Optimal Hourly Scheduling of PV Sources in EDS Considering the Power Variability of Load Demand and DG Using MOGWO Algorithm

The penetration of renewable energy resource units in the Electrical Distribution System (EDS) has gradually increased. In addition to that, the interest in the electrification of the transport sector has brought about increasingly significant incentives for the integration of Electric Vehicles Charging Station (EVCS). In this regard, the planning of the installation of PV source-based Distributed Generation (DG) units in EDS considering EVCS should be carefully considered to avoid stressing the EDS. This paper applied various Chaotic Salp Swarm Algorithm (CSSA) based various chaotic maps methods with the multi-objective functions that are considered minimizing simultaneous the Active Power Loss (APL), the Annual Losses Cost (ALC), and the Total Voltage Deviation (TVV) in EDS. The proposed algorithms are tested on a standard IEEE 69-bus system that is used to demonstrate the feasibility of the CSSA algorithm in allocating the DG units by considering the uncertainty of the power delivered by the DG as well as the variation of load demand and EVCS in 24 hours. Furthermore, the overall EDS performances are also enhanced with simultaneous placement of both devices.

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“…The Active Power Loss (APL) on the distribution line connecting from bus i to bus j represented by [29][30][31]:…”

Section: Multi-objective Functionmentioning

confidence: 99%

Integration of PV Distributed Generator in Electrical Distribution System with Electric Vehicles Charging Stations Considering Uncertainties using Chaotic SSA Algorithm

et al. 2021

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“…Although such studies optimize the consumption capacity of distribution stations with multi‐DG access, they do not consider the power flow impact of the simultaneous dispatch of multiple stations on the higher‐level grid. On the other hand, in the context of the flexible interconnection of stations, the ability of inter‐station load balancing and energy optimization can be improved to some extent through interconnection and mutual supply among multiple stations in the same area, reasonable formulation of equipment operation strategies, and dispatching of stations with different load pressure and renewable energy penetration through DC buses and converters [30].…”

Section: Introductionmentioning

confidence: 99%

An optimal scheduling of renewable energy in flexible interconnected distribution networks considering extreme scenarios

Zhang

Zhong

Deng

et al. 2023

IET Renewable Power Gen

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As renewable power penetration gradually increases in hierarchical distribution networks, certain regions have started to lack the ability to consume. How to improve the consumption capacity of a hierarchical distribution network through optimal dispatching has become a hot topic in the current research on distribution system operation. Firstly, the article makes an accurate and rapid assessment of the consumption capacity of the station area through the limit scenario analysis method; secondly, based on the assessment results, the main network renewable power sources are prioritized for consumption, while the main network and the station area; thirdly, the main network renewable power sources are prioritized for consumption, considering the assessment results while the main network and the station area reach the optimal power flow simultaneously through a multi-layer dispatching model. Then, through the flexible interconnection system, load balancing and energy optimization are performed for unconsumed distributed generation (DG) and incomplete energy storage system (ESS) in the station area to further improve the efficiency of renewable energy. Finally, the effectiveness of the proposed model is verified by simulation tests.

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Optimal Hourly Scheduling of PV Sources in EDS Considering the Power Variability of Load Demand and DG Using MOGWO Algorithm

Cited by 2 publications

References 20 publications

Integration of PV Distributed Generator in Electrical Distribution System with Electric Vehicles Charging Stations Considering Uncertainties using Chaotic SSA Algorithm

Integration of PV Distributed Generator in Electrical Distribution System with Electric Vehicles Charging Stations Considering Uncertainties using Chaotic SSA Algorithm

An optimal scheduling of renewable energy in flexible interconnected distribution networks considering extreme scenarios

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