Abstract
This work proposed a bi-level formulation for energy management in the integrated power and natural gas system via real-time price signals. The upper-level problem minimizes the operational cost, in which dynamic electricity price and dynamic gas tariff are proposed. The lower level problem is the arbitrage model of gas-fired plants and P2Gs stations, in which the transient gas flow is introduced. This bi-level model is relaxed to a mixed-integer quadratic programming problem using the Karush-Kuhn-Tucker optimality conditions. Results show that the dynamic price and tariff can make gas-fired units and P2Gs plants follow the system operator’s preferences such as wind power accommodation, mitigation of unsupplied load and relieving the network congestion.
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