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The renewable power-based hydrogen production can lead to the integrated electric power and hydrogen system (IPHS) and a pathway to a sustainable energy utilization. Hydrogen is mainly transported via hydrogen tube trailers (HTs), making the hydrogen energy system (HES) operation quite different from those of others energy technologies. This paper proposes an optimal operation strategy for IPHS which utilizes HT for transportation. The hydrogen generation, transportation, and storage stages are coordinated considering constrained operations of electric power system (EPS), transportation system, and variable renewable energy. The proposed solution method is based on the alternating direction method of multipliers (ADMM) in which HES and EPS constraints are managed individually and the solutions are coordinated accordingly. The case studies using the modified IEEE-RTS79 have verified the validity of the proposed integrated model and its solution method and confirmed the necessity for considering hydrogen transportation for enhancing the EPS operation. The synergies between EPS and HES are also studied via numerical examples especially the impact of the flexibility in hydrogen generation, transportation and demand.
Chengcheng Shao; Chen Jia Feng; Mohammad Shahidehpour; Quan Zhou; Xiuli Wang; Xifan Wang. Optimal Stochastic Operation of Integrated Electric Power and Renewable Energy With Vehicle-Based Hydrogen Energy System. IEEE Transactions on Power Systems 2021, 36, 4310 -4321.
AMA StyleChengcheng Shao, Chen Jia Feng, Mohammad Shahidehpour, Quan Zhou, Xiuli Wang, Xifan Wang. Optimal Stochastic Operation of Integrated Electric Power and Renewable Energy With Vehicle-Based Hydrogen Energy System. IEEE Transactions on Power Systems. 2021; 36 (5):4310-4321.
Chicago/Turabian StyleChengcheng Shao; Chen Jia Feng; Mohammad Shahidehpour; Quan Zhou; Xiuli Wang; Xifan Wang. 2021. "Optimal Stochastic Operation of Integrated Electric Power and Renewable Energy With Vehicle-Based Hydrogen Energy System." IEEE Transactions on Power Systems 36, no. 5: 4310-4321.
Balancing energy generation and consumption is essential for smoothing the power grids. The mismatch between energy supply and demand would not only increase the cost on both sides, but also has a great impact on the stability of the system. This paper proposes a novel energy sharing mechanism (ESM) to facilitate the consumption of local energy. With the help of the ESM, multiple prosumers have an opportunity to share surplus energy with neighboring prosumers. The problem is formulated as a leader–follower framework based on the Stackelberg game theory. To address the aforementioned problems, a deep deterministic policy gradient (DDPG) is applied to solve the Nash equilibrium (NE). The numerical results demonstrate that the proposed method is more stable than the conventional reinforcement learning (RL) algorithm. Moreover, the proposed method can converge to NE and find a relatively good energy sharing (ES) pricing strategy without knowing the specific system information. In short, it is notable that the proposed ESM can be seen as a win–win strategy for both prosumers and the power system.
Yi Kuang; Xiuli Wang; Hongyang Zhao; Yijun Huang; Xianlong Chen; Xifan Wang. Agent-Based Energy Sharing Mechanism Using Deep Deterministic Policy Gradient Algorithm. Energies 2020, 13, 5027 .
AMA StyleYi Kuang, Xiuli Wang, Hongyang Zhao, Yijun Huang, Xianlong Chen, Xifan Wang. Agent-Based Energy Sharing Mechanism Using Deep Deterministic Policy Gradient Algorithm. Energies. 2020; 13 (19):5027.
Chicago/Turabian StyleYi Kuang; Xiuli Wang; Hongyang Zhao; Yijun Huang; Xianlong Chen; Xifan Wang. 2020. "Agent-Based Energy Sharing Mechanism Using Deep Deterministic Policy Gradient Algorithm." Energies 13, no. 19: 5027.
