Parameterized Minimum Cost Partition of a Tree with Supply and Demand

2015 ◽  
pp. 180-189 ◽  
Author(s):  
Mugang Lin ◽  
Wenjun Li ◽  
Qilong Feng
Keyword(s):  
Supply And Demand ◽  
Minimum Cost

scholarly journals Game-Theory-Based Approach for Energy Routing in a Smart Grid Network

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
June S. Hong ◽  
Mihui Kim
Keyword(s):  
Game Theory ◽  
Power Plants ◽  
Supply And Demand ◽  
Minimum Cost ◽  
Power Markets ◽  
Renewable Power ◽  
Large Numbers ◽  
Production And Consumption ◽  
The Game Theory ◽  
Energy Routing

Small power plants and buildings with renewable power generation capability have recently been added to traditional central power plants. Through these facilities, prosumers appear to have a concurrent role in both energy production and consumption. Based on bidirectional power transfers by large numbers of prosumers, a smart microgrid has become an important factor in efficiently controlling the microgrids used in power markets and in conducting effective power trades among grids. In this paper, we present an approach utilizing the game theory for effective and efficient energy routing, which is a novel and challenging procedure for a smart microgrid network. First, we propose strategies for choosing the desired transaction price for both electricity surpluses and shortages to maximize profits through energy transactions. An optimization scheme is utilized to search for an energy route with minimum cost using the solving method used in a traditional transportation problem by treating the sale and purchase quantities as transportation supply and demand, respectively. To evaluate the effect of the proposed decision strategies, we simulated our mechanism, and the results proved that our mechanism yields results pursued by each strategy. Our proposed strategies will contribute to spreading a smart microgrid for enhancing the utilization of microgrids.

Minimum Cost Partitions of Trees with Supply and Demand

Algorithmica ◽  
2011 ◽  
Vol 64 (3) ◽  
pp. 400-415 ◽  
Author(s):  
Takehiro Ito ◽  
Takuya Hara ◽  
Xiao Zhou ◽  
Takao Nishizeki
Keyword(s):  
Supply And Demand ◽  
Minimum Cost

scholarly journals Cloud-Fog Computing-Based Distributed Event-Triggered Consensus Predictive Compensation for Optimal Energy Management in Microgrid under DoS Attack

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Lvhang Wang ◽  
Yongheng Pang ◽  
Bowen Zhou ◽  
Shuowei Jin
Keyword(s):  
Fog Computing ◽  
Supply And Demand ◽  
Denial Of Service ◽  
Minimum Cost ◽  
Consensus Algorithm ◽  
Dos Attack ◽  
Current Time ◽  
Optimization Management ◽  
Optimal Energy Management ◽  
Event Triggered

A cloud-fog computing-based event-triggered distributed energy optimization management method based on predictive attack compensation is proposed to address the problem of denial of service (DoS) attack, the complexity of computation, and the bandwidth constraint on the communication network in microgrids. Firstly, in order to optimize the energy supply of microgrid and maximize the profit, the minimum cost function of maintaining the balance of supply and demand is given considering the power loss of microgrid. Secondly, considering the problem of bandwidth-constrained communication, a distributed event-triggered consensus algorithm is proposed based on fog computing. Thirdly, a model predictive compensation algorithm based on cloud computing is proposed, which uses the mismatched power between supply and demand at the historical time before the attack to predict and compensate the missing data of the agent power at the current time and many times after attack. Finally, the effectiveness of the proposed method is verified by simulation results.

Minimum Cost Partitions of Trees with Supply and Demand

2010 ◽  
pp. 351-362 ◽  
Author(s):  
Takehiro Ito ◽  
Takuya Hara ◽  
Xiao Zhou ◽  
Takao Nishizeki
Keyword(s):  
Supply And Demand ◽  
Minimum Cost

Supply and Demand

1862 ◽  
Vol 7 (23) ◽  
pp. 361-361
Keyword(s):  
Supply And Demand

Maximum production — minimum cost via value analysis

1963 ◽  
Vol 42 (3) ◽  
pp. 147
Author(s):  
N. Taylor
Keyword(s):  
Minimum Cost ◽  
Value Analysis ◽  
Maximum Production

A generalized fuzzy cost efficiency model

2020 ◽  
Vol 54 (6) ◽  
pp. 1775-1791
Author(s):  
Nazila Aghayi ◽  
Samira Salehpour
Keyword(s):  
Cost Efficiency ◽  
Minimum Cost ◽  
Extensive Literature ◽  
Data Envelopment ◽  
Fuzzy Environment ◽  
Decision Making Unit ◽  
Production Possibility Set ◽  
Fuzzy Cost ◽  
The Cost ◽  
Generalized Cost

The concept of cost efficiency has become tremendously popular in data envelopment analysis (DEA) as it serves to assess a decision-making unit (DMU) in terms of producing minimum-cost outputs. A large variety of precise and imprecise models have been put forward to measure cost efficiency for the DMUs which have a role in constructing the production possibility set; yet, there’s not an extensive literature on the cost efficiency (CE) measurement for sample DMUs (SDMUs). In an effort to remedy the shortcomings of current models, herein is introduced a generalized cost efficiency model that is capable of operating in a fuzzy environment-involving different types of fuzzy numbers-while preserving the Farrell’s decomposition of cost efficiency. Moreover, to the best of our knowledge, the present paper is the first to measure cost efficiency by using vectors. Ultimately, a useful example is provided to confirm the applicability of the proposed methods.

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