Cross-regional emergency scheduling planning for petroleum based on the supernetwork model

Petroleum, the most important energy source in the world, plays an essential role in securing economic development. If a petroleum shortage happens, it will severely disrupt production and life. Cross-regional emergency scheduling can effectively alleviate a petroleum shortage and further enhance the efficiency of the emergency response. Considering the general lack of focus on cross-regional petroleum dispatching management, we propose a three-layer emergency scheduling network for petroleum based on a supernetwork model that can increase the regional emergency correlation by adding a transfer management process. Then, we compare the total demand for petroleum and the emergency costs considered in the petroleum emergency scheduling supernetwork model（the single-region and the cross-region scenarios）.The result shows that the cross-regional emergency scheduling pattern can effectively enhance the efficiency of the emergency preparations and reduce the emergency costs in most cases. However, when the vulnerabilities in the crossregional link grow or the regional linkage decreases, the effect of single-regional scheduling is better. In addition, the advantages of the cross-regional emergency scheduling network will be strengthened with an increase in its maximum emergency capability. Nonetheless, this advantage will disappear when the petroleum demand in the crisis layer reaches the maximum emergency response capacity. Finally, according to the comparative analysis simulation among scenarios,certain strategic policy recommendations are suggested to improve the petroleum emergency scheduling ability in regions.These recommendations include strengthening the cross-regional coordination mechanism, increasing the modes of petroleum transportation and enhancing the carrying capacity of regional emergency routes.

Utilization of cross-regional interconnector and pumped hydro energy storage for further introduction of solar PV in Japan

The amount of solar PV installed capacity has steadily increased to 44.5 GW at the end of FY2017,since the introduction of the Feed in Tariff(FiT)to Japan in 2012.On the other hand,since the first curtailment of solar PV was conducted on October 13th,2018 in the Kyushu area,the curtailment has been frequently executed including wind power after that.In this study,cross-regional interconnector and pumped hydro energy storage(PHES)are focused on mitigating curtailment.In Japan,there are 9 electric power areas which connected each other by cross-regional interconnectors.According to the historical operation,cross-regional interconnectors were secured as emergency flexible measures,but after the implicit auction was started from October 2018,it is used on merit order.Regarding a PHES in Japan,they have been built with nuclear power plants for several decades.Because the output of nuclear power generation is constant,so the PHES is used to absorb the surplus at nighttime when the demand declines.All nuclear power plants in Japan have been shut down after the accident at the Fukushima Daiichi Nuclear Power Plant following the Great East Japan Earthquake that occurred on March 11th,2011.There are several nuclear power plants that have been restarted(9 reactors,as of August 2019).In this study,the amount of curtailment for solar PV in the Kyushu area is sent to the Chugoku area using the cross-regional interconnector(Kanmon line).Then,the PHES in the Chugoku area is pumping with low price.Because the spot price in the market is low when the curtailment is executed.After that,the PHES is generating at night with high price when the solar PV is not generating.It makes a profit by the deference for the cost of pumping and the revenue of generating by the PHES.As a calculation result,for one week from May 2nd to 8th,2019,a profit becomes 152.2 million JPY(about 1.22 million EUR).For this purpose,it is necessary to raise the operation capacity of the cross-regional interconnector up to the rated capacity with the frequency control function of solar PV instead of the capacity to keep frequency in the event of an accident.This will allow the further introduction of solar PV in Japan.

A Comprehensive Power Flow Approach for Multi-terminal VSC-HVDC System Considering Cross-regional Primary Frequency Responses

For the planning,operation and control of multiterminal voltage source converter(VSC)based high-voltage direct current(HVDC)(VSC-MTDC)systems,an accurate power flow formulation is a key starting point.Conventional power flow formulations assume the constant frequencies for all asynchronous AC systems.Therefore,a new feature about the complex coupling relations between AC frequencies,DC voltages and the exchanged power via VSC stations cannot be characterized if VSC-MTDC systems are required to provide cross-regional frequency responses.To address this issue,this paper proposes a comprehensive frequency-dependent power flow formulation.The proposed approach takes the frequencies of asynchronous AC systems as explicit variables,and investigates the novel bus models of the interlinking buses of VSC stations.The proposed approach accommodates different operation modes and frequency droop strategies of VSC stations,and considers the power losses of VSC stations.The effectiveness and generality of the developed approach are validated by a 6-terminal VSC-HVDC test system.The test system presents the characteristics of the coexistence of numerous VSC operation modes,the absence of slack buses in both AC and DC subsystems,and diversified grid configurations such as point-to-point integration of renewable energy sources and one AC system integrated with multiple VSC stations.

