Peak Shaving Strategy of Concentrating Solar Power Generation Based on Multi-Time-Scale and Considering Demand Response

According to the multi-time-scale characteristics of power generation and demand-side response(DR)resources,as well as the improvement of prediction accuracy along with the approaching operating point,a rolling peak shaving optimization model consisting of three different time scales has been proposed.The proposed peak shaving optimization model considers not only the generation resources of two different response speeds but also the two different DR resources and determines each unit combination,generation power,and demand response strategy on different time scales so as to participate in the peaking of the power system by taking full advantage of the fast response characteristics of the concentrating solar power(CSP).At the same time,in order to improve the accuracy of the scheduling results,the combination of the day-ahead peak shaving phase with scenario-based stochastic programming can further reduce the influence of wind power prediction errors on scheduling results.The testing results have shown that by optimizing the allocation of scheduling resources in each phase,it can effectively reduce the number of starts and stops of thermal power units and improve the economic efficiency of system operation.The spinning reserve capacity is reduced,and the effectiveness of the peak shaving strategy is verified.

Research on the Collaborative Governance of Social Responsibility in Online Audiovisual Enterprises

This paper aims to analyze the present conditions of the social responsibility ecosystem in online audiovisual enterprises in the digital age. It focuses on the governance of social responsibility in these enterprises and conducts an in-depth analysis of the problems and influencing factors related to the social responsibility aberrations of online audiovisual enterprises. Drawing upon social responsibility theory and collaborative governance theory, this research constructs a social responsibility guidance and governance system guided by the public, supported by the voluntary fulfillment of responsibilities by online audiovisual enterprises, and based on the collaborative participation of diverse stakeholders. It explores and optimizes the implementation pathways of this system, providing theoretical support and practical guidance for promoting the sustainable development of online audiovisual enterprises. Furthermore, it aims to contribute to the creation of a harmonious Internet ecosystem.

Fast measurement and prediction method for electromagnetic susceptibility of receiver

Aiming at evaluating and predicting rapidly and accurately a high sensitivity receiver’s adaptability in complex electromagnetic environments,a novel testing and prediction method based on dual-channel multi-frequency is proposed to improve the traditional two-tone test.Firstly,two signal generators are used to generate signals at the radio frequency(RF)by frequency scanning,and then a rapid measurement at the intermediate frequency(IF)output port is carried out to obtain a huge amount of sample data for the subsequent analysis.Secondly,the IF output response data are modeled and analyzed to construct the linear and nonlinear response constraint equations in the frequency domain and prediction models in the power domain,which provide the theoretical criteria for interpreting and predicting electromagnetic susceptibility(EMS)of the receiver.An experiment performed on a radar receiver confirms the reliability of the method proposed in this paper.It shows that the interference of each harmonic frequency and each order to the receiver can be identified and predicted with the sensitivity model.Based on this,fast and comprehensive evaluation and prediction of the receiver’s EMS in complex environment can be efficiently realized.

Optimized scheduling of integrated energy systems for low carbon economy considering carbon transaction costs

With the introduction of the“dual carbon”goal and the continuous promotion of low-carbon development,the integrated energy system(IES)has gradually become an effective way to save energy and reduce emissions.This study proposes a low-carbon economic optimization scheduling model for an IES that considers carbon trading costs.With the goal of minimizing the total operating cost of the IES and considering the transferable and curtailable characteristics of the electric and thermal flexible loads,an optimal scheduling model of the IES that considers the cost of carbon trading and flexible loads on the user side was established.The role of flexible loads in improving the economy of an energy system was investigated using examples,and the rationality and effectiveness of the study were verified through a comparative analysis of different scenarios.The results showed that the total cost of the system in different scenarios was reduced by 18.04%,9.1%,3.35%,and 7.03%,respectively,whereas the total carbon emissions of the system were reduced by 65.28%,20.63%,3.85%,and 18.03%,respectively,when the carbon trading cost and demand-side flexible electric and thermal load responses were considered simultaneously.Flexible electrical and thermal loads did not have the same impact on the system performance.In the analyzed case,the total cost and carbon emissions of the system when only the flexible electrical load response was considered were lower than those when only the flexible thermal load response was taken into account.Photovoltaics have an excess of carbon trading credits and can profit from selling them,whereas other devices have an excess of carbon trading and need to buy carbon credits.

