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economic-dispatch
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Energy Management of a Residential Prosumer Employing Machine Learning Techniques
, M.Sc. Thesis Sharif University of Technology ; Moeini Eghtaei, Moein (Supervisor)
Abstract
This thesis proposes an energy management model for a residential prosumer building which is a multi-carrier energy hub in a grid-connected mode. Power may be bought and sold between the building energy system and the power grid. Solar panels and solar water heaters are integrated into the building's energy system to create electricity and heat, which may be used in a variety of ways: used immediately to meet the home's demands, stored in batteries and heat banks for later use, or sold back to the power grid to earn income. The energy dispatch is managed such that the overall energy consumption cost is minimized, considering the variation in electricity price (grid tariff), renewable energy...
Security Constraint Unit Commitment With Wind Power Uncertainty By Stochastic Programming
, M.Sc. Thesis Sharif University of Technology ; Hosseini, Hamid (Supervisor)
Abstract
Economic aspects of power systems in their new structures, have been the subject of most of new publications in the area of electrical engineering after the era of restructuring. Nowadays, the power generation business is totally market driven in most of countries all around the world and the system operators are responsible for maintaining a high level of system security as well as the economic operation of the power systems. The development of wind power generation has rapidly progressed over the last decade. With the advancement in wind turbine technology, wind energy has become competitive with other fuel-based resources. The fluctuation of wind, however, makes it difficult to optimize the...
Security-Constraint Unit Commitment Using Classical And Hybrid Methods
, M.Sc. Thesis Sharif University of Technology ; Ehsan, Mehdi (Supervisor) ; Rashidi-Nejad, Masoud (Supervisor)
Abstract
Fast growing load in power systems associated with a large gap between heavy load and light load periods, generation scheduling and unit commitment (UC) problem has become a crucial issue in Scheduling time horizon. In a vertically integrated power system, unit commitment determines when to start-up or shut-down units and how to dispatch online generators over a given scheduling horizon in order to minimize the operating costs. Therefore main objective of this thesis is selected as unit commitment considering ramp rate, emission and line flow constraints. In this thesis four main works has been done: at first generation scheduling considering next hour is done which may yield to increase...
Multiagent genetic algorithm: An online probabilistic view on economic dispatch of energy hubs constrained by wind availability
, Article IEEE Transactions on Sustainable Energy ; Vol. 5, issue. 2 , 2014 , p. 699-708 ; ISSN: 19493029 ; Dehghanian, P ; Fotuhi-Firuzabad, M ; Abbaspour, A ; Sharif University of Technology
Abstract
Multiple energy carriers (MECs) have been broadly engrossing power system planners and operators toward a modern standpoint in power system studies. Energy hub, though playing an undeniable role as the intermediate in implementing the MECs, still needs to be put under examination in both modeling and operating concerns. Since wind power continues to be one of the fastest-growing energy resources worldwide, its intrinsic challenges should be also treated as an element of crucial role in the vision of future energy networks. In response, this paper aims to concentrate on the online economic dispatch (ED) of MECs for which it provides a probabilistic ED optimization model. The presented model...
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...
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
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...
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...
Energy storage in renewable-based residential energy hubs
, Article IET Generation, Transmission and Distribution ; Volume 10, Issue 13 , 2016 , Pages 3127-3134 ; 17518687 (ISSN) ; Fotuhi Firuzabad, M ; Rajabi Ghahnavieh, A ; Moeini Aghtaie, M ; Sharif University of Technology
Institution of Engineering and Technology
Abstract
Energy storage systems are expected as a near-term solution for renewable energy application in the residential energy hubs. Within this context, this study investigates the feasibility of using storage systems in improving the technical and financial performance of the residential renewable-based energy hub. A new approach has been proposed in this study in which economic dispatch problem has been formulated for an energy hub including both electrical and heat storage system. The proposed approach determines the optimal supply of energy demand and storage system operation to minimise the total energy cost of the hub. The economic benefit of storage system due to energy cost saving and...
A multi-operator Imperialist Competitive Algorithm for solving Non-Convex Economic Dispatch problem
, Article Indian Journal of Science and Technology ; Volume 9, Issue 6 , 2016 ; 09746846 (ISSN) ; Nabati Rad, M ; Hassani, R ; Sharif University of Technology
Indian Society for Education and Environment
Abstract
Non-Convex Economic Dispatch (NED) has been addressed as an open and demanding optimization problem in power systems. Due to the fact that realistic ED problems have non-convex cost functions with equality and inequality constraints, conventional search methods are unable to effectively find the global solution. In recent years, because of their great potential to achieve optimal or close-to-optimal solution, meta-heuristic optimization techniques have attracted significant attention to tackle the complexity of NED problems. In this paper, an efficient approach is proposed based on Imperialist Competitive Algorithm (ICA). The proposed algorithm named multi-operator ICA (MuICA) merges the...
