论文标题
带有基于LASSO的应急滤波的混合AC/VSC-MTDC系统的安全受限的多目标最佳功率流
Security-Constrained Multi-Objective Optimal Power Flow for a Hybrid AC/VSC-MTDC System with Lasso-based Contingency Filtering
论文作者
论文摘要
为了协调网状AC/VSC-MTDC系统的经济和电压质量，本文介绍了一种新的纠正措施限制的多目标最佳功率流（SC-MOPF）方法。提出了一种具有N-1安全限制的并行SC-MOPF模型，用于用于网格的AC/DC系统的纠正控制动作，其中将生成成本和电压偏差的最小化用作目标函数。为了解决该模型，开发了一种基于新型的平行双标准进化指标（BCE-IBEA）算法，以通过引入并行计算来寻求多种良好的帕累托 - 最佳溶液。在此过程中，开发了具有复合安全指数的基于基于N-1的N-1偶有性滤波方案（LASSO）的最低绝对收缩和选择运算符，以有效地从所有意外情况中筛选出最严重的情况。因此，通过集成决策技术自动确定反映不同决策者偏好的最佳折衷解决方案。经过修改的IEEE 14和300-总线系统中的案例研究表明，提出的方法可以通过显着提高的计算效率来解决此SC-MOPF问题。
In order to coordinate the economy and voltage quality of a meshed AC/VSC-MTDC system, a new corrective security-constrained multi-objective optimal power flow (SC-MOPF) method is presented in this paper. A parallel SC-MOPF model with N-1 security constraints is proposed for corrective control actions of the meshed AC/DC system, in which the minimization of the generation cost and voltage deviation are used as objective functions. To solve this model, a novel parallel bi-criterion evolution indicator based evolutionary algorithm (BCE-IBEA) algorithm is developed to seek multiple well-spread Pareto-optimal solutions through the introduction of parallel computation. In this process, a least absolute shrinkage and selection operator (Lasso)-based N-1 contingency filtering scheme with a composite security index is developed to efficiently screen out the most severe cases from all contingencies. And thereby, the best compromise solutions reflecting the preferences of different decision makers are automatically determined via an integrated decision making technique. Case studies in the modified IEEE 14- and 300- bus systems demonstrate that the presented approach manages to address this SC-MOPF problem with significantly improved computational efficiency.
