Optimum economic operation of coordinated power system based on turbulent water flow optimization

IF 3.1 4区 工程技术 Q3 ENERGY & FUELS Energy Sources Part B-Economics Planning and Policy Pub Date : 2022-11-29 DOI:10.1080/15567249.2022.2147605
V. Sakthivel, K. Thirumal, P. Sathya, S. Seenivasan, R. Shivakumar
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引用次数: 1

Abstract

ABSTRACT Owing to increase in power demand, generation costs and environmental anxieties, renewable energy needs to be utilized to conserve energy and to reduce atmospheric pollutants. This study aims to present a new physics inspired metaheuristic algorithm, turbulent water flow optimization (TWFO) for scheduling the power generation of hydrothermal power systems incorporating with pumped storage units (PSU). TWFO is inspired by a natural phenomenon of action of whirlpools in water bodies. Different characteristics of power plants including valve point effect, transmission losses and multiple fuel sources are considered. A heuristic constraint handling mechanism is embedded in the proposed method to satisfy all the equality and inequality constraints. To exemplify the effectiveness of the TWFO, the proposed method has been validated on three coordinated power generation scheduling problems with different characteristics, and compared with particle swarm optimization, sine cosine algorithm, Harris hawks optimization, and other state-of-the-art techniques in the literature. Numerical results clearly signify that the TWFO is competent to obtain superior solutions than the other compared approaches, both in the quality of the solutions and the rate of convergence. Moreover, the fuel cost attained by the TWFO addressing PSU is lesser than that without addressing PSU. The proposed work ensures the economic operation of coordinated power system and increases the renewable energy utilization.
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基于湍流水流优化的协调电力系统最优经济运行
由于电力需求的增加、发电成本的增加以及对环境的担忧,人们需要利用可再生能源来节约能源和减少大气污染物。本文提出了一种新的物理启发的元启发式算法——湍流水流优化(TWFO),用于与抽水蓄能机组(PSU)合并的热液发电系统的发电调度。TWFO的灵感来自于水体中漩涡的自然现象。考虑了电厂的不同特性,包括阀点效应、传输损耗和多种燃料源。在该方法中嵌入了启发式约束处理机制,以满足所有的等式和不等式约束。为了验证TWFO算法的有效性,将该方法应用于三个具有不同特征的协调发电调度问题,并与粒子群优化、正弦余弦算法、哈里斯鹰优化等文献中最先进的技术进行了比较。数值结果清楚地表明,TWFO方法在解的质量和收敛速度上都优于其他比较方法。此外,寻址PSU的TWFO比不寻址PSU的燃料成本更低。所提出的工作保证了协调电力系统的经济运行,提高了可再生能源的利用率。
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CiteScore
6.80
自引率
12.80%
发文量
42
审稿时长
6-12 weeks
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