implement the right technology platform, architecture and supporting services, and expanding the range of use-cases, this year’s case-study driven programme provides the ideal benchmarking, technology scouting and power networking platform for smart utility analytics leaders. Robin Hagemans, Manager Data & Insights at Alliander, who will open the conference remarked: “At Alliander we have been developing our data analytics function for several years and now have in place a team of 40 analytics experts including data preparation, engineering, science and visualisation specialists. We have already established use-cases that support the energy transition through the control centre, asset management and maintenance functions. However, as we investigate the potential of new technologies such as open source platforms, cloud solutions, and real-time analytics, we are seeing opportunities for even more innovative new use-cases that would significantly enhance our business processes. At Grid Analytics Europe 2017, I look forward to sharing the results of our use-case implementations so far, the outcome of our new technology investigations, and explain how we are driving board investment for more rapid expansion of our data analytics function to support widespread digitisation of our smart utility.” Andy Gay, Utilities Segment Lead at GE, sponsors of Grid Analytics Europe 2017, explains: “Evolving technologies such as microgrids, Electric Vehicles, and smart devices are increasingly challenging Transmission and Distribution Grid operators. Streamlining decision making and proactive grid planning requires the ability to ingest, model, and cleanse multiple large data sources. GE is leveraging the Predix digital industrial platform to marshal data from across the grid, including meter, asset, operational, historical, and real-time sources as never before. Our presentation at Grid Analytics Europe 2017 will show how GE is working with utilities to develop Analytics use cases that will create the next generation of grid management and efficiency.” Topics that will be discussed include: For more information, interviews and media accreditation: Phoenix Forums is an independent conference producer specialised in the smart grid sector. We work hand in hand with engineering professionals to create innovative event concepts and high quality programmes that inform technical decision makers and enable them to deliver exceptional results. Our approach is entirely market led. We stay exceptionally close to industry developments. Through our regular, rigorous and unbiased process of depth interviews with TSOs, DSOs, power generators, engineering consultancies, and technology innovators, we stay one step ahead of industry developments and provide live event platforms that act as a catalyst for new ideas, new directions, and new approaches to achieving future energy security.
Agency: European Commission | Branch: FP7 | Program: CP-SoU | Phase: ENERGY.2013.8.8.1 | Award Amount: 42.87M | Year: 2014
City-zen deals with the development of the city of the future. The project has three major goals, 1- to realize more effective collaboration models and a methodology for development of smart cities, 2- to connect with industry, and have them develop technology to the benefit of smart cities and 3- to showcase to society ambitious pilot projects. Main idea for this project is that after successful implementations in topics such as district heating, energy grids, local energy generation, energy efficiency for housing, now it is time for the next big step: integrated flexible open infrastructures. The approach taken is the set-up of stakeholder teams in the demonstrator cities, to accelerate the realization of energy-efficient city development. This effort is supported by technology teams including industrial parties. Workshops aiming at decreasing the gap between innovation and implementation will be organized and knowledge-disclosing material will be developed by specialized working groups in retrofitting, smart grids, and heating and cooling. This approach holds for both technology and process improvement. The demonstrators in Amsterdam and Grenoble include retrofitting 105000 m2 of housing to levels down to 53 kWh/m2, showing average savings of the order of 80%. Furthermore they include fully-functional smart grid development, electricity storage demonstrators, free cooling schemes and district heating efficiency improvements. The City-zen project recognizes the key position of citizens, so ample attention is paid to dissemination and education of this group. Serious gaming is included as part of the work, as well as a roadshow bringing the results of the project right at the doorsteps of decision makers in other cities. Extensive monitoring of all buildings and installations is included. All demonstrators together have an estimated impact of 59000 tonne/year CO2 reduction. Amsterdam and Grenoble CO2 reduction goals for 2050 are 80% reduction.
Louie H.,Seattle University |
Dauenhauer P.,University of Strathclyde |
Wilson M.,Torchbearer Foundation for Missions Reconciliation and Development |
Zomers A.,Alliander |
Mutale J.,University of Manchester
IEEE Power and Energy Magazine | Year: 2014
Sustainability has been famous?ly defined as ?the ability to meet the needs of the present without compromising the ability of future generations to meet their own needs.? While elegant in its conceptual simplicity, this definition is often not the most useful one to practitioners, especially those working in the area of energy deployment in developing communities. The sustainability of small-scale, off-grid energy systems?systems that appear to fit this definition neatly?cannot, in fact, be taken for granted. And sustainability is key: it can mean the difference between prolonged poverty and transformational prosperity for the 1.2 billion people around the world who lack electricity, some 85% of them in rural areas. © 2014 IEEE.
