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  • 1
    Online Resource
    Online Resource
    Can virtual power plants promote energy transformation—Empirical test based on pilot provinces
    Elsevier BV ; 2023
    In:  Energy Reports Vol. 9 ( 2023-12), p. 6135-6148
    Details
    In: Energy Reports, Elsevier BV, Vol. 9 ( 2023-12), p. 6135-6148
    Type of Medium: Online Resource
    ISSN: 2352-4847
    URL: Article
    DOI: 10.1016/j.egyr.2023.05.023
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2023
    detail.hit.zdb_id: 2814795-9
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  • 2
    Online Resource
    Online Resource
    A CVaR-robust-based multi-objective optimization model and three-stage solution algorithm for a virtual power plant considering uncertainties and carbon emission allowances
    Elsevier BV ; 2019
    In:  International Journal of Electrical Power & Energy Systems Vol. 107 ( 2019-05), p. 628-643
    Details
    In: International Journal of Electrical Power & Energy Systems, Elsevier BV, Vol. 107 ( 2019-05), p. 628-643
    Type of Medium: Online Resource
    ISSN: 0142-0615
    URL: Article
    DOI: 10.1016/j.ijepes.2018.12.012
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2019
    detail.hit.zdb_id: 2001425-9
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  • 3
    Online Resource
    Online Resource
    Multi-timescale interaction of a coupled electricity-hydrogen-gas system with a distribution network considering dynamic games
    Elsevier BV ; 2023
    In:  Sustainable Cities and Society Vol. 96 ( 2023-09), p. 104639-
    Details
    In: Sustainable Cities and Society, Elsevier BV, Vol. 96 ( 2023-09), p. 104639-
    Type of Medium: Online Resource
    ISSN: 2210-6707
    URL: Article
    DOI: 10.1016/j.scs.2023.104639
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2023
    detail.hit.zdb_id: 2573417-9
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  • 4
    Online Resource
    Online Resource
    Multi time scale operation optimization of EHHGS considering equipment uncertainty and response characteristics
    Elsevier BV ; 2023
    In:  Journal of Cleaner Production Vol. 382 ( 2023-01), p. 135106-
    Details
    In: Journal of Cleaner Production, Elsevier BV, Vol. 382 ( 2023-01), p. 135106-
    Type of Medium: Online Resource
    ISSN: 0959-6526
    URL: Article
    DOI: 10.1016/j.jclepro.2022.135106
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2023
    detail.hit.zdb_id: 1179393-4
    detail.hit.zdb_id: 2029338-0
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  • 5
    Online Resource
    Online Resource
    An Evolutionary Game Study of Clean Heating Promotion Mechanisms under the Policy Regulation in China
    MDPI AG ; 2019
    In:  Sustainability Vol. 11, No. 14 ( 2019-07-10), p. 3778-
    Details
    In: Sustainability, MDPI AG, Vol. 11, No. 14 ( 2019-07-10), p. 3778-
    Abstract: Recently, various Chinese provinces have greatly reduced their coal consumption due to new environmental protection policies. Because of these policies, the orderly development of the clean energy heating mode has been effectively promoted. As the problem of air pollution in the northern part of China is particularly prominent, adopting clean heating in winter is an important solution to control air pollution for those regions. However, there is a tricky balance to be struck between the government and the heating companies when it comes to using clean heating during winter. Therefore, it is crucial for the government and heating enterprises to research new strategies. Consequently, this paper carries out a comprehensive study on the multiple factors influencing the game relationship between the government and heating enterprises, and tries to set up a more general model for the theoretical analysis of mechanisms of clean heating promotion, as well as their numerical simulation. The research results show: (1) The initial possibilities available to government and heating enterprises have a significant impact on the final strategy choice for the heating system; (2) due to advantages such as increases in social benefits, subsidies, fines, and clean heating profits, as well as the lessening of traditional heating costs, and regardless of the decrease in traditional heating profits, it is possible for the government to adopt the promotion strategy; and (3) there are more opportunities for heating companies to pursue in order to implement clean heating strategies. In conclusion, this paper proposes valuable suggestions for the government and heating companies concerning clean heating in China.