Multi-area Generation-reserve Joint Dispatch Approach Considering Wind Power Cross-regional Accommodation

This paper presents a study on how to accommodate wind power into multiple regions,while simultaneously implementing economic and reliable dispatch for multi-area power system operation.The focus is on quantifying the operational risk brought by wind power uncertainty and at the same time accommodating wind power by coordinating multi-area generation and reserve resources.The reserve requirement of each area is calculated based on two indexes,namely,loss of load probability and wind spillage probability.Then,a generation-reserve cooptimization dispatch model that factors cross-regional wind power accommodation is proposed.The transmission margin and network security constraints of tie-lines are considered to systematically allocate reserve resources for all areas.Finally,optimality condition decomposition is used to decompose the dispatching model to achieve relatively independent regional scheduling,and to get the global optimization result.The reasonableness and effectiveness of the proposed approach is validated by a 6-bus 2-area test system and a 236-bus interconnected system.

Cross-Regional Collective Response Mechanism for Major Epidemic Control and Treatment

It is essential for cross-regional control and treatment of major epidemics to establish a collaborative,efficient,and precise collective response mechanism.Based on the observation of the COVID-19 epidemic,this paper concludes major measures and experience of cross-regional collective response for epidemic control and treatment,compares the difference between localities at home and abroad,and puts forwards major strategies for a cross-regional collective response,hoping to provide policy-making references to improve the modernization level of public health,epidemic prevention,and emergency management in China.

Multiperiod Optimal Allocation of Emergency Resources in Support of Cross-Regional Disaster Sustainable Rescue

Cross-regional allocation is necessary for the rational utilization and optimal allocation of resources.It is also the key to effective and sustainable disaster relief.Existing research,however,generally centers on emergency resource allocation only within territories or regions.This article proposes a multiperiod allocation optimization model for emergency resources based on regional selfrescue and cross-regional collaborative rescue efforts.The model targets the shortest delivery time and lowest allocation costs as its efficiency goals and the maximum coverage rate of resource allocation in the disaster-affected locations as its equity goal.An objective weighting fuzzy algorithm based on two-dimensional Euclidean distance is designed to solve the proposed model.A case study based on the Wenchuan Earthquake of 12 May 2008 was conducted to validate the proposed model.The results indicate that our proposed model allows for optimal,multiperiod cross-regional resource allocation by combining interterritorial and nearby allocation principles.Cross-regional relief makes resource allocation more equitable,minimizes dissatisfaction,and prevents losses.Different decision preferences appear to significantly affect the choice of resource allocation scheme employed,which provides flexibility for decision making in different emergencies.

Analysis on cross-regional scientific research collaboration model

Independent research is being promoted to the level of interdisciplinary and cross-regional scientific research collaboration,but the research on the latter is far less abundant than the former.Through systematic literature analysis,the current research topics on the status quo and performance evaluation of industry-university-research cooperation are revealed.The main methods are statistical analysis and network analysis.

Analysis of radiation diffusion of COVID-19 driven by social attributes

This paper first estimated the infectious capacity of COVID-19 based on the time series evolution data of confirmed cases in multiple countries. Then, a method to infer the cross-regional spread speed of COVID-19 was introduced in this paper, which took the gross domestic product(GDP) of each region as one of the factors that affect the spread speed of COVID-19 and studied the relationship between the GDP and the infection density of each region(China's Mainland, the United States, and EU countries). In addition, the geographic distance between regions was also considered in this method and the effect of geographic distance on the spread speed of COVID-19 was studied. Studies have shown that the probability of mutual infection of these two regions decreases with increasing geographic distance. Therefore, this paper proposed an epidemic disease spread index based on GDP and geographic distance to quantify the spread speed of COVID-19 in a region. The analysis results showed a strong correlation between the epidemic disease spread index in a region and the number of confirmed cases. This finding provides reasonable suggestions for the control of epidemics. Strengthening the control measures in regions with higher epidemic disease spread index can effectively control the spread of epidemics.

