A comprehensive evaluation index system for power system operation

Abstract

With the rapid development of modern power systems, it is imperative to establish an evaluation index system for monitoring power utilities. Previous researches have mainly focused on the evaluation of power system operation regarding to a few aspects, lack of an integrated evaluation to assess the overall performance of power industry. This paper presents a new comprehensive evaluation index system. The index system contains five categories covering the assessment on reliability, economy, power quality, energy efficiency and fairness, and provides a reference for achieving optimal dispatching and management of power systems.

Function Effects Post-Evaluation for Substation Construction Project Based on Multi-Level Extension Assessment Method

“…After determining the lower and upper matrix, using interval eigenvalue method to calculate its largest eigenvalue and its corresponding normalized eigenvectors with positive components. k and m are calculated based on formula (3), where, k, m are the coefficients for max λ − , max λ + .…”

“…According to the formula ( 8) and ( 9), we can get the correlation degree between transformer capacity-load ratio and each assessment level ( 1,2,3,4) Similarly, we can get the correlation degree of other third level index shown as table 2.…”

“…Literature [1][2] use traditional analytic hierarchy process to determine the weight of each index and the fuzzy comprehensive evaluation method to evaluate investment benefit of grid investment project, which ignores the difference of evaluation expert personal preference and experience and may lead to a big difference from the judgment matrix formed by the different group of experts. Literature [3][4] respectively establishes the operational capacity and the whole process evaluation index system of grid investment project, but does not verify the reasonableness of its evaluation index system. Literature [5] uses the triangular fuzzy number to assessment the investment returns of smart grid and through an adjustment factor to avoid the error by the expert objective judgments, getting a more satisfactory evaluation results.…”