Research on multi-heat-source scheduling strategy of heating system based on improved fireworks algorithm

In this paper, the heating system of the airport energy station is taken as the research object. Aiming at the existing scheduling strategy of multi-heat-source heating system is difficult to achieve the optimal system working condition on the premise of meeting the needs of users. An intelligent sc...

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Autores principales:	Leilei Hui, Junqi Yu, Anjun Zhao, Fu Wang, Xiaohan Yang, Min Zhou
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Multi-heat-source heating system Intelligent scheduling strategy Improved fireworks algorithm Multi-objective optimization Operation cost Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/09edd3773d674ef08dcfdc4c510ec468
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spelling	oai:doaj.org-article:09edd3773d674ef08dcfdc4c510ec4682021-11-20T05:07:06ZResearch on multi-heat-source scheduling strategy of heating system based on improved fireworks algorithm2352-484710.1016/j.egyr.2021.08.203https://doaj.org/article/09edd3773d674ef08dcfdc4c510ec4682021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352484721010957https://doaj.org/toc/2352-4847In this paper, the heating system of the airport energy station is taken as the research object. Aiming at the existing scheduling strategy of multi-heat-source heating system is difficult to achieve the optimal system working condition on the premise of meeting the needs of users. An intelligent scheduling strategy based on an improved FWA is studied. Firstly, the multi-heat-source heating system is analyzed, and the energy consumption model of operating equipment is established. According to the actual situation of the equipment, the multi-objective scheduling model is established. Then, the improved multi-objective fireworks algorithm is studied, including the initialization definition method of fireworks operator, the calculation method of fitness, mutation operator, the calculation method of explosion spark radius, and the concept of Pareto solution set in genetic algorithm with elite strategy is introduced. Finally, a multi-objective optimization function is established to minimize the equipment operation cost and heat source cost, and the multi-objective optimization problem is solved. Compared with the existing airport energy station dispatching scheme, the total operation cost of the optimized system is saved about 28.44%, and the energy waste is reduced based on the excellent operation of the heating system, achieved the optimal working conditionLeilei HuiJunqi YuAnjun ZhaoFu WangXiaohan YangMin ZhouElsevierarticleMulti-heat-source heating systemIntelligent scheduling strategyImproved fireworks algorithmMulti-objective optimizationOperation costElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENEnergy Reports, Vol 7, Iss , Pp 7628-7639 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Multi-heat-source heating system Intelligent scheduling strategy Improved fireworks algorithm Multi-objective optimization Operation cost Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Multi-heat-source heating system Intelligent scheduling strategy Improved fireworks algorithm Multi-objective optimization Operation cost Electrical engineering. Electronics. Nuclear engineering TK1-9971 Leilei Hui Junqi Yu Anjun Zhao Fu Wang Xiaohan Yang Min Zhou Research on multi-heat-source scheduling strategy of heating system based on improved fireworks algorithm
description	In this paper, the heating system of the airport energy station is taken as the research object. Aiming at the existing scheduling strategy of multi-heat-source heating system is difficult to achieve the optimal system working condition on the premise of meeting the needs of users. An intelligent scheduling strategy based on an improved FWA is studied. Firstly, the multi-heat-source heating system is analyzed, and the energy consumption model of operating equipment is established. According to the actual situation of the equipment, the multi-objective scheduling model is established. Then, the improved multi-objective fireworks algorithm is studied, including the initialization definition method of fireworks operator, the calculation method of fitness, mutation operator, the calculation method of explosion spark radius, and the concept of Pareto solution set in genetic algorithm with elite strategy is introduced. Finally, a multi-objective optimization function is established to minimize the equipment operation cost and heat source cost, and the multi-objective optimization problem is solved. Compared with the existing airport energy station dispatching scheme, the total operation cost of the optimized system is saved about 28.44%, and the energy waste is reduced based on the excellent operation of the heating system, achieved the optimal working condition
format	article
author	Leilei Hui Junqi Yu Anjun Zhao Fu Wang Xiaohan Yang Min Zhou
author_facet	Leilei Hui Junqi Yu Anjun Zhao Fu Wang Xiaohan Yang Min Zhou
author_sort	Leilei Hui
title	Research on multi-heat-source scheduling strategy of heating system based on improved fireworks algorithm
title_short	Research on multi-heat-source scheduling strategy of heating system based on improved fireworks algorithm
title_full	Research on multi-heat-source scheduling strategy of heating system based on improved fireworks algorithm
title_fullStr	Research on multi-heat-source scheduling strategy of heating system based on improved fireworks algorithm
title_full_unstemmed	Research on multi-heat-source scheduling strategy of heating system based on improved fireworks algorithm
title_sort	research on multi-heat-source scheduling strategy of heating system based on improved fireworks algorithm
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/09edd3773d674ef08dcfdc4c510ec468
work_keys_str_mv	AT leileihui researchonmultiheatsourceschedulingstrategyofheatingsystembasedonimprovedfireworksalgorithm AT junqiyu researchonmultiheatsourceschedulingstrategyofheatingsystembasedonimprovedfireworksalgorithm AT anjunzhao researchonmultiheatsourceschedulingstrategyofheatingsystembasedonimprovedfireworksalgorithm AT fuwang researchonmultiheatsourceschedulingstrategyofheatingsystembasedonimprovedfireworksalgorithm AT xiaohanyang researchonmultiheatsourceschedulingstrategyofheatingsystembasedonimprovedfireworksalgorithm AT minzhou researchonmultiheatsourceschedulingstrategyofheatingsystembasedonimprovedfireworksalgorithm
_version_	1718419523755835392

Research on multi-heat-source scheduling strategy of heating system based on improved fireworks algorithm

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