G. Reza Yousefi

Isfahan University of Technology | IUT

The locations and sizes of plug-in electric vehicle fast-charging stations (PEVFCS) can affect traffic flow in the urban transportation network (TN) and operation indices in the electrical energy distribution network (DN). PEVFCSs are supplied by the DNs, generally using power electronic devices. Thus, PEVFCSs could be used as power line conditione...

Electrical Vehicles (EVs) have a growing penetration rate in many countries aimed at the reduction of fossil fuel consumption and declining environmental issues. The high penetration rate of EVs, as new electrical energy demands, can cause operational problems for distribution networks. Therefore, designing and implementation of monitoring and mana...

A generation company (GENCO) which has a conventional power plant (CPP) intends to add an energy storage system (ESS) beside the CPP to increase its flexibility and profitability. For this purpose, a new model is proposed for coordinated operation planning of the CPP and ESS in energy and spinning reserve markets in the presence of a bilateral cont...

In this study, a three‐settlement electricity market including the day‐ahead, risky, and real‐time trades is analysed. A wind power producer faces generation uncertainty and needs to cover its real‐time generation deviation unless it would be penalised. To do so, wind power producers participate in an intraday risky power market, as well as in the...

In this paper, a new model for "coordinated expansion planning of transmission and electrical energy storage systems (CEP)" to decrease the vulnerability against physical intentional attacks (PIAs) is proposed. In this model, generators and the amount of load at the planning horizon year are assumed to be known and load variations during four sampl...

In this study, optimised and coordinated operation planning of a generation company's (GenCo's) generation portfolio consisting of a wind farm, a gas turbine, and energy storage systems [battery and natural gas (NG) energy storage systems] is modelled. In this model, all the electrical energy (EE) and NG trades are performed through long‐term contr...

The first part of this two-part paper proposes tri-level transmission expansion planning (TTEP) under physical intentional attacks. In the first level, the network planner looks for an optimal transmission expansion plan to fortify the power network. In the second level, the attacker tries to maximise damages to the network. In the third level, the...

In the second part of this two-part study, the authors numerically validate and analyse the tri-level transmission expansion planning (TTEP) which is formulated and explained in the first part. TTEP is performed aim to minimise the destructive impacts of physical intentional attacks. At first, an illustrative example (a three-bus system) is provide...

Equitable and efficient allocation is one of the basic principles in all energy management systems. Classic allocation methods tend to maximize the customers’ total surplus to achieve the maximum possible efficiency. From the perspective of equity, there are some elements of ambiguity in this approach. In this paper, a new approach is proposed to a...

One of the challenging issues in a restructured power system is fair allocation of transmission losses to its users. This study proposes two new algorithms to trace the active power produced (consumed) by the generators (loads) for assigning active losses to the generators or loads separately. In the proposed methods, there is no need to convert th...

In recent two decades, the power systems have confronted with considerable changes such as the power system restructuring, growth of distributed energy sources and renewable energy sources (RESs), and emergence of smart grid concept. One of the common challenges caused by these changes is flexibility necessity of energy resources. One of the best s...

This paper proposes a static model for coordinated generation and transmission expansion planning (CGTEP). While reducing the cost of investment, operation and energy not served within the system, the model aims to mitigate the vulnerability of power system against physical deliberate attacks in the horizon of planning. Moreover, the peak load of t...

Inverters (dc/ac converters) are commonly used to connect distributed energy resources (DER) to the grid. Hence, the penetration rate of inverters is growing in distribution systems along with DERs. Depending on their development and penetration level, grid requirement standards for DERs are re-vised. New grid codes allow DERs to control their outp...

This paper proposes a new efficient method for solving the reactive power tracing problem in a transmission system. Based on the operating point obtained by an ac power flow computation, a novel model is first introduced to represent the lines, which generate reactive power, for considering them as separate reactive power sources. This model conver...

Iran, as a developing country with a growing population, has an increasing energy consumption. In particular, the electricity consumption with the average annual growth rate of 7.24% has been increasing considerably over the past two decades. In step with the changes in the world electricity industry, initial steps towards restructuring in Iran's e...

