基于改进一致性算法的孤岛直流微电网储能系统分布式控制策略
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华北电力大学河北省分布式储能与微网重点实验室,河北 保定 071003

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国家自然科学基金项目资助(51577068);国网江西省电力有限公司科技项目资助(SGJXGFZXYXJS2250028)


Distributed control strategy of an energy storage system in an isolated DC microgrid based on an improved consensus algorithm
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Key Laboratory of Distributed Energy Storage and Microgrid of Hebei Province, North China Electric Power University, Baoding 071003, China

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    摘要:

    针对孤岛直流微电网中多个储能单元的协调控制,提出了一种基于改进一致性算法的储能系统分布式控制策略。首先,提出了一种改进一致性算法,并证明该算法相比经典一致性算法收敛时间更短。然后,基于改进一致性算法,提出了一种储能系统分布式控制策略,通过合理调节各储能单元的功率,维持了直流母线电压的稳定、避免了储能电池的过充过放。该策略具有两种运行模式,分别适用于微电网有扰动与无扰动的情况,在及时调节储能单元功率的同时,减少了控制所需的通信量和计算量。最后,搭建了孤岛直流微电网系统仿真算例,仿真验证了所提控制策略的有效性及其在控制时间方面的优越性。

    Abstract:

    A distributed control strategy of an energy storage system based on an improved consensus algorithm is proposed to solve the coordinated control problem of multiple energy storage units in an isolated DC microgrid. First, an improved consensus algorithm is proposed, and it is proved that the convergence time of this algorithm is shorter than that of the classical consensus algorithm. Then, based on the improved consensus algorithm, a distributed control strategy for the energy storage system is proposed, one which reasonably adjusts the power of each energy storage unit to maintain the stability of the DC bus voltage and avoid over-charge and over-discharge of energy storage batteries. This strategy has two operational modes applicable to the conditions with and without disturbance respectively. This reduces the amount of communication and computation required for control while adjusting the power of the energy storage unit in a timely fashion. Finally, a simulation example of an isolated DC microgrid system is constructed, and the simulation results verify the effectiveness of the proposed control strategy and its superiority in control time.

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梁海峰,丁 政,李 鹏.基于改进一致性算法的孤岛直流微电网储能系统分布式控制策略[J].电力系统保护与控制,2023,51(16):59-71.[LIANG Haifeng, DING Zheng, LI Peng. Distributed control strategy of an energy storage system in an isolated DC microgrid based on an improved consensus algorithm[J]. Power System Protection and Control,2023,V51(16):59-71]

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  • 收稿日期:2023-02-07
  • 最后修改日期:2023-04-09
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  • 在线发布日期: 2023-08-14
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