This paper proposes a contract based mechanism to ensure the optimal management of a microgrid including smart buildings and local generation. The aim is to find a trade-off between the microgrid management system (MGMS) and the building energy management systems (BEMS) while preserving the building privacy. In this approach, the MGMS guaranties the prices of energy for buildings and the BEMS provides upward and downward flexibility proposals that can be activated by the MGMS. The exchanges between the two management systems are standardized and independent of the mechanism used by the BEMS to provide flexibility. The framework is implemented for electric heating buildings and an example is provided.
Yang Chen; Hervé Guéguen; Xiuli Wang. Managing flexibility of power consumption of smart buildings on microgrid. IFAC-PapersOnLine 2019, 52, 383 -388.
AMA StyleYang Chen, Hervé Guéguen, Xiuli Wang. Managing flexibility of power consumption of smart buildings on microgrid. IFAC-PapersOnLine. 2019; 52 (4):383-388.
Chicago/Turabian StyleYang Chen; Hervé Guéguen; Xiuli Wang. 2019. "Managing flexibility of power consumption of smart buildings on microgrid." IFAC-PapersOnLine 52, no. 4: 383-388.
Multi-terminal VSC-HVDC (MTDC) is considered to be a attractive option for integrating wind energy from large-scale offshore wind farms. This paper proposes a distributionally robust economic dispatch model with considering the operation of MTDC. The power output of a wind farm is a random variable and assumed to follow an unknown probability distribution. The proposed model aims to seek the optimal economic dispatch decision under the worst-case probability distribution. Although the power equations for MTDC are nonlinear, we obtain a linear approximation by linearizing them around the nominal voltage. We propose a method to transform the proposed model to a linear model and it can be solved efficiently.
Li Yao; Xiuli Wang. Distributionally Robust Chance-constrained Economic Dispatch For Integrating Wind Energy Through Multi-terminal VSC-HVDC. IFAC-PapersOnLine 2019, 52, 159 -164.
AMA StyleLi Yao, Xiuli Wang. Distributionally Robust Chance-constrained Economic Dispatch For Integrating Wind Energy Through Multi-terminal VSC-HVDC. IFAC-PapersOnLine. 2019; 52 (4):159-164.
Chicago/Turabian StyleLi Yao; Xiuli Wang. 2019. "Distributionally Robust Chance-constrained Economic Dispatch For Integrating Wind Energy Through Multi-terminal VSC-HVDC." IFAC-PapersOnLine 52, no. 4: 159-164.
The requirement for energy sustainability drives the development of integrated energy distribution systems (IEDSs). In this paper, considering the coordination of district multi-energy systems (DMESs), a hierarchical management strategy is proposed to enhance IEDS resilience. The proposed strategy is divided into three modes: the normal operation mode, the preventive operation mode and the resilient operation mode. In the normal operation mode, the objective of DEMSs is to minimize the operation costs. In the preventive operation mode, the objective of DEMSs is to maximize the stored energy for mitigating outage. The resilient operation mode consists of two stages. DMESs schedule their available resources and broadcast excess generation capacities or unserved loads to neighboring DMESs through the cyber communication network in the first stage. In the second stage, DMESs interchange electricity and natural gas with each other through the physical common bus for global optimization. A consensus algorithm was applied to determine the allocated proportions of exported or imported electricity and natural gas for each DMES in a distributed way. An IEDS including five DMESs was used as a test system. The results of the case studies demonstrate the effectiveness of the proposed hierarchical management strategy and algorithm.
Shixiong Qi; Xiuli Wang; Xue Li; Tao Qian; Qiwen Zhang. Enhancing Integrated Energy Distribution System Resilience through a Hierarchical Management Strategy in District Multi-Energy Systems. Sustainability 2019, 11, 4048 .
AMA StyleShixiong Qi, Xiuli Wang, Xue Li, Tao Qian, Qiwen Zhang. Enhancing Integrated Energy Distribution System Resilience through a Hierarchical Management Strategy in District Multi-Energy Systems. Sustainability. 2019; 11 (15):4048.