This paper presents a robust framework for active and reactive power management in distribution networks using electric vehicles (EVs). The method simultaneously minimizes the energy cost and the voltage deviation subject to network and EVs constraints. The uncertainties related to active and reactive loads, required energy to charge EV batteries,...

This paper proposes a practical time-phased model to analyze the vulnerability of power systems over a time horizon, in which the scheduled maintenance of network facilities is considered. This model is deemed as an efficient tool that could be used by system operators to assess whether how their systems become vulnerable giving a set of scheduled...

As a long term bidding behavior, bid shading is exhibited by wind farms participating in real Uniform Price (UP) markets. This signifies that the wind farm owners bid far below their true long run marginal cost. In this paper, a method is proposed to consider the uncertainty of bidding admission in the long term expected revenue of wind farms. We s...

Transmission network is one of the most attractive targets for destructive agents due to its widespread, crucial importance for the society and operation conditions close to its static and dynamic limits. In this paper a framework is proposed for Transmission System Reinforcement (TSR) problem to consider vulnerability caused by intentional attacks...

This study addresses the vulnerability analysis of power systems over a time horizon. The authors introduce a model which could be used by system operators to assess where and when, over a specific time horizon, their power systems are most vulnerable to intentional attacks. This new time-phased vulnerability analysis is modelled as a bilevel progr...

Load frequency control is among the most important control tasks in power systems operation. Many researchers have focused on tuning the load frequency controllers using single-objective evolutionary algorithms. To avoid the drawbacks of single-objective optimisation algorithms, in this paper, tuning the load frequency controllers is modelled as a...

In a smart power system, smart measurement infrastructure brings so many advantages in monitoring and control of the power system. This paper proposes an optimal real time transmission congestion management algorithm in a competitive electricity market based on real time measurements in a smart power system. Instead of static and fix thermal rates,...

Demand Response (DR) programs have been implemented in many competitive electricity markets to prevent price spikes and power systems unreliability. Mathematical modeling of these programs helps regulators to evaluate the impact of price responsive loads on market conditions. In this paper, several nonlinear economic models of price responsive load...

This paper presents an algorithm for the economical design of a utility-scale photovoltaic (PV) power plant via compromising between the cost of energy and the availability of the plant. The algorithm inputs are the plant peak power and the price of inverters with respect to their power ratings. The outputs are the optimum inverter ratings and the...

This paper focuses on day-ahead (DA) retailing for fixed and Time-of-Use (TOU) price taker customers and DA real time pricing for active customers who participate in short-term markets. Customers’ response to the offered hourly prices are modeled using an hourly acceptance function which includes decreasing linear probability density functions base...

One of the most critical issues in overhead cranes is the swing of a suspended load while the crane starts to move and accelerates, changes the movement direction, breaks or stops. This can lead to severe damage, and therefore several methods have been applied to damp the load swings. Most of these methods are based on information about the swing a...

In a competitive electricity market, a GENCO which has wind generation, is able to control and minimize its trading risks by participating in different markets such as spot market and bilateral contracts. Wind generation may have a high level of risk due to uncertainties in wind, energy price fluctuations and penalties due to energy unbalancing. In...

In the last few years, Reconstruction in electrical industry has led to optimal using of existing transmission lines capacity in order to reach to maximum economic efficiency. Improvements in communication technologies and sensors make possible real time calculation of transmission lines thermal capacity, which is called dynamic rating. On the othe...

Restructuring has changed purpose of generation expansion planning (GEP) from being cost-minimization to profit-maximization. In this paper, we introduce a new formulation for objective function of generating companies (GENCOs) GEP problem in pool electricity market which includes the revenues of energy and capacity reserve markets and costs of fue...

The deployment of diverse demand side portfolio in smart distribution systems has given rise to more flexible distribution companies (Discos). Distributed generator (DG) and interruptible load (IL) are seen as an additional instrument to Discos to achieve targets for promoting competition, increasing the reliability of smart distribution systems an...

