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作 者:赵毅 陈雨婷 孙文瑶 ZHAO Yi;CHEN Yuting;SUN Wenyao(College of Electric Power,Shenyang Institute of Engineering,Shenyang 110136,Liaoning Province,China)
机构地区:[1]沈阳工程学院电力学院,辽宁省沈阳市110136
出 处:《电网技术》2022年第1期47-56,共10页Power System Technology
摘 要:多微网高渗透态势下,配电系统调度对象时空维度扩大化,传统刚性调度模式制约了微网发电潜能。采用制定区间调度计划方式引导多微网市场交易行为,在赋予微网一定的发电自主权、激发弹性调控潜能的同时,保证市场出清结果趋于全局最优。首先,配电系统采用二阶锥模型计算全局最优运行解并以最优运行解为中心,制定多微网运行奖励区;其次,构建市场交易双层优化模型,下层模型对多个微网之间的博弈进行建模,能够促使各微网获得以其自身收益最大化为目标的优化决策策略,上层模型主要建立含配电系统各项运行刚性约束的配电网市场模型,主要用于完成市场出清,以确定出清的电量和边际电价(distributionlocational marginal price,DLMP)。微网根据来自上层模型的配电网市场边际电价信息调整其报价策略,通过下层的博弈模型获得纳什均衡解。最后,通过算例仿真验证所提方法的有效性。Under the situation of multi-microgrid high penetration, the space-time dimension of the distribution system dispatch objects is expanded, so the traditional rigid scheduling mode is restricting the potential of the micro-grid power generation. This paper adopts the method of making interval scheduling plan to guide the multi-micro-grid market trading behavior: On the one hand, the micro-network is given a certain degree of power generation autonomy to stimulate the potential of its elastic regulation and control. On the other, it should be ensured that the market clearing results tend to be the global optimal. First, the second-order conical model is used to calculate the global optimal operation solution of the distribution system, based on which the incentive area of the multi-micro grid is established. Secondly, the bi-level optimization model of the market transaction is constructed. In the lower model, the multiple game model between the piconets is established, which helps the micro nets get the optimization decision-making strategies to maximize their profits. In the upper model, the distribution system market model with the rigid constraints is constructed for the complete market clearing in order to determine the clearance of the electricity and distribution locational marginal price(DMLP).The micro grid adjusts its bidding strategy according to the information of the distribution network market DLMP in the upper model, and then obtains the Nash equilibrium solution through the game model in the lower level. Finally, the effectiveness of the proposed method is verified by an example simulation.
分 类 号:TM721[电气工程—电力系统及自动化]
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