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Dr. Guangyu QIN
North China Electric Power University, Beijing China.

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0 Evaluation Methodologies
0 Electricity market
0 Load forecasting
0 Integrated energy systems
0 Optimization in Energy Systems

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Journal article
Published: 20 February 2021 in Energies
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With the increasing demand for clean and low-carbon energy, high proportion of renewable energy has been integrated into the receiving-end grid. The grid-side energy storage project can ensure the safe and stable operation of the grid, but it still faces many problems, such as high initial investment, difficult operation and maintenance, unclear profit model, lack of business mode. Therefore, it is of great significance to evaluate the comprehensive benefit of energy storage projects in order to guide the sustainable development of large-scale energy storage projects and power system. By studying the technical and economic characteristics of energy storage, this paper establishes a comprehensive evaluation system from four dimensions of energy efficiency, economic, social, and environmental benefit. Combined with typical business modes and determining the subdivision index system of different modes, the comprehensive benefit evaluation model of grid-side commercial storage project based on Fuzzy-Analytic Network Process (ANP) approach is established. Empirical analysis of a 100-megawatt storage project is carried out to evaluate the project benefits comprehensively, the potential problems of the market development and business mode of the grid-side large-scale storage project are discussed, and the future development orientation and suggestions are put forward.

ACS Style

Huijia Yang; Weiguang Fan; Guangyu Qin; Zhenyu Zhao. A Fuzzy-ANP Approach for Comprehensive Benefit Evaluation of Grid-Side Commercial Storage Project. Energies 2021, 14, 1129 .

AMA Style

Huijia Yang, Weiguang Fan, Guangyu Qin, Zhenyu Zhao. A Fuzzy-ANP Approach for Comprehensive Benefit Evaluation of Grid-Side Commercial Storage Project. Energies. 2021; 14 (4):1129.

Chicago/Turabian Style

Huijia Yang; Weiguang Fan; Guangyu Qin; Zhenyu Zhao. 2021. "A Fuzzy-ANP Approach for Comprehensive Benefit Evaluation of Grid-Side Commercial Storage Project." Energies 14, no. 4: 1129.

Conference paper
Published: 23 January 2021 in IOP Conference Series: Earth and Environmental Science
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The optimal configuration of the integrated energy system directly affects investment benefits and operating efficiency, which is one of the keys to the planning of the integrated energy system. This article models wind power generation, photovoltaics, combined cooling-heat-electricity, electric refrigeration and electric heating equipment for the park-level integrated energy system. On this basis, a multi-energy complementary capacity configuration optimization model was established. And taking a certain park as an example, the system capacity optimization configuration example analysis was carried out, and a reasonable optimization configuration plan was proposed to provide technical support for comprehensive energy system planning.

ACS Style

Baozhong Zhou; Sihan Wu; Yue Zhang; Guangyu Qin; Dunnan Liu. Research on Key Technology and Operation Mode of Integrated-Energy Services to Adapt to the New Environment of Power Market. IOP Conference Series: Earth and Environmental Science 2021, 621, 012017 .

AMA Style

Baozhong Zhou, Sihan Wu, Yue Zhang, Guangyu Qin, Dunnan Liu. Research on Key Technology and Operation Mode of Integrated-Energy Services to Adapt to the New Environment of Power Market. IOP Conference Series: Earth and Environmental Science. 2021; 621 (1):012017.

Chicago/Turabian Style

Baozhong Zhou; Sihan Wu; Yue Zhang; Guangyu Qin; Dunnan Liu. 2021. "Research on Key Technology and Operation Mode of Integrated-Energy Services to Adapt to the New Environment of Power Market." IOP Conference Series: Earth and Environmental Science 621, no. 1: 012017.

