ABSTRACT

A framework has been presented in this paper to plan wind unit and distribution static compensator (DSTATCOM) with an energy storage system (ESS) in the distribution system. This framework is based on the dynamic nature of the wind unit. It is assumed that the wind unit has a mandatory generation dependent on the wind speed. In the presented model, the generation of the wind unit is varied daily. Changes in the wind unit production can affect the planning of the power system. DSTATCOM/ESS can simultaneously regulate the active power flow and reactive power between DSTATCOM and the common point with the distribution grid. To improve the system parameters DSTATCOM/ESS has been employed and its effect has been surveyed. Four general objective functions are assumed to plan the wind unit and DSTATCOM/ESS based on the proposed framework. Voltage stability, system loadability, power loss, and total cost of planning. The multi-objective optimization problem based on the four mentioned objectives has been formulated and the particle swarm technique is employed to solve it. Different scenarios are considered and the results of numerical simulations have been compared. The presented methodology has been tested on two distribution systems, 33-bus and 69-bus test systems.

摘要

本文提出了一个框架，用于规划配电系统中带有储能系统（ESS）的风力发电机和配电静态补偿器（DSTATCOM）。该框架基于风力发电机组的动态特性。假设风力发电机组具有强制性发电，具体取决于风速。在提出的模型中，风力发电机的发电量每天都在变化。风力发电机组产量的变化会影响电力系统的规划。DSTATCOM / ESS可以同时调节DSTATCOM与配电网公共点之间的有功功率流和无功功率。为了改善系统参数，已使用DSTATCOM / ESS并对其效果进行了调查。在提出的框架的基础上，假设有四个通用目标函数来规划风电单元和DSTATCOM / ESS。电压稳定性，系统可负载性，功率损耗和计划总成本。提出了基于上述四个目标的多目标优化问题，并采用粒子群算法对其进行了求解。考虑了不同的情况，并比较了数值模拟的结果。所介绍的方法已在两个配电系统（33总线和69总线测试系统）上进行了测试。