The Optimization Model of Wind Power and Thermal Power Jointly Run under the TOU Price

2013 ◽  
Vol 772 ◽  
pp. 705-710
Author(s):  
Li Wei Ju ◽  
Zhong Fu Tan ◽  
He Yin ◽  
Zhi Hong Chen
Keyword(s):  
Wind Power ◽  
Optimization Model ◽  
Unit Commitment ◽  
Thermal Power ◽  
Peak Load ◽  
Electricity Demand ◽  
Environmental Benefits ◽  
Power Company ◽  
The Cost ◽  
Pollution Emissions

In order to be able to absorb the abandoned wind, increasing wind-connect amount, the paper study the way of wind power, thermal power joint run and puts forward wind power, thermal power joint run optimization model based on the energy-saving generation dispatching way under the environment of TOU price and the target of minimizing the cost of coal-fired cost, unit commitment and pollution emissions. The numerical example finds, the TOU price can realize the goal of peak load shifting, increasing the electricity demand in the low load and reducing electricity demand in the peak load. The model can increase the amount of wind-connect grid, absorb the abandoned wind, reduce the use of coal-fired units under the environment, increase the average electricity sales price and profit of Power Company. Therefore, the model has significant economical environmental benefits

scholarly journals Interval Optimization-Based Unit Commitment for Deep Peak Regulation of Thermal Units

Energies ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 922 ◽  
Author(s):  
Yinping Yang ◽  
Chao Qin ◽  
Yuan Zeng ◽  
Chengshan Wang
Keyword(s):  
Wind Power ◽  
Unit Commitment ◽  
Cost Model ◽  
Thermal Power ◽  
Interval Optimization ◽  
Power Prediction ◽  
Nsga Ii ◽  
Power Cost ◽  
Wind Power Prediction ◽  
The Cost

The deep peak regulation of thermal units is an important measure for coping with significant wind power penetration. In this paper, based on interval optimization, a novel multi-objective unit commitment method is proposed considering the deep peak regulation of thermal units. In the proposed method, a thermal power cost model was developed to accurately determine the economic performance of three different peak regulation scenarios, particularly of the deep peak regulation scenario. The midpoint and width of the cost interval are simultaneously considered in the optimization process. The non-dominated sorting GA-II (NSGA-II) algorithm was incorporated into the model for a coordinated control of the midpoint and width of the obtained cost interval for further optimization. Considering that significant wind penetration results in greater nodal variations, the affine arithmetic was employed to solve nodal uncertainties, so that all system variations can be addressed. The method proposed in this paper was validated by a modified IEEE-39 bus system. The results showed that it serves as a useful tool for power dispatchers to obtain robust and economic solutions at different wind power prediction accuracies.

Research on the Unit Commitment of Thermal Power Plant Based on Genetic Algorithm

2013 ◽  
Vol 416-417 ◽  
pp. 2110-2113
Author(s):  
Xing Liu
Keyword(s):  
Genetic Algorithm ◽  
Power Plant ◽  
Power Plants ◽  
Unit Commitment ◽  
Thermal Power ◽  
Peak Load ◽  
Thermal Power Plants ◽  
Calculation Methods ◽  
Fuel Loss ◽  
Load Regulation

This paper, focusing on the practical moving condition of the thermal power plants, studied in detail that how to did the curve fitting according to the units data collected from Tianjin Dagang Power Plant; studied the each fuel loss in the process of start-stop the units and their calculation methods; and put forward that fuel consumption and life expenditure while starting and stopping the units should be considered when using peak-load regulation; worked out the GA program and proved GAs accuracy and superiority through the calculation examples, and showed that GA had great practical and research meaning.

scholarly journals Integrated Renewable Energy System based on IREOM Model and Spatial–Temporal Series for Isolated Rural Areas in the Region of Valparaiso, Chile

Energies ◽  
2019 ◽  
Vol 12 (6) ◽  
pp. 1110 ◽  
Author(s):  
Yunesky Masip ◽  
Anibal Gutierrez ◽  
Joel Morales ◽  
Antonio Campo ◽  
Meyli Valín
Keyword(s):  
Renewable Energy ◽  
Wind Power ◽  
Rural Areas ◽  
Thermal Power ◽  
Energy System ◽  
Renewable Energy Resources ◽  
Energy Potential ◽  
Electricity Grid ◽  
Renewable Energy System ◽  
The Cost

