考虑网络损耗的基于模型预测直流微电网群能量优化策略
Model Prediction Based Energy Optimization Strategy for DC Microgrid Groups Considering Network Loss
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摘要: 直流微电网群实现了多个直流微电网的互联与能量互济,提高了单一直流微电网供电效率和可靠性,但多个直流子网的接入使得直流微电网拓扑更加复杂,增加了网络传输损耗和协调控制难度。文中提出一种以最小损耗为目标,具有自适应分配系数的优化策略。通过对各子网预测功率的修正,实现直流微电网群功率的协调与优化。为预测各子网功率变化情况,提出基于脉宽调制的模型预测控制,降低了在线运算量。最后,通过仿真和实验验证了所提方法的有效性。Abstract: The DC microgrid group realizes the interconnection and energy mutual support of multiple DC microgrids, and improves the power supply efficiency and reliability of a single DC microgrid. However, the access of multiple DC subnets makes the topologies of DC microgrids more complicated and increases the network transmission loss and difficulty in coordination control. This paper proposes an optimization strategy with the minimum loss as the goal and an adaptive distribution coefficient.Through the correction of the predicted power of each subnet, the coordination and optimization of the power of the DC microgrid group can be realized. In order to predict the power changes of each subnet, this paper proposes model predictive control based on the pulse width modulation（PWM）, which reduces the amount of online calculations. Finally, the effectiveness of the proposed method is verified by simulation and experiment.
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