考虑用电行为偏好的空调负荷代理商市场报价策略研究

Bidding strategy for air⁃conditioning load aggregator considering consumers’behaviour preference

中文关键词: 空调负荷  电力市场  用户偏好  双层优化  KKT条件

英文关键词: air conditioning load  electricity market  consumers’preference  bilevel optimization  KKT condition

中文摘要:

      随着空调负荷耗电比重上升，空调负荷代理商通过代理系统中数量庞大而分散的空调参与市场竞价，不但有利于降低峰谷差，同时也给空调提供了参与市场竞价的机会。通过引入行为经济学的参考效应（reference price effect）描述用户的用电行为偏好，空调负荷代理商基于用户用电特征进行报价，提出了参与电力市场竞价的双层优化模型。上层以社会效益最大化为目标，下层以空调负荷代理商效益最大为目标。通过KKT（Karush Kuhn Tucker）条件将双层优化模型转化为单层优化模型。最后通过算例仿真分析，验证了本文所提模型可行性。

英文摘要:

      Considering the increment of air conditioning electricity consumption, air conditioning load aggregators（ALA）are prone to participate in bidding electricity market by managing enormous quantity and dispersive air conditioning load （AL）,which not only reduces load peak valley difference, but also provides the opportunity for AL to take part in power market bidding.This work adopts reference price effect from behaviour economics to depict electricity consumption preference. A bilevel optimization method is established. The upper level problem aims to maxi mize the social welfare, while the lower level aims to maximize the ALA benefits based on consumers’preference. Karush Kuhn Tucker condition is applied to transfer the complex bilevel problem to a solvable single level problem. Case studies are provided to verify the feasibility of the proposed model.