    Type of Medium: Online Resource
    ISSN: 2071-1050
    URL: Article
    DOI: 10.3390/su11143778
    Language: English
    Publisher: MDPI AG
    Publication Date: 2019
    detail.hit.zdb_id: 2518383-7
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  • 6
    Online Resource
    Online Resource
    Multi-Objective Robust Scheduling Optimization Model of Wind, Photovoltaic Power, and BESS Based on the Pareto Principle
    MDPI AG ; 2019
    In:  Sustainability Vol. 11, No. 2 ( 2019-01-09), p. 305-
    Details
    In: Sustainability, MDPI AG, Vol. 11, No. 2 ( 2019-01-09), p. 305-
    Abstract: With the increasing proportion of distributed power supplies connected to the power grid, the application of a battery energy storage system (BESS) to a power system leads to new ideas of effectively solving the problem of distributed power grid connections. There is obvious uncertainty involved in distributed power output, and these uncertainties must be considered when optimizing the scheduling of virtual power plants. In this context, scene simulation technology was used to manage the uncertainty of wind power and photovoltaic output, forming a classic scenario. In this study, to reduce the influence of the uncertainty of wind and photovoltaic power output on the stable operation of the system, the time-of-use (TOU) prices and BESS were incorporated into the optimal scheduling problem that is inherent in wind and photovoltaic power. First, this study used the golden section method to simulate the wind and photovoltaic power output; second, the day-ahead wind and photovoltaic power output were used as the random variables; third, a wind and photovoltaic power BESS robust scheduling model that considers the TOU price was constructed. Finally, this paper presents the Institute of Electrical and Electronics Engineers (IEEE) 30 bus system in an example simulation, where the solution set is based on the Pareto principle, and the global optimal solution can be obtained by the robust optimization model. The results show that the cooperation between the TOU price and BESS can counteract wind and photovoltaic power uncertainties, improve system efficiency, and reduce the coal consumption of the system. The example analysis proves that the proposed model is practical and effective. By accounting for the influence of uncertainty of the optimal scheduling model, the actual operating cost can be reduced, and the robustness of the optimization strategy can be improved.
    Type of Medium: Online Resource
    ISSN: 2071-1050
    URL: Article
    DOI: 10.3390/su11020305
    Language: English
    Publisher: MDPI AG
    Publication Date: 2019
    detail.hit.zdb_id: 2518383-7
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  • 7
    Online Resource
    Online Resource
    Research on Incremental Distribution Network Operation Model Based on Cost-Benefit Perspective
    IOP Publishing ; 2020
    In:  IOP Conference Series: Earth and Environmental Science Vol. 546, No. 5 ( 2020-07-01), p. 052040-
    Details
    In: IOP Conference Series: Earth and Environmental Science, IOP Publishing, Vol. 546, No. 5 ( 2020-07-01), p. 052040-
    Abstract: In order to select the optimal mode of incremental distribution network and increase the revenue of the incremental distribution network, incremental distribution network cost-benefit model in three scenarios were established: non-sales company investment + operation, electricity sales company investment + operation, non-sales company investment + electricity sales company operation. At the same time, the three operating models are evaluated using three indicators: net present value, dynamic investment payback period, and net present value rate. Finally, take an incremental distribution network as an example to verify the effectiveness of the model. The result of the calculation example is that the electricity sales company’s investment + operation model has higher economic benefits than other models, the investment payback period is shorter, and the unit investment income is higher.
    Type of Medium: Online Resource
    ISSN: 1755-1307 , 1755-1315
    URL: Article
    DOI: 10.1088/1755-1315/546/5/052040
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2020
    detail.hit.zdb_id: 2434538-6
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  • 8
    Online Resource
    Online Resource
    Benefit analysis and evaluation of virtual power plants considering electric vehicles
    EDP Sciences ; 2021
    In:  E3S Web of Conferences Vol. 248 ( 2021), p. 02024-
    Details
    In: E3S Web of Conferences, EDP Sciences, Vol. 248 ( 2021), p. 02024-
    Abstract: Under the background of increasingly serious environmental pollution, virtual power plants have become an effective way to solve environmental pollution due to the characteristics of integrating a large number of clean distributed energy generation. At the same time, electric vehicles with dual attributes of power supply and load bring opportunities for the further development of virtual power plants. In this paper, the ideal matter-element comprehensive benefit evaluation model of virtual power plants is constructed by constructing the index system and weighting model of virtual power plants considering electric vehicles. The virtual power plants connected with different proportion of electric vehicles are taken as an example analysis. The results of the example analysis show that the comprehensive benefit of virtual power plants is the highest when the proportion of electric vehicles access reaches 120%.
