Dispatch framework of power system with heat storage facilities in combined heat and power plants for wind power accommodation

2019 ◽  
Vol 14 (3) ◽  
pp. 335-343
Author(s):  
Huan Ma ◽  
Fei Xu ◽  
Qun Chen ◽  
Kang Hu ◽  
Lei Chen ◽  
...  
Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1599
Author(s):  
Yunhai Zhou ◽  
Shengkai Guo ◽  
Fei Xu ◽  
Dai Cui ◽  
Weichun Ge ◽  
...  

The wind–heat conflict and wind power uncertainty are the main factors leading to the phenomenon of wind curtailment during the heating period in the northern region of China. In this paper, a multi-time scale optimal scheduling strategy for combined heat and power system is proposed. Considering the temporal dependence of wind power fluctuation, the intra-day wind power scenario generation method is put forward, and both day-ahead and intra-day optimization scheduling models based on the scenario method are established to maximize the system’s revenue. The case analyzes the impacts of the initial heat storage capacity of a heat storage device and different scheduling strategies on system revenue. It is verified that the scheduling strategy can better adapt to wind power uncertainty and improve the absorption capacity of wind power, while ensuring the safety and economical efficiency of system operation.


2017 ◽  
Vol 32 (3) ◽  
pp. 1108-1116 ◽  
Author(s):  
Pouyan Pourbeik ◽  
Juan J. Sanchez-Gasca ◽  
Jayapalan Senthil ◽  
James D. Weber ◽  
Pouya Sajjad Zadehkhost ◽  
...  

Energies ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 1604
Author(s):  
Krešimir Fekete ◽  
Srete Nikolovski ◽  
Zvonimir Klaić ◽  
Ana Androjić

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.


Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2309 ◽  
Author(s):  
Christos Agathokleous ◽  
Jimmy Ehnberg

A significant amount of conventional power plants in the European power system is anticipated to be replaced by solar and wind power in the future. This may require alternative sources for inertia support. The purpose of the paper is to learn about the consequences on the frequency deviation after a fault in the European power system when more wind and solar are introduced and when wind is considered as a possible provider of inertia. This study quantifies the expected maximum requirement for additional inertia in the future European power system up to 2050. Furthermore, we investigated the possibility of wind power to meet this additional need by providing emulated inertia. The European power system of the EU-28 countries has been clustered to the five synchronous grids, UCTE, Nordic, UK, Baltic and Irish. The future European energy mix is simulated considering twelve different scenarios. Production units are dispatched according to their expected environmental impacts, which closely follow the minimum natural contribution of inertia, in descending order. The available capacity for all the types of production is considered the same as the installed. For all the simulated scenarios the worst case is examined, which means that a sudden disconnection of the largest production unit of the dispatched types is considered. Case study results reveal that, in most cases, additional inertia will be required but wind power may fully cover this need for up to 84% of all simulated horizons among all the scenarios on the UCTE grid, and for up to 98%, 86%, 99% and 86% on the Nordic, UK, Baltic and Irish grids, respectively.


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