This paper proposes a Mixed Integer Non Linear Programming (MINLP) for solving Security Constrained Optimal Power Flow (SCOPF) that has been simulated in Generalized Algebraic Modeling System (GAMS). The objective function of SCOPF is minimize total generation cost considering transmission security, reduces transmission loss and improves the bus vo...

This paper explains the most efficient PMUs (Phasor Measurement Unit) placement for full supervision and observation of the power system in light of minimum number of PMUs. This paper compares Mixed Integer Programming (MIP) in GAMS with heuristically algorithms in MATLAB to certify proposed method. On the other hand, IEEE 30-57 bus and Tehran 41bu...

In recent years by increasing the sensitivity of loads to electricity power quality as well as power industry liberalization and reconstruction, distribution system reliability evaluation has been become more important. On the other hand with technology progression, time-varying tariffs of consumption electricity and increasing the diversity of loa...

The expansion of transmission systems impacts many entities in the market environment. Each entity may fare better or worse as a result of congestion relief in the presence of new facilities. Negatively affected firms apply their authority to prevent the expansion from taking place. The opposition of these firms and the lack of appropriate incentiv...

from only given. Frequency Control (FC) is one of the most important duties of the system operator which is done in different levels called primary, secondary and tertiary controls. These three levels keep generation and consumption balanced. The first level is primary frequency control (PFC). This is a local automatic control that stabilizes frequ...

This paper presents a formulation of security constrained unit commitment (SCUC) with emphasizing on Mixed Integer Nonlinear Programming (MINLP) and Benders Decomposition. The problem is finding a solution which satisfies the constraints and maximizes the objective function. The proposed method is solved using MINLP using solver in GAMS software. A...

This paper presents a formulation of security constrained unit commitment (SCUC) with emphasizing on wind farm. In past years, a fast growth in development of wind generation has been experienced in power system. The problem is finding a solution which satisfies the constraints and maximizes the objective function. The proposed model is solved usin...

Recent developments in traditional power systems which involve emerging smart technologies and widely employing of communication will convert the present electricity grids into the smart grids. The future smart and efficient power systems will treat completely different compare with the existing power systems. This paper discusses the effect of eme...

In a competitive electricity market, Gencos should schedule their generators' maintenance plan to maximize their profit. Many of previous works are concentrated on short term bidding strategies. Besides, in the mid-term plan, several items such as reliability, fuel, pollution, and risk constraints are considered. Unit Maintenance Scheduling (UMS) h...

Gencos, in a restructured power system, try to schedule their generators' maintenance in order to maximize their profit. Besides, Unit Maintenance Scheduling (UMS) as a mid-term plan has a significant effect on the Genco's profit in a power market. In a regulated power system, UMS is usually determined by a central system, such as System Operator (...

One of the responsibilities of power market regulator is setting rules for selecting and prioritizing demand response (DR) programs. There are many different alternatives of DR programs for improving load profile characteristics and achieving customers’ satisfaction. Regulator should find the optimal solution which reflects the perspectives of each...

Recently implementation of Time of Use (TOU) program has been started in Iranian Power Systems by means of three tariffs digital meters. Time based rate Demand Response (DR) applicability, necessity of peak reduction (in peak hours) and increasing Load Factor (LF) are main reasons for installing the mentioned meters by Ministry of Energy. In this p...

Unlike markets for storable commodities, electricity markets depend on the real-time balance of supply and demand. Although much of the present-day grid operate effectively without storage technologies, cost-effective ways of storing electrical energy can make the grid more efficient and reliable. This work addresses an economic comparison between...

Recently, a massive focus has been made on demand response (DR) programs, aimed to electricity price reduction, transmission lines congestion resolving, security enhancement and improvement of market liquidity. Basically, demand response programs are divided into two main categories namely, incentive-based programs and time-based programs. The focu...

This work addresses a new framework for self-scheduling of an individual price-taker pumped-storage plant in a day-ahead (DA) market. The goal is achieving the best trade-off between the expected profit and the risks when the plant participates in DA energy, spinning reserve and regulation markets. In this paper, a set of uncertainties including pr...

