计及风电出力随机特性的电-气综合能源系统随机优化

不断成熟的电转气 （power to gas, P2G） 技术和燃气机组为电力系统和天然气系统的双向耦合和闭环运行, 进而形成电-气综合能源系统 （integrated electricity-gas energy system, IEGES） 奠定了基础。IEGES的发展有助于提升电力系统和天然气系统运行的灵活性, 并为消纳风电等间歇性可再生能源发电提供新途径。在此背景下, 研究了含P2G装置和燃气机组的IEGES的随机优化策略。首先, 构建了计及风电出力随机特性的IEGES随机优化模型, 以运行成本最小化为优化目标, 并考虑了电力系统和计及管存影响的天然气系统的相关运行约束。其中, 利用快速搜索密度聚类算法对历史风速数据进行场景聚类, 以处理风电出力的随机特性。然后, 采用AMPL/IPOPT商业求解器求解所建立的随机优化模型。最后, 以修改的IEEE 39节点电力系统和比利时20节点天然气系统所构成的IEGES为例, 对所构建的优化模型和采用的求解方法进行说明。

Stochastic Optimization in Integrated Electricity-Gas Energy Systems Considering Stochastic Characteristics of Wind Power Outputs

The power to gas （P2G） technology and natural gas generation units （NGGUs） facilitate the bidirectional coupling and hence closed-loop operation between a power system and a natural gas system concerned, and the development of an integrated electricity-gas energy system （IEGES）. IEGES can help promote the operation flexibility of the power system and natural gas system concerned and offer a potential alternative to accommodate intermittent generation from wind power and other renewable energy sources. Given this background, stochastic optimization strategies in IEGES with P2G facilities and NGGUs are addressed. First, a stochastic optimization model of IEGES with stochastic characteristics of wind power output is presented, with an objective of minimizing the overall operation costs, and the operation constraints in both the power system and natural gas system. Among them, by employing a fast searching density clustering algorithm, historical wind speed data are clustered so as to simulate the stochastic characteristics of wind power outputs. Then, the commercial solver AMPL/IPOPT is used to solve the presented stochastic optimization model. Finally, a sample IEGES with a modified version of the IEEE 39-node power system and the Belgium 20-node natural gas system included is employed to demonstrate the proposed method.