基于多元负荷平准化的区域建筑群混合优化
Mixture optimization of building complexes based on leveling of multiple loads
摘要：
以区域内多类型建筑的多元负荷为研究对象，提出了基于最大负荷和平均负荷的波动率指标。构建了以区域建筑群整体负荷波动最小为目标的建筑混合比优化模型，并采用遗传算法进行求解分析。针对典型区域建筑群，分析了模型优化目标、冷热电负荷权重、区域类型对建筑混合比的影响，并探讨了典型日多元负荷及其热电比的平准化效果。
Abstract：
Focusing on multiple loads in multi-type buildings, proposes volatility indexes based on the maximum load and the average load. Taking the minimum volatility index as the objective function, develops an optimization model for the determination of mixing ratio of building complexes within a local area, and solves the problem with the genetic algorithm. According to the load profiles of typical building complexes, analyses the influence of objective function, weights of different loads and area type on the optimal mixing ratio, and discusses the leveling results of multiple loads and corresponding heat-to-power ratios on typical days.
Keywords:multipleloads,volatility,optimizationmodel,geneticalgorithm,mixingratio,leveling