基于分段线性化与改进二阶锥松弛的电-气互联系统多目标优化调度

doi:10.19595/j.cnki.1000-6753.tces.210463

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Abstract In this paper, a multi-objective security constrained optimal scheduling model is established for the integrated electricity-gas system considering the operation economy, pollutant gas emission, peak load and valley load reduction capacity and the cost of electricity and gas purchase. The mixed integer nonconvex nonlinear model is transformed into mixed integer convex optimization model by piecewise linearization and improved second-order cone relaxation method, and the dimension of objective function is reduced by enhancing ε-constraint to form a three-objective optimization problem. A series of uniformly distributed Pareto fronts are obtained by normal boundary intersection method, and the compromise optimal operation scheme is obtained by double base points of entropy weight method. The simulation results on the improved IEEE 30 bus system and Belgium 20 bus system show that the model can get an effective optimal operation scheme, which can provide a reference for the decision-making of the dispatcher.

Key words： Integrated electricity-gas system multi-objective security constrained optimal scheduling mixed integer convex optimization model Pareto fronts

Received: 06 April 2021

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	Xu Yuqin
	Fang Nan

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Xu Yuqin,Fang Nan. Multi Objective Optimal Scheduling of Integrated Electricity-Gas System Based on Piecewise Linearization and Improved Second Order Cone Relaxation[J]. Transactions of China Electrotechnical Society, 2022, 37(11): 2800-2812.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.210463 OR https://dgjsxb.ces-transaction.com/EN/Y2022/V37/I11/2800

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