Planning network reinforcement and flexibility as separate tasks obscures when they substitute for, or complement, one another. We formulate a scenario-hour mixed-integer linear program (MILP) that selects photovoltaic and wind capacity, battery power and energy, energy-neutral demand shifting, photovoltaic-inverter reactive power, and branch-rating reinforcement under one planning budget. Every operating constraint is enforced for every scenario and hour; scenario probabilities enter only the secondary tie-breaking terms. The formulation is therefore a deterministic multi-scenario model with an all-scenario feasibility requirement rather than a conventional stochastic program. Electrical-distance zones tie flexible-demand potential to local load, root-path screening limits reinforcement candidates to electrically relevant branches, and inner polygonal limits keep the model linear. A nonlinear backward–forward-sweep alternating-current (AC) power flow then checks all 72 optimized dispatch points. On the MATPOWER case141 141-bus radial distribution system, the integrated plan accommodates 40.899 MW of renewable capacity, 5.28% more than the generation–network baseline. A capacity-matched sequential control, with the same BESS and demand-response totals, candidate set, and inverter support, accommodates 40.826 MW; the two results are effectively equivalent at the 1% MIP tolerance, showing that the larger gain over the originally prescribed sequential package includes resource-quantity and siting effects. The integrated plan adds 21.267 MVA of branch rating, 23.03% less than the generation–network baseline. All nonlinear AC operating points satisfy the 0.95–1.05-p.u. voltage band and post-investment ratings. Changing the branch-rating weight to 25% below and above its nominal value still selects reinforcement, and disabling reinforcement reduces hosting capacity by 49.35–53.19% across the tested weights. Operational flexibility improves the use of transfer capacity but does not supply sustained branch headroom.
Renewable power plants with co-located battery energy storage systems (BESSs) coordinate forecast-deviation control, renewable-surplus management, electricity-price arbitrage, and ancillary-service commitments through the shared power and energy capability of the battery. This study develops a layered framework for sce...
Jing Hu, Yan-Hao Wang, Na-Na Li et al.· Energies· 0 citations
High penetrations of wind and photovoltaic generation create simultaneous challenges for battery energy storage system (BESS) planning in distribution networks, including differences in nodal regulation value, power-energy configuration, and day-ahead operation under forecast uncertainty. This study develops a sequenti...
Jun Ma, Ji-Shen Peng, Hao-Tong Han et al.· Symmetry· 1 citation
High-penetration distributed photovoltaic (PV) generation, energy storage, flexible loads, and voltage source converters (VSCs) are transforming distribution-system operation, making operational flexibility essential in planning. This paper proposes a planning–operation bi-level optimization method for flexible distrib...
Hong-Jun Li, Liang Ma, Xia-Ning Jin et al.· Energies· 0 citations
Distribution networks face increasing pressure from rising loads and renewable energy integration, making the simultaneous optimization of reconfiguration and distributed generation placement a critical engineering challenge, and conventional single-objective methods are insufficient for simultaneously addressing power...
Mohammed Falah Hasan, Rana Abttan· Engineering and Technology J...· 0 citations
High shares of wind and photovoltaic (PV) generation increase the flexibility needed to balance uncertain net load. This study develops a two-stage robust capacity-planning model for controllable distributed generation, battery storage, and hydrogen energy storage under wind, PV, and load uncertainty. Upward and downwa...
Chao Zhang, Liang-Liang Chang, Peng Wei et al.· Frontiers in Energy Research· 0 citations
This paper proposes a two-stage, reliability-driven multi-objective planning framework for fast electric vehicle charging stations (FCSs) integrated with solar photovoltaic (PV) generation and battery energy storage systems (BESS) in coupled power–transportation networks. The framework simultaneously addresses electric...
Tejavath Suresh, Varsha A. Shah, Akanksha Shukla et al.· World Electric Vehicle Journ...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.