A two-stage robust operation approach for combined cooling, heat and power systems

2017 ◽  
Author(s):  
Cuo Zhang ◽  
ZhaoYang Dong ◽  
Yan Xu ◽  
Yumin Chen
Keyword(s):  
Power Systems ◽  
Two Stage ◽  
Combined Cooling

scholarly journals A Two-Stage Industrial Load Forecasting Scheme for Day-Ahead Combined Cooling, Heating and Power Scheduling

Energies ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 443 ◽  
Author(s):  
Sungwoo Park ◽  
Jihoon Moon ◽  
Seungwon Jung ◽  
Seungmin Rho ◽  
Sung Wook Baik ◽  
...  
Keyword(s):  
Power Generation ◽  
Power Systems ◽  
Load Forecasting ◽  
Gradient Boosting ◽  
Generation Process ◽  
Two Stage ◽  
Power Scheduling ◽  
Extreme Gradient Boosting ◽  
Random Forest Models ◽  
Combined Cooling

Smart grid systems, which have gained much attention due to its ability to reduce operation and management costs of power systems, consist of diverse components including energy storage, renewable energy, and combined cooling, heating and power (CCHP) systems. The CCHP has been investigated to reduce energy costs by using the thermal energy generated during the power generation process. For efficient utilization of CCHP and numerous power generation systems, accurate short-term load forecasting (STLF) is necessary. So far, even though many single algorithm-based STLF models have been proposed, they showed limited success in terms of applicability and coverage. This problem can be alleviated by combining such single algorithm-based models in ways that take advantage of their strengths. In this paper, we propose a novel two-stage STLF scheme; extreme gradient boosting and random forest models are executed in the first stage, and deep neural networks are executed in the second stage to combine them. To show the effectiveness of our proposed scheme, we compare our model with other popular single algorithm-based forecasting models and then show how much electric charges can be saved by operating CCHP based on the schedules made by the economic analysis on the predicted electric loads.

scholarly journals Environmentally Constrained Optimal Dispatch Method for Combined Cooling, Heating, and Power Systems Using Two-Stage Optimization

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4135
Author(s):  
Haesung Jo ◽  
Jaemin Park ◽  
Insu Kim
Keyword(s):  
Power Generation ◽  
Energy Efficiency ◽  
Power Systems ◽  
Cost Savings ◽  
Two Stage ◽  
Energy Mix ◽  
Optimal Dispatch ◽  
Study Results ◽  
Combined Cooling ◽  
The Impact

The reliance on coal-fired power generation has gradually reduced with the growing interest in the environment and safety, and the environmental effects of power generation are now being considered. However, it can be difficult to provide stable power to end-users while minimizing environmental pollution by replacing coal-fired systems with combined cooling, heat, and power (CCHP) systems that use natural gas, because CCHP systems have various power output vulnerabilities. Therefore, purchasing power from external electric grids is essential in areas where CCHP systems are built; hence, optimal CCHP controls should also consider energy purchased from external grids. This study proposes a two-stage algorithm to optimally control CCHP systems. In Stage One, the optimal energy mix using the Lagrange multiplier method for state-wide grids from which CCHP systems purchase deficient electricity was calculated. In Stage Two, the purchased volumes from these grids were used as inputs to the proposed optimization algorithm to optimize CCHP systems suitable for metropolitan areas. We used case studies to identify the accurate energy efficiency, costs, and minimal emissions. We chose the Atlanta area to analyze the CCHP system’s impact on energy efficiency, cost variation, and emission savings. Then, we calculated an energy mix suitable for the region for each simulation period. The case study results confirm that deploying an optimized CCHP system can reduce purchased volumes from the grid while reducing total emissions. We also analyzed the impact of the CCHP system on emissions and cost savings.

Impacts of equipment off-design characteristics on the optimal design and operation of combined cooling, heating and power systems

2013 ◽  
Vol 48 ◽  
pp. 40-47 ◽  
Author(s):  
Zhe Zhou ◽  
Pei Liu ◽  
Zheng Li ◽  
Efstratios N. Pistikopoulos ◽  
Michael C. Georgiadis
Keyword(s):  
Optimal Design ◽  
Power Systems ◽  
Design Characteristics ◽  
Combined Cooling

scholarly journals Reliability and Maintenance Prioritization Analysis of Combined Cooling, Heating and Power Systems

Energies ◽  
2018 ◽  
Vol 11 (6) ◽  
pp. 1519 ◽  
Author(s):  
Jinming Jiang ◽  
Xindong Wei ◽  
Weijun Gao ◽  
Soichiro Kuroki ◽  
Zhonghui Liu
Keyword(s):  
Power Systems ◽  
Combined Cooling

Combined Cooling, Heating, and Power Systems

2017 ◽  
Author(s):  
Yang Shi ◽  
Mingxi Liu ◽  
Fang Fang
Keyword(s):  
Power Systems ◽  
Combined Cooling

scholarly journals Solar combined cooling, heating and power systems based on hybrid PVT, PV or solar-thermal collectors for building applications

2019 ◽  
Vol 143 ◽  
pp. 637-647 ◽  
Author(s):  
María Herrando ◽  
Antonio M. Pantaleo ◽  
Kai Wang ◽  
Christos N. Markides
Keyword(s):  
Power Systems ◽  
Solar Thermal ◽  
Solar Thermal Collectors ◽  
Combined Cooling
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