Providing energy to areas isolated from the electricity grid through the use of a smart integrated renewable energy system (SIRES) is proposed in this study for Valparaiso, Chile. The study analyzes the process of identifying the appropriate size of a SIRES considering technical and economic factors. An optimization model proposed in the literature was modified, and a subsequent spatial–temporal analysis of the different variables was conducted. The model comprises locally available renewable energy resources, such as biomass, biogas, wind power, solar photovoltaic, and thermal power. Furthermore, it was used to determine the energy potential of each of the isolated areas, identifying those areas in which the SIRES could be implemented as a sustainable solution. The design simulates the cost of the initial investment and energy generation in the chosen areas. The study also includes the selection of different system components and the use of the general model to determine the optimal combination of energy subsystems for isolated areas with the aim of minimizing the cost of energy generations. Finally, an economic evaluation showed that the use of a SIRES based mainly on solar energy supported by biomass, biogas, and mini-wind power costs approximately three times less than extending the electricity grid network.

scholarly journals Unit Commitment Comprehensive Optimal Model Considering the Cost of Wind Power Curtailment and Deep Peak Regulation of Thermal Unit

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 71318-71325 ◽  
Author(s):  
Bin Yang ◽  
Xiangyang Cao ◽  
Zhenhua Cai ◽  
Tongguang Yang ◽  
Dawei Chen ◽  
...  
Keyword(s):  
Wind Power ◽  
Unit Commitment ◽  
Thermal Unit ◽  
Optimal Model ◽  
The Cost

scholarly journals Unit Commitment Accommodating Large Scale Green Power

2019 ◽  
Vol 9 (8) ◽  
pp. 1611 ◽  
Author(s):  
Yuntao Ju ◽  
Jiankai Wang ◽  
Fuchao Ge ◽  
Yi Lin ◽  
Mingyu Dong ◽  
...  
Keyword(s):  
Wind Power ◽  
Nuclear Power ◽  
Large Scale ◽  
Unit Commitment ◽  
Thermal Power ◽  
Clean Energy ◽  
Reserve Capacity ◽  
Spinning Reserve ◽  
Peak Shaving ◽  
Generation Unit

As more clean energy sources contribute to the electrical grid, the stress on generation scheduling for peak-shaving increases. This is a concern in several provinces of China that have many nuclear power plants, such as Guangdong and Fujian. Studies on the unit commitment (UC) problem involving the characteristics of both wind and nuclear generation are urgently needed. This paper first describes a model of nuclear power and wind power for the UC problem, and then establishes an objective function for the total cost of nuclear and thermal power units, including the cost of fuel, start-stop and peak-shaving. The operating constraints of multiple generation unit types, the security constraints of the transmission line, and the influence of non-gauss wind power uncertainty on the spinning reserve capacity of the system are considered. Meanwhile, a model of an energy storage system (ESS) is introduced to smooth the wind power uncertainty. Due to the prediction error of wind power, the spinning reserve capacity of the system will be affected by the uncertainty. Over-provisioning of spinning reserve capacity is avoided by introducing chance constraints. This is followed by the design of a UC model applied to different power sources, such as nuclear power, thermal power, uncertain wind power, and ESS. Finally, the feasibility of the UC model in the scheduling of a multi-type generation unit is verified by the modified IEEE RTS 24-bus system accommodating large scale green generation units.

Correlations Between Geographically Dispersed Concentrating Solar Power and Demand in the United States

2010 ◽  
Author(s):  
Matthew Mowers ◽  
Chris Helm ◽  
Nate Blair ◽  
Walter Short
Keyword(s):  
Wind Power ◽  
Solar Power ◽  
Thermal Power ◽  
The United States ◽  
Electricity Demand ◽  
Geographically Dispersed ◽  
Renewable Power ◽  
Hourly Data ◽  
High Renewable Penetration ◽  
Utility Scale

Correlations between the electricity generated by concentrating solar thermal power (CSP) plants, as well as cross-correlations between CSP, wind power and electricity demand, have significant impacts on decisions for how much and where to build utility-scale CSP capacity, the optimal amount of thermal storage in the CSP plants, reserve capacity needed to back-up the system, as well as the expected levels of curtailed renewable power. Accurately estimating these correlations is vital to performing detailed analyses of high renewable penetration scenarios. This study quantifies the degree of correlation between geographically dispersed CSP, as well as the correlation between CSP and wind power, and CSP and electricity demand in 356 discrete regions in the contiguous US. Correlations are calculated using hourly data on an annual basis. Maps of the correlations will be presented to illustrate the degree of correlation between solar power and the demand it is serving, as well as the synergies between the negatively-correlated wind power and solar power serving the same region.

