A5082941890- Smart Grid Energy Management
- Electric Power System Optimization
- Microgrid Control and Optimization
- Renewable energy and sustainable power systems
- Electric Vehicles and Infrastructure
- Advanced Battery Technologies Research
- Optimal Power Flow Distribution
- Power System Reliability and Maintenance
- Energy Load and Power Forecasting
- Islanding Detection in Power Systems
- Integrated Energy Systems Optimization
- Belt Conveyor Systems Engineering
- Hybrid Renewable Energy Systems
- Frequency Control in Power Systems
- Power System Optimization and Stability
- Smart Grid Security and Resilience
- Transportation and Mobility Innovations
- Induction Heating and Inverter Technology
- Advancements in Battery Materials
- Power Systems and Renewable Energy
- Power Systems Fault Detection
- Global Energy Security and Policy
- Energy Efficiency and Management
- HVDC Systems and Fault Protection
- Maritime Transport Emissions and Efficiency
University of Zagreb
2015-2024
Institute of Economics Zagreb
2022
Eindhoven University of Technology
2022
China Agricultural University
2020
University of Aveiro
2017
University of Washington
2013-2015
Seattle University
2014
Faculty of Electrical Engineering and Computing in Zagreb
2010-2011
For a successful rollout of electric vehicles (EVs), it is required to establish an adequate charging infrastructure. The access such infrastructure would help mitigate concerns associated with limited EV range and long times. Battery swapping stations are poised as effective means eliminating the waiting times batteries. These mediators between power system their customers. In order successfully deploy this type stations, business operating model required, that will allow generate profits...
Energy storage can alleviate the problems that uncertainty and variability associated with renewable energy sources such as wind solar create in power systems. Besides applications frequency control, temporal arbitrage or provision of reserve, where location is not particularly relevant, distributed could also be used to congestion transmission network. In cases, siting sizing this crucial importance its cost-effectiveness. This paper describes a three-stage planning procedure identify...
With the roll-out of electric vehicles (EVs), automobile industry is transitioning away from conventional gasoline-fueled vehicles. As a result, EV charging demand continuously growing and to meet this demand, various types vehicle stations (EVCSs) are being deployed for commercial residential use. This nexus EVs, EVCSs, power grids creates complex cyber-physical interdependencies that can be maliciously exploited damage each these components. paper describes analyzes cyber vulnerabilities...
Renewable electricity generation not only provides affordable and emission-free but also introduces additional complexity in the day-ahead planning procedure. To address stochastic nature of renewable generation, system operators must schedule enough controllable to have flexibility required compensate unavoidable real-time mismatches between production consumption electricity. This be scheduled ahead comes at a cost, which should minimized without compromising operational reliability...
Energy storage (ES) is a pivotal technology for dealing with the challenges caused by integration of renewable energy sources. It expected that decrease in capital cost will eventually spur deployment large amounts ES. These devices provide transmission services, such as spatiotemporal arbitrage, i.e., storing surplus from intermittent sources later use loads while reducing congestion network. This paper proposes bilevel program determines optimal location and size to perform this arbitrage....
We introduce emerging utility-scale energy storage (e.g., batteries) as part of the set control measures in a corrective form security-constrained unit commitment (SCUC) problem. This enhanced SCUC (ESCUC) leverages for multiple applications. In base case, units are optimally charged and discharged to realize economic operation. Immediately following contingency, injections adjusted almost instantly alleviate short-term emergency overloads, thereby avoiding potential cascading outages giving...
Large-scale integration of wind farms causes volatile bus net injections. Although these fluctuations are anticipated, their timing, magnitude and duration cannot be predicted accurately. In order to maintain the operational reliability system, this uncertainty must adequately addressed at day-ahead generation scheduling stage. The ad-hoc reserve rules incorporated in deterministic unit commitment formulations do not account for uncertainty. Scenario-based stochastic model more precisely,...
This paper proposes a new transmission-constrained unit commitment method that combines the cost-efficient but computationally demanding stochastic optimization and expensive tractable interval techniques to manage uncertainty on expected net load. The proposed hybrid approach applies formulation initial operating hours of horizon, during which wind forecasts are more accurate, then switches for remaining hours. switching time is optimized balance cost unhedged from against security premium...
