چكيده به لاتين
Existence of various equipment for production and storage of electrical power has caused the effective participation of consumers in the electricity market. Equipping household consumers with solar cells requires bilateral interfaces, to exchange energy and data. In a residential power grid, each consumer can have various uncertain loads, solar system uncertain production based on weather conditions, and energy storage systems. There are different metering mechanisms such as feed-in tariffs, net metering, and net purchase and sale, to support and increase the utilization of renewable energy sources. Day-ahead pricing in each one of these mechanisms can have substantial effects on household’s and electrical company’s profit. In this paper, According to the importance of the data security, optimal condition decomposition (OCD) has been used for day ahead pricing REs metering methods: FiT, net metering and net purchase and sale. In addition, the uncertainty of residential load and PV generation is considered in pricing method.