Multi-stage online task assignment driven by offline data under spatio-temporal crowdsourcing

In the era of the Internet of Things(IoT),the crowdsourcing process is driven by data collected by devices that interact with each other and with the physical world.As a part of the IoT ecosystem,task assignment has become an important goal of the research community.Existing task assignment algorithms can be categorized as offline(performs better with datasets but struggles to achieve good real-life results)or online(works well with real-life input but is difficult to optimize regarding in-depth assignments).This paper proposes a Cross-regional Online Task(CROT)assignment problem based on the online assignment model.Given the CROT problem,an Online Task Assignment across Regions based on Prediction(OTARP)algorithm is proposed.OTARP is a two-stage graphics-driven bilateral assignment strategy that uses edge cloud and graph embedding to complete task assignments.The first stage uses historical data to make offline predictions,with a graph-driven method for offline bipartite graph matching.The second stage uses a bipartite graph to complete the online task assignment process.This paper proposes accelerating the task assignment process through multiple assignment rounds and optimizing the process by combining offline guidance and online assignment strategies.To encourage crowd workers to complete crowd tasks across regions,an incentive strategy is designed to encourage crowd workers’movement.To avoid the idle problem in the process of crowd worker movement,a drop-by-rider problem is used to help crowd workers accept more crowd tasks,optimize the number of assignments,and increase utility.Finally,through comparison experiments on real datasets,the performance of the proposed algorithm on crowd worker utility value and the matching number is evaluated.

Regulating cost for renewable energy integration in power grids

To address the issue of climate change caused by the use of polluting, non-renewable energy sources, the use of renewable energy has gained momentum worldwide. Consequently, the increased integration of renewable energy sources into power grids has necessitated the inclusion of flexible capacities in the power systems to solve problems of intermittent and fluctuating characteristics associated with renewable generation outputs. In this work, we study the regulating cost of a power system with high renewable penetration using an improved time-series system production simulation analysis method. The operational cost of the system is considered as the objective function. Three different methods to increase regulating capacities, including using interconnection lines, building additional flexible power capacities, and retrofitting existing thermal power plants, are adopted and simulated to compare the costs of accommodating renewable energy in the system in these cases. Our results indicate that increasing the flexibility of thermal power plants and developing crossregional connection lines are cost-effective methods of increasing renewable energy consumption.

Feraios Revised： Inter-regional Trans-national Socioeconomic Cooperation in South and Eastern Europe

Contemporary systemic, global crisis enhances the risks of internal and transnational aberrations. Precisely for that reason, the need for an inter-regional, cross-national cooperation emerges even more emphatically. South and Eastern Europe provides an area where enhanced intercultural, business and socioeconomic interrelations generate a fertile environment for collaboration. The region, consisted of a broad mixture of national and cultural identities, rather presents great diversity, heterogeneity and complexity in transnational cooperation. Since the emergence of new countries, and consequently the establishment of new frontiers, the region has been experiencing fundamental changes in economic, political, social and cultural patterns. The present paper starts from the characteristics of the wider region that came out of a historical analysis, in the frame of a broader research project. We proceed with a SWOT analysis of the prospects for an inter-regional, cross-national cooperation. Based on this analysis as well as on a comprehensive literature review of relevant theoretical contributions, we provide a specific proposal for the structural reorganization of the existing institutions for transnational collaboration in the area, co-integrated in a mutual context of democratically legitimized, socially and environmentally balanced cooperation, taking into consideration local and ethnic specificity.

药品和耗材跨区域带量采购的实践与思考

目的比较我国药品和耗材跨区域带量采购的实践,厘清该模式的基本逻辑。方法比较分析国家组织集中采购(以下简称“国家集采”)和非国家集采框架下我国药品和耗材跨区域带量采购的实践,总结实践的基本特点,分析采购内容、采购环境及采购规则的内在关系。结果我国药品和耗材跨区域采购的实践包括:以国家组织药品集中采购和使用试点(以下简称“‘4+7’试点”),“4+7”试点扩围,第二、第三批国家组织药品集中采购和使用,深圳药品集中采购组织(group purchasing organization,GPO)模式为代表的药品带量采购;以京津冀联盟及由其发展而来的“3+6”联合采购模式,黔滇豫渝4省(直辖市)联盟以及陕西省牵头的15省(自治区、兵团)省(自治区、兵团)际联盟为代表的耗材带量采购;以三明联盟为代表的药品和耗材带量采购。实践特点是平台统一、信息共享,允许多家企业中标和价格差异,价格联动。结论跨区域带量采购将成为药品和耗材带量采购的主要模式,而合作共享的信息平台和科学合理的质量评价体系是重要保障。