Chicago/Turabian StyleShixiong Qi; Xiuli Wang; Xue Li; Tao Qian; Qiwen Zhang. 2019. "Enhancing Integrated Energy Distribution System Resilience through a Hierarchical Management Strategy in District Multi-Energy Systems." Sustainability 11, no. 15: 4048.
The requirement for energy sustainability drives the development of renewable energy technologies and gas-fired power generation. The increasing installation of gas-fired units significantly intensifies the interdependency between the electricity system and natural gas system. The joint scheduling of electricity and natural gas systems has become an attractive option for improving energy efficiency. This paper proposes a robust day-ahead scheduling model for electricity and natural gas system, which minimizes the total cost including fuel cost, spinning reserve cost and cost of operational risk while ensuring the feasibility for all scenarios within the uncertainty set. Different from the conventional robust optimization with predefined uncertainty set, a new approach with risk-averse adjustable uncertainty set is proposed in this paper to mitigate the conservatism. Furthermore, the Wasserstein–Moment metric is applied to construct ambiguity sets for computing operational risk. The proposed scheduling model is solved by the column-and-constraint generation method. The effectiveness of the proposed approach is tested on a 6-bus test system and a 118-bus system.
Li Yao; Xiuli Wang; Tao Qian; Shixiong Qi; Chengzhi Zhu. Robust Day-Ahead Scheduling of Electricity and Natural Gas Systems via a Risk-Averse Adjustable Uncertainty Set Approach. Sustainability 2018, 10, 3848 .
AMA StyleLi Yao, Xiuli Wang, Tao Qian, Shixiong Qi, Chengzhi Zhu. Robust Day-Ahead Scheduling of Electricity and Natural Gas Systems via a Risk-Averse Adjustable Uncertainty Set Approach. Sustainability. 2018; 10 (11):3848.
Chicago/Turabian StyleLi Yao; Xiuli Wang; Tao Qian; Shixiong Qi; Chengzhi Zhu. 2018. "Robust Day-Ahead Scheduling of Electricity and Natural Gas Systems via a Risk-Averse Adjustable Uncertainty Set Approach." Sustainability 10, no. 11: 3848.
The integration of demand flexibility in distributed generation (DG) planning either lacks accuracy or ignores the potential of the behaviour of consumers in promoting the integration of renewables. This study proposes a DG planning model coordinating demand flexibility, in which the DG expansion plan and the behaviour of consumers in demand response (DR) programmes are co-optimised for the highest social welfare and the optimal utilisation of renewable generation. Consequently, the supply cost is reduced by utilising higher renewable generation instead of buying electricity from the grid. A share of the cost savings is allocated to the consumers to encourage their participation in DR programmes. Simulation results show that the expansion capacity of renewable generation is increased by 7.4% compared with no demand flexibility incorporation, and the social welfare is increased by up to 13.5% compared with no DG installation and 3.1% compared with no demand flexibility incorporation. Besides, the DR programmes carried out in the distribution system interact with the DG expansion plan, and higher subsidy rates in DR programmes could further promote the integration of renewables.
Can Dang; Xifan Wang; Xiuli Wang; Furong Li; Baorong Zhou. DG planning incorporating demand flexibility to promote renewable integration. IET Generation, Transmission & Distribution 2018, 12, 4419 -4425.
AMA StyleCan Dang, Xifan Wang, Xiuli Wang, Furong Li, Baorong Zhou. DG planning incorporating demand flexibility to promote renewable integration. IET Generation, Transmission & Distribution. 2018; 12 (20):4419-4425.
Chicago/Turabian StyleCan Dang; Xifan Wang; Xiuli Wang; Furong Li; Baorong Zhou. 2018. "DG planning incorporating demand flexibility to promote renewable integration." IET Generation, Transmission & Distribution 12, no. 20: 4419-4425.