Environmental economic dispatch of power system integrated with wind power based on an improved glowworm swarm optimization
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    Abstract:

    As the increasing awareness of environmental protection for people and the rising penetration ratio of wind power, power sectors have put forward higher requirements for the dispatch of power system integrated with wind power. In order to reduce the carbon emissions and promote wind power consumption while minimizing power generation costs, this paper firstly establishes an environmental economic dispatch model of power system integrated with wind power considering environmental and economic indicators. The objective function in the model considers the cost of thermal power generation, the cost of rotating spares, the trading mechanism of carbon emission rights, the cost of wind power and the cost of discarding wind. Aiming at the oscillation problem that is common to occur in the traditional firefly algorithm optimization process, a variable step glowworm swarm optimization is proposed to solve the model. Then, this paper carries out the simulation of the modified IEEE 39bus to verify the feasibility of the proposed model and the effectiveness of the algorithm. The results verify the feasibility of the proposed model and the effectiveness of the variable step glowworm swarm optimization to solve environmental economic dispatch problems.

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于德鳌,李 慧,刘思嘉,范新桥.基于改进萤火虫算法的含风电系统环境经济调度[J].电力科学与技术学报英文版,2020,35(2):84-92. YU Deao, LI Hui, LIU Sijia, FAN Xinqiao. Environmental economic dispatch of power system integrated with wind power based on an improved glowworm swarm optimization[J]. Journal of Electric Power Science and Technology,2020,35(2):84-92.

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  • Received:
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  • Online: September 03,2020
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