In modern power systems, renewable energy resources are becoming more relevant due to their eco-friendly nature and sustainable electrification. Therefore, it is important to consider the effects of the renewable energy resources (RERs) on the generation expansion planning and transmission expansion planning (GTEP) simultaneously. The proper assessment of power losses is essential in order to adequately

A rapid rise in power consumption, by both commercial and residential buildings, as compared to power generation is being observed in the present times. Utilities, mostly in developing nations, adopt a naive approach of reducing the demand by rolling blackouts. However, this approach leads to user inconvenience. Under these circumstances, we address this problem by implementing an effective and systematic

Smart meter technology has been developed rapidly in modern industrial environment in the context of smart grid connected residential load system. For the smart meter’s application, knowledge about instantaneous load pattern is crucial. Non-intrusive load monitoring (NILM) is a well-known method to assess the power consumption of individual load as well as its operating behavior.​ Since the modern

In an active distribution network (ADN), energy trading behavior is a key factor that affects the microgrid’s (MG’s) respective operating costs. To ensure that MGs achieve as more operating benefits as possible, this paper proposes a cooperative trading (CT) model that is based on cooperative game. A specific trading mechanism is designed to maximize the total cooperative gains and a comprehensive

This paper introduces a novel evolutionary algorithm namely modified exchange market algorithm (MEMA) to solve the various problems in the power system operation topics such as combined heat and power economic emission dispatch (CHPEED), and multi-area economic dispatch (MAED) in the presence of renewable energy sources (RESs). The MEMA is a new version of the EMA that has been modified to improve

Providing efficient support mechanisms for renewable energy promotion has drawn much attention from researchers in the recent years. The connection of a new renewable power plant to the transmission system has impacts on different electricity market indices since the other strategic generation units change their behaviour in the new multi-agent environment. In this paper, as the main contribution to

A time–frequency resolution technique based recognition of power system faults is proposed in the present work. Superlet transformation, a modified and super-resolution form of the wavelet transform, has been used to recognize the type of power system faults occurring in an interconnected power system. The Superlets were tested for sample power system disturbances and found advantageous. An IEEE-9

Electric vehicles (EVs) have a high potential in reducing greenhouse gas emissions and are able to achieve other advantages such as a reduction in local air pollution and increasing energy security. As a result, EVs are rapidly increasing in popularity, electrifying the transportation sector. This poses a serious problem for the grid as existing distribution grids were mainly sized in the pre-EV era

Photovoltaic (PV) systems and electric vehicles (EVs) integrated in local distribution systems are considered to be two of the keys to a sustainable future built environment. However, large-scale integration of PV generation and EV charging loads poses technical challenges for the distribution grid. Each grid has a specific hosting capacity limiting the allowable PV and EV share. This paper presents

Autonomous off-grid systems dependent upon Renewable Energy (RE) sources are characterized by stochastic supplies of the fluctuating low short-circuit power. Power Quality (PQ) standards define load characteristics in electric power systems and their ability to function properly without failures. Monitoring, prediction and optimization of PQ parameters are necessary to maintain their alterations steady

The behavior of constant power loads is known to be a potential cause of instability in DC microgrids. This issue is addressed by the DC microgrid stabilizer proposed in this paper. It relies on active stabilization through power electronic control by introducing a virtual positive resistance to counteract the negative incremental resistance of a constant power load. Compared with physical damping

This paper presents a comprehensive small-signal stability analysis for synchronous generator (SG)-based microgrids (MGs) considering the control type of SGs and wide range of loading condition. The original aim is to evaluate the effect of loading conditions on the small-signal stability of droop-controlled and PQ-controlled SGs which has not been adequately addressed in the literature. To this purpose

The integration of electric mobility with energy systems based on renewable sources represents one of the main pillars of sustainable cities and, in particular, of Local Energy Communities. This leads to reduce the environmental impact in urban areas and contributes to the implementation of the microgrid concept. Electric mobility services mainly include the use of electric buses, car sharing, bike