Journal article
Published: 22 January 2021 in Sustainability
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Accurate wind power forecasting is essential to reduce the negative impact of wind power on the operation of the grid and the operation cost of the power system. Day-ahead wind power forecasting plays an important role in the day-ahead electricity spot trading market. However, the instability of the wind power series makes the forecast difficult. To improve forecast accuracy, a hybrid optimization algorithm is established in this study, which combines variational mode decomposition (VMD), maximum relevance & minimum redundancy algorithm (mRMR), long short-term memory neural network (LSTM), and firefly algorithm (FA) together. Firstly, the original historical wind power sequence is decomposed into several characteristic model functions with VMD. Then, mRMR is applied to obtain the best feature set by analyzing the correlation between each component. Finally, the FA is used to optimize the various parameters LSTM. Adding the forecasting results of all sub-sequences acquires the forecasting result. It turns out that the proposed hybrid algorithm is superior to the other six comparison algorithms. At the same time, an additional case is provided to further verify the adaptability and stability of the proposed hybrid model.

ACS Style

Guangyu Qin; QingYou Yan; Jingyao Zhu; Chuanbo Xu; Daniel Kammen. Day-Ahead Wind Power Forecasting Based on Wind Load Data Using Hybrid Optimization Algorithm. Sustainability 2021, 13, 1164 .

AMA Style

Guangyu Qin, QingYou Yan, Jingyao Zhu, Chuanbo Xu, Daniel Kammen. Day-Ahead Wind Power Forecasting Based on Wind Load Data Using Hybrid Optimization Algorithm. Sustainability. 2021; 13 (3):1164.

Chicago/Turabian Style

Guangyu Qin; QingYou Yan; Jingyao Zhu; Chuanbo Xu; Daniel Kammen. 2021. "Day-Ahead Wind Power Forecasting Based on Wind Load Data Using Hybrid Optimization Algorithm." Sustainability 13, no. 3: 1164.

Journal article
Published: 14 April 2020 in Sustainability
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In order to protect the environment and reduce energy consumption, new energy vehicles have begun to be vigorously promoted in various countries. In recent years, the rise of intelligent technology has had a great impact on the supply chain of new energy vehicles, which, coupled with the complexity of the supply chain itself, puts it at great risk. Therefore, it is quite indispensable to evaluate the risk of the new energy vehicle supply chain. This paper assesses the risks faced by China’s new energy vehicle supply chain in this period of technological transformation. First of all, this paper establishes an evaluation criteria system of 16 sub-criterion related to three dimensions: the market risk, operational risk, and the environmental risk. Then, variable weight theory is proposed to modify the constant weight obtained by the fuzzy analytic hierarchy process (FAHP). Finally, a risk assessment of China’s new energy vehicle supply chain is carried out by combining the variable weight and the cloud model. This method can effectively explain the randomness of matters, and avoid the influence of value abnormality on the criteria system. The results show that China’s new energy vehicle supply chain is at a high level. Through the identification of risk factors, mainly referring to the low clustering risk, technical level risk and information transparency risk, this paper can provide a risk prevention reference for corresponding enterprises.

ACS Style

QingYou Yan; Meijuan Zhang; Wei Li; Guangyu Qin. Risk Assessment of New Energy Vehicle Supply Chain Based on Variable Weight Theory and Cloud Model: A Case Study in China. Sustainability 2020, 12, 3150 .

AMA Style

QingYou Yan, Meijuan Zhang, Wei Li, Guangyu Qin. Risk Assessment of New Energy Vehicle Supply Chain Based on Variable Weight Theory and Cloud Model: A Case Study in China. Sustainability. 2020; 12 (8):3150.

Chicago/Turabian Style

QingYou Yan; Meijuan Zhang; Wei Li; Guangyu Qin. 2020. "Risk Assessment of New Energy Vehicle Supply Chain Based on Variable Weight Theory and Cloud Model: A Case Study in China." Sustainability 12, no. 8: 3150.

Journal article
Published: 02 March 2020 in Journal of Cleaner Production
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Biomass power generation is a resource-friendly, environment-friendly industry that requires policy support. Our contribution lies in that we proposed a system dynamics model to analysis the development of biomass power generation under emission trading scheme and investment subsidy in China. To our best knowledge, there is no research about this issue by system dynamics now. We found that (1) Due to the resource limitation, the trends of installed capacity of straw and waste incineration power generation in all scenarios are characterized by an “S” shape. (2) In the early stages of development, when two policies are issued simultaneously, they can reinforce each other. As time goes by, when biomass power generation is basically mature, two kinds of policies will weaken each other. (3) The change of investment subsidy has a greater impact than the change of emission trading price. In addition, waste and straw power generations are more sensitive to an increased subsidy than to a decreased subsidy. Waste power is more sensitive to an increased permit price, while straw power is more sensitive to a decreased permit price. The results and policy implications in this paper can help Chinese government to establish policy schemes for developing biomass power generation.

