Optimal Day-ahead Dynamic Pricing of Grid-connected Residential Renewable Energy Resources Under Different Metering Mechanisms

Nowadays, grid-connected renewable energy resources have widespread applications in the electricity market. However, providing household consumers with photovoltaic (PV) systems requires bilateral interfaces to exchange and data. In addition, residential consumers' contribution guaranteed privacy secured data exchange. Day-ahead dynamic pricing is one of incentive-based demand response methods that has substantial effects on integration smart grids social welfare. Different metering mechanisms such as feed-in tariffs, net metering, purchase sale are important issues power grid operation planning. this paper, optimal condition decomposition method used for day-ahead under different mechanisms: feed-in-tariffs, conjunction carbon emission taxes. According stochastic nature load PV system products, uncertainties considered a two-stage decision-making process. The results demonstrate satisfaction average 68% 32% investigated electric company leads 28% total reduction. For case mechanism, 15% 85% 11% feed-in-tariff spite increased welfare, reduction does not take place.