Economic Dispatch of the Low-Carbon Green Certificate with Wind Farms Based on Fuzzy Chance Constraints

Wang, Xiuyun; Wang, Jian; Tian, Biyuan; Cui, Yang; Zhao, Yu

doi:10.3390/en11040943

Cited by 7 publications

(5 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Most articles on economic dispatch consider start-stop constraints, and this paper also considers start-stop constraints. This is not described here, but is detailed in the literature [3].…”

Section: Output Constraint and Climbing Rate Constraint Of Conventimentioning

confidence: 99%

“…The drawback is that it does not take into account the price of green certificates changes in real time with supply and demand. In this paper, based on the actual transaction data, the green certificate transaction curve is drawn, and through multiple documents, the green certificate transaction formula is formulated under the conditions of satisfying the supply and demand relationship and the government punishment mechanism [3].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Wind Power Consumption Research Based on Green Economic Indicators

et al. 2018

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Output Constraint and Climbing Rate Constraint Of Conventimentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Wind Power Consumption Research Based on Green Economic Indicators

et al. 2018

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, due to the impact of environmental uncertainty, renewable energy cannot be viewed in isolation. For example, wind [7,8] and solar [9,10] technologies based on renewable energy are affected by uncertain loads, and the specific power output depends on environmental conditions. The application of pumped storage unit [11,12] absorbs the excess electricity of wind and photovoltaic power in the form of water storage, so as to release the output at the peak of price, so as to obtain higher income to offset the higher upfront investment cost.…”

Section: Introductionmentioning

confidence: 99%

Control Strategy of the Pumped Storage Unit to Deal with the Fluctuation of Wind and Photovoltaic Power in Microgrid

Shao

Jiang

et al. 2020

Energies

View full text Add to dashboard Cite

With the development and utilization of distributed energy and microgrid, distributed energy storage has become a new development trend. However, small pumped storage units have the advantages of flexible engineering location, low investment, quick effect, low requirements on transmission lines, and a better solution to the peak load demand of the system. Therefore, it is more and more used in the microgrid, and it conducts joint dispatching with wind power, photovoltaic, and other clean energies. To solve the capacity problem of small pumped storage units within the microgrid, a new control strategy is proposed in this paper. Two pumped storage units are used for joint operations. Taking the smoothed combined output power of wind power, photovoltaic power, and pumped storage power as the target, and considering the limitations of transmission lines, the constraints of wind power and photovoltaic power fields as well as the restrictions of pumped storage power units and corresponding reservoirs are taken into account. In this paper, social particle swarm optimization (SPSO) with improved weight is used to calculate and solve the model. The effectiveness of the new control strategy is verified.

show abstract

“…Therefore, a green certificate trading mechanism is constructed to guarantee the implementation of the RPS policy [27][28]. External environmental benefits of renewable energy power are reflected as a green certificate corresponding to 1 MW.h of renewable energy power, which can be traded in the green certificate market [29][30][31]. The RPS policy and the green certificate trading mechanism can effectively promote the development of the renewable energy power industry through the combination of the market mechanism and administrative regulation [32][33][34], a combination which, based on marketization, helps to create space for the continuous growth of renewable energy power.…”

Section: Introductionmentioning

confidence: 99%

Can a Dynamic Reward–Penalty Mechanism Help the Implementation of Renewable Portfolio Standards under Information Asymmetry?

Xing

2020

Symmetry

View full text Add to dashboard Cite

To further promote the low-carbon and sustainable development of China’s power industry, the Chinese government is vigorously introducing competition into power sales market. Simultaneously, On November 15, 2018, the National Development and Reform Commission issued the “Notice on Implementing the Renewable Portfolio Standards (Draft)” to propose the implementation of power sales side Renewable Portfolio Standards (RPS), which cannot be realized without an effective government regulation mechanism. However, information asymmetry and the limited rationality of the regulatory agencies and private power sales companies in the regulation process make the regulatory effect uncertain to the detriment of a sustainable regulation of the power industry. Thus, it is necessary to optimize the regulation mechanism of the RPS policy in China. We considered the competitive relationship between integrated power sales companies and independent power sales companies, and established an evolutionary game model based on a limited rationality. We also analyzed the implementation effects of the static reward penalty mechanism and dynamic reward penalty mechanism, respectively. The system dynamics (SD) simulation results showed that under the static reward penalty mechanism, there is no evolutionary stable equilibrium solution, and there will be volatility that exists in the evolution process. However, the dynamic reward penalty mechanism can effectively solve these problems. What is more, our results implied that governments should formulate appropriate RPS quotas, improve the green certificate trading mechanism, and take into account the market size of power sales while implementing RPS policy.

show abstract

Economic Dispatch of the Low-Carbon Green Certificate with Wind Farms Based on Fuzzy Chance Constraints

Cited by 7 publications

References 29 publications

Wind Power Consumption Research Based on Green Economic Indicators

Wind Power Consumption Research Based on Green Economic Indicators

Control Strategy of the Pumped Storage Unit to Deal with the Fluctuation of Wind and Photovoltaic Power in Microgrid

Can a Dynamic Reward–Penalty Mechanism Help the Implementation of Renewable Portfolio Standards under Information Asymmetry?

Contact Info

Product

Resources

About