研究目的
To minimize the energy losses of a distribution network with high photovoltaic penetration by optimally siting battery energy storage systems, considering constraints such as bus voltage limits, line ampacity, and BESS technical characteristics.
研究成果
The introduction of BESS units significantly reduces energy losses, improves voltage and line ampacity profiles in distribution networks with high PV penetration. Optimal siting, especially with a single BESS unit, addresses issues like reverse power flow and voltage rise effectively, though simultaneous charging-discharging of multiple units can cause load spikes. Future work could incorporate optimal scheduling to mitigate these spikes.
研究不足
The study assumes load patterns are uniform across all nodes and uses a simplified model with fixed BESS capacity and depth of discharge. It does not consider dynamic charging-discharging scheduling or real-time control, which could lead to spikes in load curves. The simulations are based on selected days per month for computational efficiency, potentially missing full annual variations.
1：Experimental Design and Method Selection:
The study uses Unified Particle Swarm Optimization (UPSO) to solve the mixed-integer non-linear optimization problem for BESS siting. Simulations are conducted in MATLAB Environment using MATPOWER for power flow analysis.
2：Sample Selection and Data Sources:
The IEEE 33-Bus System is used as the distribution network test case. Load data are standard load profiles from the Retail Market Design Service in Ireland, and solar irradiance data are from SoDa Service.
3：List of Experimental Equipment and Materials:
Software tools include MATLAB and MATPOWER; no specific hardware is mentioned.
4：Experimental Procedures and Operational Workflow:
PV units are first installed to reduce losses, then BESS units are sized based on annual peak load for energy management in peak shaving mode. UPSO is applied to find optimal BESS locations, with scenarios comparing different siting strategies.
5：Data Analysis Methods:
Energy losses, voltage profiles, and line ampacity are analyzed and compared across scenarios using the objective function and constraints defined in the problem formulation.
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