Devising a Method for Estimating the Share of Electricity Consumption by a Given Consumer, Which is Provided Renewable Energy Sources

Abstract

One of the tools to confirm the origin of electricity sold in the retail market are the so-called Guarantees of Origin. They are the basis for calculating greenhouse gas emissions and reporting on carbon emissions and are the most sought-after by European enterprises. The object of this study is the mechanism of labeling guarantees of the origin of electricity in electrical networks with renewable energy sources, taking into consideration their location and schemes of connection to the power grids. Existing solutions for electricity labeling based on the certificates of Guarantees of Origin have a number of problems. They often do not accurately reflect carbon emissions, do not provide transparency and verifiability for end users because they do not take into consideration the physical processes of electricity transmission in the labeling system. To solve this problem, a method has been developed that makes it possible to isolate from the flow of energy in each power transmission a component due to each connected energy source. As a result, the proportion of the load of each node of the electrical network supplied by a certain source of electricity is determined. To take into account the nonlinearity of the ratio between voltages in the nodes of electrical networks and flows in power transmissions, piecewise-linear approximation is used. The algorithm for issuing guarantees of the origin of electricity has been improved. It takes into consideration not only indicators of the balance of electricity but also the results of assessing the volume of electricity supply to each consumer from renewable sources. Thus, the volume of sales of guarantees of origin is limited depending on the placement of consumers and their connection to the power grid. Directing proceeds from the sale of guarantees of origin to the guarantors of «green» subsidies will provide them with additional financial support to compensate for the costs of the «green» tariff