Feasibility Aware PV BESS Co-Planning with Cyclic Dispatch Repair in Radial Distribution Networks
Abstract
This study investigates a feasibility aware co-planning framework for photovoltaic (PV) generation and a battery energy storage system (BESS) in radial distribution networks (DNs). The framework jointly determines the locations and capacities of three PV units, the location and energy rating of one BESS, and its 24 hour operating schedule using a normalized five criterion objective covering daily energy losses, voltage deviation, accommodated PV capacity, renewable curtailment, and branch current utilization. Cyclic BESS dispatch repair is combined with hourly backward/forward sweep power flow and feasibility first selection to enforce battery, voltage, and thermal constraints. The Multi Verse Optimizer (MVO), Differential Evolution (DE), Harris Hawks Optimization (HHO), and Artificial Rabbits Optimization (ARO) are compared under a common budget of 3,000 evaluations and 30 independent runs, with a 0.90–1.05 p.u. voltage band adopted because the evening peak cannot satisfy 0.95 p.u. with unity power factor units. For the IEEE 33 bus and 69 bus systems, all 240 runs are feasible; the best solutions accommodate up to 2.85 and 3.30 MW of PV and reduce daily losses from 3.405 to 2.221–2.365 MWh and from 3.768 to 2.344–2.605 MWh, depending on the algorithm. ARO and DE attain the lowest mean objective values, with the differences remaining significant after Holm correction; cyclic repair proves essential for terminal-energy feasibility. The reported PV capacities represent the best feasible solutions found within the computational budget rather than certified hosting capacity limits; the supporting data workbook is provided for independent verification.
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