Van Westering W.,Alliander |
Hellendoorn H.,Technical University of Delft
ICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control | Year: 2015
A novel method is proposed to interpret sensor data by applying a gas distribution network model based on the steady-state Weymouth equation. The proposed data interpretation method merges data gathered from sensors and models by comparing variances, so that more information is extracted than by applying the methods available in literature. The data interpretation method is subsequently used to define an objective function for finding the optimal sensor locations to minimize the uncertainty of the flows in a gas network. This method is then applied on the real high-pressure network of the island of Texel, for which gas consumption data is created using a Monte Carlo approach. The resulting optimization problem is solved by using a genetic and a greedy algorithm. The greedy algorithm performs best and yields a realistic set of sensor locations. © 2015 IEEE.
Arends M.,Alliander |
Hendriks P.H.J.,Radboud University Nijmegen
Utilities Policy | Year: 2014
The introduction of intelligent technology to turn electricity networks into smart grids is an important vehicle to meet the many challenges modern society poses. However, technology alone will not make energy supply more intelligent and may for the medium and long range even involve risks of intelligence reduction in the larger energy system. Crucially important, yet mostly overlooked is the intelligence of the service company that runs the grids. Based on concepts of knowledge management and learning organizations, the paper develops guiding principles for designing intelligent knowledge infrastructures within companies adopting smart grid technologies. The case study of intelligent SASensor technology, which is currently being introduced by the Dutch power network administrator Alliander, provides an illustration of the argument. © 2013 Elsevier Ltd.
IEEE Power and Energy Magazine | Year: 2014
The World Bank, identifies, as the main world challenge in the energy sector, the need to make more energy available at affordable prices to enable all people to use modern energy to meet their basic needs, given that about 1.2 billion people do not have access to electricity today. Many challenges present themselves, particularly those regarding electricity supply to rural and remote areas in the developing world that still lack it. There is a rather large difference between the challenges facing electrification in countries with a mature electric infrastructure and in developing economies. In most countries with a mature electric infrastructure, access to electricity is taken for granted, though utilities are grappling with the challenge of connecting a variety of distributed generators to existing distribution grids while maintaining the security of supply. Generally speaking, the consumer base is well educated, services are relatively affordable, and the relationship of the utilities with their customers is usually well developed. © 2003-2012 IEEE.
Nijhuis M.,Alliander |
Rawn B.,Technical University of Delft |
Gibescu M.,Technical University of Delft
IET Renewable Power Generation | Year: 2014
During partly cloudy conditions, the power delivered by a photovoltaic array can easily fluctuate by three quarters of its rated power in 10 s. Fluctuations from photovoltaics of this size and on this time scale may necessitate adding an additional component to power system secondary and primary reserves to regulate frequency. This study quantifies the benefit of dynamically sizing a reserve component to cover photovoltaic fluctuations so that the additional reserves are different for each hour. The concept of categorising an hour as belonging to one of three possible fluctuation classes is presented. Based on historical array data and weather forecast information, several methods of forecasting these classes are evaluated, including persistence, Markov chains and a neural network. A practical tool based on class forecasting is proposed to aid in estimating a photovoltaic reserve requirement ahead of time for horizons ranging from 1 to 24 h. Results indicate that of a 10% possible reduction in total reserves held, most of this benefit (8%) can be obtained for hour-ahead scheduling with persistence forecasting and that a similar benefit may be possible for four-hour ahead scheduling if neural networks based on weather forecast information are introduced. © The Institution of Engineering and Technology 2014.
Kadurek P.,TU Eindhoven |
Cobben J.F.G.,TU Eindhoven |
Cobben J.F.G.,Alliander |
Kling W.L.,TU Eindhoven |
Ribeiro P.F.,TU Eindhoven
IEEE Transactions on Smart Grid | Year: 2014
AC power systems have to continuously balance generation and consumption in order to maintain a stable system frequency. The mismatches between the electricity generated and consumed have to be compensated by means of ancillary services, usually provided by conventional power plants. However, the recent developments in power distribution and automation will allow some of those services to be provided by distribution networks. Therefore, in this paper voltage control, at distribution substations, is used in connection with demand response (DR) for aiding system support in the Netherlands. The available capacity, which could be accessible by applying active voltage control, is evaluated and quantified as a function of supplied load over time. The DR capacity is estimated and the implications on power system imbalances are demonstrated in a case study for the Netherlands. In addition, the impact on the network losses is addressed and evaluated. © 2010-2012 IEEE.
van den Berg D.,Alliander |
van der Heijden M.C.,University of Twente |
Schuur P.C.,University of Twente
International Journal of Production Economics | Year: 2015
We study a multi-item, two-echelon, continuous-review inventory problem at a Dutch utility company. We develop a model for the optimal allocation of service parts in a two-echelon network under an aggregate waiting time constraint. Specific model aspects are emergency shipments in case of stockout, and batching for regular replenishment orders at the central warehouse. We use column generation to solve this problem with various building blocks for single-item models as columns. Further, we derive simple classification rules from the solution of our multi-item, two-echelon service part optimization problem using statistical techniques. Application of our models at Liander yields a cost reduction of 15% and a decrease in the impact of waiting time for service parts by 52%. © 2015 Elsevier B.V.