Optimal scheduling and management of grid-connected distributed resources using improved decomposition-based many-objective evolutionary algorithm

IF 2 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Ghulam Abbas, Zhi Wu, Aamir Ali
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引用次数: 0

Abstract

This paper emphasizes the integration of wind and photovoltaic (PV) generation with battery energy storage systems (BESS) in distribution networks (DNs) to enhance grid sustainability, reliability, and flexibility. A novel multi-objective optimization framework is introduced in this study to minimize energy supply costs, emissions, and energy losses while improving voltage deviation (VD) and voltage stability index (VSI). The proposed framework comprising normal boundary intersection (NBI) and decomposition-based evolutionary algorithms (DBEA) determines the optimal siting and sizing of renewable-based distributed resources, considering load demand variations and the intermittency of wind and solar outputs. The comparative analysis establishes that the proposed strategy performs better than many contemporary algorithms, specifically when all the objective functions are optimized simultaneously. The validation of the proposed framework was carried out on the standard IEEE-33 bus test network, which demonstrates significant percentage savings in energy supply costs (49.6%), emission rate (62.2%), and energy loss (92.3%), along with enormous improvements in VSI (91.9%) and VD (99.8953%). The obtained results categorically underline the efficiency, reliability, and robustness of the proposed approach when employed on any complex distribution network comprising multiple renewable energy sources and battery storage systems.

Abstract Image

使用改进的基于分解的多目标进化算法优化并网分布式资源的调度和管理
本文强调在配电网(DN)中整合风能和光伏(PV)发电与电池储能系统(BESS),以提高电网的可持续性、可靠性和灵活性。本研究引入了一个新颖的多目标优化框架,在改善电压偏差(VD)和电压稳定指数(VSI)的同时,最大限度地降低能源供应成本、排放和能源损耗。考虑到负荷需求的变化以及风能和太阳能输出的间歇性,所提出的框架包括法线边界交叉算法(NBI)和基于分解的进化算法(DBEA),用于确定可再生分布式资源的最佳选址和规模。对比分析表明,所提出的策略比许多当代算法性能更好,特别是在同时优化所有目标函数的情况下。在标准的 IEEE-33 总线测试网络上对所提出的框架进行了验证,结果表明在能源供应成本(49.6%)、排放率(62.2%)和能源损耗(92.3%)方面都有显著的节省,同时在 VSI(91.9%)和 VD(99.8953%)方面也有巨大的改善。所获得的结果明确强调了所提议的方法在任何由多种可再生能源和电池存储系统组成的复杂配电网络中使用时的效率、可靠性和稳健性。
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来源期刊
Iet Generation Transmission & Distribution
Iet Generation Transmission & Distribution 工程技术-工程:电子与电气
CiteScore
6.10
自引率
12.00%
发文量
301
审稿时长
5.4 months
期刊介绍: IET Generation, Transmission & Distribution is intended as a forum for the publication and discussion of current practice and future developments in electric power generation, transmission and distribution. Practical papers in which examples of good present practice can be described and disseminated are particularly sought. Papers of high technical merit relying on mathematical arguments and computation will be considered, but authors are asked to relegate, as far as possible, the details of analysis to an appendix. The scope of IET Generation, Transmission & Distribution includes the following: Design of transmission and distribution systems Operation and control of power generation Power system management, planning and economics Power system operation, protection and control Power system measurement and modelling Computer applications and computational intelligence in power flexible AC or DC transmission systems Special Issues. Current Call for papers: Next Generation of Synchrophasor-based Power System Monitoring, Operation and Control - https://digital-library.theiet.org/files/IET_GTD_CFP_NGSPSMOC.pdf
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