Publication: Power grid reliability enhancement considering the thermal and load constraints for effective ageing management
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Date
2022-05-01
Authors
Khoo, Wei Chieh
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Abstract
Grid network congestions caused by high demand of power and the integration of renewable energy sources can be greatly managed with appropriate Demand Response (DR) programs and Dynamic Thermal Rating (DTR) improvement. DR and DTR consistently improves line ratings to the maximum using the selected conductor temperature. The first research study proposes a methodology to optimise the use of average demand loss in a power system and its duration for line rating enhancement and load curve modification. During the optimisation, the proposed method aims to minimise demand loss and line ageing due to elevated conductor temperatures. The considered lines are operated with DTR and same conductor physical properties. The simulation of line failures considers the loading of the line and the remaining service life of the conductor. Various trade-offs between the ageing and reliability of the network are solved based on the two-objective non-sorting genetic algorithm and fuzzy decision-making method. Results have shown that the proposed method is cost-effective in that it causes significantly less line ageing by increasing load losses slightly due to the inverse relationship between network reliability and ageing. It was noted that at 7% and 21% ETNA drops slightly before flatting out in S4 and S2, respectively. However, beyond these points, enough line rating limits are unlocked to share the uprating burden to cause ETNA to decrease slightly before flatting out when the entire proportion of (𝐶𝑃𝑏) has been used for line uprating. The result indicates that S4 induces less ageing than S2 within any particular exceedance level by 68.2% on average. This means that S4, based on our proposed methodology, allows higher line capacity with significant lower ageing risk.