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mohammadi--ehsan
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Time-varying acceleration coefficients IPSO for solving dynamic economic dispatch with non-smooth cost function
, Article Energy Conversion and Management ; Volume 56 , 2012 , Pages 175-183 ; 01968904 (ISSN) ; Rabiee, A ; Ehsan, M ; Sharif University of Technology
2012
Abstract
The objective of the dynamic economic dispatch (DED) problem is to schedule power generation for the online units for a given time horizon economically, satisfying various operational constraints. Due to the effect of valve-point effects and prohibited operating zones (POZs) in the generating units cost functions, DED problem is a highly non-linear and non-convex optimization problem. The DED problem even may be more complicated if transmission losses and ramp-rate constraints are taken into account. This paper presents a novel and heuristic algorithm to solve DED problem of generating units, by employing time varying acceleration coefficients iteration particle swarm optimization...
Application of information-gap decision theory to risk-constrained self-scheduling of GenCos
, Article IEEE Transactions on Power Systems ; Volume 28, Issue 2 , 2013 , Pages 1093-1102 ; 08858950 (ISSN) ; Zareipour, H ; Amjady, N ; Ehsan, M ; Sharif University of Technology
2013
Abstract
In a competitive electricity market, a generation company (GenCo) optimizes its operation schedules, referred to as self-scheduling, in order to maximize its profit. However, various sources of uncertainty, such as market price fluctuations or forced outage of generating units, may impact the GenCo's profit. In this paper, a non-probabilistic information-gap model is proposed to model the uncertainties in short-term scheduling of a GenCo. The self-scheduling problem is formulated for risk-neutral, risk-averse, and risk-seeker GenCos. Robustness of the decisions against low market prices are evaluated using a robustness model. Furthermore, windfall higher profit due to unpredicted higher...
Imperialist competitive algorithm for solving non-convex dynamic economic power dispatch
, Article Energy ; Volume 44, Issue 1 , 2012 , Pages 228-240 ; 03605442 (ISSN) ; Rabiee, A ; Soroudi, A ; Ehsan, M ; Sharif University of Technology
2012
Abstract
Dynamic economic dispatch (DED) aims to schedule the committed generating units' output active power economically over a certain period of time, satisfying operating constraints and load demand in each interval. Valve-point effect, the ramp rate limits, prohibited operation zones (POZs), and transmission losses make the DED a complicated, non-linear constrained problem. Hence, in this paper, imperialist competitive algorithm (ICA) is proposed to solve such complicated problem. The feasibility of the proposed method is validated on five and ten units test system for a 24 h time interval. The results obtained by the ICA are compared with other techniques of the literature. These results...
Economic impact of price forecasting inaccuracies on self-scheduling of generation companies
, Article Electric Power Systems Research ; Volume 81, Issue 2 , February , 2011 , Pages 617-624 ; 03787796 (ISSN) ; Zareipour, H ; Ehsan, M ; Amjady, N ; Sharif University of Technology
2011
Abstract
This paper studies the economic impact of using inaccurate price forecasts on self-scheduling of generation companies (GenCos) in a competitive electricity market. Four alternative sets of price forecasts are used in this study which have different levels of accuracy. The economic impact of price forecast inaccuracies is calculated by comparing the economic benefits of the GenCos in two self-scheduling scenarios. In the first scenario, electricity market price forecasts are used to optimally schedule the GenCos' next day operation. In the second scenario, perfect price forecasts, i.e., actual market prices, are used for self-scheduling of the GenCos. Two indices are utilized to quantify the...
Iteration PSO with time varying acceleration coefficients for solving non-convex economic dispatch problems
, Article International Journal of Electrical Power and Energy Systems ; Volume 42, Issue 1 , November , 2012 , Pages 508-516 ; 01420615 (ISSN) ; Rabiee, A ; Soroudi, A ; Ehsan, M ; Sharif University of Technology
2012
Abstract
This paper presents a novel heuristic algorithm for solving economic dispatch (ED) problems, by employing iteration particle swarm optimization with time varying acceleration coefficients (IPSO-TVAC) method. Due to the effect of valve-points and prohibited operation zones (POZs) in the generating units' cost functions, ED problem is a non-linear and non-convex optimization problem. The problem even may be more complicated if transmission losses are taken into account. The effectiveness of the proposed method is examined and validated by carrying out extensive tests on three different test systems. Valve-point effects, POZs, ramp-rate constraints and transmission losses are modeled. Numerical...
Dynamic Simulation of Divided Wall Columns and Investigating Their Control Strategies
, M.Sc. Thesis Sharif University of Technology ; Shahrokhi, Mohammad (Supervisor) ; Vafa, Ehsan (Supervisor)
Abstract
Because of lower energy consumption and lower capital cost, divided wall columns attracted wide attention. The main challenge of these units is their controllability. In this thesis dynamic simulation and control of a divided wall column is investigated and an adaptive model predictive controller has been used for control purpose. For dynamic simulation the Aspen Dynamics software and for applying control strategy the MATLAB software have been utilized. The model used for model predictive controller has been obtained by using open loop responses of the system. The main advantage of presented work over the existing ones is using the input-output transfer function of the system model instead...
