计及电动汽车无功支撑能力的分布式电源与智能停车场联合规划方法
发布时间：2018-07-17 07:00
【摘要】：随着大量分布式电源(DG)及电动汽车(EV)接入配电网,为保证电网的高效、清洁、经济和安全运行,必须对二者进行合理的规划。为此,提出一种计及EV无功支撑能力的DG及智能停车场(IPL)联合规划方法。首先,基于有源配电网的基本物理结构,对EV动力电池的无功可调范围进行了推导。进一步考虑风电等间歇性DG出力、常规用电以及EV充电负荷时空分布的不确定性,通过构建发电—负荷场景以综合计及上述不确定性因素的影响。在此基础上,分别以系统投资和运行成本最小作为目标函数,构建了综合考虑DG和IPL选址定容的两阶段优化模型。根据模型特点,采用经典的遗传算法实现问题求解。以33节点配网系统为例,对所提模型的有效性进行验证。仿真结果表明,在配电网投资规划中充分考虑规模化入网EV的无功支撑能力,能够有效改善系统的电能质量,促进可再生能源高效利用,从而带来更好的经济效益。
[Abstract]:With the access of a large number of distributed power sources (DG) and electric vehicles (EV) into the distribution network, in order to ensure the efficient, clean, economical and safe operation of the power grid, the two parties must be rationally planned. For this reason, a combination planning method of DG and intelligent parking lot (IPL) with the EV reactive power support capacity is proposed. First, the basic physical structure of the active distribution network is based. The reactive power adjustable range of EV power battery is derived. Further consideration is given to the uncertainty of wind power and other intermittent DG force, conventional electricity and EV charging load time and space distribution. By constructing the generation load scene, the influence of the above uncertainty factors is taken into consideration. On this basis, the system investment and operation cost are minimization. For the objective function, a two stage optimization model which considers the location and capacity of DG and IPL is constructed. According to the characteristics of the model, the classical genetic algorithm is used to solve the problem. The effectiveness of the proposed model is verified by the example of the 33 node distribution network system. The simulation results show that the size of the scale into the network EV is fully considered in the distribution network investment planning. Power support capability can effectively improve the power quality of the system, and promote the efficient utilization of renewable energy, resulting in better economic benefits.
【作者单位】： 新能源电力系统国家重点实验室(华北电力大学);国网山东省电力公司泰安供电公司;
【基金】：国家自然科学基金(51507061) 国家重点研发计划项目(2016YFB0101903) 中央高校基本科研业务费专项基金(2017MS007)资助
【分类号】：TM715
，
本文编号：2129510
[Abstract]:With the access of a large number of distributed power sources (DG) and electric vehicles (EV) into the distribution network, in order to ensure the efficient, clean, economical and safe operation of the power grid, the two parties must be rationally planned. For this reason, a combination planning method of DG and intelligent parking lot (IPL) with the EV reactive power support capacity is proposed. First, the basic physical structure of the active distribution network is based. The reactive power adjustable range of EV power battery is derived. Further consideration is given to the uncertainty of wind power and other intermittent DG force, conventional electricity and EV charging load time and space distribution. By constructing the generation load scene, the influence of the above uncertainty factors is taken into consideration. On this basis, the system investment and operation cost are minimization. For the objective function, a two stage optimization model which considers the location and capacity of DG and IPL is constructed. According to the characteristics of the model, the classical genetic algorithm is used to solve the problem. The effectiveness of the proposed model is verified by the example of the 33 node distribution network system. The simulation results show that the size of the scale into the network EV is fully considered in the distribution network investment planning. Power support capability can effectively improve the power quality of the system, and promote the efficient utilization of renewable energy, resulting in better economic benefits.
【作者单位】： 新能源电力系统国家重点实验室(华北电力大学);国网山东省电力公司泰安供电公司;
【基金】：国家自然科学基金(51507061) 国家重点研发计划项目(2016YFB0101903) 中央高校基本科研业务费专项基金(2017MS007)资助
【分类号】：TM715
，
本文编号：2129510
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