Heat Storage Decoupling Method Based on Coordinated Load Scheduling Model
In the winter of China's northern area, the heating period of coal-fired units, the dry season of hydropower units and the period of large-scale wind power generation are superimposed, and there exist serious problems of wind curtailment and environmental pollution. The controllable heat storag...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
State Grid Energy Research Institute
2019-07-01
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| Series: | Zhongguo dianli |
| Subjects: | |
| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.201711005 |
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| Summary: | In the winter of China's northern area, the heating period of coal-fired units, the dry season of hydropower units and the period of large-scale wind power generation are superimposed, and there exist serious problems of wind curtailment and environmental pollution. The controllable heat storage electric boilers are used in this paper as peak regulation and dispatch resources, in order to reduce the forced output of CHP and get a lower load peak and a higher load valley when it's hard to regulate the peak load, and to increase the wind power accommodation capacity of power grid in winter, and to form a load-dispatching model featuring source-load coordination. The power-heat coupling characteristics of CHP units are firstly studied; and then a heat-power decoupling scheme is formulated for wind power-heat storage compensation, and a multi-objective load-dispatching model is built with the objective of minimizing both the operation cost and pollutant emission of the power system; finally, the corrected multi-objective particle swarm optimization algorithm is used to solve the model, and the diversity of the Pareto set is maintained by using niche method. Case study shows that the proposed dispatching scheme with electric boiler heat storage can effectively promote accommodation of wind power with optimum environmental and economic benefits, and has a very good application prospect. |
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| ISSN: | 1004-9649 |