scholarly journals Multi-Objective Economic Dispatch of Cogeneration Unit with Heat Storage Based on Fuzzy Chance Constraint

Energies ◽  
2018 ◽  
Vol 12 (1) ◽  
pp. 103 ◽  
Author(s):  
Xiuyun Wang ◽  
Junyu Tian ◽  
Rutian Wang ◽  
Jiakai Xu ◽  
Shaoxin Chen ◽  
...  
Keyword(s):  
Wind Power ◽  
Heat Storage ◽  
Thermal Power ◽  
Economic Dispatch ◽  
Operating Cost ◽  
Pollutant Emissions ◽  
Stable Operation ◽  
Economic Costs ◽  
Spinning Reserve ◽  
Multi Objective

With the increasing expansion of wind power, its impact on economic dispatch of power systems cannot be ignored. Adding a heat storage device to a traditional cogeneration unit can break the thermoelectric coupling constraint of the cogeneration unit and meet the economic and stable operation of a power system. In this paper, an economy-environment coordinated scheduling model with the lowest economic cost and the lowest pollutant emissions is constructed. Economic costs include the cost of conventional thermal power generating units, the operating cost of cogeneration units, and the operating cost of wind power. At the same time, green certificate costs are introduced into the economic costs to improve the absorption of wind power. Pollutant emissions include SO2 and NOx emissions from conventional thermal power units and cogeneration units. The randomness and uncertainty of wind power output are fully considered, and the prediction error of wind power is fuzzy treated according to the fuzzy random theory, and the electric power balance and spinning reserve fuzzy opportunity conditions are established, which are converted into the explicit equivalent. The improved multi-objective particle swarm optimization (MOPSO) was used to solve the model. With this method, the validity of the model is verified by taking a system with 10 machines as an example.

scholarly journals Multi-objective optimal power flow in the presence of intermittent renewable energy sources

2018 ◽  
Vol 7 (4) ◽  
pp. 2766 ◽  
Author(s):  
S. Surender Reddy
Keyword(s):  
Wind Power ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Cost Minimization ◽  
Renewable Energy Sources ◽  
Thermal Power ◽  
Wind Farms ◽  
Multi Objective ◽  
Optimal Power ◽  
Generation Cost

This paper solves a multi-objective optimal power flow (MO-OPF) problem in a wind-thermal power system. Here, the power output from the wind energy generator (WEG) is considered as the schedulable, therefore the wind power penetration limits can be determined by the system operator. The stochastic behavior of wind power and wind speed is modeled using the Weibull probability density function. In this paper, three objective functions i.e., total generation cost, transmission losses and voltage stability enhancement index are selected. The total generation cost minimization function includes the cost of power produced by the thermal and WEGs, costs due to over-estimation and the under-estimation of available wind power. Here, the MO-OPF problems are solved using the multi-objective glowworm swarm optimiza-tion (MO-GSO) algorithm. The proposed optimization problem is solved on a modified IEEE 30 bus system with two wind farms located at two different buses in the system.  

Wind Power and Pumped Storage Power Joint Operation Benefits Evaluation Model Based on Life-Cycle Theory

2014 ◽  
Vol 902 ◽  
pp. 453-456
Author(s):  
Lei Sun ◽  
Huan Huan Li ◽  
Pu Yu He ◽  
Zhong Fu Tan
Keyword(s):  
Power Generation ◽  
Life Cycle ◽  
Wind Power ◽  
Evaluation Model ◽  
Thermal Power ◽  
Pollutant Emissions ◽  
Farm Income ◽  
Joint Operation ◽  
Benefits Evaluation ◽  
Pumped Storage

Based on Life-cycle analysis theory, this paper established a wind, thermal and pumped storage power joint operation benefits evaluation model. The life cycle of energy generation joint operation is divided into four stages, including initial investment, project construction, operation and residual value recovery stages.The participation of hydro power generation can increase the amount of wind power generation and network capacity, and reduce thermal power generation amount.It can reduce abandoned wind, improving wind farm income and reduce coal consumption and pollutant emissions at the same time, and reducing the cost of purchasing electricity of the grid.

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.

scholarly journals Wind Power Consumption Research Based on Green Economic Indicators

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2829 ◽  
Author(s):  
Xiuyun Wang ◽  
Yibing Zhou ◽  
Junyu Tian ◽  
Jian Wang ◽  
Yang Cui
Keyword(s):  
Power Consumption ◽  
Wind Power ◽  
Thermal Power ◽  
Economic Indicator ◽  
Stable Operation ◽  
Chance Constrained Programming ◽  
Prediction Errors ◽  
Low Carbon ◽  
Power Prediction ◽  
Combination Strategy

As a representative form of new energy generation, wind power has effectively alleviated environmental pollution and energy shortages. This paper constructs a green economic indicator to measure the degree of coordinated development of environmental and social benefits. To increase the amount of wind power consumption, an economic dispatch model based on the coordinated operation of cogeneration units and electric boilers was established; we also introduced the green certificate transaction cost, which effectively meets the strategic needs of China’s energy low-carbon transformation top-level system design. Wind power output has instability and volatility, so it puts higher requirements on the stable operation of thermal power units. To solve the stability problem, this paper introduces the output index of the thermal power unit and rationally plans the unit combination strategy, as well as introducing the concept of chance-constrained programming due to the uncertainty of load and wind power in the model. Uncertainty factors are transformed into load forecasting errors and wind power prediction errors for processing. Based on the normal distribution theory, the uncertainty model is transformed into a certain equivalence class model, and the improved disturbance mutated particle swarm optimization algorithm is used to solve the problem. Finally, the validity and feasibility of the proposed model are verified based on the IEEE30 node system.

Design and Implementation of the Medium and Long-Term Time Scale System Frequency Fluctuations Simulation Platform

2013 ◽  
Vol 392 ◽  
pp. 656-659
Author(s):  
Ting Yu ◽  
Zhao Yu Jin ◽  
Ying Yun Sun ◽  
Jing Huai Lin ◽  
Tian Jiao Pu
Keyword(s):  
Mathematical Model ◽  
Wind Power ◽  
Power Plants ◽  
Frequency Control ◽  
Thermal Power ◽  
Clean Energy ◽  
Simulation Software ◽  
Stable Operation ◽  
Simulation Platform ◽  
The Impact

Large-scale wind power integrates in the grid to provide clean energy; however, it has a negative impact on the stable operation of the grid. To analysis the effect of wind power on frequency control, we need the help of simulation software. But, there has no frequency control mathematical model of wind farm in simulation software available for the user to choose. So this paper designs and establishes a frequency simulation platform, which provides the frequency control mathematical model of wind farms, hydroelectric power plants and thermal power plants. It can not only evaluate the impact of wind power fluctuations on frequency control, but also can quantitatively analysis of the system reserve capacity, as well as AGC performance monitoring function.

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