考虑经济环境平衡的风光火联合外送调度策略多目标优化

风光火电联合调度运行是推动可再生能源发展的重要途径，并对发电调度策略提出了新要求。文章在经济环境平衡的原则下，以企业购电成本最小、可再生能源发电量最大、可再生能源出力波动最小为目标构建风光火电联合调度多目标优化模型，使用主要目标优先级法转成单目标规划后借助Lingo软件求解，并应用于天中直流输电工程的配套电源中，通过4个季节下的典型日调度结果对比分析，验证了所提出的优化模型在促进可再生能源消纳和节能减排方面的作用。此外，辅助服务费用纳入购电成本使得火电机组负荷分配更加平均。

Multi-objective Optimization of Combined Wind-Solar-Thermal Power Dispatching Strategy Considering Economic-Environmental Equilibrium

The combined dispatching and operation of wind-solar-thermal power system is an effective way to promote the development of renewable energy, which puts forward new requirements for power generation dispatching strategy. In this paper, under the principle of economic-environmental equilibrium, a multi-objective optimization model for combined dispatching of wind-solar-thermal power is constructed with the objectives of minimum power purchase cost, maximum renewable energy generation, and minimum fluctuation of renewable energy output. The main objective priority method is used to transform the model into single objective programming and then solved by Lingo software. The model is applied to the matching power supply of Tianzhong HVDC transmission project. Through the comparative analysis of typical daily dispatching results in four seasons, the role of the proposed optimization model in promoting renewable energy consumption, energy saving, and emission reduction is verified. In addition, the inclusion of auxiliary service fees into power purchase costs makes the load distribution of thermal power units more evenly.