风-光-沼可再生能源发电的电源有效接纳容量评估

Evaluation on Effective Acceptance Capacity of Wind-PV-Biogas Renewable Energy Power Generation

为解决可再生能源发电存在间歇性问题,提出一种风-光-沼可再生能源发电的电源有效接纳容量评估方法。基于风-光-沼可再生能源发电系统结构特点,以成本经济性和供电可靠性为目标,以系统稳定性、电量供需均衡性及各微电源输出功率最大值为约束条件,建立电源有效接纳容量评估模型。采用改进粒子群的电源双层规划方法,求解电源有效接纳容量评估模型,通过自适应变异粒子群解决粒子群优化算法易陷入局部最优解情况。利用2个粒子群优化算法的交互迭代规划电源上下两层,求解最佳电源有效接纳容量。以L省某负荷中心为实验平台展开算例分析,结果表明:该方法具备风-光-沼可再生能源发电电源有效接纳容量评估可行性和有效性,通过协调控制可以保证负荷中心稳定运行。

To solve the intermittent problem in renewable energy power generation,a method is proposed to evaluate the effective acceptance capacity of wind-photovoltaic(PV)-biogas renewable energy power generation.Based on the struc-tural characteristics of a wind-PV-biogas renewable energy power generation system,an effective acceptance capacity evaluation model of power supply is established,with the cost economy and power supply reliability as an objective and the system stability,supply-and-demand balance of power,and the maximum output power from each micro power source as constraint conditions.An improved particle swarm two-layer power supply planning method is used to solve the evaluation model,and an adaptive mutation particle swarm is used to solve the problem that the particle swarm op-timization(PSO)algorithm is prone to fall into local optimal solutions.The interactive iterations between these two PSO alg-orithms are used to plan the upper and lower layers of power supply to solve the optimal effective acceptance capacity of power supply.A load center in L province is taken as an experimental platform to conduct numerical analysis,and results show that the proposed method can evaluate the feasibility and effectiveness of the effective acceptance capacity of wind-PV-biogas renewable energy power generation and ensure the stable operation of the load center through coordinated control.