Browsing by Author "Xu, Yan"

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Cooperative Operation of Renewable-Integrated Multi-Energy Microgrids Under Dynamic Rolling Horizon Strategy
(2023) Li, Zhengmao; Kyyrä, Jorma; Xu, Yan; Zhao, Tianyang; Wang, Yunqi
A4 Artikkeli konferenssijulkaisussa
In this paper, a cooperative operation method is proposed in a multi-energy microgrid with high penetration levels of renewable energy sources. To handle uncertainties rising from wind turbines and photovoltaic cells, the rolling optimization approach is thus applied to achieve online multi-energy management with the constantly updated information. Through the effective coordination of energy markets, multi-energy networks, energy storage systems, and generators, a reliable and economic operation scheme is fulfilled. At last, to show the effectiveness of our proposed method, a case study with two compassion cases for the operation of multi-energy microgrids is done. The simulation results indicate that our method is more cost-effective for the cooperative operation of renewable-integrated multi-energy microgrids under uncertainty sources.
Joint Planning of Utility-Owned Distributed Energy Resources in an Unbalanced Active Distribution Network Considering Asset Health Degradation
(2024-07-01) Leng, Ruoxuan; Li, Zhengmao; Xu, Yan
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Rapid integration of distributed energy resources (DERs) in active distribution networks (ADNs) necessitates advanced planning methods to optimally determine the size, site, and installation time of DERs. However, existing approaches often assume balanced networks and neglect health degradation of DER assets, limiting the accuracy and practicality of the planning results. This paper proposes a new planning method for utility-owned distributed generators (DGs) and energy storage systems (ESSs) in an unbalanced ADN considering asset health degradation. First, the three-phase branch flow is modeled for unbalanced characteristics of ADNs, and host DERs separately in different phases. Then, based on the Wiener degradation process, the aging path of each DG unit is modeled to estimate its available capacity along with service time; the ESS aging is modeled to reflect the degradation cost during charging and discharging. Finally, a copula-based stochastic programming method is presented considering the correlations between renewables and power demands. The inclusion of market volatility in electricity price uncertainty further enhances planning realism. Numerical case studies on an IEEE-34 bus three-phase ADN demonstrate the effectiveness and advantages of the proposed method.
Resilience enhancement of a multi-energy distribution system via joint network reconfiguration and mobile sources scheduling
(2024) Shi, Zhao; Xu, Yan; Li, Zhengmao; Xie, Dunjian; Ghias, Amer M. Y. M.
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
This paper proposes a new resilience enhancement strategy for a multi-energy distribution system (MDS) through coordinated reconfiguration of the coupled-power-and-heat network, scheduling of mobile power sources (MPSs) as well as the dispatch of stationary distributed energy resources (DERs) including renewable energy generation and energy storage systems (ESSs). Firstly, a resilient-oriented joint network reconfiguration model is proposed for a radial MDS after the disaster. The heat network is formulated as a quasi-linear flow model which is independent of the flow rate and temperature for alleviating computation burdens and reconfiguration. Then, MPSs are dynamically dispatched in the MDS for power exchange with MPS stations, to support the restoration of both the power and heat loads. Thirdly, the whole restoration model is linearized as a mixed-integer linear program (MILP) problem with heterogeneous temporally-spatially, operational, and topology constraints. Finally, numerical case studies are done to validate the effectiveness of the proposed strategy.