居民负荷需求响应参与度的物理影响因素分析

需求响应(Demand Response,DR)参与度是评价用户群体响应参与积极性与需求响应策略合理性的重要指标,也是电力相关部门更新DR策略的参考依据。在研究居民负荷响应模型的基础上,建立以居民负荷DR参与度最大为目标的需求响应概率优化模型;当需求响应范围足够大时,将所提概率优化模型等效为一系列混合整数规划问题,极大地降低了问题的求解难度,保证了最优解的全局唯一性;量化物理影响因素对DR参与度的作用,分析影响趋势及程度,结果表明:(1)能精准求解需求响应概率优化模型,获得DR参与度;(2)不同物理影响因素对DR参与度的作用趋势及程度各异,制定政策时需酌情考虑并调节分析。

Analysis on Physical Influence Factors of Demand Response Engagement of Residential Load

Demand Response (DR) engagement does not only constitute an important indicator for the evaluation of the enthusiasm of user group participation and the rationality of DR strategies,but also provides power-relatedsectors with references for updating their DR strategies.Based on a study on the residential load response model,we establish a demand response probability optimization model,targeting at maximal residential load DR engagement.When DR range is large enough,we make the proposed probability optimization model equivalent to programming of a series of mixed integers,thus greatly reducing the difficulty in solving the problem and ensuring global uniqueness of the optimal solution.The action of physical influence factors on DR engagement is quantified,and the influence trend and extent is analyzed.The results demonstrate that the proposed approach can accurately solve the DR probability optimization model and obtain DR engagement,and that the trends and degree of actions of different physical factors upon DR engagement differ from each other so that when stipulating policies,one has to consider all these implications according to circumstances and make necessary regulation and analysis.