【摘要】 为保证园区电力运营经济性，提高清洁电能的使用比例，文章提出了一种基于绿电和自愿减排量交易的园区低碳电力运营优化模型。该模型综合考虑了绿电和火电的购电成本、光伏发电成本及自愿减排量收益，以总运营成本最小为目标函数，结合随机概率约束，分中长期、日前和实时三阶段对绿电、火电电量以及光伏发电量进行优化。以南京市某企业园区的数据为基础，在自愿减排量价格合理的前提下，该优化模型可小幅降低园区总运营成本，并且显著提高了清洁电能的使用比例和园区应对扰动的能力。另外，就自愿减排量价格以及置信度取值对优化结果的影响进行了分析。更多还原

【Abstract】 To ensure the economy of power operation in parks and increase the proportion of clean electric energy, an optimization model of low-carbon power operation in parks based on green power and voluntary emission reduction transactions is proposed. This model comprehensively considers the purchase cost of green power and thermal power, the cost of photovoltaic power generation, and the income from voluntary emission reductions. The objective function is to minimize the total operating cost, and green electricity, thermal power generation and photovoltaic power generation are optimized with combination of random probability constraints in three stages: medium-and long-term, day-ahead and real-time. Based on the data of an enterprise park in Nanjing, the analysis results show that under the reasonable price of voluntary emission, the optimization model can slightly reduce the total operating cost of the park, and significantly improve the use ratio of clean electric energy and the park’s ability to cope with disturbances. In addition, the impacts of the voluntary emission reduction price and confidence value on the optimization results are analyzed.更多还原