A5084218349- Electric Power System Optimization
- Smart Grid Energy Management
- Optimal Power Flow Distribution
- Microgrid Control and Optimization
- Integrated Energy Systems Optimization
- Electric Vehicles and Infrastructure
- Energy Load and Power Forecasting
- Power System Optimization and Stability
- Water resources management and optimization
- Power System Reliability and Maintenance
- Advanced Battery Technologies Research
- Plant Physiology and Cultivation Studies
- Renewable energy and sustainable power systems
- Smart Grid Security and Resilience
- Energy Efficiency and Management
- Hybrid Renewable Energy Systems
- Reservoir Engineering and Simulation Methods
- Building Energy and Comfort Optimization
- Hydrology and Watershed Management Studies
- Flowering Plant Growth and Cultivation
- Hydrological Forecasting Using AI
- Water-Energy-Food Nexus Studies
- Wind Energy Research and Development
- Grey System Theory Applications
- Power Systems and Technologies
Norwegian University of Science and Technology
2013-2024
Western Norway University of Applied Sciences
2023
Hohai University
2022
NTNU Samfunnsforskning
2018-2019
SINTEF
2012-2016
Kerman University of Medical Sciences
2016
Shahid Bahonar University of Kerman
2004-2014
University of Tehran
2011
Shahid Beheshti University
2004
This paper presents a systematic procedure for partitioning smart distribution systems into supply-sufficient microgrids. First, renewable distributed generations (DGs) are optimally allocated in the system. A multiobjective performance index including voltage profile and energy losses indices is utilized this problem as objective function. Two alternative control approaches of future grids, on load tap changer adaptive power factor assessed to maximize potential benefits increase...
Hydro power is one of the most flexible sources electricity production. Power systems with considerable amounts hydro potentially offer easier integration variable generation, e.g., wind and solar. However, there exist operational constraints to ensure mid‐/long‐term security supply while keeping river flows reservoirs levels within permitted limits. In order properly assess effective available flexibility its value for storage, a detailed assessment essential. Due inherent uncertainty...
In order to unlock the flexibility potential of energy consumers and prosumers, development market mechanisms for planning procurement is necessary. The authors propose a stochastic local solve grid issues such as voltage deviations congestion in distribution grid. Their proposed solution includes activation assets at consumers' premises, using design. They consider pooled design under demand uncertainty bidding process. Optimization models are used determine supply bids by system operator...
Local energy communities are forming as a way for prosumers and consumers to invest in distributed renewable sources, community storage share electricity. Meanwhile, several distribution grids have voltage problems at certain hours of the year. consisting generation units might be valuable flexible assets that system operator (DSO) can make use of. This article aims study how battery an provide services grid, by creating linear optimisation model which includes power flow constraints...
Energy communities are emerging across Europe, and each country is currently in the process of forming regulations for their integration into electricity grid. The efficacy energy depends upon various factors, including member demographics, technological aspects, load profiles, solar irradiation, spot prices within community's geographical location. Notably, existing studies on predominantly focus residential with limited exploration impact distribution This article aims to contribute...
This paper presents the design of a single-phase electric vehicle (EV) on-board bidirectional charger with capability power conditioning. can control its charging/discharging active based on demand EV battery/network or load. Also, it controls reactive and harmonic current characteristics nonlinear linear loads. The topology proposed consists ac/dc buck-boost dc/dc converters, where operate in four quadrants active-reactive plane compensation. In next step, this suitable strategy for...
This study proposes combined framework for proactive operation, i.e. bidirectional active and reactive power management, of the smart distribution network as well harmonic compensation non‐linear loads using electric vehicles (EVs) equipped with chargers. The problem is in form programming (NLP) where objective function to minimise voltage deviation at fundamental frequency total distortion. load flow equations, EVs constraints, system operation indexes limits are formulated constraints....
Norway has implemented economic incentives over several years to encourage a transition from conventional vehicles electric (EVs), and now the largest share of EVs per capita in world. In this study, authors explore impacts increasing EV penetration levels Norwegian distribution grid, by using real power measurements obtained household smart meters load flow analyses. The implications installing fast charger grid have been assessed, an optimal location for it is proposed, aiming at...
Over-voltage in low voltage feeders due to the increasing penetration level of photovoltaic (PV) is a crucial issue be addressed. There need use more advanced control methods satisfy response time system. In this paper, two-level strategy presented. first level, based on day-ahead PV production scenario, Both on-load tap changer (OLTC) and battery energy storage systems (ESSs) are applied deal with over-voltage peak generation as well drop demand. batteries position feeder transformer...
The increasing share of variable renewable energy sources creates a need for flexibility resources in the power system operations. This paper presents suggestions characterizing flexibility, including dimensions time, spatiality, resource type, and risk systems. We present interrelations between these dimensions, products, services, suitable market designs. In light this, we discuss TSO–DSO coordination optimal allocation.
It is essential to have accurate and reliable daily-inflow forecasting improve short-term hydropower scheduling. This paper proposes a Causal multivariate Empirical mode Decomposition (CED) framework as complementary pre-processing step for day-ahead inflow problem. The idea behind CED combining physics-based causal inference with signal processing-based decomposition get the most relevant features among multiple time-series values. validated two areas in Norway different meteorological...
Increased production flexibility will be needed for the operation of a future power system with more uncertainty due to an increased share uncontrollable generation from renewable sources. Wind energy is expected cover large portion generation. In this paper, comparison carried out between two balancing market models, simulating non- and fully-integrated northern European in 2030 scenario. modelled based on high resolution numerical weather prediction models wind speed measurement actual...