In this paper, optimal heat and power dispatch of the fuel cell (FC) and combined heat and power (CHP) based microgrid (MG) in grid-connected mode is studied in the presence of demand response program (DRP). Considering cost and emission minimization has turned this study to a multi-objective problem. Multiple generating and storing units such as FC, CHP, power-only unit, boiler, battery storage system, and heat buffer tank are considered in investigated MG. Also, demand response program has been modeled, and the effects of such programs on the load profile have been discussed. The DRP transfers some amount of load from peak periods to other periods which flats the load curve and minimizes total cost and emission of the MG. To solve the multi-objective optimization problem, the Pareto solutions are generated by using the compromising programming, then, optimal solution is chosen by implementing the fuzzy satisfying approach. In comparison with other methods, the proposed method has reduced the set of efficient solutions to a more reasonable size without demanding any information about the decision making parameters. Finally, the problem is solved in two cases as with and without DRP to clarify the impact of DRP on MG scheduling.

本文在存在需求响应程序（DRP）的情况下，研究了并网模式下燃料电池（FC）和基于热电联产（CHP）的微电网（MG）的最佳热电分配。考虑到成本和排放的最小化，这项研究已经变成了一个多目标的问题。在研究的MG中考虑了多个发电和存储单元，例如FC，CHP，仅功率单元，锅炉，电池存储系统和热缓冲罐。此外，已经对需求响应程序进行了建模，并且已经讨论了此类程序对负载曲线的影响。DRP将一定量的负载从高峰时段转移到其他时段，从而使负载曲线平坦，并使总成本和MG的排放降至最低。为了解决多目标优化问题，使用折衷的编程方法生成了Pareto解，然后，通过实现模糊满意的方法来选择最佳解决方案。与其他方法相比，所提出的方法将有效解决方案的集合减少到更合理的大小，而无需任何有关决策参数的信息。最后，在有和没有DRP的两种情况下解决了该问题，以阐明DRP对MG调度的影响。