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Optimal Scheduling Method of Cogeneration System with Heat Storage Device Based on Memetic Algorithm

Energy Engineering 2023年第2期120卷 317-343页

作者： Haibo Li YibaoWang Xinfu Pang Wei Liu Xu Zhang Key Laboratory of Energy Saving and Controlling in Power Systemof Liaoning Province Shenyang Institute of EngineeringShenyang110136China Jinzhou Power Supply Company State Grid Liaoning Electric Power Co.Ltd.Jinzhou121009China

Electric-heat coupling characteristics of a cogeneration system and the operating mode of fixing electricity with heat are the main reasons for wind abandonment during the heating season in the Three North *** improve the wind-power absorption capacity and operating economy of the system,the structure of the system is improved by adding a heat storage device and an electric ***,aiming at the minimum operating cost of the system,the optimal scheduling model of the cogeneration system,including a heat storage device and electric boiler,is ***,according to the characteristics of the problem,a cultural gene algorithm program is compiled to simulate the calculation ***,through the system improvement,the comparison between the conditions before and after and the simulation solutions of similar algorithms prove the effectiveness of the proposed *** simulation results show that adding the heat storage device and electric boiler to the scheduling optimization process not only improves the wind power consumption capacity of the cogeneration system but also reduces the operating cost of the system by significantly reducing the coal consumption of the unit and improving the economy of the system *** cultural gene algorithm framework has both the global evolution process of the population and the local search for the characteristics of the problem,which has a better optimization effect on the solution.

关键词： Combined heat and power generation heat storage device memetic algorithm simulated annealing wind abandonment

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Optimal Scheduling Method for Cogeneration System Based on Heat Storage Device

Optimal Scheduling Method for Cogeneration System Based on H...

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第32届中国控制与决策会议

作者： Zhang Xu Pang Xinfu Zhao Wenjing Liu Li Zhang Yifan Mou Zurong Key Laboratory of Energy Saving and Controlling in Power System of Liaoning Province Shenyang Institute of Engineering School of Electric Power Shenyang Institute of Engineering School of Automation Shenyang Institute of Engineering State Grid Liaocheng Electric Power Supply Company

In the north of China, the problem of wind abandonment is very serious. In order to improve the ability of wind power consumption, a cogeneration system with an electric boiler is proposed. First, the mathematical model of the minimum power generation cost of the traditional unit and the optimized model are established. Second, the model is solved by using the particle swarm optimization algorithm. In addition, a power structure of combined heat and power system（CHP） is constructed for simulation experiments. Through experimental analysis, proving the feasibility of the model. Finally, Simulation results show that making the electric boiler work in the period of wind abandonment can effectively alleviate the wind abandonment phenomenon. It also can provide more space for the wind power and enhance the wind power consumption.

关键词： Combined heat and power generation wind abandonment Electric boiler wind power Particle swarm optimization algorithm

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