考虑风电消纳能力的电-气集成系统多目标运行优化

摘 要：以电力-天然气集成系统为代表的综合能源系统可以充分利用各类能源载体的运行特性，提升电力系统接纳间歇性可再生能源发电的能力。另一方面，电-气集成系统的整体运行费用、消纳间歇性可再生能源发电能力和网络损耗与风电等间歇性可再生能源发电的渗透水平率密切相关，因此有必要对考虑风电消纳能力的电-气集成系统多目标优化运行策略展开研究。首先，以最小化电-气集成系统运行费用、弃风成本和网络损耗为目标函数，建立考虑风电消纳能力的电-气集成系统运行优化的多目标混合整数非线性优化模型。接着，对优化模型中的非线性约束条件进行线性化处理，将原模型转化为混合整数线性规划问题。然后，利用基于增强ε约束的多目标优化方法求解所建立的优化模型，获得帕累托最优解集，并采用模糊综合评估方法寻找最优折中解。最后，利用修改的IEEE 39节点电力系统和比利时20节点天然气系统所构成的电-气集成系统对所提方法的可行性和有效性进行验证。

Multi-objective Operation Optimization for Integrated Electricity and Gas Systems Considering the Accommodation Capability of Wind Power

An integrated electric power and natural gas system, as a special example of an integrated energy system, is of great potential for promoting the accommodating capability of intermittent renewable energy generation through flexible operation of various energy carriers. However, the overall operation cost and energy transmission loss may suffer from significant changes depending on the penetration level of renewable energy sources. It is necessary to study the multi-objective optimal operation strategy for integrated electric power and gas systems considering the accommodation of wind power generation. First, a multi-objective operation optimization model is established by minimizing the operation cost, wind power curtailment and energy loss of the integrated electric power and gas system. Then, the nonlinear constraints are simplified by piecewise linearization, and the original mixed integer nonlinear planning model is then transformed into a mixed integer linear planning one. Moreover, the multi-objective optimization technique based on the augmented ε-constraint method is employed to solve the model, and the fuzzy comprehensive evaluation is employed to find the compromised optimal solution from the attained Pareto optimal solutions. Finally, an integrated and revised version of the IEEE 39-bus power system and the Belgium 20-bus natural gas system is served to demonstrate the feasibility and efficiency of the proposed method.