Improving pixel-based regional landslide susceptibility mapping

Regional landslide susceptibility mapping(LSM)is essential for risk mitigation.While deep learning algorithms are increasingly used in LSM,their extensive parameters and scarce labels(limited landslide records)pose training challenges.In contrast,classical statistical algorithms,with typically fewer parameters,are less likely to overfit,easier to train,and offer greater interpretability.Additionally,integrating physics-based and data-driven approaches can potentially improve LSM.This paper makes several contributions to enhance the practicality,interpretability,and cross-regional generalization ability of regional LSM models:(1)Two new hybrid models,composed of data-driven and physics-based modules,are proposed and compared.Hybrid ModelⅠcombines the infinite slope stability analysis(ISSA)with logistic regression,a classical statistical algorithm.Hybrid ModelⅡintegrates ISSA with a convolutional neural network,a representative of deep learning techniques.The physics-based module constructs a new explanatory factor with higher nonlinearity and reduces prediction uncertainty caused by incomplete landslide inventory by pre-selecting non-landslide samples.The data-driven module captures the rela-tion between explanatory factors and landslide inventory.(2)A step-wise deletion process is proposed to assess the importance of explanatory factors and identify the minimum necessary factors required to maintain satisfactory model performance.(3)Single-pixel and local-area samples are compared to understand the effect of pixel spatial neighborhood.(4)The impact of nonlinearity in data-driven algorithms on hybrid model performance is explored.Typical landslide-prone regions in the Three Gorges Reservoir,China,are used as the study area.The results show that,in the testing region,by using local-area samples to account for pixel spatial neighborhoods,Hybrid ModelⅠachieves roughly a 4.2%increase in the AUC.Furthermore,models with 30 m resolution land-cover data surpass those using 1000 m resolution data,showing a 5.5%improvement in AUC.The optimal set of explanatory factors includes elevation,land-cover type,and safety factor.These findings reveal the key elements to enhance regional LSM,offering valuable insights for LSM practices.

Strengthening cross-region communication for mutual learning

From Oct 23 to 26 , the 21st National Work Conference for Exchanges Between Regional Associations for Friendship with Foreign Countries took place in Yinchuan, Ningxia Hui autonomous region. About 120 delegates of local foreign affairs offices (which also serve as local associations for friendship with foreign countries) from 21 provinces, municipalities and autonomous regions attended.After the opening ceremony.

Influence Factors and Development Model of Regional Ecotourism Cooperation in China

Regional ecotourism cooperation provides an institutional guarantee that brings together ecological resources development, protection of natural ecologies and regional economic growth, and also is one of the keys to improve the level of China＇s ecotourism development. China＇s administrative regions are divided by large areas of natural geography, such as vast tracts of land, mountainous areas and bodies of water. Given the structure of China＇s administrative system, administrative areas make independent and uncoordinated decisions concerning the use of ecological resources, resulting in low-level ecotourism products and redundant construction projects undertaken by local governments, limiting the further improvement of China＇s ecotourism level. Therefore, it is necessary to construct a spatial system and a model of regional ecotourism cooperation in line with China＇s national conditions. This paper adopts an inductive deductive method analyze systematically the connotations and obstacles of China＇s regional ecotourism cooperation, and proposes space development and cooperative model. Research shows that the inescapable choice is cross-regional ecotourism cooperation based on natural zonality, cultural similarity, coordinated regional economic development and policy integration. The key existing obstacles include administrative barriers, lack of motivation to cooperate and loose cooperation patterns. Future regional ecotourism cooperation should define the thematic function area, cooperation zones, scenic roads and ecotourist routes, to establish the cross-regional integration development system and realize systematic optimization. This study is of theoretical value for the development of regional ecotourism cooperation and the construction of spatial systems in China.

Difference Among Similarity:A Study on Macao Students’Adjustment Experiences in Taiwan’s Higher Education Systems

Purpose:This study focused on cross-region student mobility to explore whether Macao students have adjustment issues while studying and living in Taiwan.Design/Approach/Methods:A total of 663 Macao students were surveyed in Taiwan,and the statistical methods,including correlation,t-test,analysis of variance,and hierarchical regression analysis were addressed to analyze the data.Findings:Macao students,even while studying in a Chinese context,did have social and psychological adjustment issues(i.e.,social support and self-efficacy).Originality/Value:This study could shed some light on understanding cross-region students as well as providing practical guides for relevant governmental departments in their policy regarding outbound students.