ترجمه مقاله نقش ضروری ارتباطات 6G با چشم انداز صنعت 4.0
- مبلغ: ۸۶,۰۰۰ تومان
ترجمه مقاله پایداری توسعه شهری، تعدیل ساختار صنعتی و کارایی کاربری زمین
- مبلغ: ۹۱,۰۰۰ تومان
Abstract
Smart metering in electricity markets offers an opportunity to explore more diverse tariff structures. In this article a Genetic Algorithm (GA) is used to design Time of Use tariffs that minimise the wholesale risk to the supplier in residential markets. Residential demand and the System Marginal Price of Ireland’s Single Electricity Market are simulated to estimate the wholesale risk associated with each tariff.
5 Conclusions
This work presents a novel concept in two respects. First it asks a question not covered by previous literature - can wholesale risk be reduced through the ToU configuration of a tariff? Second, a bespoke GA is presented with a custom representation, crossover function, mutation operator and stochastic fitness function.
It has demonstrated that there are ToU configurations that reduce wholesale risk. The reduction can be circa 30% when compared to a tariff with no ToU configuration based on the historical data modelled.
Given the likely flat landscape of the search space with tariffs of varying complexity giving similar results further work will explore the least complex tariff with the lowest value of wholesale risk by adding a penalty to the fitness function based on the complexity of the tariff.