充换电站储能系统模糊双目标优化调度方法

发布时间：2018-04-29 21:38

本文选题：充电调度 + 储能系统　；参考：《北京交通大学学报》2014年05期

【摘要】：由于充换电站用电量存在明显的波动性,在充换电站建立储能系统是改善充换电站负荷稳定性的重要途径.为使储能系统充分发挥其作用,本文提出了考虑负荷平抑和用电经济性双重目标下的储能系统出力优化策略,对双目标进行加权模糊处理,使双目标优化问题转化为单目标优化问题.另外,在优化模型的约束条件中考虑了不间断电源功率需求和定时定荷电状态(SOC)的限制,从而具有更大的实际意义.本文使用粒子群算法进行求解,并结合某实际智能电网综合建设工程数据,对该双目标优化策略进行仿真分析,验证了该策略的优化效果及可行性.
[Abstract]:Because of the obvious fluctuation of power consumption in recharge power station, it is an important way to improve the load stability of recharge power station to establish energy storage system in recharge power station. In order to give full play to the function of energy storage system, this paper puts forward an optimization strategy of energy storage system under the dual objectives of load suppression and power economy, and carries out weighted fuzzy processing of double targets. The dual objective optimization problem is transformed into a single objective optimization problem. In addition, the constraints of uninterruptible power supply (UPS) and fixed state of state (SOC) are taken into account in the constraints of the optimization model, so it has more practical significance. In this paper, the particle swarm optimization algorithm is used to solve the problem, and the simulation analysis of the dual-objective optimization strategy is carried out based on the actual smart grid construction data, which verifies the effectiveness and feasibility of the strategy.
【作者单位】：北京交通大学国家能源主动配电网技术研发中心;国网冀北电力有限公司唐山供电公司;
【基金】：北京市科技计划项目资助(D141100001714001)
【分类号】：TM910.6

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