Economic and Environmental Dispatch of Combined Heat and Power System Based on Improved MOBCC Algorithm

doi:10.11930/j.issn.1004-9649.202002162

Abstract

Abstract: Combined heat and power has become an important part of the integrated energy system owing to its advantages in energy conservation and emission reduction. For the economic and environmental dispatch problem of combined heat and power system, the improved MOBCC algorithm based on Pareto dominance is applied, which has excellent performance in the aspects of convergence, diversity of solution set and time efficiency. In addition, the constraint conditions are taken care by virtue of the constraint violation index. The multi-objective decision-making method based on the relationship between the objective satisfaction and the objective weight is applied to select the best compromise solution. The case study shows that by setting proper objective weights, both the economic and environmental objectives are taken into account in the combined heat and power system operation such that the optimal operation of combined heat and power system can be achieved. Meanwhile, the effectiveness of the improved MOBCC algorithm is also verified.

Key words: combined heat and power system, economic and environmental dispatch, multi-objective optimization, MOBCC algorithm, constraint handling method, multi-objective decision making method

LU Zhigang, QI Shengjing, CAI Yao, MA Yuwei. Economic and Environmental Dispatch of Combined Heat and Power System Based on Improved MOBCC Algorithm[J]. Electric Power, 2021, 54(2): 164-174.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202002162

https://www.electricpower.com.cn/EN/Y2021/V54/I2/164

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