caa a22 4500 60546958X CHVBK 20210128100323.0 cr unu---uuuuu 210128e20151001xx s 000 0 eng 10.1007/s00500-014-1441-3 doi (NATIONALLICENCE)springer-10.1007/s00500-014-1441-3 An improved gravitational search algorithm for solving short-term economic/environmental hydrothermal scheduling [Elektronische Daten] [Hao Tian, Xiaohui Yuan, Yuehua Huang, Xiaotao Wu] This paper proposes an improved gravitational search algorithm (IGSA) to find the optimum solution for short-term economic/environmental hydrothermal scheduling (SEEHTS), which considers minimizing fuel cost as well as minimizing pollutant emission. In order to improve the performance of GSA, this paper firstly uses particle memory character and population social information to update velocity. Secondly, a chaotic mutation operator is embedded into GSA and a selection-operator-based greedy rule is adopted to update population. When dealing with the constraints of the SEEHTS, a modification strategy by dividing the violation water volume into several parts and randomly selecting intervals to adjust the water discharge gradually is proposed to handle the water dynamic balance constraints. Meanwhile, a new symmetrical adjusting strategy is adopted to handle reservoir storage constraints. Furthermore, the priority index strategy based on thermal power output is applied to handle system load balance constraints. To test the performance of the proposed method, simulation results have been compared with those obtained by particle swarm optimization, evolutionary programming and differential evolution reported in literature. The results show that the proposed IGSA provides the optimum solution with less fuel cost and smaller emission. So it demonstrates that IGSA is effective for solving SEEHTS problem. Springer-Verlag Berlin Heidelberg, 2014 Economic/environmental scheduling nationallicence Gravitational search algorithm nationallicence Constraints handling nationallicence Chaotic mutation nationallicence Priority index nationallicence Tian Hao School of Hydropower and Information Engineering, Huazhong University of Science and Technology, 430074, Wuhan, China aut Yuan Xiaohui School of Hydropower and Information Engineering, Huazhong University of Science and Technology, 430074, Wuhan, China aut Huang Yuehua College of Electrical Engineering and New Energy, China Three Gorges University, 443002, Yichang, China aut Wu Xiaotao School of Hydropower and Information Engineering, Huazhong University of Science and Technology, 430074, Wuhan, China aut Soft Computing Springer Berlin Heidelberg 19/10(2015-10-01), 2783-2797 1432-7643 19:10<2783 2015 19 500 https://doi.org/10.1007/s00500-014-1441-3 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00500-014-1441-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Tian Hao School of Hydropower and Information Engineering, Huazhong University of Science and Technology, 430074, Wuhan, China aut NATIONALLICENCE 700 1- Yuan Xiaohui School of Hydropower and Information Engineering, Huazhong University of Science and Technology, 430074, Wuhan, China aut NATIONALLICENCE 700 1- Huang Yuehua College of Electrical Engineering and New Energy, China Three Gorges University, 443002, Yichang, China aut NATIONALLICENCE 700 1- Wu Xiaotao School of Hydropower and Information Engineering, Huazhong University of Science and Technology, 430074, Wuhan, China aut NATIONALLICENCE 773 0- Soft Computing Springer Berlin Heidelberg 19/10(2015-10-01), 2783-2797 1432-7643 19:10<2783 2015 19 500