    Type of Medium: Online Resource
    ISSN: 2267-1242
    URL: Article
    DOI: 10.1051/e3sconf/202124802024
    Language: English
    Publisher: EDP Sciences
    Publication Date: 2021
    detail.hit.zdb_id: 2755680-3
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  • 9
    Online Resource
    Online Resource
    An Income Distributing Optimization Model for Cooperative Operation among Different Types of Power Sellers Considering Different Scenarios
    MDPI AG ; 2018
    In:  Energies Vol. 11, No. 11 ( 2018-10-24), p. 2895-
    Details
    In: Energies, MDPI AG, Vol. 11, No. 11 ( 2018-10-24), p. 2895-
    Abstract: To alleviate the shortcomings of large-scale grid connections for clean energy, which require stable thermoelectric units to provide backup services, a stable cooperative alliance among different energy types of power sellers must be established. Consequently, a reasonable method to distribute income is required, due to different contributions of each entity in the alliance. Therefore, this paper constructs a comprehensive correction algorithm for income distribution using an improved Shapely value method. We analyze the operating mode of the power seller, and establish the net income calculation model under both independent and alliance operations. We then establish an alliance operation optimization model that considers the constraints of unit output, as well as the balance between supply and demand, with the goal of maximizing income. Finally, an industrial park in a province of northern China is taken as an example to verify the model’s practicability and effectiveness. The results show that the power sales alliance can effectively promote clean energy consumption. The maximum reduction in thermal power generation and CO2 is 8510 MW and 684.515 tons, respectively. We apply the algorithm to income distribution and find that the thermal power seller’s income increased by ¥1,463,870, which enhances the stability of the alliance. Therefore, our income distributing optimization model guarantees the interests of each participant to the greatest extent, and serves as an important reference for income distribution.
    Type of Medium: Online Resource
    ISSN: 1996-1073
    URL: Article
    DOI: 10.3390/en11112895
    Language: English
    Publisher: MDPI AG
    Publication Date: 2018
    detail.hit.zdb_id: 2437446-5
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  • 10
    Online Resource
    Online Resource
    A Robust Scheduling Optimization Model for an Integrated Energy System with P2G Based on Improved CVaR
    MDPI AG ; 2018
    In:  Energies Vol. 11, No. 12 ( 2018-12-07), p. 3437-
    Details
    In: Energies, MDPI AG, Vol. 11, No. 12 ( 2018-12-07), p. 3437-
    Abstract: The uncertainty of wind power and photoelectric power output will cause fluctuations in system frequency and power quality. To ensure the stable operation of the power system, a comprehensive scheduling optimization model for the electricity-to-gas integrated energy system is proposed. Power-to-gas (P2G) technology enhances the flexibility of the integrated energy system and the power system in absorbing renewable energy. In this context, firstly, an electricity-to-gas optimization scheduling model is proposed, and the improved Conditional Value at Risk (CVaR) is proposed to deal with the uncertainty of wind power and photoelectric power output. Secondly, taking the integrated energy system with the P2G operating cost and the carbon emission cost as the objective function, an optimal scheduling model of the multi-energy system is solved by the A Mathematical Programming Language (AMPL) solver. Finally, the results of the example illustrate the optimal multi-energy system scheduling model and analyze the economic benefits of the P2G technology to improve the system to absorb wind power and photovoltaic power. The simulation calculation of the proposed model demonstrates the necessity of taking into account the operating cost of the electrical gas conversion in the integrated energy system, and the feasibility of considering the economic and wind power acceptance capabilities.
    Type of Medium: Online Resource
    ISSN: 1996-1073
    URL: Article
    DOI: 10.3390/en11123437
    Language: English
    Publisher: MDPI AG
    Publication Date: 2018
    detail.hit.zdb_id: 2437446-5
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