Optimal Scheduling Strategy of Source-Load-Storage Based onWind Power Absorption Benefit

In recent years,the proportion of installed wind power in the three north regions where wind power bases are concentrated is increasing,but the peak regulation capacity of the power grid in the three north regions of China is limited,resulting in insufficient local wind power consumption capacity.Therefore,this paper proposes a two-layer optimal scheduling strategy based on wind power consumption benefits to improve the power grid’s wind power consumption capacity.The objective of the uppermodel is tominimize the peak-valley difference of the systemload,which ismainly to optimize the system load by using the demand response resources,and to reduce the peak-valley difference of the system load to improve the peak load regulation capacity of the grid.The lower scheduling model is aimed at maximizing the system operation benefit,and the scheduling model is selected based on the rolling schedulingmethod.The load-side schedulingmodel needs to reallocate the absorbed wind power according to the response speed,absorption benefit,and curtailment penalty cost of the two DR dispatching resources.Finally,the measured data of a power grid are simulated by MATLAB,and the results show that:the proposed strategy can improve the power grid’s wind power consumption capacity and get a large wind power consumption benefit.

Bio-Inspired Optimal Dispatching of Wind Power Consumption Considering Multi-Time Scale Demand Response and High-Energy Load Participation

Bio-inspired computer modelling brings solutions fromthe living phenomena or biological systems to engineering domains.To overcome the obstruction problem of large-scale wind power consumption in Northwest China,this paper constructs a bio-inspired computer model.It is an optimal wind power consumption dispatching model of multi-time scale demand response that takes into account the involved high-energy load.First,the principle of wind power obstruction with the involvement of a high-energy load is examined in this work.In this step,highenergy load model with different regulation characteristics is established.Then,considering the multi-time scale characteristics of high-energy load and other demand-side resources response speed,a multi-time scale model of coordination optimization is built.An improved bio-inspired model incorporating particle swarm optimization is applied to minimize system operation and wind curtailment costs,as well as to find the most optimal energy configurationwithin the system.Lastly,we take an example of regional power grid in Gansu Province for simulation analysis.Results demonstrate that the suggested scheduling strategy can significantly enhance the wind power consumption level and minimize the system’s operational cost.

Service and Responsibility： Reinforcing the Environmental E-government of China

Environmental E-government plays an important role in the progress of uniting the harmonious development between human and nature, and building the environment-friendly-society. This paper discusses the relationship between environmental E-government and government function of the environmental management. To develop environmental E-government can better the executive ability of the government to manage the environment and serve the public. It can realize the over-all covering of environmental information beyond time and space. Also, it can enhance the mutual action between the society and the government, and improve the effectiveness of the government to manage the environment as well.

Economic Analysis of Demand Response Incorporated Optimal Power Flow

Demand Response(DR)is one of the most cost-effective and unfailing techniques used by utilities for consumer load shifting.This research paper presents different DR programs in deregulated environments.The description and the classification of DR along with their potential benefits and associated cost components are presented.In addition,most DR measurement indices and their evaluation are also highlighted.Initially,the economic load model incorporated thermal,wind,and energy storage by considering the elasticity market price from its calculated locational marginal pricing(LMP).The various DR programs like direct load control,critical peak pricing,real-time pricing,time of use,and capacity market programs are considered during this study.The effect of demand response in electricity prices is highlighted using a simulated study on IEEE 30 bus system.Simulation is done by the Shuffled Frog Leap Algorithm(SFLA).Comprehensive performance comparison on voltage deviations,losses,and cost with and without considering DR is also presented in this paper.

The Fulfillment of Government Responsibilities in the Collaborative Governance of Rural Water Pollution

Rural environmental pollution is becoming more and more serious, which has become an important problem to be solved urgently in our country under the background of the new era. Protecting the ecological environment is one of the important functions of the government, and protecting the rural water environment is the unshirkable responsibility of the local governments. As the main body of rural water pollution control, how to define and fulfill the local governments’ responsibilities is of great significance to the advancement of the overall governance work. This paper starts from the local governments, which are the important main body of rural environmental governance. By comparing the similarities and differences between the performance of government responsibilities under the traditional governance model and the collaborative governance model, clarifies the governance responsibilities of the local governments. And further explores the effective measures for the government to play the main role, fulfill the main responsibilities, and participate in the collaborative governance of rural water pollution.

Electricity-Carbon Interactive Optimal Dispatch of Multi-Virtual Power Plant Considering Integrated Demand Response

As new power systems and dual carbon policies develop,virtual power plant cluster(VPPC)provides another reliable way to promote the efficient utilization of energy and solve environmental pollution problems.To solve the coordinated optimal operation and low-carbon economic operation problem in multi-virtual power plant,a multi-virtual power plant(VPP)electricity-carbon interaction optimal scheduling model considering integrated demand response(IDR)is proposed.Firstly,a multi-VPP electricity-carbon interaction framework is established.The interaction of electric energy and carbon quotas can realize energy complementarity,reduce energy waste and promote low-carbon operation.Secondly,in order to coordinate the multiple types of energy and load in VPPC to further achieve low-carbon operation,the IDR mechanism based on the user comprehensive satisfaction(UCS)of electricity,heat as well as hydrogen is designed,which can effectively maintain the UCS in the cluster within a relatively high range.Finally,the unit output scheme is formulated to minimize the total cost of VPPC and the model is solved using theCPLEX solver.The simulation results showthat the proposed method effectively promotes the coordinated operation among multi-VPP,increases the consumption rate of renewable energy sources and the economics of VPPC and reduces carbon emissions.

