Abstract

In recent, Smart Grid is heading towards mega grid with the integration of various consumer categories, renewable energy penetration, bi-directional communication infrastructure, and thousands of power buses interconnected in wide area systems. With this growing trend, new terminologies evolve, such as ‘Prosumers in energy district’ that refers to a special class of consumers residing in the vicinity with the capability of producing and consuming energy. Prosumers enhance the smart grid infrastructure in terms of grid-support, bi-directional energy flow, and stability enhancement. With Energy District (ED) as a generating zone, the utility must undergo a Service Level Agreement (SLA) that mutually satisfies the financial benefits. Considering above, we propose a bi-directional energy management model for an ED and Utility. Moreover, a Coalition Manager (CM) is introduced that statistically correlates the weather parameters with electrical load consumption of consumers and controls the energy flows between both parties under the principle of Service SLA. Furthermore, with climatic drifts, an optimization model is developed that maximizes the revenue of the utility. Under SLA umbrella, on Prosumers end, the cost of energy consumption ($/MWh) is minimized and energy surplus is maximized. To validate the aforementioned model, real-time data of Texas State (US) is modeled and analyzed.

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