Warm start oriented discrete coordinate descent for dynamic CVR: A UK case study

H. Gharavi, X. Liu, S. McLoone
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引用次数: 5

Abstract

Conservation Voltage Reduction (CVR) has been found to be an effective methodology for dealing with thermal and voltage challenges caused by increasing penetration of low carbon technologies in power system distribution networks. Using validated openDSS simulation models of a number of distribution networks in the greater Manchester area in the UK, this paper evaluates the effectiveness of dynamically optimized CVR for energy reduction on distribution networks equipped with tap-changing transformers and switchable capacitor banks. Optimization of these controllable devices is carried out every 30 minutes using an oriented discrete coordinate descent (ODCD) algorithm, with a warm start strategy adopted to address local minima issues. Results show that the performance of warm start ODCD is comparable to Particle Swarm Optimisation, a benchmark global optimization technique, at a substantially reduced computation cost. The resulting dynamically optimized CVR yields an average reduction in energy consumption of 8% relative to nominal operating conditions for the low voltage distribution networks considered in the study.
面向热启动的动态CVR离散坐标下降:一个英国案例研究
节能降压(CVR)已被发现是一种有效的方法,以应对日益增加的低碳技术在电力系统配电网中的渗透所带来的热和电压挑战。本文利用英国大曼彻斯特地区多个配电网的经过验证的openDSS仿真模型,评估了动态优化的CVR在配备分接变压器和可切换电容器组的配电网上的节能效果。采用定向离散坐标下降(ODCD)算法每30分钟对这些可控设备进行优化,并采用热启动策略来解决局部最小问题。结果表明,热启动ODCD的性能可与粒子群优化(一种基准全局优化技术)相媲美,且大大降低了计算成本。与研究中考虑的低压配电网络的额定运行条件相比,由此产生的动态优化CVR产生的能耗平均降低8%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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