You can view the full text of this article for free using the link below.

Title: Photovoltaic consumption strategy of distribution network considering carbon emission and user experience

Authors: Zhigang You; Huifeng Wang; Zhigang Song; Jing Jiao; Haitao He; Jiale Wu

Addresses: State Grid Gansu Electric Power Company, Longnan Power Supply Company, Longnan 742500, Gansu Province, China ' State Grid Gansu Electric Power Company, Longnan Power Supply Company, Longnan 742500, Gansu Province, China ' State Grid Gansu Electric Power Company, Longnan Power Supply Company, Longnan 742500, Gansu Province, China ' State Grid Gansu Electric Power Company, Longnan Power Supply Company, Longnan 742500, Gansu Province, China ' State Grid Gansu Electric Power Company, Longnan Power Supply Company, Longnan 742500, Gansu Province, China ' The College of Electrical Engineering, Sichuan University, Chengdu 610065, China; State Grid Shanxi Electric Power Company, Taiyuan Power Supply Company, Taiyuan 030000, Shanxi Province, China

Abstract: With the rapid proliferation of renewable energy sources, particularly photovoltaics (PVs) with the power system, this paper presents a novel PV consumption strategy aimed at maximising PV utilisation while accounting for carbon emission penalties, PV consumption incentives and user experience. In this paper, the carbon emission penalty and PV consumption reward methods are innovative combined and modelled, using a stepwise reward and punishment mechanism to promote renewable energy consumption. Simultaneously, the influence of user experience on PV consumption is fully considered, and the comfort of user electricity consumption is modelled. Subsequently, considering typical scenarios of residential electricity consumption, a multi-objective optimisation model for maximising PV consumption is established. A dynamic adaptive particle swarm algorithm is used to efficiently solve the model and obtain the optimal decision for PV consumption in the distribution network. To validate the soundness of the proposed model and methodology, this work subjected it to rigorous simulation testing using the IEEE33 bus system. The PV consumption strategy obtained provides a strong reference for the operation and planning of high-penetration distributed photovoltaics (DPVs) within distribution networks.

Keywords: power system; carbon emissions; PV consumption incentives; power consumption comfort.

DOI: 10.1504/IJPEC.2025.142887

International Journal of Power and Energy Conversion, 2025 Vol.16 No.1, pp.38 - 61

Received: 04 Dec 2023
Accepted: 15 Mar 2024

Published online: 30 Nov 2024 *

Full-text access for editors Full-text access for subscribers Free access Comment on this article