Design and Investigation of Model Predictive Controllers based on Analog Circuits
, M.Sc. Thesis Sharif University of Technology ; Pishvaie, Mahmoud Reza (Supervisor) ; Vafa, Ehsan (Supervisor)
Abstract
Model Predictive Controllers are one of the most powerful control strategies. This type of controller operates on the basis of optimizing an objective function. In some control problems, model predictive controllers cannot be used due to the high number of optimization variables and high sampling rate. In order to be able to use this type of controllers in these systems, solutions have been proposed, one of which is to perform the optimization using analog computation. In this thesis, it is assumed that the optimization problem is linear or quadratic programming, and for each of these optimization problems, analog architectures are presented that perform the optimization based on analog...
Short Term Scheduling of Gencos eith Renewable Units for Participation in Electricity Market
, Ph.D. Dissertation Sharif University of Technology ; Ehsan, Mehdi (Supervisor) ; Shahidehpour, Mohammad (Co-Advisor) ; Mohammadi Ivatloo, Behnam (Co-Advisor)
Abstract
Restructuring in the electrical industry, is one of the most important change in this industry which cause profit based decision making in all parts of the electrical network, especially in the generation part. In a real incomplete market environment, uncertainties associated with input parameters of the GenCos’ self-scheduling problem such as market price and accessible renewable generation would be one of the most important factors that affects the profits of GenCos and energy resources. Nowadays, increased use of distributed energy resources (DERs) such as distributed generations (DGs), energy storage units, and demand response, has led to a paradigm shift within the electric power...
Short-term Scheduling of Generation Units Considering Effective Uncertainties and Their Economic Effects
, Ph.D. Dissertation Sharif University of Technology ; Ehsan, Mehdi (Supervisor) ; Amjady, Nima (Co-Advisor) ; Zareipour, Hamid Reza (Co-Advisor)
Abstract
The objective of the short-term scheduling of generation units has been changed with the restructuring of power systems. Minimizing the total operation cost while satisfying system operation constraints is the main objective of short-term scheduling of generation units in an integrated or centralized power system. Unlike the vertically integrated power systems, the main objective of Generation Company (GenCO) is maximizing the total profit in the restructured system. Two new approaches, called time varying acceleration coefficients iteration particle swarm optimization (TVAC-IPSO) and Imperialist Competitive Algorithm (ICA) are proposed to solve power systems static and dynamic economic...
Genco's Bidding Strategy in Day-Ahead Energy Market Considering Demand Response
, M.Sc. Thesis Sharif University of Technology ; Ehsan, Mehdi (Supervisor)
Abstract
Since 1980s the electricity market has been gradually evolving from a monopoly market into a liberalized one for encouraging competition and improving efficiency. This brings the opportunity for generation companies (Gencos) to make more profits while embracing more risks of not being dispatched. Therefore, it has become a core interest for the Gencos to develop optimal bidding strategies to maximize the profits and minimize the risks while participating in such a competitive market. Error of determining day-ahead electricity price is one of the sources of the risk. Energy price has a high impact on bidding strategy optimization process. So it should be determined with low error which is not...
Multi Objective Distributed Generation Planning in a Flexible Environment
, Ph.D. Dissertation Sharif University of Technology ; Ehsan, Mehdi (Supervisor)
Abstract
The process of deregulation that has involved electricity many markets has introduced several new interesting research topics in power system area. This thesis addresses one of the most fascinating issues among them: the study of distributed generation both renewable and conventional integration in distribution networks. From the distribution network operator (DNO)'s point of view, it is of interest to develop a comprehensive methodology which considers various distributed generation technologies as an option for supplying the demand in distribution networks. In this thesis, the planning problem has been multi-objectively modeled. This will help the planner in decision making while knowing...
, M.Sc. Thesis Sharif University of Technology ; Ehsan, Mehdi (Supervisor)
Abstract
Losses are unavoidable in any parts of power systems, from generation to receiving nodes and occur in transmission and distribution networks. However, the main loss component is produced in distribution networks. Energy losses in distribution networks are about 70% of technological transport energy losses.
Energy losses in distribution networks are an important indicator for the planning and operation of the system. A fast, reliable and accurate energy loss calculation method is required for optimal operation of the distribution networks.
Energy loss depends on network's operating conditions. Loads values and loads factors are time variables; therefore, methods based on probability...
Energy losses in distribution networks are an important indicator for the planning and operation of the system. A fast, reliable and accurate energy loss calculation method is required for optimal operation of the distribution networks.
Energy loss depends on network's operating conditions. Loads values and loads factors are time variables; therefore, methods based on probability...
Methods of Clearing Reactive Power Market and Cost Allocation in Pool Structure
, M.Sc. Thesis Sharif University of Technology ; Ehsan, Mehdi (Supervisor)
Abstract
Restructuring and privatization in power system such as any industry leads to better market operation and more social welfare. Since two decade the power system in many countries have changed from monopoly to free market. In a restructured network the technical and economical aspects should be considered together. Ancillary services are needed for any power system to be operated in an optimal and secure manner. Reactive power and voltage regulation is one of the most important ancillary services in the network. this service should be supplied by its providers through a competitive market and system operator determines the optimal dispatch among different bids. The cost of purchasing reactive...
