Using the direct search method for optimal dispatch of distributed generation in a medium-voltage microgrid

Research output: Contribution to journalArticle

25 Citations (Scopus)

Abstract

This paper proposes a simple and efficient approach for the optimal dispatch in a medium-voltage microgrid (MG) with various types of distributed generation (DG). The fuel costs generated by these DGs are determined using quadratic and linear functions dependent on the types of DGs. Instead of using the traditional Lagrange multiplier method for power system economic dispatch, the proposed direct search method (DSM) approach is able to handle several inequality constraints without introducing any multipliers and furthermore it can solve the non-derivative problems or the fuel cost functions being much more complicated. Accordingly, the DSM is proposed for determining the optimal dispatch of MGs with various types of DG to minimize generation costs under grid-tied and autonomous operations. Results demonstrate that the proposed DSM is a highly suitable and simple approach to determining the optimal dispatch in medium-voltage MGs with various types of DG.

Original languageEnglish
Pages (from-to)8355-8373
Number of pages19
JournalEnergies
Volume7
Issue number12
DOIs
Publication statusPublished - 2014 Jan 1

Fingerprint

Direct Search Method
Microgrid
Distributed Generation
Distributed power generation
Voltage
Electric potential
Economic Dispatch
Lagrange multiplier Method
Lagrange multipliers
Costs
Inequality Constraints
Quadratic Function
Cost functions
Power System
Linear Function
Multiplier
Cost Function
Grid
Minimise
Economics

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Energy (miscellaneous)
  • Control and Optimization
  • Electrical and Electronic Engineering

Cite this

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Using the direct search method for optimal dispatch of distributed generation in a medium-voltage microgrid. / Huang, Wei Tzer; Yao, Kai Chao; Wu, Chun Ching.

In: Energies, Vol. 7, No. 12, 01.01.2014, p. 8355-8373.

Research output: Contribution to journalArticle

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