A Two-Layer Active Power Optimization and Coordinated Control for Regional Power Grid Partitioning to Promote Distributed Renewable Energy Consumption

With the large-scale development and utilization of renewable energy,industrial flexible loads,as a kind of loadside resource with strong regulation ability,provide new opportunities for the research on renewable energy consumption problem in power systems.This paper proposes a two-layer active power optimization model based on industrial flexible loads for power grid partitioning,aiming at improving the line over-limit problem caused by renewable energy consumption in power grids with high proportion of renewable energy,and achieving the safe,stable and economical operation of power grids.Firstly,according to the evaluation index of renewable energy consumption characteristics of line active power,the power grid is divided into several partitions,and the interzone tie lines are taken as the optimization objects.Then,on the basis of partitioning,a two-layer active power optimization model considering the power constraints of industrial flexible loads is established.The upper-layer model optimizes the planned power of the inter-zone tie lines under the constraint of the minimum peak-valley difference within a day;the lower-layer model optimizes the regional source-load dispatching plan of each resource in each partition under the constraint of theminimumoperation cost of the partition,so as to reduce the line overlimit phenomenon caused by renewable energy consumption and save the electricity cost of industrial flexible loads.Finally,through simulation experiments,it is verified that the proposed model can effectively mobilize industrial flexible loads to participate in power grid operation and improve the economic stability of power grid.

Digital finance and renewable energy consumption:evidence from China

While digital finance and renewable energy consumption(REC)are two timely issues,it remains unclear whether the former affects the latter,especially in developing economies.This paper examines the impact of digital finance on China’s REC between 2011 and 2018 and explores the underlying mechanisms.Results show that digital finance,along with its coverage breadth and usage depth,significantly improved REC in China and that digital finance in the area of credit has had the most significant impact.Additionally,the results show that loan scale and income level are the main mediation variables,through which digital finance affects REC.The findings also suggest that economic growth and technological progress have increased REC in China,while carbon dioxide emissions have had no meaningful effect on this consumption.The results further indicate that policymakers must pay close attention to the role of digital finance when formulating policies on REC.To promote REC and environmental sustainability,developing economies like China should strengthen the breadth and depth of digital finance development,focus on the influence channels of digital finance,and promote economic growth and technological progress.

Energy-growth nexus for‘Renewable Energy Country Attractiveness Index’countries:Evidence from new econometric methods

This study explores the connections between renewable energy consumption(REC),non-renewable energy consumption(NREC),gross fixed capital formation(GFCF),the labor force(LF),and economic growth(GDP)in Renewable Energy Country Attractiveness Index(RECAI)countries for 1991-2016.We quantify the nexus between REC,NREC,and GDP while utilizing a production model framework and including the measures of labor and capital,for suggesting a phase-wise strategy to attain the sustainable development goals.We use robust methodologies including Lagrange Multiplier(LM)panel unit root tests with trend shifts,Westerlund cointegration test,LM bootstrap technique for cointegration with breaks,continuously updated fully modified(CUP-FM)and continuously updated bias-corrected(CUPBC)estimators,Augmented Mean Group(AMG)approach,fully modified ordinary least squares,dynamic ordinary least squares,Canonical Cointegrating Regression(CCR),and panel causality test proposed by Canning&Pedroni.We compute non-parametric time-varying coefficients with fixed effects for seeing the impact of GFCF,LF,REC,and NREC on GDP.Our results press upon policymakers to shift toward clean energy and REC for attaining the environmental goals(SDGs 6,7,13,and 15)and the economic goals(SDGs 1,2,8,and 10).While this shift would help developed economies,which have already attained the economic goals,to progress on the front of environmental goals,it would enable developing countries to progress on both fronts in a balanced manner.

Linking gold prices,fossil fuel costs and energy consumption to assess progress towards sustainable development goals in newly industrialized countries

The continuous rise in global environmental challenges has led to urgency toward establishing a secure framework to achieve sustainable development goals.This study establishes a novel theoretical framework to analyze the role of energy prices,energy consumption,gold prices and economic growth on environmental degradation in newly industrialized economies.To realize sustainable development goals and foster environmental defence,this study utilizes CS-ARDL as the main econometric approach to investigate the asymmetric association between environmental degradation and relevant factors.We also use AMG,CS-DL,Driscoll-Kray and FGLS to enhance the robustness of our findings.Our econometric approach reveals that energy resource prices and renewable energy consumption reduce environmental degradation,while gold prices and fossil energy consumption elevate environmental pollutants.We also confirm the existence of the EKC hypothesis.The findings of our extensive analysis paved the way for a welldesigned environmental policy for NIC economies should focus on renewable energy consumption,green investments,and structural changes.