含风电和储能电力系统的时序随机生产模拟

发布时间：2018-03-12 07:02

本文选题：风电　切入点：储能　出处：《电网技术》2017年09期 　论文类型：期刊论文

【摘要】：传统电力系统随机生产模拟难以准确描述负荷、风电出力和储能荷电状态(state of charge,SOC)的时序变化特性,也难以反映灵活多样的系统运行调度策略,导致生产模拟准确性欠佳。为此,提出了含风电和储能电力系统时序随机生产模拟方法。该方法计及了系统运行调度策略,将运行调度策略与随机生产模拟中的各机组加载顺序和储能充放电条件等对应起来,有效地描述了各种运行调度策略。为保留元件出力和负荷的时序变化特性,采用可用容量状态刻画各时刻的机组出力状态,将储能充放电分别等效为负荷和机组2部分分别计入基于时序负荷曲线的随机生产模拟中,并建立了描述储能容量状态变化的时变SOC概率分布模型。基于修改的RBTS测试系统进行分析,验证了所提方法的有效性。
[Abstract]:Traditional stochastic production simulation of power system is difficult to accurately describe load, the time series variation characteristics of wind power output and storage state of charge SOC, and the flexible and diverse system operation scheduling strategy are also difficult to reflect, which results in poor accuracy of production simulation. In this paper, a simulation method for sequential stochastic production of wind power and energy storage power systems is proposed, which takes into account the system operation scheduling strategy and corresponds to the loading sequence of each unit and the charging and discharging conditions of energy storage in the stochastic production simulation. Various scheduling strategies are described effectively. In order to retain the time-series variation characteristics of the output force and load of the components, the available capacity state is used to describe the generating force state at each time. The energy storage charge and discharge are equivalent to the load and the two parts of the unit are counted into the stochastic production simulation based on the time series load curve, respectively. The time-varying SOC probability distribution model is established to describe the state of energy storage capacity. The validity of the proposed method is verified by analyzing the modified RBTS test system.
【作者单位】：输配电装备及系统安全与新技术国家重点实验室(重庆大学);
【基金】：国家自然科学基金项目(51677011)~~
【分类号】：TM743

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