Demand Response and Dynamic Line Ratings for Optimum Power Network Reliability and Ageing

Abstract

This study proposes a methodology to optimise the use of average demand loss of each load bus to enhance line ratings and modify load curves, by minimising demand loss and network ageing due to elevated conductor temperatures. The considered lines are connected to load buses, operated with dynamic line rating technology and have actual conductor physical properties. The simulation of line failures considers line loadings, whose values are based on utilizations of the average demand loss of load buses where the lines are connected, and the remaining service life of the conductor. Demand response in the form of peak-shaving and valley-filling is used to modify load demand curves, with the allowable peak load reduced based on utilizations of the remaining average demand loss. The average demand loss values are determined in the preliminary screening module of the proposed method. Various trade-offs between ageing and reliability of the network are solved based on the two-objective non-sorting genetic algorithm and fuzzy decision-making method in the execution module of the proposed method. Results have shown that the proposed method is cost-effective in that it strategically increase line ageing slightly to enhance system reliability, by as much as 71.9%, based on the equal emphasis of network ageing and reliability, when compared with the scenario that only prioritizes the protection of network ageing. Line ageing is also 68.2% lower on average across the entire spectrum of rating exceedance (1% to 25%) compared to the scenario that only prioritizes enhancement of network reliability.

Optimizing renewable-based energy supply options for power generation in Ethiopia

“…Despite these challenges, rising electricity demand and awareness of the need to keep global warming below 1.5˚C in order to meet internationally agreed climate change targets necessitate a major transformation of energy systems that dramatically increases the integration of intermittent renewable energy sources such as wind [39][40][41][42] and solar [43][44][45][46]. The dynamic thermal rating (DTR) and energy storage systems [47][48][49] as well as demand response to actively manage load profiles [50][51][52][53][54][55] are pioneering approaches to enhance the reliability of the power network and increase the penetration of such variable renewable energy sources into power systems.…”

“…In addition, by coordinating DTR with other smart grid technologies, the potential benefit may be more dramatic. Further, demand reduction in combination with dynamic thermal line rating systems can optimize network reliability and ageing, while demand losses are minimized [54], which refers to the reduction or shifting the power utilization during top periods in response to time-sensitive rates or different types of monetary motivating force.…”

Demand Respond Program and Dynamic Thermal Rating System for Enhanced Power Systems

“…However, a dynamic line rating system can be scheduled to have different frequencies of the rating updatethe number of fretting events that the conductor experiences will decrease as the frequency of the rating decreases. Consequently, the reliability of the power line with a dynamic line rating is increased by lowering the number of possible failure events [44].…”

Load shifting impact on generating adequacy assessment during peak period

“…Demand response is effective tool to reducing the number of peaks [3]. The reliability of power systems can be enhanced as peak loads are reduced [4], [5]. Consequently, reserve margin can be used more optimally without constructing new generation units [6].…”