Risk Constrained Energy Efficient Optimal Operation of a Converter Governed AC/DC Hybrid Distribution Network With Distributed Energy Resources and Volt-VAR Controlling Devices
Risk Constrained Energy Efficient Optimal Operation of a Converter Governed AC/DC Hybrid Distribution Network With Distributed Energy Resources and Volt-VAR Controlling Devices
复制标题
具有分布式能源和 Volt-VAR 控制装置的变流器控制的 AC/DC 混合配电网的风险约束能效优化运行
DOI：
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发表时间：
2021
影响因子：
4.4
通讯作者：
N. P. Padhy
中科院分区：
文献类型：
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作者：
Subho Paul;Abhimanyu Sharma;N. P. Padhy
基于直流的分布式能源和直流负载在传统交流网络中的渗透越来越大，因此需要部署交直流混合配电网。针对交直流高功率电网先进能源管理策略的发展，与以往文献不同，本文提出了一种融合负载转移（LS）和节能降压（CVR）技术的风险约束节能管理算法。优化框架的目标是在不确定的太阳能发电、负荷需求和电网上部电价条件下，使期望能源成本的真实风险和条件风险或风险值同时最小化。与现有的随机优化过程相比，本文采用两点估计策略代替蒙特卡罗模拟，从不确定参数的概率密度函数生成场景，以减少计算量。所提出的集中式优化框架最初采用混合整数非凸规划，但为了避免计算复杂性，将非线性分量替换为线性分量。随后，提出了一种新的求解过程，即连续混合整数线性规划（s-MILP），通过智能逆变器和电压- var控制装置获得LS和CVR的最优部署决策。在改进的IEEE 33总线交直流HDN上验证了该技术的有效性，并通过合并LS和CVR发现了最节能的操作。仿真结果表明，与常规二阶二次规划、松弛混合整数凸规划和分段线性化MILP相比，s-MILP具有快速和接近最优的收敛性。此外，为了评估网络规模对解决时间和最优性的影响，将提出的先进配电网管理系统策略应用于132总线交/直流HDN。
Increasing penetration of direct current (dc) based distributed energy resources and dc loads in the conventional alternating current (ac) network necessitate the deployment of ac/dc hybrid distribution networks (HDNs). In view with the development of advanced energy management policy for ac/dc HDNs, unlike previous literatures, this article proposes a risk constrained energy efficient management algorithm by merging load shifting (LS) and conservation voltage reduction (CVR) techniques. The optimization framework aims to simultaneously minimize both true and conditional risk or conditional value at risk values of the expected energy cost under uncertain solar power generation, load demand, and upper grid energy price. In contrast with the available stochastic optimization process, in this article, two-point estimation strategy is employed in place of Monte Carlo simulation for scenario generation from the probability density functions of the uncertain parameters to reduce computational exertion. The proposed centralized optimization framework is initially developed as mixed integer nonconvex programming but to avoid computation complexity, the nonlinear components are replaced by their linear counterparts. Later, a new solution process named successive mixed integer linear programming (s-MILP) is proposed to obtain the optimal decisions for deployment of LS and CVR through smart inverters and volt-VAR controlling devices. Efficacy of the proposed technique is demonstrated on modified IEEE 33 bus ac/dc HDN and the most energy efficient operation is found by merging LS and CVR. Simulation outcomes prove fast and near optimal convergence of the s-MILP compared to conventional second-order conic programming relaxed mixed integer convex programming and piecewise linearization based MILP. Further, to assess the impact of network size on the solution time and optimality, the proposed advanced distribution network management systems strategy is employed on 132 bus ac/dc HDN.