Zaidi Bizzat Hussain, Ullah Ihsan, Alam Musharraf, Adebisi Bamidele, Azad Atif, Ansari Ali Raza, Nawaz Raheel
Department of Electrical Engineering, DHA Suffa University, Karachi 75500, Pakistan.
Department of Electrical and Computer Engineering, CUI, Abbottabad Campus, Abbottabad 22060, Pakistan.
Sensors (Basel). 2021 Mar 10;21(6):1935. doi: 10.3390/s21061935.
This paper presents a novel incentive-based load shedding management scheme within a microgrid environment equipped with the required IoT infrastructure. The proposed mechanism works on the principles of reverse combinatorial auction. We consider a region of multiple consumers who are willing to curtail their load in the peak hours in order to gain some incentives later. Using the properties of combinatorial auctions, the participants can bid in packages or combinations in order to maximize their and overall social welfare of the system. The winner determination problem of the proposed combinatorial auction, determined using particle swarm optimization algorithm and hybrid genetic algorithm, is also presented in this paper. The performance evaluation and stability test of the proposed scheme are simulated using MATLAB and presented in this paper. The results indicate that combinatorial auctions are an excellent choice for load shedding management where a maximum of 50 users participate.
本文提出了一种基于激励的新颖负荷削减管理方案，该方案运行于配备了所需物联网基础设施的微电网环境中。所提出的机制基于反向组合拍卖原理运行。我们考虑一个有多个消费者的区域，这些消费者愿意在高峰时段削减负荷，以便之后获得一些激励。利用组合拍卖的特性，参与者可以以套餐或组合的形式出价，以最大化自身利益以及系统的整体社会福利。本文还给出了使用粒子群优化算法和混合遗传算法确定所提出组合拍卖的获胜者的问题。使用MATLAB对所提出方案进行了性能评估和稳定性测试，并在本文中呈现了测试结果。结果表明，组合拍卖是负荷削减管理的一个极佳选择，其中最多有50个用户参与。
