Economic dispatch - shift factor evaluation and load profile power flow simulations in Excel VBA macro

Purpose – The aim of this paper is to compare the performance of static VAR compensator (SVC) and unified power flow controller (UPFC) in dynamic economic dispatch (DED) problem. DED schedules the online generator outputs with the predicted load demands over a certain period so that the electric power system is operated most economically. During last decade, flexible alternating current transmission systems (FACTS) devices are broadly used for maximizing the loadability of existing power system transmission networks. However, based on the literature survey, the performance of SVC and UPFC incorporated in the DED problem and its cost–benefit analysis are not discussed earlier in any of the literature. Design/methodology/approach – Here, the DED problem is solved applying ABC algorithm incorporating SVC and UPFC. The following conditions are investigated with the incorporation of SVC and UPFC into DED problem: the role of SVC and UPFC for improving the power flow and voltage profile and the approximate analysis on cost recovery and payback period with SVC and UPFC in DED problem. Findings – The incorporation of FACTS devices reduces the generation cost and improves the stability of the system. The percentage cost recovered with FACTS devices is estimated approximately using equated monthly installment (EMI) and non-EMI scheme. It is clear from the illustrations that the installation of FACTS devices is profitable after a certain period. Research limitations/implications – In this research work, the generation cost with FACTS devices is only taken into account while calculating the profit. The other benefits like congestion management, cost gained due to land and cost due to stability issues are not considered. For future work, these things can be considered while calculating the benefit. Originality/value – The originality of the work is incorporation of FACTS devices in DED problem and approximate estimation of recovery cost with FACTS devices in DED problem.

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Optimal Power Flow Menggunakan Metode Interior Point yang Disempurnakan

Emitor: Jurnal Teknik Elektro ◽

10.23917/emitor.v2i2.6007 ◽

2018 ◽

Vol 2 (2) ◽

pp. 47-50

Author(s):

Aris Budiman

Keyword(s):

Objective Function ◽

Interior Point ◽

Power Flow ◽

Optimal Power Flow ◽

Economic Dispatch ◽

Multi Objective ◽

Optimal Power

Permasalahan OPF terdiri dari banyaknya objective function, an/ara lain economic dispatch, perencanaan VAR, dan juga minimisasi rugi-rugi. Untuk perencanaan VAR perlu mempertimbangkan biaya operasional rugi-rugi, sehingga membentuk sua/u permasalahan perencanaan dan operasiyang simultan.Di tulisan ini secara khusus hanya membahas metode OPF ImprovedQuadratic Interior Point (IQIP). Metode !QIP ini memiliki unjuk kerja yang secara umum lebih baik dibanding me/ode generasi sebelumnya, yaitu EQJP (Extended Quadratic Interior Point), antara lain karena bisa menggunakan titik awal general dan pada beberapa pengujian lebih cepat konvergen dibandingkan EQJP. Hal ini menyebabkan me/ode IQIP mampu menawarkan perbaikan besar di dalam kecepatan,keakuratan, dan konvergensi di dalam pemecahan masalah optimisasi yang multi• objective function dan multi-constraint. Kemampuan memecahkan optimisasi global dari sistem terinterkoneksi dan sis/em terpartisi untuk optimisasi /oka/juga lebih baik dari generasi sebelumnya.Metode ini telah melalui pengujian terhadap sis/em 14 bus, 30 bus, dan 118 busIEEE. Efektivilas dari metode ini telah dieva/uasi dengan cara dibandingkan denganprogram OPF yang berbasis EQIP (Extended Quadratic Interior Point) dan programMINOSyang cukup dikenal di dunia perencanaan sis/em

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Methods of Missing Data Handlingin One Shot Response based Power System Control

International Journal of Engineering and Advanced Technology - Regular Issue ◽

10.35940/ijeat.a1062.1291s319 ◽

2019 ◽

Vol 9 (1S3) ◽

pp. 330-336

Keyword(s):

Missing Data ◽

Power System ◽

Decision Trees ◽

Power Flow ◽

System Model ◽

System Control ◽

Power System Control ◽

Flow Simulations ◽

Work Done ◽

Power System Model

The work done in this paper addresses various methods of handling missing phasor samples obtained from power flow simulations using DSA tools like TSAT and PSAT. Pseudorandom numbers in MATLAB are used to simulate 0-10% of missing samples and are recovered using different extrapolation techniques. After recovery, samples are subjected to decision trees to assess the performance of one shot stabilizing controls like in [1], [2].The power system model used is the 176 bus model of Western Electrical Coordinating Council (WECC).

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Power flow and economic dispatch of a microgrid in presence of feeder flow control distributed generators

2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA) ◽

10.1109/cera.2017.8343324 ◽

2017 ◽

Cited By ~ 2

Author(s):

Avirup Maulik ◽

Debapriya Das

Keyword(s):

Flow Control ◽

Power Flow ◽

Economic Dispatch ◽

Distributed Generators

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Application of Genetic Algorithm for Solving Optimum Power Flow Problems

International Journal of Information Systems and Supply Chain Management ◽

10.4018/jisscm.2013040105 ◽

2013 ◽

Vol 6 (2) ◽

pp. 62-71 ◽

Cited By ~ 1

Author(s):

H. Vennila ◽

T. Ruban Deva Prakash ◽

B.G. Malini ◽

M.S. Birundha ◽

V. Evangelin Jeba ◽

...

Keyword(s):

Information Exchange ◽

Power Flow ◽

Economic Dispatch ◽

General Purpose ◽

Artificial Chromosomes ◽

Flow Problems ◽

Load Demand ◽

Electric Power Generation Systems ◽

Power Generation Systems ◽

Survival Of The Fittest

An efficient and optimum economic operation and planning of electric power generation systems is very important. The basic requirement of power economic dispatch (ED) is to generate adequate electricity to meet load demand at the lowest possible cost under a number of constrains. Genetic Algorithms (GA) represents a class of general purpose stochastic search techniques which simulate natural inheritance by genetics. In this paper, the principles of genetics involving natural selection and evolutionary computing applied for producing an economic dispatch. By simulating “Survival of the fittest” among chromosomes, the optimal chromosome is searched by randomized information exchange. In every generation a new set of artificial chromosomes is created using bits and pieces of the fittest of old ones while randomized.

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