Abdollah Ahmadi

• PhD
• UNSW Sydney

This paper proposes a novel method based on information gap decision theory to evaluate a profitable operation strategy for combined heat and power units in a liberalized electricity market. Risk levels can be assessed using this technique, taking into consideration whether the generation company is either risk-taking or risk averse. The test syste...

The capacity of installed photovoltaic cells (PVs) has been remarkably increased globally over past few decades. In addition, changing cloud cover (Oktas-scale) is an important component that influences on solar radiation hourly and plays a key role in electrical output power of PVs. However, it is necessary for electrical utilities to use a powerf...

Current power networks and consumers are undergoing a fundamental shift in the way traditional energy systems were designed and managed. The bidirectional peer-to-peer (P–P) energy transactions pushed passive consumers to be prosumers. The future smart grid or the internet of energy (IoE) will facilitate the coordination of all types of prosumers t...

In this paper, the optimal design and energy management of the hybrid systems including the photovoltaic (PV) panels, wind turbine (WT) and fuel cell (FC) based on hydrogen storage (HS) (PWFHS) are presented to minimize the total net present cost (TNPC) of northwest region of Iran using intelligent flower pollination algorithm (FPA). The reliabilit...

This paper proposes a robust framework for the security-constrained unit commitment (SCUC) of generating units, in the presence of lithium-ion battery energy storage units, using the information-gap decision theory (IGDT) technique. In the suggested model, the degradation cost of the battery storage units has been considered in the objective functi...

The key role of hydrogen stations (HSs) is to produce hydrogen and deliver it to hydrogen demands. Offering too high prices by HSs decreases their demand and profit; while offering too low prices decreases their revenue and thereby their profit. In literature, optimal pricing of hydrogen has not been done for HSs. In this research, a risk-averse tw...

In recent years, due to the increase in electricity consumption and environmental problems, power system expansion planning requires new technologies. In this regard, the incorporation of renewable energy sources (RESs) and utilization of demand response (DR) programs need disruptive variations in the present power system configurations. This paper...

Demand-side management (DSM) includes various persuasive measures to improve the use of energy; thus, it has been studied from various perspectives in the literature. Nowadays, the context of productivity has an important role in the evaluation of the electrical energy systems. Accordingly, this paper presents a platform to comprehensively contempl...

Smart power grids are transitioning towards effective employment of distributed energy resources including renewable energy sources to address the growing environmental concerns related to the pollutant emissions of fossil fuels. In this context, this paper proposes the directed search domain (DSD) method to compute the combined environmental and e...

The accumulation of many production units with small capacities and transforming them into a larger entity will make them visible in electricity market. Renewable based virtual power plant (VPP) in this paper is a wide energy management system that incorporates probabilistic wind and solar units, non-renewable Distributed Generation (DG) units, and...

In this study, optimal allocation and planning of power generation resources as distributed generation with scheduling capability (DGSC) is presented in a smart environment with the objective of reducing losses and considering enhancing the voltage profile is performed using the manta ray foraging optimization (MRFO) algorithm. The DGSC refers to r...

The main goal of generation expansion planning (GEP) and transmission expansion planning (TEP) is to expand the power system to satisfy the increasing demand of electricity while maintaining efficient operation of the system. The major objective of this study is to propose a dynamic, robust GEP–TEP expansion planning in the presence of wind farms c...

This study deals with multiobjective reactive power planning, considering the uncertainties of load demand and wind power generation. The main feature of the current study is to examine the impact of multiple uncertainties on Reactive Power Planning (RPP), while several objectives exist. To fulfill this goal, the Information Gap Decision Theory (IG...

The high penetration of renewable energy resources presents many challenges to the grid, such as frequency and voltage instability and system dispatching. Therefore, it is necessary that the volatile and randomized power challenges of these resources be solved in such a way that the stability of the power system is not compromised and that these re...

Recently, renewable energy resources and their impacts have sparked a heated debate to resolve the Australian energy crisis. There are many projects launched throughout the country to improve network security and reliability. This paper aims to review the current status of different renewable energy resources along with their impacts on society and...

With the growing use of motorized loads, light bulbs, and solar cells, the use of electrical equipment with nonlinear behavior increases the harmonic level of currents and voltages in electrical distribution networks. As a result, analysis of distorted harmonic systems and calculation of overpaying on bills (penalties) due to harmonics consequences...

This paper presents the application of information gap decision theory (IGDT) to deal with uncertainties associated with load forecasting in dynamic, environment constrained, coordinated generation and transmission expansion planning. Traditionally, the gaseous emissions are constrained over the whole system. Conventional methods cannot guarantee a...