The accounting method and application of CO_2 emissions responsibility by the electricity sector at the provincial level in China

When accounting the CO_2 emissions responsibility of the electricity sector at the provincial level in China,it is of great significance to consider the scope of both producers' and the consumers' responsibility,since this will promote fairness in defining emission responsibility and enhance cooperation in emission reduction among provinces.This paper proposes a new method for calculating carbon emissions from the power sector at the provincial level based on the shared responsibility principle and taking into account interregional power exchange.This method can not only be used to account the emission responsibility shared by both the electricity production side and the consumption side,but it is also applicable for calculating the corresponding emission responsibility undertaken by those provinces with net electricity outflow and inflow.This method has been used to account for the carbon emissions responsibilities of the power sector at the provincial level in China since 2011.The empirical results indicate that compared with the production-based accounting method,the carbon emissions of major power-generation provinces in China calculated by the shared responsibility accounting method are reduced by at least 10%,but those of other power-consumption provinces are increased by 20% or more.Secondly,based on the principle of shared responsibility accounting,Inner Mongolia has the highest carbon emissions from the power sector while Hainan has the lowest.Thirdly,four provinces,including Inner Mongolia,Shanxi,Hubei and Anhui,have the highest carbon emissions from net electricity outflow- 14 million t in 2011,accounting for 74.42% of total carbon emissions from net electricity outflow in China.Six provinces,including Hebei,Beijing,Guangdong,Liaoning,Shandong,and Jiangsu,have the highest carbon emissions from net electricity inflow- 11 million t in 2011,accounting for 71.44% of total carbon emissions from net electricity inflow in China.Lastly,this paper has estimated the emission factors of electricity consumption at the provincial level,which can avoid repeated calculations when accounting the emission responsibility of power consumption terminals(e.g.construction,automobile manufacturing and other industries).In addition,these emission factors can also be used to account the emission responsibilities of provincial power grids.

Parametric characteristic of the random vibration response of nonlinear systems

Volterra series is a powerful mathematical tool for nonlinear system analysis,and there is a wide range of nonlinear engineering systems and structures that can be represented by a Volterra series model.In the present study,the random vibration of nonlinear systems is investigated using Volterra series.Analytical expressions were derived for the calculation of the output power spectral density（PSD） and input-output cross-PSD for nonlinear systems subjected to Gaussian excitation.Based on these expressions,it was revealed that both the output PSD and the input-output crossPSD can be expressed as polynomial functions of the nonlinear characteristic parameters or the input intensity.Numerical studies were carried out to verify the theoretical analysis result and to demonstrate the effectiveness of the derived relationship.The results reached in this study are of significance to the analysis and design of the nonlinear engineering systems and structures which can be represented by a Volterra series model.

The power of the public purse: financing of global health partnerships and acienda setting for sustainability

Public-private partnerships(PPPs) have reshaped the institutional structure of global governance.They have advanced collaboration on core issues such as health, clean energy, the rights of women and children, and access to infrastructure, among others. But which actors create and finance public-private partnerships in global governance to advance such objectives? What are the implications of the agency behind such collaboration for influencing the global agenda on sustainable development? While some scholars and advocacy groups see the growing role of private actors as a powershift away from public institutions, others argue that such arrangements tend to be complementary to public mandates and indeed may provide a new means for international institutions to pursue such mandates. The article probes this debate by analyzing the type of actors that finance global health partnerships, an area in which the influence of hybrid initiatives is particularly prominent. It reveals that public financing remains a core and necessary condition for the emergence and functioning of PPPs. The growing share of private financing,nonetheless, has important implications for shaping partnerships agendas and steering global health and sustainability governance. Rather than a powershift or abdication of responsibilities by the state, there is rather a tendency of deliberate diffusion of power by donors toward hybrid structures.

