A comprehensive review of heuristic optimization algorithms for optimal combined heat and power dispatch from economic and environmental perspectives
A comprehensive review of heuristic optimization algorithms for optimal combined heat and power dispatch from economic and environmental perspectives
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DOI：
10.1016/j.rser.2017.06.024
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发表时间：
2018
影响因子：
15.9
通讯作者：
M. Nazari-Heris;B. Mohammadi-ivatloo;G. Gharehpetian
中科院分区：
文献类型：
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作者：
M. Nazari-Heris;B. Mohammadi-ivatloo;G. Gharehpetian
热电联产经济调度（CHPED）旨在最大限度地降低热电机组的运行成本，满足若干等式和不等式运行和电网约束。 CHPED 的处理应考虑传统火力发电厂的阀点负荷影响、系统的电力传输损失、生产装置的发电能力限制以及热电联产装置的热电依赖性约束。首次提出了几种传统的优化算法来提供发电和热力发电装置的最佳生产调度。最近，基于经验的算法（称为启发式和元启发式优化程序）被引入来解决 CHPED 优化问题。本文对启发式优化算法在 CHPED 问题解决中的应用进行了全面综述。此外，本文还研究了最流行的启发式和元启发式优化算法，并讨论了考虑目标函数和不同约束的 CHPED 问题求解优化程序的实现。详细研究和讨论了所评论论文的主要贡献。此外，本文还报告了不同研究处理的平等和不平等约束的主要考虑因素。考虑使用五个测试系统来评估不同优化技术的性能。展示了通过对测试实例采用多种启发式和元启发式优化方法获得的最优解，并在收敛速度、获得的最优解和约束方面对所引入的方法进行了比较。通过采用不同的优化方法，为五个测试系统提供了运行成本方面的最佳解决方案。
Combined heat and power economic dispatch (CHPED) aims to minimize the operational cost of heat and power units satisfying several equality and inequality operational and power network constraints. The CHPED should be handled considering valve-point loading impact of the conventional thermal plants, power transmission losses of the system, generation capacity limits of the production units, and heat-power dependency constraints of the cogeneration units. Several conventional optimization algorithms have been firstly presented for providing the optimal production scheduling of power and heat generation units. Recently, experience-based algorithms, which are called heuristic and meta-heuristic optimization procedures, are introduced for solving the CHPED optimization problem. In this paper, a comprehensive review on application of heuristic optimization algorithms for the solution of CHPED problem is provided. In addition, the most popular heuristic and meta-heuristic optimization algorithms are studied in this paper, and implementation of the optimization procedures for the solution of CHPED problem taking into account the objective functions and different constrains are discussed. The main contributions of the reviewed papers are studied and discussed in details. Additionally, main considerations of equality and inequality constraints handled by different research studies are reported in this paper. Five test systems are considered for evaluating the performance of different optimization techniques. Optimal solutions obtained by employment of multiple heuristic and meta-heuristic optimization methods for test instances are demonstrated and the introduced methods are compared in terms of convergence speed, attained optimal solutions, and constrains. The best optimal solutions for five test systems are provided in terms of operational cost by employment of different optimization methods.