Wind energy is one of the most important sources of energy in the world. Inrecent decades, wind as one of the massive marine energy resources in the oceanto produce electricity has been used. This chapter introduces a comprehensiveoverview of the efficient ocean wind energy technologies, and the global windenergies in both offshore and onshore side...

Renewable energies and electric vehicles are introduced as promising solutions to save energy costs and reduce environmental impacts in microgrid systems. However, the uncertainty of such resources would necessitate the development of advanced management models for optimal operation of microgrids. To address this issue, this paper proposes a new mo...

This article proposed a new model for reconfiguration and distributed generation (DG) allocation in the distribution network by considering network loss reduction and power quality improvement. The objective function aims to minimize losses and improve power quality indices by using the new antlion optimizer (ALO) algorithm. The proposed reconfigur...

The aim of this paper is the scientometric analysis of articles on "scheduling in renewable energy" that have been published between 2000 and 2017. For this purpose, the terms "scheduling in renewable energy" and "unit commitment in renewable energy" have been searched. We have found 1009 articles in the Scopus database which include the terms ment...

Without a doubt, many remote areas have a hidden potential of energy, which can be considered for electricity production. Indeed, energy supply for remote areas is one of the most critical targets of SDGs BY the 2030 year. Based on this explanation, this paper presents a techno-economic analysis of hybrid energy systems installable for two capital...

Microgrids propose multiple control strategies to operate power electronic converters that interconnect distributed energy resources with electrical power systems. What is needed and addressed in this book is a well-founded mathematical analysis on how to technically and economically optimize microgrids via distributed energy resource integration....

The global warming problem together with the environmental issues has already pushed the governments to replace the conventional fossil-fuel vehicles with Electric Vehicles (EVs) having less emission. This replacement has led to adding a huge number of EVs with the capability of connecting to the grid. It is noted that the presence of such vehicles...

This paper presents a new framework, utilizing Information-Gap Decision Theory (IGDT), for multi-objective Robust Security-Constrained Unit Commitment (RSCUC) of generating units in the presence of wind farms and gridable vehicles. Both the wind power and load demand uncertainties are considered, and modeled using a bi-objective model. As the main...

Using clean energy sources has contributed to various industries, especially the automotive industry. In this regard, large companies have taken a significant step in the field of renewable energy by introducing Electric Vehicles (EVs). One of the main challenges in the EVs area is evaluating the reliability and safety of these vehicles. Thus, the...

A multi-objective wind farm integration framework is proposed in this paper which considers the composite generation and reliability assessment and annualized operating and investment cost evaluation. An emission-controlled policy is adopted such that the amount of SOx and NOx decreases in line with renewable resource planning. Since the incorporat...

One of methods for loss reduction and reliability improvement of radial distribution system is using of renewable energy generation. In this paper, a new optimal placement and sizing of renewable energy sources based on photovoltaic panels (PVs) and wind turbines (WTs) in the distribution network is presented with the objective of loss reduction an...

Solving optimization problems with multiple uncertainties has always been a challenging task in different scopes of science. While different approaches have been developed to take advantage of the stochastic space of the problem, these methods are intensively dependent of the probabilistic information of various variables which are not always avail...

In this chapter, some common methods of maximum power point tracking (MPPT) of the photovoltaic system such as perturb and observe, particle swarm optimization and grey wolf optimizer are described to solve the MPPT problem. Also, a novel method is proposed for MPPT of PV system titled secant incremental gradient based on Newton Raphson (SIGBNR) me...

The paper presents the info-gap theory for the sake of developing a robust framework for short-term hydrothermal scheduling to tackle severe load uncertainty. Deploying this method, the system operator is provided with a robust decision-making strategy to guarantee the minimum cost under load variation condition while practical and technical limita...

Electric power systems are gradually maturing in the operational and management architecture. The eventual goal of the system operators is to provide more reliable and high-quality energy services in a cost-effective and environmental framework. To that end, new applications and technologies should be innovated and integrated into the system infras...

The use of solar photovoltaic (PV) systems as green renewable sources for electricity generation in modern power networks is steadily increasing. One of the problems with using PV units in developing countries and small companies is access to a simple model to assess the short-time output of a solar cell. For example, a robust model that is capable...

There are different definitions of big data, and among them, the most common definition refers to three or five characteristics, called volume, velocity, variety, value, and veracity from (Laney, 2001). Volume could include terabyte, petabyte, exabyte, and zettabyte. Velocity describes how fast the data are retrieved and processed “Batch or streami...

Microgrids face with various uncertainty resources which may put their reliable and beneficial bidding strategy at risk. In the literature, to handle the uncertainties, distinctive methodologies from fuzzy to stochastic techniques have been implemented widely. However, they dominantly suffer from dependency to the uncertainty models and are highly...

