Multi-stage Co-planning Model for Power Distribution System and Hydrogen Energy System Under Uncertainties

Sun Qirun; Wu Zhi; Gu Wei; Liu Pengxiang; Wang Jingxuan; Lu Yuping; Zheng Shu; Zhao Jingtao

DOI:10.35833/MPCE.2022.000337


Multi-stage Co-planning Model for Power Distribution System and Hydrogen Energy System Under Uncertainties



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Author: Qirun Sun¹, Zhi Wu¹, Wei Gu¹, Pengxiang Liu¹, Jingxuan Wang¹, Yuping Lu¹, Shu Zheng², Jingtao Zhao²
Author Affiliation: 1.School of Electrical Engineering, Southeast University, Nanjing 210096, China 2.NARI Technology Development Co. Ltd, Nanjing, China
Foundation:	This work was supported in part by the Postgraduate Research & Practice Innovation Program of Jiangsu Province (No. KYCX22_0258) and in part by the National Natural Science Foundation of China (No. 52177077).

Abstract:	The increased deployment of electricity-based hydrogen production strengthens the coupling of power distribution system (PDS) and hydrogen energy system (HES). Considering that power to hydrogen (PtH) has great potential to facilitate the usage of renewable energy sources (RESs), the coordination of PDS and HES is important for planning purposes under high RES penetration. To this end, this paper proposes a multi-stage co-planning model for the PDS and HES. For the PDS, investment decisions on network assets and RES are optimized to supply the growing electric load and PtHs. For the HES, capacities of PtHs and hydrogen storages (HSs) are optimally determined to satisfy hydrogen load considering the hydrogen production, tube trailer transportation, and storage constraints. The overall planning problem is formulated as a multi-stage stochastic optimization model, in which the investment decisions are sequentially made as the uncertainties of electric and hydrogen load growth states are revealed gradually over periods. Case studies validate that the proposed co-planning model can reduce the total planning cost, promote RES consumption, and obtain more flexible decisions under long-term load growth uncertainties.
Keywords:	Power distribution system ; vehicle-based hydrogen energy system ; co-planning model ; multi-stage stochastic programming ; uncertainty

Received:June 06, 2022 Online Time:2023/01/28



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