A novel mathematical-heuristic method for non-convex dynamic economic dispatch
, Article International Review of Electrical Engineering ; Volume 4, Issue 1 , 2009 , Pages 108-113 ; 18276660 (ISSN) ; Salehi Dobakhshari, A ; Jalayer, R ; Sharif University of Technology
2009
Abstract
Dynamic economic dispatch (DED) determines system generation schedule in a specified time interval to meet load demand at each hour while satisfying generation system constraints. DED considering valve-point effects is a non-convex optimization problem and therefore conventional mathematical methods fail to solve this problem. This paper presents a hybrid gradient search - near optimal search method to solve the DED problem considering valve-point effects of generating units. Local minima obtained by Gradient Search Method (GSM) are utilized by a novel Near Optimal Search (NOS) method to find the global optimum of the DED problem. The efficiency and feasibility of the proposed method and its...
A novel unit commitment technique considering prohibited operating zones
, Article Journal of Applied Sciences ; Volume 9, Issue 16 , 2009 , Pages 2962-2968 ; 18125654 (ISSN) ; Rashidi Nejad, M ; Abdollahi, A ; Sharif University of Technology
2009
Abstract
The aim of this study is to show the effectiveness of prohibited operating zone. Generation scheduling is a crucial challenge in power systems especially under new environment of liberalization of electricity industry. This study is focused on the economical aspect of unit commitment problem. Since, the generating units may have certain ranges where operation is restricted based upon physical limitations of machine components or instability. Therefore, Prohibited Operating Zones (POZ) as a redundant constraint is considered, while the next load demand as a very important issue is deliberated. In this study generation scheduling of each hour is conducted by considering the next load demands...
Cost-based unit commitment considering prohibited zones and reserve uncertainty
, Article International Review of Electrical Engineering ; Volume 4, Issue 3 , 2009 , Pages 425-433 ; 18276660 (ISSN) ; Ehsan, M ; Rashidinejad, M ; Pourakbari Kasmaei, M ; Sharif University of Technology
2009
Abstract
Generation scheduling is a crucial challenge in power systems especially under new environment of liberalization of electricity industry. This paper is focused on the economical aspect of UC problem, while the next load demand as a very important issue and prohibited operation zones and spinning reserve uncertainty as practical constraints have been taken in to account. The impacts of hot/cold start-up cost have been considered in this paper. Numerical results show a significant improvement in the solutions of a cost-based unit commitment in comparison with the other studies. © 2009 Praise Worthy Prize S.r.l
Operation of multi-carrier microgrid (MCMG) considering demand response
, Article Journal of Operation and Automation in Power Engineering ; Volume 7, Issue 1 , 2019 , Pages 119-128 ; 23224576 (ISSN) ; Jadid, S ; Ehsan, M ; Sharif University of Technology
University of Mohaghegh Ardabili, Faculty of Electrical Engineering
2019
Abstract
In this paper, the operation of a future distribution network is discussed under the assumption of a multi-carrier microgrid (MCMG) concept. The new model considers a modern energy management technique in electricity and natural gas networks based on a novel demand side management (DSM) which the energy tariff for responsive loads are correlated to the energy input of the network and changes instantly. The economic operation of MCMG is formulated as an optimization problem. In conventional studies, energy consumption is optimized from the perspective of each infrastructure user without considering the interactions. Here, the interaction of energy system infrastructures is considered in the...
Operation of networked multi-carrier microgrid considering demand response
, Article COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering ; Volume 38, Issue 2 , 2019 , Pages 724-744 ; 03321649 (ISSN) ; Jadid, S ; Ehsan, M ; Sharif University of Technology
Emerald Group Publishing Ltd
2019
Abstract
Purpose: Microgrids are inclined to use renewable energy resources within the availability limits. In conventional studies, energy interchange among microgrids was not considered because of one-directional power flows. Hence, this paper aims to study the optimal day-ahead energy scheduling of a centralized networked multi-carrier microgrid (NMCMG). The energy scheduling faces new challenges by inclusion of responsive loads, integration of renewable sources (wind and solar) and interaction of multi-carrier microgrids (MCMGs). Design/methodology/approach: The optimization model is formulated as a mixed integer nonlinear programing and is solved using GAMS software. Numerical simulations are...
Optimized water consumption considering power plants efficiency in power system generation
, Article 2019 IEEE International Conference on Industrial Technology, ICIT 2019, 13 February 2019 through 15 February 2019 ; Volume 2019-February , 2019 , Pages 673-678 ; 9781538663769 (ISBN) ; Badakhshan, S ; Azizivahed, A ; Li, L ; Chen, L ; Huang, Q ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2019
Abstract
In order to generate adequate electricity energy, conventional power plants utilize dramatic volume of water resources. Different methods such as replacing cutting-edge technologies of facilities have been proposed to diminish water consumption in this industry. Most of the approaches are considered as medium or long-term solution which requires substantial investment costs. Meanwhile, because of the process and technology, natural gas-fired power plants need less water among conventional power plants. Therefore, shifting unit commitment planning toward these power plants would aid to save water consumption. Nevertheless, overlooking combined cycle power plants can perform negative impact on...
