Multi-criteria decision making monarch butterfly optimization for optimal distributed energy resources mix in distribution networks
Multi-criteria decision making monarch butterfly optimization for optimal distributed energy resources mix in distribution networks
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DOI：
10.1016/j.apenergy.2020.115723
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发表时间：
2020-11
期刊：
影响因子：
11.2
通讯作者：
Pushpendra Singh;N. K. Meena;Jin Yang;E. Vega-Fuentes;S. K. Bishnoi
中科院分区：
文献类型：
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作者：
Pushpendra Singh;N. K. Meena;Jin Yang;E. Vega-Fuentes;S. K. Bishnoi
分布式能源资源优化集成是一个传统优化方法无法有效解决的多目标复杂组合优化问题。本文综述了现有的DER集成模型、优化和多准则决策方法。在此基础上，介绍了近年来发展起来的一种帝王蝶优化方法来解决配电系统中DER的混合问题。在考虑多个关键性能目标的情况下，提出了一个新的多目标DER集成问题，以寻找DER的最优位置、规模和组合（可调度和不可调度）。此外，提出了一种将帝王蝶优化算法与理想解相似偏好排序技术（TOPSIS）相结合的混合方法来解决拟定的大规模多准则决策问题。虽然元启发式优化方法生成非支配解（创建帕累托前），但TOPSIS方法从大量备选方案中选择最有希望的结果。通过解决单目标和多目标可调度DER集成问题，验证了该方法的有效性，并与现有优化方法进行了性能比较。提出的DER混合模型和优化技术显著提高了系统性能，年平均能量损失降低78.36%，平均节点电压偏差提高9.59%，平均支路负荷极限提高50%，最大限度地降低了48.39%可再生能源渗透率引起的功率波动。所提出的优化技术在解决工程优化问题方面具有较好的勘探和开发能力，优于现有的优化方法。
The optimal integration of distributed energy resources (DERs) is a multiobjective and complex combinatorial optimization problem that conventional optimization methods cannot solve efficiently. This paper reviews the existing DER integration models, optimization and multi-criteria decision-making approaches. Further to that, a recently developed monarch butterfly optimization method is introduced to solve the problem of DER mix in distribution systems. A new multiobjective DER integration problem is formulated to find the optimal sites, sizes and mix (dispatchable and non-dispatchable) for DERs considering multiple key performance objectives. Besides, a hybrid method that combines the monarch butterfly optimization and the technique for order of preference by similarity to ideal solution (TOPSIS) is proposed to solve the formulated large-scale multi-criteria decision-making problem. Whilst the meta-heuristic optimization method generates non-dominated solutions (creating Pareto-front), the TOPSIS approach selects that with the most promising outcome from a large number of alternatives. The effectiveness of this approach is verified by solving single and multiobjective dispatchable DER integration problems over the benchmark 33-bus distribution system and the performance is compared with the existing optimization methods. The proposed model of DER mix and the optimization technique significantly improve the system performance in terms of average annual energy loss reduction by 78.36%, mean node voltage deviation improvement by 9.59% and average branches loadability limits enhancement by 50%, and minimized the power fluctuation induced by 48.39% renewable penetration. The proposed optimization techniques outperform the existing methods with promising exploration and exploitation abilities to solve engineering optimization problems.