The validated Particle Swarm Optimization (PSO) search and optimization techniques based on dynamic error scaling of the weightings Omega and Delta in speed and position equations are presented in this chapter. The dynamic scaled/corrective action is based on a judicious selection of the error and its rate as well. That ensures efficient search and...

Voltage rise (VR) due to reverse power flow is an important obstacle for high integration of Photovoltaic (PV) into residential networks. This paper introduces and elaborates a novel methodology of an index based single-point-reactive power-control (SPRPC) methodology to mitigate voltage rise by absorbing adequate reactive power from one selected p...

In the last two decades, emerging use of renewable and distributed energy sources in electricity grid has created new challenges for the utility regarding the power quality, voltage stabilization and efficient energy utilization. Power electronic converters are extensively utilized to interface the emerging energy systems (without and with energy s...

In this paper, a robust energy management system is proposed for islanded microgrids, which at the same time considers static modelling of system frequency. The aim of this paper is to manage frequency excursions produced from load and renewable generation fluctuations. In microgrids, the use of inertia-less and small-scale energy resources risks t...

This paper proposes a new approach for preventive/corrective voltage control in smart power systems. Previous researches, which were based on deterministic methods, cannot be applied in the presence of high uncertainty caused by renewable generation and loads. Hence, new frameworks are required to handle the stochastic space of the problem. In this...

One of the most challenging issues in multi-objective problems is finding Pareto optimal points. This paper describes an algorithm based on Benders Decomposition Algorithm (BDA) which tries to find Pareto solutions. For this aim, a multi-objective facility location allocation model is proposed. In this case, an integrated BDA and epsilon constraint...

This research has been developed with the aim of analyzing of the reported results in ‘Differential evolution technique-based short-term economic generation scheduling of hydrothermal systems’ by K.K. Mandal, N. Chakraborty Electric Power Systems Research 78 (2008) 1972–1979. Indeed, that optimization problem did not take into account the storage c...

Flexible ac transmission system series compensation, such as series switched capacitors including gate-controlled series capacitor plays an important role to enhance grid system transfer power, stability, power quality and loss reduction. Gate-controlled series capacitor devices are implemented using fixed or switched capacitor in parallel with a p...

This paper presents a mixed-integer linear robust multiobjective model for the expansion planning of an electric power system. An information-gap decision theory-based framework is proposed to take into account the uncertainties in electrical demand and new power system elements prices. The model is intended to increase the power system resistance...

A new optimization framework based on MILP model is introduced in the paper for the problem of stochastic self-scheduling of hydrothermal units known as HTSS Problem implemented in a joint energy and reserve electricity market with day-ahead mechanism. The proposed MILP framework includes some practical constraints such as the cost due to valve-loa...

This paper presents a methodology to minimize the total cost of buying power from different energy producers including renewable energy generations particularly within the context of a microgrid. The proposed idea is primarily based on the controlled operation of a battery energy storage system (BESS) in the presence of practical system constraints...

This article presents a stochastic model for self-scheduling of a purely hydro generating company participating in the day-ahead joint energy and reverse market aimed at maximizing the profit. In the proposed framework, the mixed-integer non-linear programming of the hydro self-scheduling problem is converted into mixed-integer programming. The hyd...

This study presents a mixed integer linear multi-objective model based on information gap decision theory, which is used to solve coordinated multiyear generation and transmission expansion planning problems. The model maximises the robustness of each uncertain parameter while a maximum allowable budget range is set. Fuel transportation price is co...

Pollutant gas emission concern is one of the most challenging issues in electric power systems putting excessive pressure on different participants of electricity markets. Integrating renewable energy sources and application of Combined Heat-and-Power to thermal power plants which are applied by system operators have many advantages, such as reduci...

This study presents a model of coordinated generation and transmission expansion planning (TEP). The proposed model simultaneously minimises total cost, including planning and total fuel cost, environmental impact in terms of SO2 and NOx emission and fuel price risk while maximising the system reliability. Owing to intermittent behaviour of loads a...

This paper investigates the short-term environmental/economic hydrothermal scheduling problem. The multi-objective optimization framework is proposed to model the Short-term Hydro Thermal Scheduling (SHTS) problem, while two competing objective functions are supposed to be minimized, simultaneously.The first objective function is to minimize the co...

This paper investigates the application of a robust method to solve the problem of Daily Hydrothermal Generation Scheduling (DHGS). The Unit Commitment is implemented in restructured power systems by Independent System Operators to obtain an economic hourly generation schedule intended for the daily-ahead market. The application of Mixed-Integer No...

The objective of the retailer in medium-term planning is managing the portfolio of contracts from different sources as well as determining the optimal selling price offered to its customers. When supplying the elec-tricity sold to the costumers, two main challenges are faced by retailers. The first problem occurs during the electricity procurement...

