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Emission and Environmental Goals in Decision Making Modeling for Load Dispatch

机译:负载调度建模的决策中的排放和环境目标

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The main purpose of this research is to determine the generation quantity of each generator in a power system. In this way, not only will the electricity demanded by the system be supplied, but the cost of fuel along with the level of pollution can be minimized. Obviously, calculation of the optimal layout of power plants with the aim of minimizing fuel costs and pollutants level contributes to sustainable socio-economic development. For this purpose, modeling a multi-objective decision making framework by means of the weighting method makes it possible to attain the mentioned goals. After modeling the goals and constraints of the power system, the problem associated with economic-environmental load dispatch with the Institute of Electrical and Electronics Engineers 30-Bus data is optimized by means of the Lagrange approach. Moreover, the sensitivity analysis in connection with the weight of short-term costs is conducted to determine the final point of the system usage. Results show that if the importance coefficient of the fuel cost reduction is 1 (W=1), the economic and environmental load dispatch will pose some problems for the economic load dispatch. In contrast, if the importance coefficient of the reducing fuel cost is zero (W=0), the economic and environmental load dispatch will become problematic for environmental load dispatch. Incidentally, the trade off curve of the fuel cost and the pollutant amount involves the functional information for the system operator. The current research is mainly innovative in its use of a method to reduce fuel consumption and environmental impacts on emission at optimization process. This can, in turn, lead to generation of sustainable energy.
机译:本研究的主要目的是确定电力系统中每个发电机的发电量。通过这种方式,不仅可以提供系统所需的电力,而且可以最小化燃料成本以及污染水平。显然,计算发电厂的最佳布局,目的是最大限度地降低燃料成本和污染物水平,有助于可持续的社会经济发展。为此目的,通过加权方法建模多目标决策框架使得可以获得提到的目标。在建模电力系统的目标和约束之后,通过拉格朗日方法优化了与电气和电子工程师协会30母线数据相关的与经济环境负载调度的问题。此外,进行了结合短期成本重量的灵敏度分析,以确定系统使用的最终点。结果表明,如果燃料成本减少的重要系数为1(W = 1),经济和环境负荷派遣将对经济负担调度产生一些问题。相比之下,如果降低燃料成本的重要性系数为零(W = 0),则经济和环境载荷调度将成为环境载荷调度的问题。顺便提及,燃料成本的贸易曲线和污染物量涉及系统运营商的功能信息。目前的研究主要是在利用一种方法来降低燃料消耗和环境影响的优化过程中的影响。反过来,这可能导致可持续能源的产生。

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