2021 Invited Speakers
Assoc. Prof. Luis Baringo Morales, Universidad de Castilla-La Mancha, Spain
Speech Title: Robust Transmission Network Expansion Planning Considering Non-Convex Operational Constraints
Abstract: This talk describes a two-stage robust optimization model for the transmission network expansion planning problem. Long-term uncertainties in the peak demand and generation capacity are modeled using confidence bounds, while the short-term variability of demand and renewable production is modeled using a set of representative days. As a distinctive feature, this work takes into account the non-convex operation of conventional generating units and storage facilities, which results in a two-stage robust optimization model with a discrete recourse problem. The resulting problem is solved using a nested column-and-constraint generation algorithm that guarantees convergence to the global optimum in a finite number of iterations. An illustrative example and a case study are used to show the performance of the proposed approach. Numerical results show that neglecting the non-convex operation of conventional generating units and storage facilities leads to suboptimal expansion decisions.
Assoc.Prof. Dr. İsmail Kıyak, Marmara University, Turkey
Speech Title: Energy Saving with Smart City Lighting Applications
Abstract: Energy policies that support the use of renewable and sustainable energy sources could be used to solve the energy problems of very large cities. Energy saving has become important in recent years with smart city applications. Outdoor lighting is very important in terms of safety and visuality. Outdoor lighting is done by traditional methods in todays. However, it is quite disadvantageous both in terms of visuality and energy efficiency.
Increasing awareness of renewable energy usage, all with the goal of protecting the environment—particularly in cities with populations of more than 20 million, such as İstanbul.
In these days, rapidly developing smart building applications are very significant to make life more easier. Among these applications, smart lighting systems provide to users energy savings as well as making life easier. Today, artificial intelligence supported designs and applications are used in lighting systems around the world. Lighting systems which supported by artificial intelligence can observe lighting environments and optimize light parameters to provide user comfort and energy savings. Owing to this, it is possible to predict future consumption and defects in lighting applications.
Dr. Amela Ajanovic, TU WIEN, Vienna, Austria
Speech Title: The Role of Hydrogen in the Energy Transition and Transport Transformation
Abstract: Pressing environmental problems are accelerating the energy transition and the transformation of the transport sector. In this context, an issue of interest is to link the electricity sector and the transport sector via hydrogen. Over the last years it can be noticed increasing use of fluctuating renewable energy sources such as wind power and solar energy all over the world. However, with the increasing use of variable energy sources, balance between energy supply and demand is becoming more challenging. A specific challenge is how to store surpluses electricity. One opportunity is to produce hydrogen which can be used in different mobility applications such as fuel cell cars, trucks, locomotives, ships and even airplanes. Although, battery electric vehicles have been significantly improved over the last decade, hydrogen in combination with fuel cell vehicles is seen as a better solution in the case of larger vehicles and longer driving distances but in the long term. Hence, a coupling of electricity production from renewables and decarbonisation of the transport sector could provide a great chance for hydrogen use as a fuel for mobility and storage for surplus electricity.
Dr. Ahmet Doğan, Nuh Naci Yazgan University, Turkey
Speech Title: Applications of Heuristic Algorithms to Power System Problems
Abstract: Power demand is increasing day by day due to the rapid growth in population, industrialization and urbanization. In addition, the complexity of the power system has significantly increased in recent years as a result of the enlarged capacity of environmentally friendly components such as renewable energy sources, battery storage systems and electric vehicles. Therefore, system operators require some advanced analysis tools for optimum planning and smooth operation of complicated systems. Electrical power systems have so greatly benefited from developments in the use of optimization techniques to obtain convenient solutions. Especially, heuristics algorithms provide great ease to obtain optimum solutions. Therefore, the focal points of the presentation are the applications of heuristic algorithms to various power system problems and evaluation of their advantages/disadvantages from different aspects.
Dr. İbrahim Şengör, İzmir Katip Çelebi University, Turkey
IEEE PES Turkey Chapter Secretary
Speech Title: Flexible Management of EV Parking Lots Charging Demands in Distribution Systems
Abstract: With the developing technology, it is obvious that the charging requirements of the electric vehicles (EV) which are expected to replace the internal combustion engine vehicles will adversely affect the existing electricity grid. Thanks to the smart grid concept, the increased charging requirements of electric vehicles, one of the new generation loads, can be effectively handled by energy management algorithms. In fact, the idea of controlling these loads, which can provide operating flexibility to the system operator, has motivated many researchers around the world. This talk delivers energy management models for charging scheduling of EVs in public parking lots in distribution system operators point of view. Moreover, the effectiveness of the proposed systems is validated with credible results and useful findings obtained by the evaluated models.
Dr. Sima Davarzani, UK Power Networks, UK
Speech Title: DERMS Deployment in UK Power Networks as a Key DSO Enabler
Abstract: UK Power Networks is United Kingdom’s largest Distribution Network Operator (DNO) for electricity covering three licensed distribution networks in South East England, the East of England and London. It altogether manages an area of 30,000 square kilometres with 9.2GW of distributed generation and serves approximately twenty million population. UK Power Networks is developing capabilities to perform role of Distribution System Operator (DSO). This will build on the foundation laid over the last 6 years in connecting and managing flexible Distributed Energy Resources (DERs) and develop new capabilities in dispatching flexibility services and facilitating new markets in order to ensure that customer needs are met, reliability is maintained and decarbonisation of the electricity system is delivered at the least cost. In line with this strategy, UK Power Networks is rolling out advanced Distributed Energy Resources Management System (DERMS) that optimises the operation of the network and unlocks new capacity with efficient use DER. The new solution provides a scalable platform that can maximise the use of the services offered by an individual DER or an aggregation of DERs while coordinating with National Grid ESO and Intelligent Electronic Devices (IEDs) installed in the distribution network.
Dr. Kadir Doğanşahin, Artvin Çoruh University, Turkey
Speech Title: Integration Capacity determination for Renewable DG Units
Abstract: Increasing electrical energy demand and rising environmental and economic concerns have made renewable energy sources attractive. Participation of these resources in power systems occurs mostly through systems that are integrated into the power system from the distribution level, which is referred to as distributed generation. By the increase of penetration of distributed generators, generation decentralizes which is against for the infrastructure of the conventional power system. This may cause various problems, such as bidirectional power flows, voltage swells, or malfunctions on protection systems. This talk delivers a mathematical model determine the maximum integration capacity that will not cause overvoltage problems. In addition, other important issues related to capacity determination in DG participation planning are mentioned.