This paper introduces a novel evolutionary algorithm namely modified exchange market algorithm (MEMA) to solve the various problems in the power system operation topics such as combined heat and power economic emission dispatch (CHPEED), and multi-area economic dispatch (MAED) in the presence of renewable energy sources (RESs). The MEMA is a new version of the EMA that has been modified to improve its performance and to find a better solution with high robustness. To scrutiny the applicability of the MEMA, it is employed to solve the different problems with considering RESs. Also, to prove the scalability and evaluate the performance of the proposed method, several large and small scale test systems are used in each case. Also, three different approaches are considered to investigate the impacts of RESs. In the first approach, RESs are assumed to be a negative load, while in the latter case, their cost impacts on the problem are also considered. Finally, in the last approach, the uncertainty of RES and its stochastic nature are considered. In all test systems, the results obtained by the proposed method are compared with the results of other suggested techniques in this era. Also, the robustness of the proposed method is investigated using parametric and non-parametric statistical tests. The comparative and statistical analysis confirm the superiority and robustness of the proposed method over the other methods in all test systems.

本文介绍了一种新的进化算法，即修正交易市场算法（MEMA），解决了电力系统运行中的各种问题，如热电联产和电力经济排放调度（CHPEED），多区域经济调度（MAED）。存在可再生能源（RESs）。MEMA是EMA的新版本，已对其进行了修改，以提高其性能并找到具有高鲁棒性的更好解决方案。为了检查MEMA的适用性，它被用来解决考虑RES的各种问题。另外，为了证明可扩展性和评估所提出方法的性能，在每种情况下都使用了几种大型和小型测试系统。此外，考虑了三种不同的方法来调查RES的影响。在第一种方法中 RES被假定为负负载，而在后一种情况下，还考虑了其​​对问题的成本影响。最后，在最后一种方法中，考虑了RES的不确定性及其随机性。在所有测试系统中，将通过提议的方法获得的结果与该时代其他建议的技术的结果进行比较。此外，使用参数和非参数统计检验研究了所提出方法的鲁棒性。比较和统计分析证实了该方法在所有测试系统中相对于其他方法的优越性和鲁棒性。通过该方法获得的结果与该时代其他建议技术的结果进行了比较。此外，使用参数和非参数统计检验研究了所提出方法的鲁棒性。比较和统计分析证实了该方法在所有测试系统中相对于其他方法的优越性和鲁棒性。通过该方法获得的结果与该时代其他建议技术的结果进行了比较。此外，使用参数和非参数统计检验研究了所提出方法的鲁棒性。比较和统计分析证实了该方法在所有测试系统中相对于其他方法的优越性和鲁棒性。