Coordinated Investment Planning of Distributed Multi-Type Stochastic Generation and Battery Storage in Active Distribution Networks

This paper presents a scenario-based stochastic active distribution network planning (ADNP) model considering the multi-type distributed generation and battery energy storage (BES). The proposed solution aims to identify the optimal mix, siting, and sizing of wind turbine (WT), photovoltaic (PV), and BES units to maximize the net present value of distribution network operator (DNO) while fully exploiting the BES arbitrage benefit. First, a heuristic moment matching based uncertainty matrix comprising of representative scenarios is generated to effectively capture the stochastic characteristics and correlation among historical WT generation, PV generation, and load demand. Then, the uncertainty matrix is incorporated to formulate the stochastic ADNP problem. The proposed solution minimizes the costs and maximizes the revenues of the DNO. The effectiveness and scalability of the proposed model are evaluated through case studies in the 53-bus and IEEE 123-bus distribution systems. Finally, the performance of the proposed model is compared against the deterministic planning model, and a sensitivity analysis is performed to assess the impact of various planning factors on the proposed solution.