Optimal scheduling of regional integrated energy based on particle swarm optimization
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(1. Yijiahe Technology Co., Ltd., Nanjing 210012, China;2. Guodian Nanjing Electric Power Test & Research Co., Ltd., Nanjing 210032, China)

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TM734;TK018

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    Abstract:

    The development of integrated energy system is the only way to realize the energy Internet. The coordinated operation of integrated energy in the region is the key to realize the complementary of electricity, heat and gas. Firstly, the control and operation characteristics of wind turbine, gas turbine and energy storage device are analyzed. Taking the minimum operation cost as the optimization objective and considering the constraints of safety and stability, the comprehensive energy scheduling model of electricity heat gas area is established. Then, the proposed model contains avariety of complex operation constraints of electricity, heat and gas,while the variables are coupled with each other. It means that traditional mathematical optimization methods is difficult to solve this model. Therefore, particle swarm optimization algorithm is used. Finally, the simulation results show that the proposed model and algorithm are correct and effective.

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姚 健,刘爱军.基于粒子群算法的区域综合能源优化调度方法[J].电力需求侧管理英文版,2022,24(4):67-72.

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History
  • Received:April 09,2022
  • Revised:June 11,2022
  • Adopted:
  • Online: August 11,2022
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