Power system planning based on CSP-CHP system to integrate variable renewable energy

To achieve carbon neutrality in electricity, measures such as increasing the share of renewable energy sources such as wind power and achieving more accurate and faster wind power forecasting, and low carbon retrofitting of thermal power units are all important to achieve the goal. Firstly, the GRU prediction algorithm was used to forecast wind power, which performed well in terms of prediction accuracy and model training speed. Then, we continue to fully utilize the source-side low-carbon characteristics by installing flue gas bypass systems and liquid storage in carbon capture plants to form an integrated carbon capture plant operation, thereby reducing carbon emissions and the proportion of abandoned wind. Secondly, a three-stage low carbon economic dispatch model is established to reduce wind abandonment by combining wind power forecasts on different time scales. Finally, a case study was carried out using a modified IEEE-39 node system. The results show that the proposed three-stage integrated dispatching method can make full use of wind energy and achieve the goal of economic dispatching of the power system.

Section: Case Settingsmentioning

confidence: 99%

mentioning

confidence: 99%

Low carbon economic dispatch of power system at multiple time scales considering GRU wind power forecasting and integrated carbon capture

Ding

Zhou

et al. 2022

“…With the development of the economy and society, the interconnection between energy sources has become increasingly intricate, particularly in the deep coupling of electricity and heat. Presently, numerous scholars have made significant progress in studies involving the electric-thermal coupling power planning (Ding et al, 2021;Li et al, 2021;Liu et al, 2021) and coordinated electric-thermal coupling planning of sources and networks (Cui et al, 2019;Du et al, 2023). In studies considering electric-thermal coupling power planning, reference (Li et al, 2021) assembled a hybrid system comprising CHP units with concentrating solar power plants, effectively enhancing system operational flexibility.…”

Section: Introductionmentioning

confidence: 99%

Optimization of long cycle emission reduction paths for new-type power system considering electric-thermal coupling

Meng,

Zhao,

Chen

et al. 2024

The carbon factor is the core driving force behind the low-carbon transformation of the power system. The study of Emission Reduction Paths (ERPs) has become a key issue for the New-type Power System to achieve clean and low-carbon goals. In order to measure the relationship between ERP and the economy, this paper considers the retirement requirements of coal-fired power units and emission reduction requirements on a long cycle planning scale, and constructs a multi-scenario planning model that considers electric-thermal coupling, enabling the determination of installed capacity for power and heat sources each year. The effectiveness of the proposed model was verified using an improved IEEE-39 bus power system. A case study was conducted to analyze the economic performance of the system based on the selected ERP set. The results showed that under the rear acceleration’s ERP, the system could achieve optimal economic performance based on the selected ERP set.

“…On this account, the coexpansion planning (CEP) of IEHS is another research priority. Li et al (2021) proposed a CEP method for hybrid concentrating solar power and CHP plant in IEHS. Cheng et al (2019) developed a CEP model aimed at minimizing cost and emissions.…”

Section: Introductionmentioning

confidence: 99%

A bi-level co-expansion planning of integrated electric and heating system considering demand response

Xue²,

Liu³

et al. 2022

With the wide deployment of combined heat and power units, electric boilers, etc., the power system and the heating system are coupled tightly, which necessitates expansion planning in a coordinated manner. Demand response (DR) is considered an effective method for augmenting system flexibility, which would lead to a more beneficial planning strategy in the co-expansion planning strategy. Therefore, we develop a bi-level co-expansion planning model with DR constraints for the integrated electric and heating system to minimize expenses on both investment and operation. The upper level gives the optimal investment strategy of energy facilities, while the lower level is optimal operation problems with DR constraints under the given investment decision. Numerical simulation is employed in the P6H8 system to demonstrate the proposed model.