Day-Ahead Robust Economic Dispatch Considering Renewable Energy and Concentrated Solar Power Plants

Bai, Jiawen; Ding, Tao; Wang, Zhe; Chen, Jianhua

doi:10.3390/en12203832

Cited by 19 publications

(11 citation statements)

References 43 publications

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“…Among so many kinds of new energy, solar energy is the most widely combined with traditional CCHP systems [25]. Besides, parabolic-trough-solar-thermal power generation has more unique advantages than other power generation [26,27].…”

Section: Nomenclature C Anmentioning

confidence: 99%

Operation Strategy Analysis and Configuration Optimization of Solar CCHP System

Fan¹,

Shi²,

Sun³

et al. 2021

Energy Engineering

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This paper proposed a new type of combined cooling heating and power (CCHP) system, including the parabolic trough solar thermal (PTST) power generation and gas turbine power generation. The thermal energy storage subsystem in the PTST unit provides both thermal energy and electrical energy. Based on the life cycle method, the configuration optimization under eight operation strategies is studied with the economy, energy, and environment indicators. The eight operation strategies include FEL, FEL-EC, FEL-TES, FEL-TES&EC, FTL, FTL-EC, FTL-TES, and FTL-TES&EC. The feasibility of each strategy is verified by taking a residential building cluster as an example. The indicators under the optimal configuration of each strategy are compared with that of the separate production (SP) system. The results showed that the PTST-CCHP system improves the environment and energy performance by changing the ratio of thermal energy and electric energy. The environment and energy indicators of FEL-TES&EC are superior to those of FTL-TES&EC in summer, and the results are just the opposite in winter. The initial annual investment of the PTST-CCHP system is higher than that of the SP system, but its economic performance is better than that of the SP system with the increase of life-cycle.

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Section: Nomenclature C Anmentioning

confidence: 99%

Operation Strategy Analysis and Configuration Optimization of Solar CCHP System

Fan¹,

Shi²,

Sun³

et al. 2021

Energy Engineering

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“…The impact of solar energy on economic growth is addressed in two recent studies [36,37], in which the authors proved that there was a positive and long-term impact of the solar energy on the economic growth. Geothermal energy was analyzed in a recent study [38], in which the authors confirm that investments in geothermal energy production can have a long-term impact on economic growth.…”

Section: Literature Review and Hypotheses Developmentmentioning

confidence: 99%

Analyzing the Impact of the Renewable Energy Sources on Economic Growth at the EU Level Using an ARDL Model

Bușu

2020

Mathematics

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Energy is one of the most important drivers of economic growth, but as the population is increasing, in normal circumstances, in all countries of the world, there is a demand for energy produced from conventional resources. Increasing prices of conventional energy and the negative impact on the environment are two of the main reasons for switching to renewable energy sources (RESs). The aim of the paper is to quantify the impact of the RESs, by type, on the sustainable economic growth at the European Union (EU) level. The research was performed for all 28 EU member states, for a time frame from 2004 to 2017, through a panel autoregressive distributed lag (ARDL) approach and causality analysis. Furthermore, Hausman test was performed on the regression model. By estimating the panel data regression model with random effects, we reveal through our results that RESs, namely wind, solar, biomass, geothermal, and hydropower energy, have a positive influence on economic growth at EU level. Moreover, biomass has the highest impact on economic growth among all RES. In fact, a 1% increase in biomass primary production would impact the economic growth by 0.15%. Based on econometric analysis, our findings suggest that public policies at the EU level should be focused on investment in RESs.

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“…In response to the abovementioned problems, Wu et al [6] adopted a distributed solution method to represent wind power from the perspective of wind power generation and established an economic dispatching model, considering over-dispatching and under-dispatching of wind power. The wind speed scenario is adopted in [7]; the wind power scenario is obtained through the wind speed-wind power conversion curve, and an electricity market equilibrium model is established, considering the penalty of wind power bidding deviation. Considering the uncertainty of renewable energy, another study proposed a robust economic scheduling method for centralized solar power plants using energy storage systems (ESSs) combined with automatic generation control (AGC) in the day-ahead auxiliary power trading market [8].…”

Section: Introductionmentioning

confidence: 99%

A Day-Ahead Economic Dispatch Scheme for Transmission System With High Penetration of Renewable Energy

Shan

Xue

2022

IEEE Access

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The great uncertainty caused by the high penetration of renewable energy brings severe challenges to the economic dispatch of transmission systems. In this study, a day-ahead economic dispatch model is proposed. The model is based on the coordination framework of transmission and distribution, and it fully considers the response potential of the distribution network. The scenario generation method based on the Copula function is used to describe the uncertainty of the energy output of renewable energy sources such as wind power, and then, the response potential of the distribution network is analyzed. A day-ahead economic scheduling framework for transmission and distribution coordination is proposed, which is solved by a deep reinforcement learning algorithm. Finally, the effectiveness of the proposed method is verified through application to the IEEE 6-bus transmission network and the IEEE 7-bus distribution network. INDEX TERMSThe high penetration of renewable energy; a day-ahead economic dispatch model, transmission and distribution; response potential; deep reinforcement learning

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Day-Ahead Robust Economic Dispatch Considering Renewable Energy and Concentrated Solar Power Plants

Cited by 19 publications

References 43 publications

Operation Strategy Analysis and Configuration Optimization of Solar CCHP System

Operation Strategy Analysis and Configuration Optimization of Solar CCHP System

Analyzing the Impact of the Renewable Energy Sources on Economic Growth at the EU Level Using an ARDL Model

A Day-Ahead Economic Dispatch Scheme for Transmission System With High Penetration of Renewable Energy

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