基于场景分析的含P2G装置电气能源系统协同优化
Coordinated Optimization for Integrated Electricity and Gas Systems with Power-to-Gas Stations
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摘要: 目前,弃风现象严重抑制了风电的应用和发展,而电转气(power to gas,P2G)技术有望通过将电能转化为天然气,从而促进风电的消纳利用。此外,由于风电出力具有不确定性,会影响电气能源系统的优化调度结果,因此,文章提出了基于场景分析的含P2G装置电气能源系统的协同优化模型。首先,构建了含P2G装置的电气互联能源系统的基本结构,并简要分析了其工作原理;然后介绍了风电场景集的生成方法;其次,采用场景法处理风电出力不确定性,以电气能源系统网络和耦合元件为约束条件,建立了两阶段优化调度数学模型,并采用分段线性的方法将天然气潮流约束条件线性化,使得整个模型能在混合整数线性规划框架下进行快速求解;最后,在IEEE-39节点和修改后的6节点天然气系统中进行了算例分析,通过对比分析不同场景下的运行结果,验证了模型的有效性及对于风电消纳的提升作用,并将文章所提模型与确定性模型进行对比分析,验证了模型的经济性和合理性。Abstract: Currently,wind power development is mainly constrained by the phenomenon of wind power curtailment. The power to gas （P2G） technology can convert electrical energy into gas fuel,which can be used to promote the accommodation of wind power. The uncertainty of wind power may influence the decision result of the integrated system as well. In this paper,the basic structure of integrated system with P2G stations is constructed and a generation method of the scenario set is proposed,then a detailed two-stage coordinated optimal model for integrated systems with P2G stations and gas/power storage devices is presented,which includes the network and coupling device constraints. Moreover,a piecewise linear method is used to linearize the natural gas flow which makes the model into a mixed integer programming problems. At last,numerical results on the IEEE 39-bus system and a modified 6-node natural gas systems verify the effectiveness of the proposed model.
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