Tantu Ashenafi Tesfaye, Biramo Degu Bibiso
Wolaita Sodo University, Wolaita Sodo, Ethiopia.
Arba Minch University, Arba Minch, Ethiopia.
Heliyon. 2024 Aug 22;10(17):e36668. doi: 10.1016/j.heliyon.2024.e36668. eCollection 2024 Sep 15.
Ensuring stable power flow and reliable supply could maintain system security, improve system efficiency, minimize power loss, and reduce the risk of supply outage. Power flow management can be employed to enhance bus voltage and decrease power losses. The reliability of the system is critical for both the customers and the utility to ensure supply continuity and improved revenue. With the growing demand for reliable power supplies, it is crucial that utilities devote efforts to ensure a consistent power supply to meet customer needs. However, the frequent occurrence of power interruptions and the prolonged duration of interruption pose significant challenges to power distribution systems in the town of Wolaita Sodo. This study aims to explore power flow and reliability control through the utilization of optimal distribution network reconfiguration (DNR). The optimal placement of tie-switches (TS) to address the power flow and reliability issues is done through the adaptive particle swarm optimization (APSO) algorithm. With the help of APSO, five TS units achieved the reliability indices within the national standard boundary. The backward/forward sweep (BFS) and Markov chain-based Monte Carlo simulation (MCMCS) methods are used for load flow and reliability analysis. Through simulation, with integration of five TS, SAIFI decreases from a value of 557 to about 34, SAIDI decreases from 573.59h to about 43.87h and EENS decreases from 1835.5 MWh to about 140.38 MWh annually, active power loss decreases from 1631.15 kW to about 559.35 kW, the minimum bus voltage increases from 0.7537pu to 0.9502pu. Finally, the evaluation of the suggested algorithm variants is conducted by taking into account the duration it takes to respond, the level of convergence achieved, and the extent to which power loss is minimized.
确保稳定的潮流和可靠的供电可以维护系统安全、提高系统效率、最小化功率损耗并降低停电风险。潮流管理可用于提高母线电压并降低功率损耗。系统的可靠性对于客户和电力公司都至关重要，以确保供电连续性并提高收益。随着对可靠电力供应需求的不断增长，电力公司致力于确保持续供电以满足客户需求至关重要。然而，沃莱塔索多镇配电系统中频繁发生的停电事件以及较长的停电持续时间带来了重大挑战。本研究旨在通过利用最优配电网重构（DNR）来探索潮流和可靠性控制。通过自适应粒子群优化（APSO）算法来确定联络开关（TS）的最优位置以解决潮流和可靠性问题。在APSO的帮助下，五个TS单元的可靠性指标达到了国家标准边界内。采用后推/前推扫描（BFS）和基于马尔可夫链的蒙特卡洛模拟（MCMCS）方法进行潮流和可靠性分析。通过仿真，集成五个TS后，系统平均停电频率指标（SAIFI）从557降至约34，系统平均停电持续时间指标（SAIDI）从573.59小时降至约43.87小时，电量不足期望值（EENS）从每年1835.5兆瓦时降至约140.38兆瓦时，有功功率损耗从1631.15千瓦降至约559.35千瓦，最低母线电压从0.7537标幺值升至0.9502标幺值。最后，通过考虑响应所需时间、实现的收敛水平以及功率损耗最小化程度对所建议的算法变体进行评估。