In this paper, an enhanced control strategy is presented for the doubly fed induction generator (DFIG) based variable speed wind turbine system, to maximize the energy extraction from the variable wind. The idea behind the additional energy capture is to enhance the maximum power point tracking (MPPT) by modifying the reference electrical torque. The proposed reference torque is derived from some unobservable

Making sustainability evaluation of public–private partnership (PPP) microgrid can not only produce a great impact on distributed generation but also be related to the planning and operation of distribution network. In consideration of the identification of key influence factors (KIFs) about the sustainability of PPP microgrid, information loss, and risk attitude of decision-makers (DMs), an integrated

The smart grid ensures greater robustness, efficiency, reliability and flexibility. Very long, old and poorly planned Low Voltage Distribution System (LVDS) of India is the major reason behind the high Aggregated Technical and Commercial (AT&C) loss, inferior power quality and low reliability besides consumer dissatisfaction. Review of smart grid policy framework of India indicated that the upgradation

Distribution system state estimation (DSSE) is essential for smart grid monitoring and control. Bus voltage phasors and, consequently, DSSE uncertainty can be significantly affected by photovoltaic (PV) penetration, even when suitable hosting capacity strategies are adopted to keep voltage levels within given limits. In this paper, it is shown that the state estimation uncertainty achievable with algorithms

Alarming greenhouse gaseous emissions is one of the key factors for meeting future energy demand from sustainable eco-friendly resources like wind and solar. These resources use power electronic converters for the interconnection with the grid resulting in their zero/low inertia response. This can lead to non-deterministic damping of low-frequency oscillations in the power system. Moreover, this may

Electrical distribution networks are facing an energy transition which entails an increase of decentralised renewable energy sources and electric vehicles. The resulting temporal and spatial uncertainty in the generation/load patterns challenges the operations of an infrastructure not designed for such a transition. In this situation, Optimal Power Flow methods can play a key role in identifying system

This paper presents a novel sizing methodology (energy and power rating) for a Community Battery Energy Storage System (CBESS). The CBESS provides management of the local community energy, and also delivers ancillary services. The investigation considers the economic performance of the CBESS over a 20 year lifetime, including potential revenue when the CBESS provides services for the National Grid

The needs for improving observability of medium and low voltage distribution networks has been significantly increased, in recent year. In this paper, we focus on practical approaches for placement of affordable Measurement Devices (MDs), which are providing three phases voltage, current, and power measurements with certain level of precision. The placement procedure is composed of a state-estimation

Mobile power sources (MPSs) have great potentials to enhance the resilience of distribution system due to mobility and flexibility. However, because of incomplete and asynchronous data after a natural disaster, decisions may lead to under-utilization of MPS and weak recovery performance. This paper proposes a robust receding horizon recovery strategy that dispatches MPSs and forms multiple microgrids

5G technology rollout has already begun across the world in non-standalone format alongside LTE (Long-Term Evolution) Macro structures. LTE has proven to be unsustainable in the long run. 5G electronic architecture is characterized by fewer transmissions in an always-on mode unlike LTE, where the sleep time is less than 1ms and thus LTE has a small proportion of fast activation components that are

This article proposes a robust delay dependent stability analysis of pitch control system of large wind turbines (LWTs) having communication time delay with fractional order PID controller. Fractional order proportional integral and derivative (FOPID) controller is used for pitch angle control. To analyze gain and phase margins effect, a gain and phase margins (GPMs) tester is added to the control

Increasing the implementation of distributed generation and introducing multi-carrier energy systems highlight the need for energy hub systems. The energy hub is a new idea implemented in multi-carrier energy systems, sending, receiving, and storing different energy types. Therefore, the present paper proposes an improved energy hub consisting of different types of renewable energy-based DG units considering

The constant pursuit for emerging renewable power sources has led to the development of floating solar photovoltaics (FSPV). FSPVs operate on water bodies and hence its performance is different from the land-based counterparts. Degradation and aging of PV modules severely affects the reliability and the life of PV power plants. Owners and other beneficiaries are concerned about the actual degradation

In this paper, a low cost wind turbine emulator (WTE) is designed and implemented. The aim is accurately simulating the nonlinear behaviors and characteristics of a real wind turbine. It is well known that each wind turbine has its own power coefficient characteristic. This work contains an analysis of the WTE by considering the main power coefficient models known in literature. Speed sensor is one

