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Performance Assessment of Pareto and Non-Pareto Approaches for the Optimal Allocation of DG and DSTATCOM in the Distribution System

机译：帕累托和非帕累托的性能评估在分配系统中最优分配DG和DSTATCOM的方法

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This paper proposes a Differential Evolution (DE) optimization algorithm and a Pareto-frontier Multi-Objective Differential Evolution (MODE) optimization algorithm for the optimal allocation of Distributed Generation (DG) and Distribution Static Compensator (DSTATCOM) in a radial distribution system. It considers the minimization of active power dissipation, voltage drop and the annual cost as the objectives of this optimization problem. The proposed techniques are tested on an IEEE 33 bus radial distribution system. To compare the performance of the MODE and DE, the weighted sum approach is carried out. This helps to select one solution from the Pareto front of the MODE. Case studies show that the allocation of both DG and DSTATCOM results in a noticeable reduction of system losses, voltage drop and annual cost. Comparative studies also show that the global convergence characteristics of MODE are better than several other optimization algorithms.
机译：本文提出了一种差分演进（DE）优化算法和径向分布系统中分布式发电（DG）和分布静态补偿器（DSTATCOM）的最佳分配的静脉前沿多目标差分（模式）优化算法。它考虑最小化有源功耗，电压降，年成本作为本优化问题的目标。所提出的技术在IEEE 33总线径向分配系统上进行测试。为了比较模式和de的性能，执行加权和方法。这有助于从帕累托的前部中选择一个解决方案。案例研究表明，DG和DSTATCOM的分配导致系统损失，电压降和年成本的显着降低。比较研究还表明，全局收敛特征的模式优于其他几种优化算法。

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