考虑使用时间定价的不平衡配电网中可再生能源与电池储能的整合

IF 4.2 Q2 ENERGY & FUELS
Sigma Ray , Kumari Kasturi , Samarjit Patnaik , Manas Ranjan Nayak
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引用次数: 0

摘要

对可持续能源解决方案日益增长的需求和不断攀升的能源需求促进了可再生能源(RES)的出现,如光伏(PV)资源。将可再生能源与电池储能系统(BESS)技术相结合,可以减少高峰时段的需求,实现经济的充放电,从而实现基于时间的能源定价。在具有多种可再生能源的不平衡系统中整合光伏和 BESS 是一项具有挑战性的任务。它需要一种稳健的算法,以最大限度地减少配电系统中的功率损耗并降低电压不平衡系数(VUF)。本文提出了一种新的多目标鹈鹕优化算法(MOPOA),用于光伏和 BESS 的优化分配。MOPOA 有助于在 IEEE-33 总线不平衡径向配电系统 (URDS) 中找到光伏和 BESS 的最佳位置。所提出的算法将较低的净现值成本(NPC)和较高的电压曲线增强指数(VPEI)等多种优势结合在一起。案例研究和仿真结果表明,所提出的方法能在 IEEE 33 总线 URDS 中以最佳方式安置光伏发电和 BESS,满足系统的所有要求。结果表明,最小 VUF 因数在冬季提高了 4.4%,在夏季提高了 4.3%;有功功率损耗在冬季降低了 16%,在夏季降低了 7.1%;无功功率损耗在冬季降低了 7.5%,在夏季降低了 7.2%。因此,推荐的策略可以毫不费力地加速实现次优解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Battery energy storage with renewable energy sources integration in unbalanced distribution network considering time of use pricing

The increasing demand for sustainable energy solutions and the escalating energy demand have facilitated the emergence of renewable energy sources (RES), such as photovoltaic (PV) sources. Combining RES with battery energy storage system (BESS) technology reduces peak hour demand and allows for economical charging and discharging for time-based energy pricing. Integrating PV and BESS in an unbalanced system with multiple RES sources is a challenging task. It requires a robust algorithm to minimise power loss in the distribution system and decrease the voltage unbalance factor (VUF). This paper presents a new multi-objective Pelican optimisation algorithm (MOPOA) for the optimal allocation of PV and BESS. The MOPOA helps find the best placement of PV and BESS in an IEEE-33 bus unbalanced radial distribution system (URDS). The proposed algorithm combines multiple benefits from a lower net present cost (NPC) and a higher voltage profile enhancement index (VPEI). The case studies and simulation results show that the proposed method places PV and BESS in IEEE 33-bus URDS optimally, satisfying all of the system’s requirements. The results indicate an improvement in the minimum VUF factor of 4.4% in a winter day and 4.3% in a summer day; a reduction in active power loss of 16% in a winter day and 7.1% in a summer day; and a reduction in reactive power loss of 7.5% in a winter day and 7.2% in a summer day. Thus, the recommended strategy effortlessly accelerates to a suboptimal solution.

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来源期刊
Renewable Energy Focus
Renewable Energy Focus Renewable Energy, Sustainability and the Environment
CiteScore
7.10
自引率
8.30%
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审稿时长
48 days
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