Resilience-oriented planning of integrated electricity and heat systems: A stochastic distributionally robust optimization approach

Zhou, Yizhou; Li, Xiang; Han, Haiteng; Wei, Zhinong; Zang, Haixiang; Sun, Guoqiang; Chen, Sheng

doi:10.1016/j.apenergy.2023.122053

Cited by 25 publications

(2 citation statements)

References 49 publications

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“…The coupling of PDN and natural gas pipelines with a strategy for joint operation using electricity to hydrogen conversion remains to be explored in further research. Some researchers have considered the impact of extreme events when planning the system [36]. In planning hydrogen energy systems, it is possible to increase consideration of the performance of hydrogen equipment in extreme situations, utilizing hydrogen equipment to mitigate the impact of extreme conditions on the IES.…”

Section: Discussionmentioning

confidence: 99%

Coordinated Planning of Electricity-Hydrogen Integrated Energy System Considering Lifecycle Carbon Emissions

Bian,

Zhou,

Guo

et al. 2024

IEEE Access

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Hydrogen energy is a promising solution to reaching carbon emissions peak and carbon neutrality. With the development of hydrogen energy devices, coupling hydrogen energy with renewable energy for power generation can compensate for the intermittency and instability of renewable energy. Furthermore, the two-stage coordinated planning of integrated energy system (IES) and electricity-hydrogen integrated energy system (EHIES), compared to independent planning, can help generate additional benefits and reduce carbon emissions. Therefore, this paper proposes a coordinated planning of EHIES considering lifecycle carbon emissions. In the first stage, aiming to minimize investment costs, network losses, voltage deviations, and lifecycle carbon emissions, the equipment capacity and location of EHIES is determined. The life cycle assessment (LCA) method is used to quantify the lifecycle carbon emissions of the EHIES, preparing for the coordinated operation in the second stage. Subsequently, in the second stage, using carbon emissions flow to allocate users' responsibility for emissions, the carbon emissions per unit electricity of the IES system are calculated. With the optimal cost of independent operation for IES and EHIES as the coordinated operation objective, the alternating direction method of multipliers (ADMM) is employed for sequential solution, obtaining the carbon emissions reduction amount, and iteratively updating until convergence. Finally, the effectiveness of the proposed method is verified by using the IEEE 33-bus power distribution network (PDN) and natural gas 6 node systems. The results show that compared to independent planning, the two-stage coordinated planning method reduces the overall operating cost of IES by 3.81% and decreases carbon emissions by 15.89%. This method is effective in reducing the carbon emissions of IES. INDEX TERMSADMM, Two-stage coordinated planning model, Electricity-Hydrogen Integrated Energy System, Lifecycle carbon emissions NOMENCLATURE ACRONYMS ADMM Alternating direction method of multipliers DES Distributed energy system EHIES Electricity-hydrogen integrated energy system ESS Electric storage systems EV Electric vehicles FC Fuel cells FCS Fast-charging station

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Section: Discussionmentioning

confidence: 99%

Coordinated Planning of Electricity-Hydrogen Integrated Energy System Considering Lifecycle Carbon Emissions

Bian,

Zhou,

Guo

et al. 2024

IEEE Access

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“…The forecast prices for energy and regulation are from (Kazempour et al, 2009). The RegA-type regulation signals of PJM market for a whole year are used to establish the energy demand for frequency regulation (Zhang et al, 2018;Cheng et al, 2023;Zhou et al, 2024). The energy demand for frequency regulation are calculated by averaging regulation signals in every 15 min, and the k-means clustering method is used to generate 10 scenarios to represent the potential frequency regulation requirements.…”

Section: Simulation Settings and Parametersmentioning

confidence: 99%

Optimal scheduling of pumped storage hydropower plants with multi-type of units in day-ahead electricity market considering water head effects

Cao,

Hu,

Cai

2023

Front. Energy Res.

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Pumped-storage hydropower plant (PSHP) is a type of valuable energy storage system and a flexible resource to the modern power system with increasing renewable energy integration. As independent market participants, a PSHP can participate in both the energy market and frequency regulation market to maximize its revenue and contribution to the secure and economic operation of the power system. In some PSHPs, both fixed-speed and variable-speed units are installed to improve the flexibility, especially when operating in the pumping mode. However, it’s difficult to deal with the nonlinear relationships among power, flow, and water head in pumping and generating modes. This paper proposes iterative solution methods for scheduling the PSHP by considering the relationship between power and flow at different water heads for different types of units. The scheduling problem is established as a scenario-based optimization formulation by considering PSHP’s participation in both the energy market and frequency regulation market. In each iteration, the optimal dispatch model is formulated as a Mixed Integer Linear Programming (MILP) problem. Case studies are performed and simulation results validate the effectiveness of the model and the iterative solution methods.

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A Distributionally Robust Bi-level Optimization Model for Power Market Considering Source–Load Interaction and Carbon Permit Allocation

Zhang,

Lai,

Yang

2024

J. Electr. Eng. Technol.

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Resilience-oriented planning of integrated electricity and heat systems: A stochastic distributionally robust optimization approach

Cited by 25 publications

References 49 publications

Coordinated Planning of Electricity-Hydrogen Integrated Energy System Considering Lifecycle Carbon Emissions

Coordinated Planning of Electricity-Hydrogen Integrated Energy System Considering Lifecycle Carbon Emissions

Optimal scheduling of pumped storage hydropower plants with multi-type of units in day-ahead electricity market considering water head effects

A Distributionally Robust Bi-level Optimization Model for Power Market Considering Source–Load Interaction and Carbon Permit Allocation

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