摘要
为了更多的消纳可再生分布式能源,在主动配电网的优化调度中,考虑储能和柔性负荷的时空联系与网络潮流的影响,构建了以可再生能源利用率最大、网络损耗最小和用户满意度最高为目标的主动配电网优化调度模型。然后提出AHP?熵权法计算各子目标权重系数,并采用含非线性递减惯性权重的粒子群算法求解所建模型。同时通过设定可控分布式发电单元、储能系统及柔性负荷的调度优先级量化主动配电网各单元间的协调作用。最后进行了算例分析,仿真结果表明储能和柔性负荷的协调优化会增加可再生分布式发电的利用率,所提的调度优先级有效减小了网络有功损耗,提高了用户满意度,从而验证了这种优化方案的合理性。
In order to accommodate more distributed renewable energy,this paper,considering space-time contact between energy storage and flexible load and influence of power flow in network,established a multi-objective optimized model of active distribution network.This model aimed to maximize utilization of distributed renewable energy,minimize network loss and maximize customer satisfaction.This paper proposed AHP-entropy method to confirm weighting coefficient of each subgoal,and used particle swarm optimization containing nonlinear decreasing inertia weight to calculate the model.Scheduling priority was set to quantify coordination role of each unit in network.Finally,case study simulation results showed that optimization coordinated between energy storage system and flexible load would increase utilization of distributed renewable generation,and the proposed dispatching priority effectively reduced network power loss and increased customer satisfaction,verifying reasonableness of this optimization.
出处
《电网技术》
EI
CSCD
北大核心
2016年第5期1394-1399,共6页
Power System Technology
基金
四川省科技支撑项目(主动配电网优化规划及协调运行关键技术研究)(2014JY0191)
关键词
主动配电网
多目标
可再生分布式发电
储能系统
柔性负荷
active distribution network
multi-objective
distributed renewable generation
energy storage system
flexible load
