Mehdi Mohammadjafari; Reza Ebrahimi; Vahid Parvin Darabad
Volume 08, Issue 04 , December 2019, , Pages 129-136
Abstract
Microgrids (MGs) contain a diverse mix of energy resources to provide safe and secure power to the consumers. Batteries are utilized in MGs for further energy security assurance as well as cost minimization. In this paper, an efficient approach is introduced for simultaneous energy management and optimal ...
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Microgrids (MGs) contain a diverse mix of energy resources to provide safe and secure power to the consumers. Batteries are utilized in MGs for further energy security assurance as well as cost minimization. In this paper, an efficient approach is introduced for simultaneous energy management and optimal battery sizing to accomplish economic MG operation. Also, demand response programs are employed to further reduce MG operation costs (OCs) and strike a balance between supply and demand. The objectives sought in this context are the optimal values for DG generation levels, level of consumer participation and the respective incentive payments, battery charge and discharge levels and the amount of power exchange with upstream network within a 24-hour scheduling cycle so as to minimize OCs and maximize MG operator’s (MGO) profit as a result of demand response. In order to address the hybrid energy management system (EMS) and battery sizing problem, the proposed model is solved using whale optimization algorithm (WOA) in MATLAB software for a grid-connected MG. The results indicate that battery charge and discharge is significantly lowered through optimal battery sizing incorporated into the proposed approach.
javad nikoukar; Majid Khalili
Volume 08, Issue 03 , September 2019, , Pages 93-98
Abstract
Due to the ever-growing load, especially peak load, the increase in the capacity of plants is inevitable for the response to this growth. Peak load causes increases in customer costs and vast investments in generating and transmission parts. Therefore, restructuring in the electrical industry, competition ...
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Due to the ever-growing load, especially peak load, the increase in the capacity of plants is inevitable for the response to this growth. Peak load causes increases in customer costs and vast investments in generating and transmission parts. Therefore, restructuring in the electrical industry, competition in the electrical market and Demand Response Programs (DRPs) are of special importance in power systems. In DRPs, customers in certain periods, such as peak or times when the price is high, decrease self-consumption. It means profit for costumers and prevention of expensive production in peak time for a genera-tion source. Moreover, to decrease the operation cost of network and ever-growing technology significantly, the power sys-tems operators have employed new sources of energy production as well as thermal units, and it has led to the emergence of Electric Vehicles (EVs) technology as a new source of energy production. This paper studies the simultaneous presence of DRPs and EVs to minimize the total operation cost of a network from one hand and from the other to improve the level of system reserve in Unit Commitment (UC) problem with considering the security constraint. Here, the proposed framework is structured as a Mixed Integer Programming (MIP) and solved using CPLEX solver.
Majid Aras Nejad; Hessam Golmohamadi; Amir Bashian; Hossein Mahmoodi; Mehdi Hammami
Volume 06, Issue 03 , September 2017, , Pages 93-99
Abstract
In recent years, incremental rate of electrical demands made many challenges for policy makers of power systems. Besides, due to economic crisis and environmental concerns about the air pollution, the new investments in thermal power generation units have experienced a noticeable reduction. For this ...
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In recent years, incremental rate of electrical demands made many challenges for policy makers of power systems. Besides, due to economic crisis and environmental concerns about the air pollution, the new investments in thermal power generation units have experienced a noticeable reduction. For this reason, the power system operators should propose novel approaches to make a balance between incremental rate of electrical demand and decreased rate of generation expansion planning. In this paper, in order to hedge against the aforementioned problem, Demand Response Programs (DRPs) are proposed to control the electrical demands of heavy industries which consume a considerable part of electrical demands in peak durations. In this regard, two types of incentive-based demand response programs, including spinning reserve and curtailable load program, are addressed to decrease the need of new investments in power generation during peak hours. In order to show applicability and proficiency of the proposed approach, a case study containing 23 numbers of heavy industries of Khorasan Regional Electric Company (KREC) is addressed to participate in the proposed demand response programs in summer 2016.
Sevda Allahyari; Shahram Javadi
Volume 05, Issue 01 , February 2016, , Pages 5-9
Abstract
As there is a rapid growth both in the number of power consumers and also the limitations energy resources, it is clearly accepted that the old version of power grid must change into smart grid from head to toe. One of the most important advantages of smart grid which makes it much more exclusive rather ...
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As there is a rapid growth both in the number of power consumers and also the limitations energy resources, it is clearly accepted that the old version of power grid must change into smart grid from head to toe. One of the most important advantages of smart grid which makes it much more exclusive rather than other typical systems is the two-way connectivity between the utility and the costumers. Taking energy efficiency programs for domestic consumers which are considered with the most important role in raising the rate of energy consumption of all, is accepted as an applicable techniques of demand-side management. In this thesis an identical frequency method control of the electrical motor of an air-conditioner (AC) system based on Fuzzy-PID controller is proposed in order to maximizing energy efficiency. Referring to the statistics which are published about the rate of energy consumption of AC systems would have the highest role in demand response and the two-way cooperation between the utility and costumers. To evaluate the results much more applicable, the proposed method is simulated with MATLAB software and the results have shown that the system have the great success.