scholarly journals Wind Integrated Thermal Unit Commitment Solution Using Grey Wolf Optimizer

2017 ◽  
Vol 7 (5) ◽  
pp. 2309
Author(s):  
S. Siva Sakthi ◽  
R.K. Santhi ◽  
N. Murali Krishnan ◽  
S. Ganesan ◽  
S. Subramanian
Keyword(s):  
Power System ◽  
Wind Power ◽  
Unit Commitment ◽  
Renewable Energy Sources ◽  
Thermal Power ◽  
Energy Sources ◽  
Grey Wolf Optimizer ◽  
Grey Wolf ◽  
Thermal Unit ◽  
Solution Quality

The augment of ecological shield and the progressive exhaustion of traditional fossil energy sources have increased the interests in integrating renewable energy sources into existing power system. Wind power is becoming worldwide a significant component of the power generation portfolio. Profuse literature have been reported for the thermal Unit Commitment (UC) solution. In this work, the UC problem has been formulated by integrating wind power generators along with thermal power system. The Wind Generator Integrated UC (WGIUC) problem is more complex in nature, that necessitates a promising optimization tool. Hence, the modern bio-inspired algorithm namely, Grey Wolf Optimization (GWO) algorithm has been chosen as the main optimization tool and real coded scheme has been incorporated to handle the operational constraints. The standard test systems are used to validate the potential of the GWO algorithm. Moreover, the ramp rate limits are also included in the mathematical WGIUC formulation. The simulation results prove that the intended algorithm has the capability of obtaining economical resolutions with good solution quality.

scholarly journals Effective Cluster Model of Thermal Power Company Management

2018 ◽  
Vol 7 (3.2) ◽  
pp. 65
Author(s):  
Vira Chevhanova ◽  
Kseniia Chichulina ◽  
Vitaliya Skryl
Keyword(s):  
Thermal Energy ◽  
Cluster Formation ◽  
Thermal Power ◽  
Economic Effect ◽  
Influence Factors ◽  
Repair Work ◽  
Power Company ◽  
Analysis And Synthesis ◽  
The Cost ◽  
The Impact

The aim of this study is to determine the need for cluster formations; to identify the influence factors on the creation of a cluster of thermal power companies in Poltava region. The method of evaluating the efficiency of formation of this cluster has been developed.The methodological framework of this research is general scientific dialectical method of cognition, in which the research object is studied as a dynamic system in the process of its development. The formation of the main directions of thermal power company development was carried out on the basis of dialectical, historical and systematic methods. In the process of studying and generalization of scientific and practical development methods of comparison, analysis and synthesis, induction and deduction were applied. Also the study is based on regulatory and economic instruments, economical studies and studies of scientific research institutions.As a result of the study the main participants of the cluster formation were identified. So it may be comprised of the members of the cluster, generating thermal energy, the thermal energy consumers and the region where the cluster of thermal power companies will be formed. According to the participants of cluster associations the factors of influence on economic and social effect from implementation of the cluster thermal power companies in the Poltava region were formed. We determined that to reduce the rate for thermal energy it is necessary to conduct a number of activities. The application of the proposed measures will significantly reduce the services cost of thermal power companies. The cost of thermal energy and the distribution among the participants of cluster associations were calculated on the example of Poltava region utility production enterprise of heat economy "Poltavateploenergo". The participants are heat producers, transport companies, distribution and heat supply companies, repair work companies, construction work enterprises. It is established that the overall effect of cluster members has both quantitative and qualitative nature. The impact on consumers is qualitative. It is based on the fact that the tariff for consumers remained unchanged in the medium term (five years). The essence of economic effect is in the quality and timeliness of services thermal management. The overall effect of its work influences all members. It occurs when there is the formation and implementation of cluster thermal power companies.But in addition to the advantages of cluster associations its major problems were presented in the work. Among them there are the following problems: the lack of informativeness of executive authorities and business representatives in the application of the cluster approach; the lack of public policy to ensure the systematic approach and organization of interaction between different levels of executive authorities in the implementation of cluster projects; lack of institutional and financial support to cluster initiatives; lack of trained personnel in the organizational aspects of cluster technologies; the lack of effective methodological base for the application of cluster technologies. Scientific novelty of received results is the development and calculation of economic effect from the formation of a cluster of thermal power companies both at the regional level and at the level of the enterprise and the consumer.  

Sign in / Sign up

Export Citation Format

Share Document