scholarly journals Multi-Time Scale Optimization Scheduling Strategy for Combined Heat and Power System Based on Scenario Method

Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1599
Author(s):  
Yunhai Zhou ◽  
Shengkai Guo ◽  
Fei Xu ◽  
Dai Cui ◽  
Weichun Ge ◽  
...  
Keyword(s):  
Power System ◽  
Wind Power ◽  
Time Scale ◽  
Heat Storage ◽  
Combined Heat And Power ◽  
Storage Device ◽  
Power Fluctuation ◽  
Scheduling Strategy ◽  
Scenario Method ◽  
Optimization Scheduling

The wind–heat conflict and wind power uncertainty are the main factors leading to the phenomenon of wind curtailment during the heating period in the northern region of China. In this paper, a multi-time scale optimal scheduling strategy for combined heat and power system is proposed. Considering the temporal dependence of wind power fluctuation, the intra-day wind power scenario generation method is put forward, and both day-ahead and intra-day optimization scheduling models based on the scenario method are established to maximize the system’s revenue. The case analyzes the impacts of the initial heat storage capacity of a heat storage device and different scheduling strategies on system revenue. It is verified that the scheduling strategy can better adapt to wind power uncertainty and improve the absorption capacity of wind power, while ensuring the safety and economical efficiency of system operation.

scholarly journals A New Wind Power Accommodation Strategy for Combined Heat and Power System Based on Bi-Directional Conversion

Energies ◽  
2019 ◽  
Vol 12 (13) ◽  
pp. 2458 ◽  
Author(s):  
Yanhong Luo ◽  
Zhenxing Yin ◽  
Dongsheng Yang ◽  
Bowen Zhou
Keyword(s):  
Wind Power ◽  
Thermal Energy ◽  
Northeast China ◽  
Large Scale ◽  
Fossil Fuels ◽  
Electrical Power ◽  
Combined Heat And Power ◽  
Storage Device ◽  
Reduce Emissions ◽  
Power To Gas

The extensive use of wind power can not only reduce dependence on fossil fuels, but also reduce emissions of polluted gases. However, large-scale wind power curtailments often occur in northeast China during the heat supply season, due to the fact that most of electrical demand is covered by the electrical power of the combined heat and power (CHP) during the off-peak hours. At present, for northeast China with heating demand, most of the research only focuses on how to accommodate more wind power on the spot by using one-directional conversion of the electric and thermal energy. But it is still difficult to realize the bi-directional conversion between the electro-gas or electro-thermal energy. In this paper, a combined electro-gas bi-directional conversion system (CEGBCS) is established by adding the power to gas (P2G), fuel cell and heat storage device in CHP system. This CEGBCS can not only realize bi-directional conversion of the electricity and gas, but also decouple the two operation modes of CHP unit, which greatly improve the ability of system to accommodate additional wind power. Finally, the effectiveness of the proposed CEGBCS is verified by comparing with two traditional methods.

Research on Wind Power Fluctuation and its Impacts on Power System Frequency

2013 ◽  
Vol 291-294 ◽  
pp. 407-414 ◽  
Author(s):  
Guo Peng Zhou ◽  
Fu Feng Miao ◽  
Xi Sheng Tang ◽  
Tao Wu ◽  
Shan Ying Li ◽  
...  
Keyword(s):  
Power System ◽  
Wind Power ◽  
Large Scale ◽  
Wind Farms ◽  
Frequency Stability ◽  
Frequency Deviation ◽  
Intrinsic Mode Functions ◽  
Power Fluctuation ◽  
System Frequency ◽  
The Impact

The output power of wind farms has significant randomness and variability, which results in adverse impacts on power system frequency stability. This paper extracts wind power fluctuation feature with the HHT (Hilbert-Huang Transform) method. Firstly, the original wind power data was decomposed into several IMFs (Intrinsic Mode Functions) and a tendency component by using the EMD (Empirical Mode Decomposition) method. Secondly, the instantaneous frequency of each IMF was calculated. On this basis, taking a WSCC 9-bus power system as benchmark, the impact on power system frequency caused by wind power fluctuation was simulated in a real-time simulation platform, and the key component which results in the frequency deviation was found. The simulation results validate the wind power fluctuation impacts on frequency deviation, underlying the following study on power system frequency stability under the situation of large-scale intermittent generation access into the grid.

scholarly journals Multi-Time Scale Rolling Economic Dispatch for Wind/Storage Power System Based on Forecast Error Feature Extraction

Energies ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 2124 ◽  
Author(s):  
Li Han ◽  
Rongchang Zhang ◽  
Xuesong Wang ◽  
Yu Dong
Keyword(s):  
Power System ◽  
Real Time ◽  
Wind Power ◽  
Power Unit ◽  
Time Scale ◽  
Forecast Error ◽  
Thermal Power ◽  
Time Error ◽  
The Real ◽  
The Impact

This paper looks at the ability to cope with the uncertainty of wind power and reduce the impact of wind power forecast error (WPFE) on the operation and dispatch of power system. Therefore, several factors which are related to WPFE will be studied. By statistical analysis of the historical data, an indicator of real-time error based on these factors is obtained to estimate WPFE. Based on the real-time estimation of WPFE, a multi-time scale rolling dispatch model for wind/storage power system is established. In the real-time error compensation section of this model, the previous dispatch plan of thermal power unit is revised according to the estimation of WPFE. As the regulating capacity of thermal power unit within a short time period is limited, the estimation of WPFE is further compensated by using battery energy storage system. This can not only decrease the risk caused by the wind power uncertainty and lessen wind spillage, but also reduce the total cost. Thereby providing a new method to describe and model wind power uncertainty, and providing economic, safe and energy-saving dispatch plan for power system. The analysis in case study verifies the effectiveness of the proposed model.

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