This paper presents a novel approach to design of PID controller of Load Frequency Control (LFC) in hydro power plant by selection of PID parameters with a new method. In the conventional power systems the automatic generation control (AGC) of hydro power plants has widely used in frequency control due to having the fast response and high capabilit...

This paper discusses the optimal selling price and energy procurement strategies for a retailer in an electricity market [Electric Power Syst. Res. 79 (2009) 246–254] while the optimal strategy of a retailer over a time period is presented to decide on the optimal energy purchase portfolio from several sources.The risk is assessed using linearized...

This paper proposes a new technique based on lexicographic optimization and epsilon-constraint method to solve the combined economic emission scheduling problem of hydrothermal systems comprising several equality constraints as well as non-equality ones. The hydrothermal scheduling problem is modeled as a multi-objective problem with two objective...

In this paper a new approach on hybrid generation and transmission expansion planning in power systems is introduced. The proposed approach presents a multi-objective planning method which simultaneously minimizes total cost of planning (including non-uniform fuel cost and investment cost of new generation units and transmission lines), total NOx a...

In midterm planning, the objective of an electricity retailer is to manage a portfolio of different contracts and determine the selling price offered to its clients. Assuming that, within an electricity market framework, rival retailers compete for prices in order to achieve the largest possible number of clients. In addition, the reasonable criter...

This paper comments on “Resource scheduling under uncertainty in a smart grid with renewables and plug-in vehicles” by [A. Y Saber and G. K. Venayagamoorthy]. There are several computational aspects in this paper that can be made more accurate with respect to the presented formulation and final results. Moreover, the conclusion of this paper contai...

This paper proposes a new technique based on lexicographic optimization and ε-constraint method to solve the combined economic emission scheduling problem of hydrothermal systems comprising several equality constraints as well as non-equality ones. The hydrothermal scheduling problem is modeled as a multi-objective problem with two objective functi...

Abstract—In recent years, combined heat and power units have become significant elements in conventional power stations due their numerous merits, including operational cost savings and reduced emissions. In this regard, this article proposes a short-term multi-objective framework for the combined heat and power economic/emission dispatch problem....

This paper presents the application of Mixed-Integer Programming (MIP) approach for solving the Stochastic Security-Constrained Daily Hydrothermal Generation Scheduling (SCDHGS). The power system uncertainties including generating units and branches contingencies and load uncertainty are explicitly considered in the stochastic programming of SCDHG...

This paper comments on the errors of a recently published paper by Shi B, Yan LX, Wu W Energy 2013; 56: 226e34. The Normal Boundary Intersection (NBI)-based optimization technique has been implemented on a test system and the obtained results have been compared to the ones derived from MLCA (multi-objective line-up competition algorithm). The numer...

This paper presents the application of Mixed-Integer Programming (MIP) approach for solving Daily Hydrothermal Generation Scheduling (DHGS). In restructured power systems, Independent System Operators (ISOs) execute Security-Constrained Unit Commitment (SCUC) program to plan a secure and economical hourly generation schedule for daily/weekly-ahead...

This paper presents the application of mixed-integer programming (MIP) approach for solving the hydro-thermal self scheduling (HTSS) problem of generating units. In the deregulated environment, the generation companies schedule their generators to maximize their profit while satisfying loads is not an obligation. The HTSS is a high dimensional mixe...

The environmental advantage of distributed energy resources (DERs) application has attracted lots of research attention and encouraged to implement clean power producers. In spite of the environmental benefits of renewable energy sources application as distributed power generation, the variability of renewable energy, e.g. wind power uncertainty, c...

In view of the intermittency and uncertainty associated with both the electricity production sector of restructured power system and their competitive markets, it is necessary to develop an appropriate risk managing scheme. So that it is desirable to trade-off between optimum utilization of intermittent generation resources (i.e. renewable energy r...

This paper presents a method for hydro-thermal self scheduling (HTSS) problem in a day-ahead joint energy and reserve market. The HTSS is modeled in the form of multiobjective framework to simultaneously maximize GENCOs profit and minimize emissions of thermal units. In the proposed model the valve loading effects which is a nonlinear problem by it...

This paper proposes a decision-making framework, based on stochastic programming for an electricity retailer operating in a competitive electricity market environment. The operations framework is a two-stage model in which at the first stage, the retailer plans its operation in a day-ahead horizon. This stage is modeled as a stochastic mathematical...

This paper addresses the self-scheduling problem of stochastic unit commitment status for hydro units before submitting the hourly bids for the next 24 hourly periods in a day-ahead joint energy and reserve markets. The proposed model is formulated as a stochastic optimization problem where expected profit is maximized using the Mixed-Integer Progr...

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