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Optimal Allocation of PV-Based Distributed Generations and Scheduling of Battery Storage in Grid-Connected Micro-grid Using Bi-level Optimisation

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Abstract

The presence of photovoltaic-based distributed generation in distribution networks brings a concern regarding intermittency of power generation. This concern can be mitigated through energy storage systems, incorporated into the network allowing instantaneous filling up of the gap between the generation and load demand. These energy storages are scheduled in such a way that they get charged during excess generation and discharged during the low generation periods. In this paper, a two-layer optimisation of the grid-connected active distribution network is performed in which the optimal location and sizes of the ‘solar generation and battery storage’ are optimised in the outer layer and accordingly the optimal battery scheduling considering the variations of solar radiation and load demand is performed in the inner layer. The optimisation is performed based on multiple objectives of energy loss reduction, voltage stability improvement and cost reduction of battery and local generation. The intermittency of the photovoltaic-based generation is considered using a probability-based 2m-Point Estimation Method. The above mentioned problem is solved using Honey Badger Optimisation due to its better exploration and exploitation ability to find better quality results. Moreover, this technique is not applied in the field of power system earlier. The proposed methodology has been applied on a radial network and has shown better voltage stability along with reduced energy losses, total costs of power purchase and total investments in solar based distributed generations and battery storage systems. Performance of the optimisation algorithm is also compared with few other well established optimisation algorithm.

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  1. Department of Electrical Engineering, National Institute of Technology, Durgapur, West Bengal, 713209, India

    Sandeep Kumar Das, Supriya Sarkar & Aniruddha Bhattacharya

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  1. Sandeep Kumar Das
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This article is part of the topical collection “Enabling Innovative Computational Intelligence Technologies for IOT” guest edited by Omer Rana, Rajiv Misra, Alexander Pfeiffer, Luigi Troiano and Nishtha Kesswani.

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Das, S.K., Sarkar, S. & Bhattacharya, A. Optimal Allocation of PV-Based Distributed Generations and Scheduling of Battery Storage in Grid-Connected Micro-grid Using Bi-level Optimisation. SN COMPUT. SCI. 4, 588 (2023). https://doi.org/10.1007/s42979-023-02003-9

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