Multi-objective complementary scheduling of hydro-thermal-RE power system via a multi-objective hybrid grey wolf optimizer
Multi-objective complementary scheduling of hydro-thermal-RE power system via a multi-objective hybrid grey wolf optimizer
复制标题
基于多目标混合灰狼优化器的水热可再生能源电力系统多目标互补调度
DOI：
10.1016/j.energy.2018.12.213
复制
发表时间：
2019-03-15
期刊：
影响因子：
9
通讯作者：
Chen, Deshu
中科院分区：
文献类型：
--
作者：
Li, Chaoshun;Wang, Wenxiao;Chen, Deshu
本文提出了一种新的水热可再生电力系统（HTRPS）短期多目标互补调度问题。经济/排放目标不同于传统的经济/排放负荷调度问题，它考虑火电机组的开关状态以及参与机组之间的调度负荷作为各种复杂非线性约束下的优化变量。针对混合优化变量模型的求解，提出了一种多目标混合灰狼优化算法，其中连续和离散优化变量同步编码和优化。研究了由梯级水电站、火电机组和可再生能源（RE）电厂组成的混合电力系统的日常调度仿真实例，以测试所提出的模型和算法。结果不仅证明了与竞争对手相比，所提出的算法可以实现经济/排放双目标的最佳帕累托前沿，而且还证实了所获得的调度方案完全在可行域内。此外，还分析了可再生能源容量对电力系统的影响。结果表明，可再生能源与水电站联合运行有利于经济和排放目标，当混合系统中可再生能源容量从50%增加到100%时，运行成本和污染排放量分别下降11.9%和17.4%。 (C) 2018 Elsevier Ltd. 保留所有权利。
This paper presents a new short-term multi-objective complementary scheduling problem for hydrothermal-renewable power systems (HTRPSs). The economic/emission objectives, different from traditional economic/emission load dispatch problems, consider the on/off status of thermal power units as well as the dispatched load among engaged units as the optimization variables under various complicated nonlinear constraints. To solve the model with hybrid optimization variables, a multi-objective hybrid grey wolf optimization algorithm is proposed, in which continuous and discrete optimization variables are encoded and optimized synchronously. A daily scheduling simulation example of a hybrid power system consisting of cascade hydropower stations, thermal power units, and renewable energy (RE) power plants is studied to test the proposed model and algorithm. The results not only demonstrate that the proposed algorithm can achieve the best Pareto front for economic/emission bi-objectives compared to its competitors, but also confirm that the obtained scheduling schemes are completely within the feasible domain. Moreover, the impact of RE capacity on the power system is analyzed. Results indicate that the joint operation of RE and hydropower stations benefit both the economic and emission objectives, and the operational costs and pollution emissions decrease by 11.9% and 17.4%, respectively, when the RE capacity increases from 50% to 100% in the hybrid system. (C) 2018 Elsevier Ltd. All rights reserved.