On Variable Reverse Power Flow-Part I: Active-Reactive Optimal Power Flow with Reactive Power of Wind Stations
On Variable Reverse Power Flow-Part I: Active-Reactive Optimal Power Flow with Reactive Power of Wind Stations
复制标题
论变逆潮流-第一部分：风电场无功功率的有功-无功最优潮流
作者：
A. Gabash;Pu Li
最近的研究表明，使用电池储能系统（bss）在具有嵌入式风站（WSs）的中压（MV）有源配电网（ADN）中提供无功功率，可以向上游输电网络（TN）提供大量的反向功率。然而，在这些研究中，假设WSs的单位功率因子（pf）来分析bss的潜力。因此，在本文（第一部分）中，我们的目标是通过研究电力市场模型中不同PFs限制下的可变反向潮流问题，进一步探索WSs（即不含bss）的纯无功势。本文的主要贡献如下：(1)在有功无功最优潮流优化模型中引入WSs的无功能力，并突出了不同限制下WSs的效益/影响。(2)研究不同需求情景下，不同的变反向潮流协议对ADN运行的影响。(3)用等效-π电路推导电网无功损耗函数，并将其值与有功损耗进行比较。(4)采用电表法平衡风电弃电、电网有功无功损失和有功无功进出口。在第二部分中，通过分析电力市场模型和具有不同WSs位置的41总线网络来研究所开发模型的潜力。
It has recently been shown that using battery storage systems (BSSs) to provide reactive power provision in a medium-voltage (MV) active distribution network (ADN) with embedded wind stations (WSs) can lead to a huge amount of reverse power to an upstream transmission network (TN). However, unity power factors (PFs) of WSs were assumed in those studies to analyze the potential of BSSs. Therefore, in this paper (Part-I), we aim to further explore the pure reactive power potential of WSs (i.e., without BSSs) by investigating the issue of variable reverse power flow under different limits on PFs in an electricity market model. The main contributions of this work are summarized as follows: (1) Introducing the reactive power capability of WSs in the optimization model of the active-reactive optimal power flow (A-R-OPF) and highlighting the benefits/impacts under different limits on PFs. (2) Investigating the impacts of different agreements for variable reverse power flow on the operation of an ADN under different demand scenarios. (3) Derivation of the function of reactive energy losses in the grid with an equivalent-π circuit and comparing its value with active energy losses. (4) Balancing the energy curtailment of wind generation, active-reactive energy losses in the grid and active-reactive energy import-export by a meter-based method. In Part-II, the potential of the developed model is studied through analyzing an electricity market model and a 41-bus network with different locations of WSs.