Generation of electricity comes with the emission of toxic gases into the atmosphere by the fossil fueled generators. Along with the promotion in the utilization of renewable energy sources (RES), it is also the duty of the power engineers to arrive at a compromised solution such that less emission of toxic gases occurs with economic generation of electricity. This paper proposes a balanced trade-off method for solving environment constrained economic dispatch (ECED) problems. A novel comparative analysis is performed among proposed ECED method with existing price-penalty-factor (PPF) and fractional programming (FP) methods for solving combined economic emission dispatch (CEED) problems on a 3-unit dynamic test system to sort out the method, which yields a better trade off solution between generation cost and pollutants emitted. An algorithm, following the hunting strategy of wolves, is improvised by incorporating strategies from population-based sine-cosine algorithm along with position updating methods of crows to form a robust hybrid algorithm, which was used as the optimization tool for the study. Involvement of RES diminished the generation cost to 5.5% for both economic dispatch and PPF based CEED, and 6.5% decrease in emission of pollutants was observed due to the same. The generation cost and amount of emitted pollutants, evaluated using proposed ECED approach, were much closer to the economic dispatch and emission dispatch values respectively compared to PPF based and FP based CEED solution. Furthermore, statistical analysis endorses the superiority of the proposed hybrid optimizer over other algorithms presented in the state-of-art literature.

发电伴随着由化石燃料产生的有毒气体向大气中的排放。随着可再生能源（RES）利用率的提高，电力工程师还有责任寻求一种折衷的解决方案，以减少经济发电产生的有毒气体的排放。本文提出了一种平衡的折衷方法来解决环境约束的经济调度（ECED）问题。在提出的ECED方法与现有的价格惩罚因子（PPF）和分数规划（FP）方法之间进行了新颖的比较分析，以解决3单元动态测试系统上的组合经济排放调度（CEED）问题，从而对方法进行了分类，这将在发电成本和排放污染物之间提供更好的折衷解决方案。一种算法 遵循狼的狩猎策略，通过将基于种群的正弦余弦算法与乌鸦的位置更新方法相结合，以形成鲁棒的混合算法，从而完善了鲁棒的混合算法，将其作为研究的优化工具进行了改进。RES的参与将经济调度和基于PPF的CEED的发电成本均降低到5.5％，并且由于该因素，污染物排放降低了6.5％。与基于PPF和基于FP的CEED解决方案相比，使用拟议的ECED方法评估的发电成本和排放污染物的数量分别更接近经济调度和排放调度值。此外，统计分析认可了所提出的混合优化器优于现有技术文献中提出的其他算法的优势。