突发事件下基于粒子群算法的分布式电源优化配置及电压分布优化

A. Srivastava, A. K. Barnwal, M. K. Verma
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引用次数: 0

摘要

电力系统需要在电压和线路功率流的限定范围内运行。但很多时候,他们受到了严重的约束,违反了这些限制,因此电力系统的安全性受到了损害。这种具有挑战性的情况通常发生在系统中出现某种形式的突发事件的情况下。突发事件可以是简单的,如线路中断,也可以是复杂的,如串联线路中断导致停电等。提出一些方法来拯救这个系统,使其免受这些突发事件的灾难性后果,是本文工作的动机。本工作主要分为两部分。第一部分详细介绍了偶然性的研究,例如,偶然性以何种形式发生,在电力系统中它可能最严重等。本部分通过模拟计算了一些潮流指标,并利用这些指标来确定每种情况下的严重程度。第二部分试图提出一种方法来减轻这些突发事件的负面影响,这些突发事件通常会在母线电压、线路功率流等方面推动系统超出其运行限制。该部分提出的技术是在电力系统中优化使用分布式电源,以提高其可靠性。本文的所有仿真都是在MATLAB环境下进行的,测试系统采用ieee6总线系统。
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PSO based Optimal Placement of Distributed Generation for Loss Minimization and Voltage Profile Improvement under Contingencies
Power systems are desired to operate within defined limits of voltages and line power flow. But many times, they get severely constrained and breach these limits and therefore the security of power system gets compromised. Such challenging situations generally occur in case of occurrence of some form of contingency in the system. Contingency can be a simple one such as a line outage or a complex one like cascade line outages leading to blackout etc. To suggest some ways to save the system from disastrous consequences of these contingencies is the motivation of the present work. This work is synthesized basically in two parts. First part deals with the study of contingency in detail, such as, in what form it occurs, where in a power system it could be most severe etc. For this part some power flow indices have been calculated via simulations and then these indices are used to determine severity in each case. The second part makes an attempt to propose a way out to mitigate the negative impacts of these contingencies which usually are driving the system beyond its operational limits in terms of bus voltages, line power flows etc. The technique proposed in this part is the use of Distributed Generations optimally in the power system to increase its reliability. All simulations in this paper are carried out in MATLAB environment and test system deployed for this work is IEEE 6 bus system.
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