多机组、多元化供热模式下厂级热电负荷运行优化策略研究

Research on Optimal Strategy of Plant-level Load Operation Nnder Multi-unit and Diversified Heating Mode

开展热电联产电厂负荷优化分配研究,可进一步提高能源利用效率。为获得更好的热电负荷分配效果,首先提出了一种布谷鸟搜索-灰狼融合算法,并基于文献中的测试电厂数据验证了该算法的可靠性。然后,以呼和浩特市4机组热电厂为例,建立了多机组厂级热电负荷优化模型。基于该厂实际运行模式,研究3种不同优化场景下各机组热电负荷及煤耗变化,得出不同负荷下的厂级热电负荷运行优化策略。结果表明:全厂热电负荷统筹调控的节煤效果明显优于机组独立运行时的优化结果,最大节煤量可达18.23t/h。此时,为获得更好的节煤效果,应优先考虑热电比高的机组(4号机组)承担最大的热、电负荷,其余由其它机组补充。具体而言,电负荷和热负荷分配优先级均为:4号机组>2号机组>1号机组>3号机组。该研究结果对提高热电联产机组供热运行优化和电厂精细化管理水平具有十分重要的参考价值。

The research on optimal load distribution of cogeneration power plants can further improve energy efficiency.To obtain a better thermal power load distribution effect,this paper proposes a cuckoo search-grey wolf fusion algorithm and verifies the reliability of the algorithm based on the test power plant data in the literature.Then,a multi-unit plant-level thermal power load optimal model is built by taking a four-unit thermal power plant in Hohhot.Based on the actual operation mode of the plant,this paper studies the changes of the thermal power load and coal consumption of each unit under three different optimization scenarios,and obtained the optimal strategy of plant-level thermal power load operation under different loads.The results show that the coal-savings of the overall control of the load of the whole plant is obviously better than that obtained when the unit operates independently,and the maximum coal saving can reach 18.23t/h.Moreover,the unit with a high heat-to-electricity ratio(unit 4)should have the maximum power and heat load,and the rest should be supplemented by other units.Specifically,both the power load priority and the thermal load distribution priority are:unit 4>unit 2>unit 1>unit 3.It is expected that this paper can provide a significant reference value for improving the optimization and refined management of the heating operation of the cogeneration unit.