This work addresses a new framework for self-scheduling of a price-taker fuel and emission constrained power producer in a day-ahead market. The goal is determination of a trade-off between the expected profit and the risk when the power producer participates in day-ahead energy and spinning reserve markets. In this paper, a set of uncertainties in...

This work introduces coupling fuel-constrained power plant and electric energy storage plant aim to overall profit increment in a restructured electricity market. Among electric energy storage technologies, we select NaS battery (Natrium Sulfur battery) systems for coupling with power plant because of their enough technological maturation and less...

One of the most important issues in electricity power systems, regulated or deregulated, is reactive power management. Voltage stability, voltage profile and losses optimization are some of objectives in reactive power management and control. Under Load Tap Changer (ULTC) transformers and generator units are two common instruments which have been u...

In this paper an economic comparison between using FACTS devices and demand response programs implementation for the enhancement of available transmission capacity is addressed. In order to reach to this target first, direct load control program, as the most common demand response program, is considered. Then, enhancement of ATC by using of TCSC, s...

Demand side management (DSM) is called demand response (DR) in the deregulated power markets. The goals of the DR programs in the electricity power markets are different and sometimes are contradicted to each other in which they could not be optimized simultaneously. Power systems regulators try to use multi criteria decision making (MCDM) to overc...

In the electricity market, it is highly desirable for suppliers to know the electrical behavior of their customers, in order to provide them with satisfactory services at the least cost. One of the most important objectives in such case is designing tariff for customers. Electricity providers have been given new degrees of freedom in defining tarif...

This paper addresses the self-scheduling of a price-taker hydro generating company in a pool-based electricity market. This company comprises several cascaded hydro plants along a river basin. The goal is maximizing the profit of company from participating in the day-ahead energy and ancillary service markets. The spinning reserve and regulation se...

This paper addresses the problem of optimal operation scheduling of an individual pumped-storage plant to participate in the energy and regulation markets simultaneously. The goal is achieving of the maximum expected profit when the plant participates in a day-ahead (DA) energy and regulation markets while all of the technical constraints are satis...

Demand side management (DSM) is one of the most important methods which has been used to maximize the benefits of the electric power market participants. In the deregulated power systems, DSM is called demand response (DR). In this paper, two DR programs have been focused: time-of-use (TOU) and emergency demand response program (EDRP). In this pape...

In deregulated electricity markets, reactive power is one of the ancillary services that is provided by the Independent System Operator (ISO). In this paper we propose a new algorithm to ‘tune’ reactive power resources with the objectives of minimizing active power losses and optimizing system voltage profile and stability. In our solution, we assu...

Network expansion planning (NEP), as a major module of power system planning modules, is addressed here. For long-term transmission NEP, a new approach based on forward-backward strategy is proposed in which by denning appropriate steps and observing various technical and reliability considerations, new network reinforcements are determined. Beside...

This paper is concerned with the nodal prices in a competitive electricity market based on the pool parading when the industrial loads are statistically modeled. Specifically it addresses the impact of static load modeling on the active and reactive marginal costs, while loads are varying. Based on nodal pricing theory of marginal costs, an approac...

The paper proposes a new approach in which artificial neural network (ANN) is employed to find out the sensitivity coefficients of motor loads; active and reactive; in terms of voltage and frequency by using readily available nameplate data. The. results are then used in a static type aggregate load modeling algorithm. Promising results are demonst...

Reactive power planning has received considerably attention during the last few years. Allocation of reactive power resources of both static (ex. switchable capacitors and/or reactors) and dynamic (ex. static VAr compensators, or SVCs) types can have major impacts on voltage security (i.e. voltage profile and stability) and active power losses. The...

Electric energy wheeling is one of current industrial practices. Based on nodal pricing theory of marginal cost, an approach is proposed in this paper in which the transition costs of both active and reactive powers are calculated. The effects of consumer load modeling are also observed both in the optimization procedure and the results. The propos...

In a new de-regulated power industry, the Independent System Operator (ISO) provides open access; to transmission System; for all existing transactions. For a reliable operation, ISO is also responsible for providing ancillary services one of which is reactive power requirement. In this paper a new reactive power pricing strategy for an open access...