The Government Regulation of Economy Transformations in Terms of the Multinational Entrepreneurship Development and Technological Progress

In this paper, the mechanisms and principles of economic regulation from the classical and modem approaches standpoints were analyzed, the typical for world economic theory trends of the government＇s economic role elaboration, of the government regulatory authority, reducing in favor of market self-organization was argued. The transnationalization as a factor of government regulation mechanisms modernization was estimated and the perspectives of government and MNC interactions development in the modem world were evaluated. The recommendations for improving the government economical regulation infrastructure and mechanisms due to the conditions of economy globalizing, transnational business developing, technologies progressing were presented

An Analysis of the Great Power Strategy of India's Modi Government

Over the past two years, India's Modi government has demonstrated the following features: focusing on the goals of becoming a great power and shaping India's South Asian dominance, expanding the scope of diplomatic strategy, emphasizing the role of soft power and focusing on self-development as well as external environment. Modi's great power strategy is deeply influenced by the Indian realistic international political outlook and, to a certain extent, reflects the governing philosophy of the Bharatiya Janata Party. The great power strategy is Modi's governing foundation and governing style, embedding Modi distinctive personal style. Under the influence of the great power strategy, China and India have increased their economic cooperation scope, widening the forms of public diplomacy, with an obvious geopolitical collision; India is taking more measures to check China.

Low Carbon Economic Dispatch of Integrated Energy System Considering Power Supply Reliability and Integrated Demand Response

Integrated energy system optimization scheduling can improve energy efficiency and low carbon economy.This paper studies an electric-gas-heat integrated energy system,including the carbon capture system,energy coupling equipment,and renewable energy.An energy scheduling strategy based on deep reinforcement learning is proposed to minimize operation cost,carbon emission and enhance the power supply reliability.Firstly,the lowcarbon mathematical model of combined thermal and power unit,carbon capture system and power to gas unit(CCP)is established.Subsequently,we establish a low carbon multi-objective optimization model considering system operation cost,carbon emissions cost,integrated demand response,wind and photovoltaic curtailment,and load shedding costs.Furthermore,considering the intermittency of wind power generation and the flexibility of load demand,the low carbon economic dispatch problem is modeled as a Markov decision process.The twin delayed deep deterministic policy gradient(TD3)algorithm is used to solve the complex scheduling problem.The effectiveness of the proposed method is verified in the simulation case studies.Compared with TD3,SAC,A3C,DDPG and DQN algorithms,the operating cost is reduced by 8.6%,4.3%,6.1%and 8.0%.

Study on the Escape of the Portuguese Leasing in Macao from Chinese Criminal Law and the Governance by the Government of the Qing Dynasty

After the Portuguese leased in Macao in the mid-period of Ming Dynasty, the Portuguese officials here were asked to comply with the law of China more than once. To the Qing dynasty, the Portuguese still stubbornly refused to obey the law of China and often escaped from Chinese criminal law using briberies. In the case about Huiqian CHEN and the processing in the end of 1743, the fact that the Portuguese often escaped from the law of China was changed, and the principle of the Chinese judicial officials about processing the murders about Chinese killed by foreigners was explicitly defined. In this principle, Chinese significant compromises and concessions to the Portuguese were also included, but the criminal jurisdiction was ultimately controlled by the Government of the Qing Dynasty. Thus, the foreign-related criminal procedures conforming to foreign conditions were revised by the government of the Qing Dynasty according to the actual circumstances of Macao. However, the foreign-related criminal procedures revised by the government of the Qing Dynasty were not honestly observed by the Portuguese. After several major cases occurred in Macao, security rules and regulations were further issued by the government of the Qing Dynasty, in which the judicial control power of the government of the Qing Dynasty in Macao was unequivocally stated.

The Evaluation and Analysis of the Government’s Entity Responsibilities of Promoting Gender Equality and Women’s Development

During the past 40 years of reform and opening-up,the chinese government,on the basis of adhering to the constitutional principle of equality between men and women,has proposed and resolutely implemented the basic state policy of equality between men and women,and constantly explored and implemented ways and measures to promote gender equality and the women’s all-round development.in enacting laws,formulating policies,drawing up plans and deploying work,the chinese government has taken into account the practical differences between the genders and the special interests of women,promoted women’s equal exercising of their democratic rights,equal participation in economic and social development and equal enjoyment of the fruits of reform and development,and provided stronger systematic and institutional guarantees for women’s development.

Research on Government Responsibility for the Protection of Intangible Cultural Heritage in Minority Areas

The protection of intangible cultural heritage is a long and arduous systematic project.It not only protects the heritage itself,but also protects its surroundings,including its historical,scientific,and emotional connotations and the elements of cultural heritage formation.In the protection of intangible cultural heritage,the local government will play a leading role and bear unshirkable responsibility for the success or failure of the construction.In the process,however,local governments are often affected by various factors,resulting in adverse phenomena such as government undertaking the whole things and protective damage.This paper takes minority areas as the research district to study the government responsibility for the protection of intangible cultural heritage.