Stochastic optimization model for the short-term joint operation of photovoltaic power and hydropower plants based on chance-constrained programming

Energy ◽  
2021 ◽  
Vol 222 ◽  
pp. 119996
Author(s):  
Wenlin Yuan ◽  
Xinqi Wang ◽  
Chengguo Su ◽  
Chuntian Cheng ◽  
Zhe Liu ◽  
...  
Keyword(s):  
Stochastic Optimization ◽  
Optimization Model ◽  
Chance Constrained Programming ◽  
Joint Operation ◽  
Short Term ◽  
Photovoltaic Power ◽  
Hydropower Plants ◽  
Constrained Programming

scholarly journals Optimal Re-Dispatching of Cascaded Hydropower Plants Using Quadratic Programming and Chance-Constrained Programming

Energies ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 1604
Author(s):  
Krešimir Fekete ◽  
Srete Nikolovski ◽  
Zvonimir Klaić ◽  
Ana Androjić
Keyword(s):  
Power System ◽  
Wind Power ◽  
Power Plants ◽  
Chance Constrained Programming ◽  
Transmission Network ◽  
Wind Power Plants ◽  
Hydropower Plants ◽  
Optimization Stage ◽  
Optimization Methodology ◽  
Constrained Programming

Stochastic production from wind power plants imposes additional uncertainty in power system operation. It can cause problems in load and generation balancing in the power system and can also cause congestion in the transmission network. This paper deals with the problems of congestion in the transmission network, which are caused by the production of wind power plants. An optimization model for corrective congestion management is developed. Congestions are relieved by re-dispatching several cascaded hydropower plants. Optimization methodology covers the optimization period of one day divided into the 24 segments for each hour. The developed optimization methodology consists of two optimization stages. The objective of the first optimization stage is to obtain an optimal day-ahead dispatch plan of the hydropower plants that maximizes profit from selling energy to the day-ahead electricity market. If such a dispatch plan, together with the wind power plant production, causes congestion in the transmission network, the second optimization stage is started. The objective of the second optimization stage is the minimization of the re-dispatching of cascaded hydropower plants in order to avoid possible congestion. The concept of chance-constrained programming is used in order to consider uncertain wind power production. The first optimization stage is defined as a mixed-integer linear programming problem and the second optimization stage is defined as a quadratic programming (QP) problem, in combination with chance-constrained programming. The developed optimization model is tested and verified using the model of a real-life power system.

The Influence Research of Complementarities of Electric Vehicles and Distributed Energy on Grid Spinning Reserve Capacity and Peak Regulation

2012 ◽  
Vol 608-609 ◽  
pp. 1623-1626
Author(s):  
Zi Heng Xu ◽  
Rui Ma ◽  
Shu Kui Li
Keyword(s):  
Wind Power ◽  
Electric Vehicles ◽  
Reserve Capacity ◽  
Chance Constrained Programming ◽  
Distributed Energy ◽  
Joint Operation ◽  
Spinning Reserve ◽  
Electric Company ◽  
Load Demand ◽  
Constrained Programming

This paper raises a model which concerns about spinning reserve capacity of output and predicted error based on chance-constrained programming. The distribution function is established on the load demand of electric vehicles. Considering the complementarities of electric vehicles and small hydro and wind power generations, this paper constructs a dispatch model on the participation of electric vehicles in reserve capacity and peak regulation. Joint operation of different units in the system achieved by genetic algorithm examines the influence from joint dispatch of electric vehicles and small hydro and wind power generations on spinning reserve capacity and peak regulation plan, setting different values of confidence to make comparison of electric charge in the entire system. According to the real operation statistics of an electric company in a certain province, the reliability and accuracy of the model was guaranteed.

A stochastic optimization model for short-term production of offshore oil platforms with satellite wells using gas lift

Top ◽  
2020 ◽  
Vol 28 (3) ◽  
pp. 549-574
Author(s):  
Carlos Gamboa ◽  
Thuener Silva ◽  
Davi Valladão ◽  
Bernardo K. Pagnoncelli ◽  
Tito Homem-de-Mello ◽  
...  
Keyword(s):  
Stochastic Optimization ◽  
Optimization Model ◽  
Short Term ◽  
Oil Platforms ◽  
Offshore Oil Platforms ◽  
Offshore Oil ◽  
Gas Lift

Stochastic Optimization of Empty Container Repositioning of Sea Carriage

2011 ◽  
Vol 340 ◽  
pp. 324-330
Author(s):  
Bin Wang ◽  
Tao Yang
Keyword(s):  
Stochastic Optimization ◽  
Chance Constrained Programming ◽  
Empty Container ◽  
Shipping Company ◽  
Model And Simulation ◽  
Empty Container Repositioning ◽  
Shipping Cost ◽  
Effective Program ◽  
Empty Containers ◽  
Constrained Programming

To improve the efficiency of empty container repositioning for a shipping company, a stochastic optimization model of empty container repositioning of sea carriage was established by chance-constrained programming. The objective function was to minimize the cost of empty container repositioning including shipping, rening and shortage cost. In the model, shipping cost was decided by the number of ship used for empty container repositioning. The constraints of the model included meeting the need of empty containers, limit to the number of empty containers provided and the capacity of shipping. The numbers of empty containers required are stochastic. The stochastis model was transferred to an integer programming one. Lingo9.0 was used to solve the model and simulation was done under varied parameters to get a good shipping strategy. The results show that the model can provide an effective program of empty container repositioning for a shipping company and it is a good way to raise shipping efficiency.

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