scholarly journals A Two-Stage Optimal Scheduling Model of Microgrid Based on Chance-Constrained Programming in Spot Markets

Processes ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 107 ◽  
Author(s):  
Li ◽  
Tan ◽  
Ren ◽  
Yang ◽  
Yu ◽  
...  
Keyword(s):  
Pso Algorithm ◽  
Spot Market ◽  
Optimal Scheduling ◽  
Spot Markets ◽  
Chance Constrained Programming ◽  
Two Stage ◽  
Market Prices ◽  
Scheduling Model ◽  
Proposed Model ◽  
Constrained Programming

Aimed at the coordination control problem of each unit caused by microgrid participation in the spot market and considering the randomness of wind and solar output and the uncertainty of spot market prices, a day-ahead real-time two-stage optimal scheduling model for microgrid was established by using the chance-constrained programming theory. On this basis, an improved particle swarm optimization (PSO) algorithm based on stochastic simulation technology was used to solve the problem and the effect of demand side management and confidence level on scheduling results is discussed. The example results verified the correctness and effectiveness of the proposed model, which can provide a theoretical basis in terms of reasonably coordinating the output of each unit in the microgrid in the spot market.

Chance-Constrained Programming for Optimal Scheduling of Combined Cooling, heating, and Power-based Microgrid Coupled with Flexible Technologies

2021 ◽  
pp. 103502
Author(s):  
Peyman Khorshidian Mianaei ◽  
Mohammad Aliahmadi ◽  
Safura Faghri ◽  
Mohammad Ensaf ◽  
Amir Ghasemi ◽  
...  
Keyword(s):  
Optimal Scheduling ◽  
Chance Constrained Programming ◽  
Constrained Programming ◽  
Combined Cooling

Mathematical Programming for Modelling Green Supply Chains Under Randomness and Fuzziness

2017 ◽  
Vol 6 (1) ◽  
pp. 56-85
Author(s):  
Javad Nematian ◽  
Seyed Salar Ghotb
Keyword(s):  
Supply Chains ◽  
Deterministic Model ◽  
Negative Impact ◽  
Fuzzy Theory ◽  
Mixed Integer ◽  
Chance Constrained Programming ◽  
Proposed Model ◽  
Constrained Programming ◽  
Green Supply Chains ◽  
Fuzzy Random

Nowadays by growing concerns about environmental problems, businesses and industries are under pressure to decrease their negative impact on environment, consequently firms and industries have to reconsider about their activities and make their business compatible with environment. So industries should green their supply chains to optimize economic and environmental concerns, but because of uncertainty in the real world like inconsistency of world economy, the process of greening supply chains can be more complex. To optimize total costs and the unfavourable sides of supply chains simultaneously in an uncertain situation, this paper presents a multi-objective mixed integer programming with fuzzy random variables (FRVs) and by using fuzzy theory and fuzzy random chance-constrained programming (FRCCP), the proposed model is converted to deterministic model. This paper can be also suitable for decision making with optimistic, pessimistic and realistic notion. Finally, a numerical example is presented to illustrate the model.

scholarly journals Application of an improved PSO algorithm mixed BFO algorithm in optimal scheduling of hydropower station

2018 ◽  
Vol 246 ◽  
pp. 01044
Author(s):  
Yibo Zou ◽  
Mo Li ◽  
Xiaogang Xiao
Keyword(s):  
Strong Dependence ◽  
Optimal Solution ◽  
Pso Algorithm ◽  
Local Extremum ◽  
Optimal Scheduling ◽  
Hydropower Station ◽  
Scheduling Model ◽  
Multi Stage ◽  
Improved Pso

The optimal scheduling of hydropower station is a constrained strong, nonlinear and multi-stage combinatorial optimization. Aiming at this issue, this paper analyses the shortcomings of previous PSO algorithm in hydropower station optimal scheduling model, and presents an improved PSO algorithm for hybrid BFO algorithm, which overcomes the problem that the PSO algorithm is easy to fall into local extremum and has strong dependence on parameters. A case study of a short-term scheduling period of a hydropower station is used to compare the improved PSO algorithm mixed BFO algorithm with previous PSO algorithm. The results show that the improved PSO algorithm can converge to the global optimal solution more accurately. Therefore, it provides a new method for solving the optimal scheduling model of hydropower station.

Do Changes in Natural Gas Futures Prices Influence Changes in Natural Gas Spot Prices?

1993 ◽  
Vol 11 (5) ◽  
pp. 467-472 ◽  
Author(s):  
John H. Herbert
Keyword(s):  
Natural Gas ◽  
Futures Markets ◽  
Spot Market ◽  
Spot Markets ◽  
Futures Prices ◽  
Market Prices ◽  
Spot Prices ◽  
Futures Contract

Data on natural gas futures and spot markets are examined to determine if variability in price on futures markets influences variability in price on spot markets. Using econometric techniques, it is found that changes in futures contract prices do not precede changes in spot market prices.

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