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All Journal International Journal of Electrical and Computer Engineering Indonesian Journal of Electrical Engineering and Computer Science
Hossein Shahinzadeh
Amirkabir University of Technology (Tehran Polytechnic)
Computer Science & IT Electrical & Electronics Engineering

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Applications of Particle Swarm Optimization Algorithm to Solving the Economic Load Dispatch of Units in Power Systems with Valve-Point Effects Hossein Shahinzadeh; Sayed Mohsen Nasr-Azadani; Nazereh Jannesari
International Journal of Electrical and Computer Engineering (IJECE) Vol 4, No 6: December 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (411.91 KB)

Abstract

Reduction of operating costs in power system in order to return the investment costs and more profitability has vital importance in power industry. Economic Load Dispatch (ELD) is one of the most important issues in reducing operating costs. ELD is formulated as a nonlinear optimization problem with continuous variables within the power plants. The main purpose of this problem is optimal planning of power generation in power plants with minimum cost by total units, regarded to equality and inequality constraints including load demand and the range of units' power productivity. In this article, Economic Load Dispatch problem has been modeled by considering the valve-point loading effects with power plants' constraints such as: the balance of production and consumption in system, the forbidden zones, range of production, increasing and decreasing rates, reliability constraints and network security. To solve the problem, Particle Swarm Optimization (PSO) Algorithms has been employed. To evaluate the effectiveness of the proposed method, the problem has been implemented on a power system with 15 generating units and the results have been evaluated.DOI:http://dx.doi.org/10.11591/ijece.v4i6.6720
Blockchain outlook for deployment of IoT in distribution networks and smart homes Heliasadat Hosseinian; Hossein Shahinzadeh; Gevork B. Gharehpetian; Zohreh Azani; Mahdi Shaneh
International Journal of Electrical and Computer Engineering (IJECE) Vol 10, No 3: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (868.257 KB) | DOI: 10.11591/ijece.v10i3.pp2787-2796

Abstract

Nowadays, unlike depleting fossil fuel resources, the integration of different types of renewable energy, as distributed generation sources, into power systems is accelerated and the technological development in this area is evolving at a frantic pace. Thus, inappropriate use of them will be irrecoverably detrimental. The power industry will reach a turning point in the pervasiveness of these infinite energy sources by three factors. Climate changes due to greenhouse gas accumulation in the atmosphere; increased demand for energy consumption all over the world, especially after the genesis of Bitcoin and base cryptocurrencies; and establishing a comprehensive perspective for the future of renewable energy. The increase in the pervasiveness of renewable energy sources in small-scale brings up new challenges for the power system operators to manage an abundant number of small-scale generation sources, called microsources. The current structure of banking systems is unable to handle such massive and high-frequency transactions. Thus the incorporation of cryptocurrencies is inevitable. In addition, by utilization of IoT-enabled devices, a large body of data will be produced must be securely transferred, stored, processed, and managed in order to boost the observability, controllability, and the level of autonomy of the smart power systems. Then the appropriate controlling measures must be performed through control signals in order to serve the loads in a stable, uninterruptible, reliable, and secure way. The data acquires from IoT devices must be analyzed using artificial intelligence methods such as big data techniques, data mining, machine learning, etc. with a scant delay or almost real-time. These measures are the controversial issues of modern power systems, which are yet a matter of debate. This study delves into the aforementioned challenges and opportunities, and the corresponding solutions for the incorporation of IoT and blockchain in power systems, particularly in the distribution level and residential section, are addressed. In the last section, the role of IoT in smart buildings and smart homes, especially for energy hubs schemes and the management of residential electric vehicle supply equipment is concisely discussed.
Implementation of Smart Metering Systems: Challenges and Solutions Hossein Shahinzadeh; Ayla Hasanalizadeh-Khosroshahi
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp5104-5109

Abstract

In recent decade, with advancements in telecommunications and information management systems technology and the increasing requirements of various sectors of the power industry for monitoring and controlling all of the network components (from production to consumption) power companies feel necessary to add intelligence to their grid as a scientific and practical solution to the utility industry. In most of the developed countries, electric power companies are planning to put priority on Smart Grid planning and for fulfilling this, implementation of Smart Metering Systems and energy management are the first and most basic step. Certainly, in the implementation of smart grids and smart metering infrastructure, power companies will face two major challenges, the cost of implementing these systems and the implementation complexity of the system. Therefore, this paper examines the challenges and strategies in order to better implementation of these systems in electrical grids.
Co-Authors Ayla Hasanalizadeh-Khosroshahi Gevork B. Gharehpetian Heliasadat Hosseinian Mahdi Shaneh Nazereh Jannesari Sayed Mohsen Nasr-Azadani Zohreh Azani