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Multi-objective economic emission dispatch considering combined heat and power by normal boundary intersection method

机译:法向边界交会的热电联产多目标经济排放调度

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摘要

Pollutant gas emission concern is one of the most challenging issues in electric power systems putting excessive pressure on different participants of electricity markets. Integrating renewable energy sources and application of Combined Heat-and-Power to thermal power plants which are applied by system operators have many advantages, such as reducing green-house gas emission. This paper addresses a multi-objective electric model to integrate the generation of thermal units considering heat and power dispatch. The objective functions of the proposed multi-objective framework comprise simultaneous minimization of cost and thermal units' emission as well as maximizing heat generation. Normal-Boundary Intersection method is implemented to solve the proposed model and TOPSIS decision making approach has been employed to find the optimal Pareto solution as the best tradeoff between cost, greenhouse gas emission and heat generation. The results obtained in this paper are compared with the ones derived from other techniques recently used and verify the effectiveness and efficiency of the proposed multi-objective method. Besides, it is found that the solutions obtained by incorporating the lexicographic optimization and Normal Boundary Intersection method are exceptional in the case of fuel cost, emission and execution time. (C) 2015 Elsevier B.V. All rights reserved.
机译:污染气体排放问题是电力系统中最具挑战性的问题之一,给电力市场的不同参与者带来了巨大压力。集成可再生能源并将热电联产应用到系统运营商所拥有的火电厂中具有许多优势,例如减少温室气体排放。本文提出了一个多目标电模型,该模型综合了考虑热量和功率分配的热量单元的生成。所提出的多目标框架的目标功能包括同时最小化成本和热量单位的排放以及最大化热量的产生。采用正边界交会法求解提出的模型,并采用TOPSIS决策方法找到最优的帕累托解法,作为成本,温室气体排放和热量产生之间的最佳折衷方案。将本文获得的结果与最近使用的其他技术得出的结果进行比较,并验证了所提出的多目标方法的有效性和效率。此外,发现在燃料成本,排放和执行时间方面,通过结合词典优化和法向边界相交方法获得的解决方案是出色的。 (C)2015 Elsevier B.V.保留所有权利。

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