Because China’s long-term constant photovoltaic (PV) feed-in tariff policy has not been able to adapt to the decline in the cost of PV equipment, and too broad regional pricing will hinder the development of distribu...
详细信息
Because China’s long-term constant photovoltaic (PV) feed-in tariff policy has not been able to adapt to the decline in the cost of PV equipment, and too broad regional pricing will hinder the development of distributed photovoltaic generation (DPVG) to some extent. Therefore, this paper will re-evaluate China’s solar resource endowments into five regions, and based on the accounting cost method, combine the learning curve of PV equipment to accurately measure the dynamic unit generation cost of distributed PV. In addition, considering the reasonable returns to investors and tax factors, this study has obtained a dynamic feed-in tariff model for DPVG. A case study based on the model shows that the results of feed-in tariff is reasonable and effective, and the government should adjust the feed-in tariff more frequently according to the feed-in tariff pricing model in this study.
This paper constructs the background value of grey GM (1, 1) model by using Gaussian quadrature formula, improves its accuracy and the data quality. It indicates that reconstruction of the background value is the key ...
详细信息
This paper constructs the background value of grey GM (1, 1) model by using Gaussian quadrature formula, improves its accuracy and the data quality. It indicates that reconstruction of the background value is the key factor affecting prediction accuracy and applicability.
Nowadays, more and more large IT projects need to unit several entities to accomplish together, which forms project-oriented and geographically distributed virtual organizations and leads to new distributed risks. Thi...
详细信息
An industrial park containing distributed generations (DGs) can be seen as a microgrid. Due to the uncertainty and intermittency of the output of DGs, it is necessary to add battery energy storage system (BESS) in ind...
详细信息
ISBN:
(纸本)9781665434263
An industrial park containing distributed generations (DGs) can be seen as a microgrid. Due to the uncertainty and intermittency of the output of DGs, it is necessary to add battery energy storage system (BESS) in industrial parks. The battery state of health (SOH) is an important indicator of battery life. It is necessary to fully consider the battery SOH during the energy optimization of industrial parks. In this work, a two-stage model suitable for charge and discharge optimization of BESSs in industrial park microgrids is proposed. The first stage of the model is a charge and discharge scheduling of a BESS considering the SOH. This stage mainly schedules the charge and discharge time and the total amount of time. The second stage of the model is employed to further determine the charge and discharge allocation of all battery packs to achieve BESS life prolongation. The experimental results show that the introduction of SOH makes the scheduling results more realistic. Also, it balances the changes in the SOHs of all battery packs.
This paper proposes a method which uses RDF to express resources, tags and users of Folksonomy and allows users to assign tags freely by achieving the storage and query of RDF data. It provides a means for completely ...
详细信息
This paper proposes a method which uses RDF to express resources, tags and users of Folksonomy and allows users to assign tags freely by achieving the storage and query of RDF data. It provides a means for completely open and sharing of information between users. And it is also applied in the manufacture enterprises' website that it widens the application range of folksonomy. The method can not only improve the degree of users' participation, but also realize the efficient management of mass data and the quick query of Information.
With the rapid development of distributed generation, peer-to-peer (P2P) electricity trading between microgrids in blockchain environment has become one of the indispensable ways to consume the local renewable energy....
详细信息
ISBN:
(纸本)9781665434263
With the rapid development of distributed generation, peer-to-peer (P2P) electricity trading between microgrids in blockchain environment has become one of the indispensable ways to consume the local renewable energy. The existing credit management for P2P electricity trading generally realized through the smart contract of penalty, which cannot show the risk identification and risk aversion behaviors of each microgrid. Therefore, this study proposes a newly credit management mechanism to reduce the defaults, which achieves credit-based risk control optimization and credit-based continuous double auctions. In the first stage, microgrids make robust control optimize to submit a trading strategy that follows contracts as far as possible. In the second stage, which realizes rewards and penalties through credit-based equivalent price conversion. The experimental results show that the proposed credit management mechanism can improve microgrids' interests and ensure fair environment.
Similarity of intuitionistic fuzzy sets(IFSs) is an important tool for determining the similarity degree between two objects,which is often used in the fields of pattern recognition,medical diagnosis and so *** many i...
详细信息
Similarity of intuitionistic fuzzy sets(IFSs) is an important tool for determining the similarity degree between two objects,which is often used in the fields of pattern recognition,medical diagnosis and so *** many intuitionistic fuzzy similarity measurement(IFSM) methods have been proposed,those methods ignore the effect of the hesitancy part's orientation on similarity degree,which causes partial information loss and reduces the reasoning *** this paper,an improved IFSM method considering the orientation of hesitancy part on membership part,non-membership part and hesitancy part,is established by introducing the protection degrees of membership,non-membership and ***,this method is applied to pattern recognition problems to demonstrate the effectiveness and applicability of the proposed method.
The paper develops a simple method of dynamic gesture recognition based on the Kinect which is a new sensor from Microsoft in the environment of VS2010 combining Kinect for Windows SDK *** sensors can track human bodi...
详细信息
ISBN:
(纸本)9781510820524
The paper develops a simple method of dynamic gesture recognition based on the Kinect which is a new sensor from Microsoft in the environment of VS2010 combining Kinect for Windows SDK *** sensors can track human bodies within their effective scope in real-time and obtain the depth of the corresponding information and bones at the same ***,we separated each dynamic hand gesture to be a combination of several micro-gestures which were from predefined eight micro-gestures with eight different *** Dynamic Time Warping algorithm was adopted to find the most similar template gesture,then the system realized corresponding control instruction of the matched template gesture,and consequently,we can achieve somatosensory interaction by recognizing dynamic hand gestures,and the total recognition rate isn't less than 90%.
Periodic replenishment inventory models are widely used in practice, especially for inventory systems in which many different goods are purchased from the same supplier. However, most of periodic replenishment invento...
详细信息
ISBN:
(纸本)9781479937097
Periodic replenishment inventory models are widely used in practice, especially for inventory systems in which many different goods are purchased from the same supplier. However, most of periodic replenishment inventory models have assumed a fixed length of the replenishment periods. In practice, it is possible that the replenishment periods are of a stochastic length. This paper presents an inventory control model for deteriorating items in the case of random replenishment intervals and stock-dependent selling rate. The replenishment interval is assumed to obey from two different distributions, namely, exponential and uniform distributions. Also, shortages are allowed in the term of partial backordering. For this model, we provide the necessary and sufficient conditions of the existence and uniqueness of the optimal solutions and a procedure is also developed to determine the optimal solution for the proposed models. At last, numerical example is shown to illuminate the presented model.
In traditional study of mining data stream, each item in the data stream is of equal importance. However, in practice, each item has a different significance, which is known as utility. This paper combines frequent mi...
详细信息
In traditional study of mining data stream, each item in the data stream is of equal importance. However, in practice, each item has a different significance, which is known as utility. This paper combines frequent mining item sets with utility and proposes an efficient algorithm for utility frequent pattern mining (UFPM). It combines bitmap with tree structure that can store and update the pattern of data stream quickly and completely by scanning only once. The algorithm generated by lexicographic order, proposes a novel tree U-tree and makes convenience for pattern updating and user reading. With a pattern growth approach in mining, the algorithm can effectively avoid the problem of a mass candidacy generation by level-wise searching. The experiments results show that our algorithm which is in high efficiency and good scalability outperforms the existing analogous algorithm.
暂无评论