An overview of quad-generation system for smart grid using PLC

Muhammad Kashif, M. Naeem, Muhammad Iqbal, W. Ejaz, A. Anpalagan
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Abstract

In this chapter, we reviewed different optimization formulations being used to optimize the design, operation, and planning of the CHP, CCHP, and quad-generation systems. Mathematical formulations of commonly used objective functions, namely, cost minimization, efficiency maximization, and GHGEs minimization have been elaborated. We also presented various optimization algorithms and the simulation tools being used to solve the optimization formulations. The chapter can serve as a foundation stone for the beginners in this research area. It can also serve as guide for the practitioners to optimally design, deploy, and operate the multigeneration power systems. This chapter considered the optimization classification, algorithms, and tools related to multigeneration system in general. The future study may be more specific to the application of optimization related to real-world problem arising by the use of CCHP in various buildings in different time zones. The problems may be further classified as single-objective and multiobjective optimization problems which may prove more fruitful for the optimization ofmultigeneration systems under various conditions and scenarios.
基于PLC的智能电网四代发电系统概述
在本章中,我们回顾了用于优化热电联产、热电联产和四代系统的设计、运行和规划的不同优化公式。阐述了常用目标函数的数学公式,即成本最小化、效率最大化和温室气体最小化。我们还介绍了各种优化算法和用于求解优化公式的仿真工具。本章可以作为这个研究领域的初学者的基石。同时也可以为多电联产系统的优化设计、部署和运行提供指导。本章主要研究了多代系统的优化分类、算法和工具。未来的研究可能会更具体地针对不同时区的各种建筑物使用CCHP所产生的现实问题进行优化应用。该问题可进一步分为单目标优化问题和多目标优化问题,这两类问题对于多代系统在各种条件和场景下的优化更为有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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