The concept of collaborative consumption has been developed in consumer studies to define new consumption opportunities which are facilitated by information systems.Accordingly,novel services such as the ridesharing s...The concept of collaborative consumption has been developed in consumer studies to define new consumption opportunities which are facilitated by information systems.Accordingly,novel services such as the ridesharing service Uber,for transport,and the hospitality-brokering service Airbnb,for accommodation,successfully employ collaboration in consumption and provide consumers with novel types of access to services.Yet while the identification of this new characteristic of consumption is of great merit,less attention has been paid in consumer studies to how it challenges existing market arrangements.It is against this background that this article examines collaborative consumption as a source of market disruption.The article applies the concept to the empirical case of a pilot scheme in collaborative public transport(Kutsuplus),which essentially consisted of a taxi-like bus service in Helsinki,Finland.It argues that collaborative consumption may tend to contribute premium rather than standard quality in public services,which is apt to disrupt both public and private service markets.The analysis further affirms that the concept of collaborative consumption is well suited to the assessment of novel services and their disruptive characteristics.展开更多
To accommodate wind power as safely as possible and deal with the uncertainties of the output power of winddriven generators,a min-max-min two-stage robust optimization model is presented,considering the unit commitme...To accommodate wind power as safely as possible and deal with the uncertainties of the output power of winddriven generators,a min-max-min two-stage robust optimization model is presented,considering the unit commitment,source-network load collaboration,and control of the load demand response.After the constraint functions are linearized,the original problem is decomposed into the main problem and subproblem as a matrix using the strong dual method.The minimum-maximum of the original problem was continuously maximized using the iterative method,and the optimal solution was finally obtained.The constraint conditions expressed by the matrix may reduce the calculation time,and the upper and lower boundaries of the original problem may rapidly converge.The results of the example show that the injected nodes of the wind farms in the power grid should be selected appropriately;otherwise,it is easy to cause excessive accommodation of wind power at some nodes,leading to a surge in reserve costs and the load demand response is continuously optimized to reduce the inverse peak regulation characteristics of wind power.Thus,the most economical optimization scheme for the worst scenario of the output power of the generators is obtained,which proves the economy and reliability of the two-stage robust optimization method.展开更多
文摘The concept of collaborative consumption has been developed in consumer studies to define new consumption opportunities which are facilitated by information systems.Accordingly,novel services such as the ridesharing service Uber,for transport,and the hospitality-brokering service Airbnb,for accommodation,successfully employ collaboration in consumption and provide consumers with novel types of access to services.Yet while the identification of this new characteristic of consumption is of great merit,less attention has been paid in consumer studies to how it challenges existing market arrangements.It is against this background that this article examines collaborative consumption as a source of market disruption.The article applies the concept to the empirical case of a pilot scheme in collaborative public transport(Kutsuplus),which essentially consisted of a taxi-like bus service in Helsinki,Finland.It argues that collaborative consumption may tend to contribute premium rather than standard quality in public services,which is apt to disrupt both public and private service markets.The analysis further affirms that the concept of collaborative consumption is well suited to the assessment of novel services and their disruptive characteristics.
基金supported by the Special Research Project on Power Planning of the Guangdong Power Grid Co.,Ltd.
文摘To accommodate wind power as safely as possible and deal with the uncertainties of the output power of winddriven generators,a min-max-min two-stage robust optimization model is presented,considering the unit commitment,source-network load collaboration,and control of the load demand response.After the constraint functions are linearized,the original problem is decomposed into the main problem and subproblem as a matrix using the strong dual method.The minimum-maximum of the original problem was continuously maximized using the iterative method,and the optimal solution was finally obtained.The constraint conditions expressed by the matrix may reduce the calculation time,and the upper and lower boundaries of the original problem may rapidly converge.The results of the example show that the injected nodes of the wind farms in the power grid should be selected appropriately;otherwise,it is easy to cause excessive accommodation of wind power at some nodes,leading to a surge in reserve costs and the load demand response is continuously optimized to reduce the inverse peak regulation characteristics of wind power.Thus,the most economical optimization scheme for the worst scenario of the output power of the generators is obtained,which proves the economy and reliability of the two-stage robust optimization method.