This paper describes a robust optimization approach to minimize the total cost of supplying remote telecommunication station exclusively by renewable energy sources (RES). Due intermittent nature RES, such as photovoltaic (PV) panels and small wind turbines, they are normally supported central storage system (ESS), consisting battery fuel cell. The is carried out mixed-integer linear program (RMILP), results in different optimal solutions, depending on budgets uncertainty, each which yields...
To decarbonize the heating sector, residential consumers may install heat pumps. Coupled with loads high thermal inertia, these thermostatically controlled provide a significant source of demand side flexibility. Since capacity is typically insufficient to take part in day-ahead electricity market (DAM), aggregators act as mediators that monetize flexibility through response (DR). In this paper, we study strategic interactions between an aggregator, its and DAM using bilevel optimization...
Suitably located energy storage systems are able to collect significant revenue through spatiotemporal arbitrage in congested transmission networks. However, capacity expansion can significantly reduce or eliminate this source of revenue. Investment decisions by merchant operators must, therefore, account for the consequences potential investments central planners. This paper presents a tri-level model co-optimize electrochemical siting and sizing with centralized planning. The upper level...
Battery energy storage is becoming an important part of modern power systems. As such, its operation model needs to be integrated in the state-of-the-art market clearing, system operation, and investment models. However, models that commonly represent a large-scale battery are inaccurate. A major issue they ignore dependence charging on state energy. Consequently, players might suffer great monetary losses for not being able follow their day-ahead schedule and/or deliver scheduled reserves....
Given its physical characteristics and the range of services that it can provide, energy storage raises unique modeling challenges. This paper summarizes capabilities operational, planning, resource-adequacy models include should have surveys gaps in extant models. Existing represent differ fidelity representing balance power system energy-storage applications. Modeling results are sensitive to these differences. The importance capturing chronology raise challenges modeling. Some 'decouple'...
Uncertainty associated with renewable power generation that supplies microgrid consumption brought new approaches to optimization frameworks. This paper proposes an advanced double-layer adaptive energy management system (EMS) for short-term operation scheduling. An EMS uses a reactive scheduling framework based on the rolling horizon strategy. It consists of two interconnected problems called layers. The upper layer performs online profit maximization, while lower near real-time dispatching...
A number of scenario reduction techniques have been proposed to make possible the practical implementation stochastic unit commitment formulations. These scenario-reduction aggregate similar scenarios based on their metrics, such as probability, hourly magnitudes, or cost resulting from each scenario. This paper compares these different in terms operating and amount time required complete computation UC. comparison is Monte Carlo simulations generation schedules for a modified version 24-bus...
In order to increase the adoption rate of electric vehicles, they need appeal customers as much their fossil fuel equivalents. However, major concerns include long battery charging times and range anxiety. These can be mitigated if have access swapping stations, where meet motion energy requirements by batteries for charged ones, in time it takes fill gasoline reservoir a conventional vehicle. Besides benefiting customers, station is beneficial power system because emulates an storage...
Charging stations are the basic infrastructure for accommodating energy needs of electric vehicles (EVs). Companies expected to invest in these charging by installing them at locations with a dense concentration vehicles, such as parking places, commercial centres, and workplaces. In order investors EV maximise their profits mitigate impact on power grid, would benefit from coupling an storage system (ESS). ESS be used arbitrage balance out time‐variant uncertain demand. This study proposes...
In order to alleviate the energy crisis and environmental pollution, electric vehicles (EVs) have been developed on a large-scale throughout world in exceptional period. On other hand, virtual power plant (VPP), an aggregator involved various renewable energies diversified loads, is considered as crucial measure coordinate with EVs participate market. Obviously, equivalent model of EV VPP difficult fulfill need for development future. Therefore, it great significance establish detailed...
Bulk integration of Distributed Energy Resources (DERs) into the power grids reduces system's inherent inertial response.The reduced response causes a high Rate-of-Change-of-Frequency (RoCoF) and poses formidable operational challenges for grid frequency stability. Interconnections around world comprehend role value Synthetic Inertia Control (SIC), which is considered as subset Fast Frequency Response (FFR) one potential solutions to arrest RoCoF in low-inertia systems. This paper proposes...