scholarly journals Long‐term generation scheduling for renewable‐dominant systems concerning limited energy supporting capability of hydrogeneration

2021 ◽  
Author(s):  
Yisha Lin ◽  
Ying Qiao ◽  
Zongxiang Lu
Keyword(s):  
Limited Energy ◽  
Generation Scheduling

scholarly journals Long-Term Generation Scheduling for Cascade Hydropower Plants Considering Price Correlation between Multiple Markets

Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2239
Author(s):  
Bin Luo ◽  
Shumin Miao ◽  
Chuntian Cheng ◽  
Yi Lei ◽  
Gang Chen ◽  
...  
Keyword(s):  
Electricity Market ◽  
Large Scale ◽  
Copula Function ◽  
Market Environment ◽  
Scheduling Model ◽  
Multiple Markets ◽  
Generation Scheduling ◽  
Hydropower Plants ◽  
Proposed Model

The large-scale cascade hydropower plants in southwestern China now challenge a multi-market environment in the new round of electricity market reform. They not only have to supply the load for the local provincial market, but also need to deliver electricity to the central and eastern load centers in external markets, which makes the generation scheduling much more complicated, with a correlated uncertain market environment. Considering the uncertainty of prices and correlation between multiple markets, this paper has proposed a novel optimization model of long-term generation scheduling for cascade hydropower plants in multiple markets to seek for the maximization of overall benefits. The Copula function is introduced to describe the correlation of stochastic prices between multiple markets. The price scenarios that obey the Copula fitting function are then generated and further reduced by using a scenario reduction strategy that combines hierarchical clustering and inconsistent values. The proposed model is applied to perform the long-term generation scheduling for the Wu River cascade hydropower plants and achieves an increase of 106.93 million yuan of annual income compared with the conventional scheduling model, without considering price scenarios, showing better performance in effectiveness and robustness in multiple markets.

Long-Term Generation Scheduling of Hydrothermal Systems with Stochastic Inflows

1985 ◽  
Vol 18 (7) ◽  
pp. 161-166
Author(s):  
H. Durán ◽  
C. Puech ◽  
J. Díaz ◽  
G. Sánchez
Keyword(s):  
Hydrothermal Systems ◽  
Generation Scheduling ◽  
Stochastic Inflows

scholarly journals Generation Units Maintenance in Combined Heat and Power Integrated Systems Using the Mixed Integer Quadratic Programming Approach

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2840 ◽  
Author(s):  
Omid Sadeghian ◽  
Arash Moradzadeh ◽  
Behnam Mohammadi-Ivatloo ◽  
Mehdi Abapour ◽  
Fausto Pedro Garcia Marquez
Keyword(s):  
Numerical Simulation ◽  
Demand Response ◽  
Combined Heat And Power ◽  
Maintenance Scheduling ◽  
Mixed Integer ◽  
Short Term ◽  
Generation Scheduling ◽  
Integer Quadratic Programming ◽  
Mixed Integer Quadratic Programming

Yearly generation maintenance scheduling (GMS) of generation units is important in each system such as combined heat and power (CHP)-based systems to decrease sudden failures and premature degradation of units. Imposing repair costs and reliability deterioration of system are the consequences of ignoring the GMS program. In this regard, this research accomplishes GMS inside CHP-based systems in order to determine the optimal intervals for predetermined maintenance required duration of CHPs and other units. In this paper, cost minimization is targeted, and violation of units’ technical constraints like feasible operation region of CHPs and power/heat demand balances are avoided by considering related constraints. Demand-response-based short-term generation scheduling is accomplished in this paper considering the maintenance intervals obtained in the long-term plan. Numerical simulation is performed and discussed in detail to evaluate the application of the suggested mixed-integer quadratic programming model that implemented in the General Algebraic Modeling System software package for optimization. Numerical simulation is performed to justify the model effectiveness. The results reveal that long-term maintenance scheduling considerably impacts short-term generation scheduling and total operation cost. Additionally, it is found that the demand response is effective from the cost perspective and changes the generation schedule.

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