Open AccessProportional nucleolus game theory–based locational marginal price computation for loss and emission reduction in a radial distribution system
Author(s) -
Veeramsetty Venkataramana,
Chintham Venkaiah,
Vinod Kumar D. M.
Publication year - 2018
Publication title -
international transactions on electrical energy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 42
ISSN - 2050-7038
DOI - 10.1002/etep.2573
Subject(s) - reduction (mathematics) , mathematical optimization , game theory , iterative method , computation , distribution (mathematics) , matlab , preference , computer science , decision maker , reduction strategy , mathematical economics , economics , mathematics , microeconomics , operations research , algorithm , mathematical analysis , geometry , programming language , operating system
Summary In this paper, a proportional nucleolus game theory (PNGT)–based iterative method has been presented to compute locational marginal price (LMP) at buses where distributed generation (DG) units were installed in a distribution network. Proportional nucleolus theory is one of the solution concepts for a cooperative game theory problem. The PNGT‐based iterative method provides financial incentives in terms of LMP to DG owners as per their contribution in loss reduction and emission reduction at a particular loading on the distribution system. In this method, LMP values depend on the distribution company's decision maker's preference among loss reduction, emission reduction, and distribution company's additional benefit. This proposed PNGT‐based iterative method has been implemented on a Taiwan power company's distribution network consisting of 84 buses with 15 DG units using MATLAB. The computed LMP values have operated the network based on decision‐maker priority so as to enable fair competition among DG owners.