Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Ground Fault Detection Using Pole Differential Current Measurement for 2-Terminal Bipolar HVDC Lines Read chapter Read first chapter

2021 | OriginalPaper | Chapter

Reduced the Fuel Cost by Using Renewable Energy-Based DG in Pool Electricity Market

Authors : Manish Kumar, Ashwani Kumar, K. S. Sandhu

Published in: Recent Advances in Power Systems

Publisher: Springer Singapore

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Integration of renewable sources in power utilities is gaining importance all over the world. In a competitive system, it is important to consider the linearization of the energy segment, increasing share of renewable energy sources, and the impact of clean energy on system performance. In this paper, the wind-based and PV-based DG has been used for the minimization of fuel cost of convectional generators. A mixed integer nonlinear approach used for solved the problems and finds the optimal allocation of DG in the power network. Saving the fuel cost of convection generator (CG) with including the DG cost with different case will also considered. The results obtained with two different loads (constant and ZIP) and find flowing parameters: real and reactive nodal price, saved fuel cost, optimal location of DG and size of DG. The approached has been applied to IEEE-24 bus.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now
previous chapter Techno-economic Assessments of Green Hybrid Microgrid
next chapter Congestion Management in Power System—A Review
Literature
1.
Prabhakar Karthikeyan, S., Jacob Ragled, I., Kothari, D.P.: A review on market power in deregulated electricity market. Electr. Power Energy Syst. 48, 139–147 (2013)CrossRef
2.
Moradi, M.H., Abedini, M.: A combination of genetic algorithm and particle swarm optimization for optimal DG location and sizing in distribution systems. Int. J. Electr. Power Energy Syst. 34(1), 66–74 (2012)CrossRef
3.
Kim, K., Song, K., Joo, S., Lee, Y., Kim, J.: Multi-objective distributed generation placement using fuzzy goal programming with genetic algorithm. Eur. Trans. Electric Power. 8, 217–230 (2008)CrossRef
4.
Ghosh, S., Ghoshal, S.P.: Ghosh Sa,: optimal sizing and placement of distributed generation in a network system. Int. J. Electr. Power Syst. 32, 849–856 (2010)CrossRef
5.
Porkar, S., Poure, P., Abbaspur-Tehrani-fard, A., Saadate, S.: A noval optimal distribution system planning framework implementing distributed generation in a deregulated electrical market. Int. J. Electr. Power Syst. 60, 828–837 (2010)CrossRef
6.
Mohammadi, M.: Nafar M,: Optimal placement of multitype DG as independent private sector under pool/hybrid power market using GA-based Tabu Search method. Electr. Power Energy Syst. 51, 43–53 (2013)CrossRef
7.
Kumar, S., Kumar Prema, N.: A noval approach to identify optimal access point and capacity of multiple DGs in a small, medium and large scale radial distribution systems. Electr. Power Energy Syst. 45, 142–151 (2013)CrossRef
8.
Ugranli, F., Karatepe, E.: Multiple-distributed generation planning under load and different penetration levels. Int. J. Electr. Power Energy Syst. 46, 132–144 (2013)CrossRef
9.
Hung, D.Q., Mithulananthan, N., Bansal, R.C.: Analytical strategies for renewable distributed generation integration considering energy loss minimization. Appl. Energy 105, 75–85 (2013)CrossRef
10.
Hung, D.Q., Mithulananthan, N., Lee, K.Y.: Determining PV penetration for distribution systems with time-varying load model. IEEE Trans. Power Syst. 29(6), 3048–3057 (2014)CrossRef
11.
Atwa, Y.M., El-Saadany, E.F., Salama, M.M.A., Seethapathy, R.: Optimal renewable resources mix for distribution system energy loss minimization. IEEE Trans. Power Syst. 25, 360–370 (2010)
12.
Kumar, M., Kumar, A., Sandhu, K.S.: Wind speed variation impact on transmission loss reduction in electricity market. Procedia Comput. Sci. 70, 526–537 (2015)CrossRef
13.
Kumar, M., Kumar, A., Sandhu, K.S.: Impact of distributed generation on nodal prices in hybrid electricity market. Mater. Today Proc. 5, 830–840 (2018)CrossRef
14.
Kusiak, A., Li, W.: Short-term prediction of wind power with a clustering approach. Renew. Energy 35(10), 2362–2369 (2010)
15.
Kusiak, A., Li, W.: Virtual models for prediction of wind turbine parameter. IEEE Trans. Energy Convers. 25(1), 245–252 (2010)
16.
Yang, X.-S.: Firefly algorithm, stochastic test functions and design optimization. Int. J. Bio-Inspir. Comput. 2(2), 78–84 (2010)
17.
Kumar, M., Kumar, A., Sandhu, K.S.: Optimal location of WT based distributed generation in pool based electricity market using mixed integer non linear. Mater. Today Proc. 5, 445–457 (2018)CrossRef
18.
Kumar, M., Kumar, A., Sandhu, K.S.: WT based distributed generation location minimizing transmission loss using mixed integer non-linear programming in deregulated electrical market. In: Proceedings of the International Congress on Information and Communication Technology ICICT-2015, Advances in Intelligent System and Computing, vol. 438, pp. 443–358 (2015)
19.
Kumar, M., Kumar, A., Sandhu, K.S.: PV-based distributed generation location using mixed integer non-linear programming in deregulated electricity market. Advanced Computing & Communication Technology ICACCT 2015, Advances in Intelligent System and Computing, vol. 452, pp. 535–547 (2015)
20.
Crisostomi, E., Liu, M., Raugi, M., Shorten, R.: Plig and play distributed algorithms for optimized power generation in a micro grid. IEEE Trans. Smart Grid 5(4), 2145–2154 (2014)CrossRef
21.
Krishan, O., Suhag, S.: Techno-economic analysis of a hybrid renewable energy system for an energy poor rural community. J. Energy Storage 23, 305–319 (2019)CrossRef
Metadata
Title
Reduced the Fuel Cost by Using Renewable Energy-Based DG in Pool Electricity Market
Authors
Manish Kumar
Ashwani Kumar
K. S. Sandhu
Copyright Year
2021
Publisher
Springer Singapore
Book
Recent Advances in Power Systems

Print ISBN: 978-981-15-7993-6

Electronic ISBN: 978-981-15-7994-3

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-15-7994-3_38