Abstract: In the context of the reform of the power system, a reasonable assessment of the adaptability of retail electricity price packages is of great significance for controlling grid operation risks and advancing reforms on the electricity sales side. Aiming at the characteristics of China's electricity market and general industry and commerce, firstly we set up an evaluation index system for general industrial and commercial retail electricity price packages from the perspectives of competition, users, and market environment; Secondly, we combine the AHP and the improved gray whitening weight function to carry out electricity price packages adaptive evaluation; Finally, an optimization model based on the ant colony algorithm is established for this evaluation method, and the optimization scheme for increasing the adaptability level of the electricity price package is obtained at the minimum cost, and it is verified that the method has good robustness and has certain reference significance.

Key words: retail electricity price package, adaptive evaluation, triangular whitening weight function, ant colony algorithm

摘要： 在电力体制改革的大背景下,合理评估零售电价套餐适应性,对控制电网经营风险和推进售电侧改革有重要意义。针对我国电力市场以及一般工商业的特点,首先从竞争、用户以及市场环境角度出发建立了一般工商业零售电价套餐评估指标体系;其次将层次分析法和改进的灰色白化权函数相结合,对电价套餐进行适应性评估;最后针对该评估方法建立了基于蚁群算法的优化模型,以最小成本得到提高电价套餐适应性等级的优化方案,并验证了该方法具有良好的鲁棒性,具有一定的参考意义。

关键词: 零售电价套餐, 适应性评估, 三角白化权函数, 蚁群算法