Implementation of non-traditional optimization techniques (PSO, CPSO, HDE) for the optimal load flow solution

Mageshvaran, R.; Raglend, I. Jacob; Yuvaraj, V.; Rizwankhan, P.G.; Vijayakumar, T.; Sudheera,

doi:10.1109/tencon.2008.4766839

Cited by 12 publications

(11 citation statements)

References 6 publications

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“…These mathematical methods have been developed for over 40 years, starting with classical mathematical optimization techniques [9]- [11], and more recently reaching genetic and artificial intelligence algorithms [13]. OPF mathematical methods are shown in Figure 1 and Figure 2.…”

Section: Optimal Power Flow Methodsmentioning

confidence: 99%

“…In 2006 R. Mageshvaran, et al presented three different techniques to solve OPF (PSO, CPSO, HDE), proposing useful and encouraging solutions, that were verified in Matlab. The objective of the research was the development of new techniques that allow a better operation; this was done with the purpose of ensuring an economic generation and also meeting the demand of active and reactive power through simple and efficient algorithms [9].…”

Section: Optimal Power Flow Methodsmentioning

confidence: 99%

“…An OPF solution provides information regarding to planning, economic programming, system control and the distribution of future expansion [9]. Sections 2.1 and 2.2 present a compilation of the most relevant research on OPF analysis methods in power systems and its application in electrical microgrids.…”

Section: State Of Artmentioning

confidence: 99%

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Optimal Power Flow in Electrical Microgrids

Heredia-Ramirez¹,

Trujillo²,

Hernandez-Mora³

2014

EPE

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This paper presents in the first place, the state of art relating to the methods to solve optimal power flows (OPF) and its application in electrical microgrids. Afterwards, a mathematical algorithm based on the gradient method is proposed for the application of OPF in a low power microgrid, in order to improve the voltages profiles and consequently reduce the active power losses. Finally, the proposed algorithm is implemented in a low power microgrid to demonstrate the effectiveness of the method.

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Section: Optimal Power Flow Methodsmentioning

confidence: 99%

Section: Optimal Power Flow Methodsmentioning

confidence: 99%

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Optimal Power Flow in Electrical Microgrids

Heredia-Ramirez¹,

Trujillo²,

Hernandez-Mora³

2014

EPE

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“…Power flow studies provide a systematic mathematical approach to determine the various bus voltages, phase angles, active and reactive power flows through different branches, generators, transformer settings and load under steady state conditions. The power system is modeled by an electric circuit which consists of generators, transmission network and distribution network [1].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Load Flow Problem in Power System Planning Studies

Afolabi¹,

Ali²,

Cofie³

et al. 2015

EPE

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Load flow is an important tool used by power engineers for planning, to determine the best operation for a power system and exchange of power between utility companies. In order to have an efficient operating power system, it is necessary to determine which method is suitable and efficient for the system's load flow analysis. A power flow analysis method may take a long time and therefore prevent achieving an accurate result to a power flow solution because of continuous changes in power demand and generations. This paper presents analysis of the load flow problem in power system planning studies. The numerical methods: Gauss-Seidel, Newton-Raphson and Fast Decoupled methods were compared for a power flow analysis solution. Simulation is carried out using Matlab for test cases of IEEE 9-Bus, IEEE 30-Bus and IEEE 57-Bus system. The simulation results were compared for number of iteration, computational time, tolerance value and convergence. The compared results show that Newton-Raphson is the most reliable method because it has the least number of iteration and converges faster.

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“…Load flow studies provide steady state analysis to determine the various bus voltages, phase angles, active and reactive power flows through different branches, generators, and transformers. The power system is modeled by an electric circuit which consists of generators, transmission network and distribution network [5]. The behavior of these generators as well as their effects on the load and power grid can be studied utilizing MATLAB-SIMULINK® [6] and commercially available DIgiSILENT® PowerFactory software.…”

Section: Case Studymentioning

confidence: 99%

Effect of Electrical Alternative Energy Sources on Power Grid

Fathizadeh

Navaratne

Koppaku³

2016 ASEE Annual Conference &Amp; Exposition Proceedings

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Masoud Fathizadeh -PhD, PE Professor Fathizadeh has been with the Department of Electrical and Computer Engineering Technology Purdue University Calumet since 2001. He has worked over 15 years both for private industries and national research laboratories such as NASA, Argonne and Fermi National Laboratories. Dr. Fathizadeh has established his own consulting and engineering company in 1995 specializing in power system, energy management and automation systems. During last twenty years the company performed many private and government projects. Dr. Fathizadeh has published numerous journal, conference and technical articles. He has been instrumental figure in establishing mechatronic engineering technology at Purdue University Calumet. His areas of interests are, control systems, power systems, power electronics, energy, and system integration. Dr. Fathizadeh is a registered professional engineer in the State of Illinois.Mr. Uditha Sudheera Navaratne, Purdue University -West Lafayette Effect of Electrical Alternative Energy Sources on Power Grid AbstractRecent geopolitical unrest in the Mideast, high consumption of fossil fuel by new large industrial bodies and their environmental impacts encouraged many countries to find alternative sources of energy. Wind, solar, wave and geothermal energy have received most of the attentions in recent years. However, except geothermal energy, these energy alternatives are cyclical and cannot produce energy at any time readily and reliably. Storage systems such as battery banks have been used to store the energy for future use. One of the most widely used alternative sources for electric energy production is solar energy. Solar cells are used to harness the energy from nature and produce electricity. Solar cells are connected in series and parallel and assembled into a panel. Electric output power of solar a panel is a function of location, time of the day and season. Average daily output of a flat plate collector at latitude tilt in the contiguous United States is 3 -7 kWh/m²/day and the performance is less in high-altitude areas like Europe. Solar cells produce direct current (DC) which must be converted to alternating current (AC) using a grid tie inverter in existing distribution grids that use AC. This incurs an energy loss of 4 -12 percent. However, high voltage DC grid transportation has less energy waste than AC grid; so, there is a trade-off consideration in deciding to construct high voltage DC grids and apply the inverter at the consumers' end.

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Implementation of non-traditional optimization techniques (PSO, CPSO, HDE) for the optimal load flow solution

Cited by 12 publications

References 6 publications

Optimal Power Flow in Electrical Microgrids

Optimal Power Flow in Electrical Microgrids

Analysis of the Load Flow Problem in Power System Planning Studies

Effect of Electrical Alternative Energy Sources on Power Grid

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