Optimal Operation of Integrated Electricity-Gas Energy Systems with Gas Load Uncertainty
ID：97
Submission ID：285 View Protection：ATTENDEE
Updated Time：2021-12-03 10:37:32 Hits：561
Poster Presentation
Start Time：2021-12-17 15:55 （Asia/Shanghai）
Duration：5min
Session：[Z] Poster Session » [Z7] Poster Session 7: Renewable energy system
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Abstract
As the growing demand for environmental CO2 emission reduction and energy efficiency improvement，this paper proposes a low carbon economy optimization model of integrated electricity gas energy system (IEGNS). The proposed model minimizes the sum of generation cost and carbon trading cost. However, introducing carbon trading mechanism may transfer power generator load to gas turbine which has lower carbon emissions, resulting in little space for adjustment of gas supply. In order to avoid power shortage caused by large load fluctuation of gas turbine, this paper considers the uncertainty of gas load on base of the low carbon model of IEGNS. Thus， Monte Carlo is used to simulate different uncertain gas load scenarios and Benders method is used to integrate the uncertainty scenarios into the original optimization model. In addition, this paper proposes an improved second-order cone convex relaxation method to solve the non-convex gas model. Compared with the traditional second-order cone algorithm, the improved gas model is more accurate and efficient. Finally, the modified IEEE 39-bus system coupling with a 20-bus natural gas system is used to verify effectiveness and feasibility of the proposed model and algorithm
Keywords
carbon trading mechanism; improved second-order cone convex relaxation method; gas load uncertainty; Benders decomposition method
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