ACS Style

Dunnan Liu; Mingguang Liu; Bowen Xiao; Xiaodan Guo; Dongxiao Niu; Guangyu Qin; Heping Jia. Exploring biomass power generation’s development under encouraged policies in China. Journal of Cleaner Production 2020, 258, 120786 .

AMA Style

Dunnan Liu, Mingguang Liu, Bowen Xiao, Xiaodan Guo, Dongxiao Niu, Guangyu Qin, Heping Jia. Exploring biomass power generation’s development under encouraged policies in China. Journal of Cleaner Production. 2020; 258 ():120786.

Chicago/Turabian Style

Dunnan Liu; Mingguang Liu; Bowen Xiao; Xiaodan Guo; Dongxiao Niu; Guangyu Qin; Heping Jia. 2020. "Exploring biomass power generation’s development under encouraged policies in China." Journal of Cleaner Production 258, no. : 120786.

Journal article
Published: 13 January 2020 in Applied Sciences
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At the present stage, China’s energy development has the following characteristics: continuous development of new energy technology, continuous expansion of comprehensive energy system scale, and wide application of multi-energy coupling technology. Under the new situation, the accurate prediction of power load is the key to alleviate the problem that the planning and dispatching of the current power system is more complex and more demanding than the traditional power system. Therefore, firstly, this paper designs the calculation method of the power load demand of the grid under the multi-energy coupling mode, aiming at the important role of the grid in the power dispatching in the comprehensive energy system. This load calculation method for regional power grid operating load forecasting is proposed for the first time, which takes the total regional load demand and multi-energy coupling into consideration. Then, according to the participants and typical models in the multi-energy coupling mode, the key factors affecting the load in the multi-energy coupling mode are analyzed. At this stage, we fully consider the supply side resources and the demand side resources, innovatively extract the energy system structure characteristics under the condition of multi-energy coupling technology, and design a key factor index system for this mode. Finally, a least squares support vector machine optimized by the minimal redundancy maximal relevance model and the adaptive fireworks algorithm (mRMR-AFWA-LSSVM) is proposed, to carry out load forecasting for multi-energy coupling scenarios. Aiming at the complexity energy system analysis and prediction accuracy improvement of multi-energy coupling scenarios, this method applies minimal redundancy maximal relevance model to the selection of key factors in scenario analysis. It is also the first time that adaptive fireworks algorithm is applied to the optimization of adaptive fireworks algorithm, and the results show that the model optimization effect is good. In the case of A region quarterly load forecasting in southwest China, the average absolute percentage error of a least squares support vector machine optimized by the minimal redundancy maximal relevance model and the adaptive fireworks algorithm (mRMR-AFWA-LSSVM) is 2.08%, which means that this model has a high forecasting accuracy.

ACS Style

Mingguang Liu; Lingxiang Wang; Guangyu Qin. Power Load Demand Forecasting Model and Method Based on Multi-Energy Coupling. Applied Sciences 2020, 10, 584 .

AMA Style

Mingguang Liu, Lingxiang Wang, Guangyu Qin. Power Load Demand Forecasting Model and Method Based on Multi-Energy Coupling. Applied Sciences. 2020; 10 (2):584.

Chicago/Turabian Style

Mingguang Liu; Lingxiang Wang; Guangyu Qin. 2020. "Power Load Demand Forecasting Model and Method Based on Multi-Energy Coupling." Applied Sciences 10, no. 2: 584.

