考虑市场计划的微能源网双层优化配置方法

微能源网多能协同运行、消纳清洁能源发电的作用在“双碳”目标和新型电力系统背景下具有广泛的应用价值。但是随着风光接入规模日益增大,风光出力的不确定性势必会影响微能源网运行的稳定性。为此,本文充分考虑风光出力不确定性与相关性,提出了一种考虑市场计划的微能源网双层优化配置方法。首先,基于Wasserstein距离指标将风光概率分布最优离散化处理,采用Frank-Copula函数建立风光出力联合分布函数,生成典型日出力场景;然后,考虑电力市场与天然气市场计划经济性,建立微能源网双层优化配置模型,实现设备配置与系统运行的紧密耦合;最后,基于某地区微能源网实测数据生成典型风光出力场景进行优化计算,算例结果表明,双层优化配置方法可以降低微能源网的年化成本,增加对风光极限信息的包容性,提高系统运行的经济性与稳定性。

Two-layer optimization configuration method of micro-energy grid considering market plan

The role of micro-energy network in multi-energy coordinated operation and absorption of clean energy for power generation has broad application value in the context of "double carbon" goal and new power system. However, with the increasing scale of wind and power access, the uncertainty of wind and power output will in-evitably affect the stability of the operation of the micro-energy network. Therefore, this paper fully considers the uncertainty and correlation of wind power and photovoltaic power generation output, and proposes a two-layer optimal allocation method of micro-energy network considering market planning. Firstly, based on Wasserstein distance index, the probability distribution is optimally discretized, and a joint distribution function is established using Frank-Copula function to generate a typical daily output curve; Then, considering the planned economy of electricity market and natural gas market, a two-layer optimal configuration model of mi-cro-energy network is established to realize the close coupling between equipment configuration and system op-eration; Finally, based on the measured data of a micro-energy network in a certain area, a typical wind and solar output curve is generated for optimization calculation. The results of an example show that the two-layer optimal configuration method can reduce the annual cost of the micro-energy network, increase the inclusiveness of the wind and solar limit information, and improve the economy and stability of the system operation.