micro-grids bidding strategy in a transactive energy market

This paper proposes micro-grid (mg) bidding strategy in the transactive energy market (tem) in which market participants are able to negotiate and trade by a new smart contract (sc) in a peer-to-peer way. in such a market, mg can balance its deviations as a result of the intermittency of the renewable energy sources and the volatility of the load. the uncertainty was handled by interval optimization. by participation in the tem, the mg bidding problem was a bi-level optimization with interval coefficient, in which the profit of the mg was maximized in the upper level and the behaviour of the rivals in the tem was modelled in the lower level. in order to solve the aforementioned problem, the proposed model was recast as a single-level interval optimization problem by the karush- kuhn-tucker (kkt) conditions and the interval optimization concept. simulation results showed the applicability of the proposed model and 1.7% increase in the profit of the mg for a 4-hour-duration-basis tem.