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中文摘要：
从分布式能源系统的优化研究着手,建立了兼容需求侧可调控资源的分布式能源系统经济优化运行模型,充分考虑了分布式能源系统中的电负荷、热负荷和冷负荷。其次,为能够解决上述多目标、非线性优化问题,提出了量子烟花算法（quantum fireworks algorithm,QFA）。最后,将所提出的模型及求解算法应用于我国西北地区某分布式能源系统的实际算例中,仿真结果表明：当分布式能源系统参与需求侧负荷优化管理时,系统总成本减少约6.17%;此外,验证了QFA算法求解此类问题的可行性。
英文摘要：
Starting with research on distributed energy systemoptimization, this paper builds an economic optimization operation model for distributed energy system considering controllable load resources on demand side. The model involves electric, heating and cooling loads. Secondly, to solve multi-objective nonlinear optimization problem, it proposes quantum fireworks algorithm（QFA）. Finally, the proposed model and solution algorithm are applied to an actual case of distributed energy system in Northwest China. The result shows that total system cost is reduced by about 6.17% when distributed energy system is involved in demand-side load management. In addition, the result verifies validity and feasibility of QFA in solving this type of problem.
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