Dynamic Security Assessment in Restructured Power Systems
, Ph.D. Dissertation Sharif University of Technology ; Ehsan, Mahdi (Supervisor)
Abstract
This thesis addresses the problem of dynamic security assessment in power sys-tems with an emphasis on its application in restructured power systems and issues arising in its applications. The new electric utility environment has an immedi-ate consequence of emphasis on reliability and secure operation of power systems. This requires faster and more precise methods to assess the dynamic aspect of se-curity. On the other hand, this issue is becoming challenging when the determined dispatch might not be accommodated due to violation of the limits.This thesis addresses the problem of dynamic security assessment in power sys-tems with an emphasis on its application in restructured power systems...
Optimal Sizing and Operation of CHP Based on Stochastic Programming
, M.Sc. Thesis Sharif University of Technology ; Ehsan, Mehdi (Supervisor)
Abstract
CHP (Combined Heat and Power) generates electricity and thermal energy simultaneously from input fuel. Since it has high energy efficiency and low installation time, it is an appropriate approach in energy management of residential complexes. In this project, stochastic programming based on Monte Carlo approach is used to handle uncertainties in the optimal sizing of CHP for residential complexes. Availability of CHP, boiler and AC bus as well as the electrical and thermal load forecast errors are considered as stochastic variables. Minimizing system total cost considering the probability of each scenario obtained from the scenario reduction algorithm is the objective function. The system...
Planning of Energy Storage Systems with the Main Goal of Managing the Output Power of Wind Farms
, M.Sc. Thesis Sharif University of Technology ; Ehsan , Mehdi (Supervisor)
Abstract
Uncertain fuel prices and also global climate changes are accompanied by some state initiatives such as renewable portfolio standards (RPS). This has caused a fast growth in the amount of renewable energy installed worldwide especially wind energy over last decades. However, the intrinsic characteristics of wind farms output power, i.e. intermittency and volatility of wind speed along with being non-dispatchable in output generation of wind turbine raises many new technical and financial challenges for power system operators and planners. Up to these issues, large level of wind power penetration causes a growing concern in wind energy curtailment issue which the wind farm’s operator may be...
Retailer’s Medium-term Planning in Distribution Network Considering Uncertainty and Competitive Enviroment
, Ph.D. Dissertation Sharif University of Technology ; Ehsan , Mehdi (Supervisor)
Abstract
Electricity retailers are one of the power market entities which act as an intermediary between the producers in the wholesale market and the consumers in the retail side. The main task of a retailer in the power market is to set contract with the consumers to supply their electricity during a pre-specified time period and to participate in the wholesale market to supply the electricity needed by its costomers. Retailer’s contract with its customers may be a simple contract with a fixed pre-determined energy price or include some more complicated feathures such as involvement of a percent of green energy or variable price and demand response contracts. Moreover, retailer can supply its...
Scheduling of Retailers Performance in Electrical Energy Markets with Energy Production;Sell in Pool Market; and Demand Response Policies
, M.Sc. Thesis Sharif University of Technology ; Ehsan, Mehdy (Supervisor)
Abstract
Recent years of capitalism bold role and the competitive environment of variant fields of our life, sparking the idea which considers the electricity (one of the most crucial human requirement) as a commodity of a competitive market to be traded between confident subscribers by easy access. Therefore, by converting the exclusive structure of electricity supply system to a competitive one, some new roles are created to fulfill the electricity generation, transmission and distribution processes. Retail is one of the new roles, defined as a power system restructuring development helper by support of electricity trading, which can be involved in different transactions according to the market...
Linked Planning of Power Grids and Subsidy Policies on Using Photovoltaic Cells for Residential Electricity Supply
, M.Sc. Thesis Sharif University of Technology ; Ehsan, Mehdi (Supervisor)
Abstract
In recent years, due to restructuring in the electric power industry, distributed generation has become one of the most important subjects and DGs and renewable energy sources have been increasingly expected as a supplement and an alternative to a conventional large scale central power system. their success depends not only on the distribution of the available renewable energy sources in a region but also on the power grids connectable capacity in the area. Photovoltaic system is one of the best RESs for residential electricity supply because it is noiseless and solar power is widely available and households can use it via photovoltaic cells in their homes. There are two major problems...
Bidding and Offering Strategy of Hybrid Electric Companies in Day-ahead Energy Market
, Ph.D. Dissertation Sharif University of Technology ; Ehsan, Mehdi (Supervisor)
Abstract
This Thesis presents a new approach for determining the day-ahead bidding strategies of a hybrid electric energy company. The company has both energy generation and energy retailing businesses in a competitive electricity market. Demand response programs are also considered in the retail side of the company in order to hedge the risk of participation in wholesale market. Price-taker and price maker companies are considered in this thesis separateky.For the price-taker hybrid structure, the predivtion of day-ahead prices are used to evaluate the optimum bidding and offering strategies. Also, day-ahead market price uncertainty is modeled, using non-probabilistic Information Gap Decision Theory...