Estimating abilities of distributed energy resources in providing flexible ramp products for active distribution networks
, Article Sustainable Cities and Society ; 2020 ; Salehi, J ; Moeini Aghtaie, M ; Sharif University of Technology
Elsevier Ltd
2020
Abstract
Growing demand for flexible ramp products (FRPs) to maintain the power balance in active distribution networks (ADNs) has expanded the use of costly fast-start generators in the upstream real-time market. In order to limit the power system's reliance on these units, it is necessary to establish new sources for providing ADNs with FRPs. In this context, the present paper examines the abilities of distributed energy resources (DERs) and active loads for supplying the ramp capacity demands of ADNs. Accordingly, a local real-time market was established in the ADN, empowering several DERs and active loads to provide the network's FRPs demands. The proposed market was formed in the context of a...
Modified power reserve management solution in power system considering frequency constraints
, Article IEEE Systems Journal ; Volume 14, Issue 1 , 2020 , Pages 1125-1134 ; Toulabi, M ; Ashouri Zadeh, A ; Ranjbar, A. M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2020
Abstract
In this paper, security constrained reserve management (SCRM) problem is formulated. In this trend, security constrained economic dispatch as well as operating reserve in both normal and {N-1} contingency condition are considered. To address the computational complexity associated with the SCRM problem, the distributed-SCRM (D-SCRM) is proposed. In the suggested method, the power system is decomposed to several subsystems called zone. These zones are interconnected via some tie-lines. By defining two virtual generation units at the middle of each tie-line, all neighbor zones become isolated. This causes the main SCRM problem to be converted to some subproblems. To solve these subproblems,...
Fuzzy economic dispatch and spinning reserve allocation using evolutionary programming
, Article 40th North American Power Symposium, NAPS2008, Calgary, AB, 28 September 2009 through 30 September 2009 ; 2008 ; 9781424442836 (ISBN) ; Motamedi, A ; Sadati, N ; Fallahi, K ; Fathi, B ; Sharif University of Technology
2008
Abstract
The objective of economic dispatch (ED) problem is minimizing the operating cost and finding the point where the total output of the generations equals the total power that must be delivered. In that point the incremental cost of power generation is also equal for all generators. Considering the presence of uncertainty and inaccuracy in the data, fuzzy set theory is an appropriate method to solve the economic dispatch problems. In this paper, a modified fuzzy economic dispatch is formulated to solve the problem under the competitive electricity market uncertainties. Also, available spinning reserve is optimally allocated to market participants. The formulated optimization problem it then...
A novel multi-agent evolutionary programming algorithm for economic dispatch problems with non-smooth cost functions
, Article 2007 IEEE Power Engineering Society General Meeting, PES, Tampa, FL, 24 June 2007 through 28 June 2007 ; July , 2007 ; 1424412986 (ISBN); 9781424412983 (ISBN) ; Hosseini, S. H ; Sharif University of Technology
2007
Abstract
This paper presents a new approach to economic dispatch (ED) problem with non-continuous and non-smooth cost functions using a hybrid evolutionary programming (EP) algorithm. In the proposed method the concept of multi-agent (MA) systems and EP are integrated together to form a new multi-agent evolutionary programming (MAEP) approach. In MAEP, an agent represents a candidate solution to the optimization problem in hand, and all agents live together in a global environment. Each agent senses its local environment, competes with its neighbors, and also learns by using its own knowledge. MAEP uses these agent-agent interactions and the evolutionary mechanism of EP to obtain the optimal...
Unit commitment using particle swarm-based-simulated annealing optimization approach
, Article 2007 IEEE Swarm Intelligence Symposium, SIS 2007, Honolulu, HI, 1 April 2007 through 5 April 2007 ; 2007 , Pages 297-302 ; 1424407087 (ISBN); 9781424407088 (ISBN) ; Hajian, M ; Zamani, M ; Sharif University of Technology
2007
Abstract
In this paper, a new approach based on hybrid Particle Swarm-Based- Simulated Annealing Optimization (PSO-B-SA) for solving thermal unit commitment (UC) problems is proposed. The PSO-B-SA presented in this paper solves the two sub-problems simultaneously and independently; unit-scheduled problem that determines on/off status of units and the economic dispatch problem for production amount of generating units. Problem formulation of UC is defined as minimization of total objective function while satisfying all the associated constraints such as minimum up and down time, production limits and the required demand and spinning reserve. Simulation results show that the proposed approach can...