Conference paper
Published: 25 October 2019 in IOP Conference Series: Earth and Environmental Science
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With the deepening of the reform of the electric power system, more and more uncertainties in the competitive electricity market mean more risks. This paper focuses on the risks and countermeasures after openness of the electricity market. Firstly, deeply analysis on the two traditional types transaction of power market which is large concentrated transaction and micro-balance of park electricity market; Secondly, analysis on the risk of transaction participants from three aspects. Finally, based on technology of information and platform, putting forward countermeasures and suggestions based on early warning of big data transaction platform, information value-added service and risk control strategies after openness of the electricity market. Future research orientation upon this analysis is establishment of power market risk evaluation index system and study of risk quantification methods.

ACS Style

Guangyu Qin; D N Liu; J H Liang; Y Pan; L X Wang. Study on the risks and countermeasures after openness of the electricity market. IOP Conference Series: Earth and Environmental Science 2019, 354, 012016 .

AMA Style

Guangyu Qin, D N Liu, J H Liang, Y Pan, L X Wang. Study on the risks and countermeasures after openness of the electricity market. IOP Conference Series: Earth and Environmental Science. 2019; 354 (1):012016.

Chicago/Turabian Style

Guangyu Qin; D N Liu; J H Liang; Y Pan; L X Wang. 2019. "Study on the risks and countermeasures after openness of the electricity market." IOP Conference Series: Earth and Environmental Science 354, no. 1: 012016.

Journal article
Published: 22 October 2019 in Sustainability
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At present, electric cars are being developed rapidly in China as emerging carbon emission reduction vehicles, but their proportion in the Chinese automobile market is still small, and a large number of potential consumers are still holding a wait-and-see attitude. Therefore, for the sake of promoting the further development of electric cars in China, this paper based on the TPB (Theory of Planned Behavior) theoretical research framework, investigates potential consumers in typical areas of Beijing and collects a large amount of data through the design of paper and electronic questionnaires. SEM (Structural Equation Modeling) and MNL (Multinomial Logit Model) models are used to analyze key factors affecting consumers’ purchase intention and actual purchasing behavior. The results show that the positive and negative attributes of consumers’ attitude, subjective norm, and perceived behavior control will have different effects on consumers’ actual purchasing behavior. Finally, based on the analysis results, some reasonable suggestions are proposed for the government and EV (Electric Vehicles) enterprise service providers to increase electric vehicle diffusion.

ACS Style

QingYou Yan; Guangyu Qin; Meijuan Zhang; Bowen Xiao. Research on Real Purchasing Behavior Analysis of Electric Cars in Beijing Based on Structural Equation Modeling and Multinomial Logit Model. Sustainability 2019, 11, 5870 .

AMA Style

QingYou Yan, Guangyu Qin, Meijuan Zhang, Bowen Xiao. Research on Real Purchasing Behavior Analysis of Electric Cars in Beijing Based on Structural Equation Modeling and Multinomial Logit Model. Sustainability. 2019; 11 (20):5870.

Chicago/Turabian Style

QingYou Yan; Guangyu Qin; Meijuan Zhang; Bowen Xiao. 2019. "Research on Real Purchasing Behavior Analysis of Electric Cars in Beijing Based on Structural Equation Modeling and Multinomial Logit Model." Sustainability 11, no. 20: 5870.

Journal article
Published: 09 September 2019 in Journal of Intelligent & Fuzzy Systems
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ACS Style

Dunnan Liu; Yugui Gu; Ruixing Yang; Guangyu Qin; Xiaotong Li; Jiangyan Liu; Yongquan Chen. Models for economic benefit evaluation of investment project of electric power enterprise with triangular fuzzy information. Journal of Intelligent & Fuzzy Systems 2019, 37, 1615 -1620.

AMA Style

Dunnan Liu, Yugui Gu, Ruixing Yang, Guangyu Qin, Xiaotong Li, Jiangyan Liu, Yongquan Chen. Models for economic benefit evaluation of investment project of electric power enterprise with triangular fuzzy information. Journal of Intelligent & Fuzzy Systems. 2019; 37 (2):1615-1620.

Chicago/Turabian Style

Dunnan Liu; Yugui Gu; Ruixing Yang; Guangyu Qin; Xiaotong Li; Jiangyan Liu; Yongquan Chen. 2019. "Models for economic benefit evaluation of investment project of electric power enterprise with triangular fuzzy information." Journal of Intelligent & Fuzzy Systems 37, no. 2: 1615-1620.