Abstract

With the increasing shares of intermittent renewable sources in the grid, it becomes increasingly essential to quantify the requirements of the power systems flexibility. In this article, an adjusted weight flexibility metric (AWFM) is developed to quantify the available flexibility within individual generators as well as within the overall system. The developed metric is useful for power system operators who require a fast, simple, and offline metric. This provides a more realistic and accurate quantification of the available technical flexibility without performing time-consuming multi-temporal simulations. Another interesting feature is that it can be used to facilitate scenario comparisons. This is achieved by developing a new framework to assure the consistency of the metric and by proposing a new adjusted weighting mechanism based on correlation analysis and analytic hierarchy process (AHP). A new ranking approach based on flexibility was also proposed to increase the share of the renewable energy sources (RESs). The proposed framework was tested on the IEEE RTS-96 test-system. The results demonstrate the consistency of the AWFM. Moreover, the results show that the proposed metric is adaptive as it automatically adjusts the flexibility index with the addition or removal of generators. The new ranking approach proved its ability to increase the wind share from 28% to 37.2% within the test system. The AWFM can be a valuable contribution to the field of flexibility for its ability to provide systematic formulation for the precise analysis and accurate assessment of inherent technical flexibility for a low carbon power system.

Highlights

  • In an attempt to reduce our polluting emissions, a large and an accelerated expansion of renewable energy sources (RESs) has been integrated into the current power system

  • The proposed adjusted weight flexibility metric (AWFM) indices for the eight different types of generating units in the IEEE RTS-96 are presented in Table 3 with their rankings based on their flexibility index

  • The overall power system flexibility index is determined by the summation of the AWFM indices of all its units, as stated by Equation (10)

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Summary

Introduction

In an attempt to reduce our polluting emissions, a large and an accelerated expansion of renewable energy sources (RESs) has been integrated into the current power system. As a result of that, a great interest in the quantification of the system flexibility has motivated the development of metrics These metrics should be able to accurately point out to the power system operators the internal flexibility that can be called upon to balance the generation and the net-load at different times of operation. The research work in [27] provides an accurate analysis of a deterministic metric under different weights of flexibility parameters to assess the available flexibility from an individual generator up to the overall system. The presented metric in this article provides a more realistic and accurate quantification of the available technical flexibility from individual generating units and the overall system without performing time-consuming multi-temporal simulations.

Description of Selected Flexibility Parameters
Ramp Rates
Generation Capacity
Development of the Proposed AWFM Framework
Normalization
Analytic Hierarchy Process
Correlation Analysis
Consistency Ratio Calculations
Weighting Mechanism and Scenarios Creation
Scenario Creation
Aggregation
Test System
AWFM Indices of Generators and Overall System
Weighting Mechanism
Robustness and Sensitivity Analysis
Impact of Adding New Generator on AWFM’s Flexibility Indices
Conclusions
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