Distribution systems have to withstand against natural calamities in such a way that self-healing (SH) persists even during blackout with multiple line faults in the system. Owing to limited power generation from distributed energy resources (DERs), the real challenge behind SH algorithm (SHA) is to restore maximum priority loads (PLs) while satisfying vital network operational constraints besides

Smart residences that could optimally integrate the actions of all their components are essential in the smart grid architecture. This paper proposes a mixed-integer linear programming (MILP) model of a single residence that optimally operates the residential appliances as well as manages the energy received from the Distributed Energy Resources (DERs) apart from the utility grid according to the day-head

Integration of the electric vehicles (EVs) and vehicle-to-grid (V2G) technology with renewable energy sources (RESs) is the hottest topics among researchers. Many studies have been done in this field, but in most of them, discussion of aspects of electrified transportation have been limited. The V2G system due to its structure and supporting role for the grid influences the power demand and supply

Security Constrained Unit Commitment (SCUC) is carried out by power system operators to determine the optimal participation of generating units to meet the load demand while satisfying units’ and systems’ constraints as well as the desired level of security. With technological advances in the realm of communications and development in the infrastructure, a proper environment for the active contribution

The Capacity Value Ratio (CVR), or the part of its capacity that a technology can supply during peak residual load hours, is an important concept in the context of future resource adequacy. Especially for distributed resources, this is still underexplored territory. In this research, we investigate the peak reduction potential on both the distribution and transmission system level for a community battery

Industrial electricity demand is growing rapidly, whereby, energy consumption modeling and optimization techniques in industries has attracted significant attention in recent years. In this paper, a new model of energy consumption in the production process of aluminum, steel and cement is presented in accordance with a linear piece-wise approximation (LPWA) method. The proposed model is subsequently

This paper proposes a frequency-based energy management scheme (FEMS) for islanded operation of a microgrid (MG). The proposed FEMS uses a hybrid Energy Storage System (HESS), which is a combination of a battery ESS (BESS) and a Supercapacitor ESS (SESS). The BESS is used for continuously matching power generation and consumption, while SESS is used for fast dynamic power regulations like primary frequency

Electric vehicle (EV) is essential to reduce the emission caused by conventional vehicle. Placement of electric vehicle charging station (EVCS) is crucial to fulfilling the charging demand at different locations maintaining the minimum negative impact on the power system network. In this article, placement of EVCS has been planned in a radial distribution network superimposed with a road network. The

Due to the increasing penetration of electric vehicles (EVs) in the distribution grid, coordinated control of their charging is required to maintain a proper grid operation. Many EV charging strategies assume that the EV can charge at any rate up to a maximum value. Furthermore, many strategies use detailed predictions of uncertain data such as uncontrollable loads as input. However, in practice, charging

In this paper, we study the performance of various deep reinforcement learning algorithms to enhance the energy management system of a microgrid. We propose a novel microgrid model that consists of a wind turbine generator, an energy storage system, a set of thermostatically controlled loads, a set of price-responsive loads, and a connection to the main grid. The proposed energy management system is

Technological progress of distributed generation (DG) units, global approach to reduce the pollution emissions, and creating the opportunity for local investors to participate in the generation expansion investment, are some of the important reasons to involve the DG as an alternative option in the GEP. In this regard, expansion of the DG units compared to the expansion of centralized generation units

A demand response program for electric vehicles (EV) is proposed to control the charging decision process in EV clusters. This approach corresponds to a time-of-use solution which is an indirect method, based on prices, for inducing demand modifications on consumers. An aggregator of EV fleet acts as a dealer between an electricity market and consumers. The EV aggregator is a price-taker agent from

Water irrigation systems (WISs) are an important factor for agricultural development and food security. However, their energy supply is affected by several problems related to the use of diesel generators, especially in remote areas. This paper describes a new methodology used to design a cost-effective and sustainable solution to provide a water irrigation system with a demand of 40 kWh/day. A combined

The hydraulic transients are obvious during the operation and adjustment of large-scale district heating (DH) network. Hydraulic transient modeling and simulation methods can provide basis for efficient operation of the DH network. In this paper, two hydraulic transient models, the distributed parameter model (DPM) and lumped parameter model (LPM), were established for DH network. Efficient numerical

The Photovoltaic (PV) systems have arisen as one of the best alternatives to electrical power generation based on renewable sources. However, such systems lack on energy transformation efficiency that gets worse in weather changing conditions. Hence, the application of Maximum Power Point Tracking (MPPT) methods that can extract the maximum power even for varying weather conditions is an essential

In this paper, a dynamic planning approach is presented in order to determine the optimal number, location, capacity and time for construction or development of electric vehicles (EVs) parking lots in a distribution system. Estimating the power exchange between the EVs and parking lots is a fundamental prerequisite in parking lot planning. The amount of power exchanged depends on how EVs are charged

Information and communication technology (ICT) has been critical to the emergence of a new Internet-of-Things (IoT) era, as a rapidly increasing number and variety of IoT electronic devices in a wide range of end-use sectors require massive data communication in terms of volume, velocity/speed, and variety. Semiconductor technology advancements have played a key role in ICT and unlike the past ICT

Building-based active envelopes play an important role to reduce active heating supplies. Several techniques are developed to enhance the energy performances of active building envelopes; meanwhile, numerous numerical and mathematical models are also developed to conduct the performance analysis of these techniques. In this paper, we propose a state-space model for solar active wall-based Phase Change

The demand-supply balance of electricity systems is fundamentally linked to climate conditions. In light of this, the present study aims to model the effect of climate change on the European electricity system, specifically on its long-term reliability. A resource adequate power system – a system where electricity supply covers demand – is sensitive to generation capacity, demand patterns, and the

Due to the electricity market risks and lack of various purchasing options, electricity customers are reluctant to participate in the electricity market. On the other hand, due to the electricity grid conditions and the absence of enough information about customers’ preferences, most utilities do not differentiate electricity services at the customer level. To provide various service options, this

Locational marginal pricing (LMP) in a deregulated electricity market is a result of bidding competition from nodes (locations). This paper presents a deep learning neural network for the 24 h-ahead LMP forecasting of a specific node in a zone at the PJM power market using other zonal prices. The presented method uses a Convolutional Neural Network (CNN), which is a well-known architecture for deep

Fast primary regulation and synthetic inertia supply are two novel ancillary services for power system frequency control. Although general agreement about their definition is still missing, these services have started to be recognized and inserted into the grid codes of some transmission system operators, especially to handle isolated systems with large penetration of non-programmable renewable energy

This paper proposes a simulation-based method for assessing the collusion potential among Generating Companies (GENCOs) who participate in a wholesale electricity market. For this purpose, a game-theoretic framework is developed to model the strategic bidding behaviors of GENCOs in both non-cooperative and collusive oligopoly electricity markets. In a collusive oligopoly market, GENCOs may negotiate

It can be predicted that the future power system, especially microgrids (MGs) will consist of many different sources and storages. In this regard, many researches have been conducted on different energy management strategies to improve power system adequacy indices. This paper presents a hybrid stochastic/robust coordinated power management strategy (CPMS) to simultaneously improve the flexibility

The emergence of electric vehicles (EVs) use imposes new challenges considering the increasing in power demand which gives reflection for using renewable energies such as photovoltaic (PV) power. This paper proposes a novel energy management strategy (EMS) for a residential electric vehicle charging station (EVCS). This station consists of a PV power source connected to the grid with a suitable energy

This paper explores a revenue maximization problem for distributed energy resources in a local day-ahead and balancing market. The local market creates opportunities for competition among distributed energy resources, however it may also lead to exercising market power. In the day-ahead market, the strategic revenue maximization of the distributed energy resources is modelled through a bi-level optimization

With the increasing penetration of power electronic equipment for various day to day applications, several testing methods are also gaining attention. Power level emulation is a popular technique which is typically employed for mimicking the behaviour of a source or load in real-time. Most of the available literature deals with the power level emulation of balanced loads and sources. This paper presents