Abstract
The park integrated energy system (PIES) plays an important role in realizing sustainable energy development and carbon neutral. Furthermore, its optimization dispatch can improve the energy utilization efficiency and reduce energy systems operation cost. However, the randomness and volatility of renewable energy and the instability of load all bring challenges to its optimal operation. An optimal dispatch framework of PIES is proposed, which constructs the operation models under three different time scales, including day-ahead, intra-day and real-time. Demand response is also divided into three levels considering its response characteristics and cost composition under different time scales. The example analysis shows that the multi-time scale optimization dispatch model can not only meet the supply and demand balance of PIES, diminish the fluctuation of renewable energy and flatten load curves, but also reduce the operation cost and improve the reliability of energy systems.
Highlights
The park integrated energy system (PIES) is one of the main forms of distributed renewable energy utilization, which plays an important role in promoting the absorption of renewable energy and establishing a new power system under lower-carbon (Zahedi, 1994; Tang et al, 2018)
In order to solve the optimal dispatch scheme of PIES, this paper schedules the cost coefficient and flexible load based on demand response under different time scales and the establishment of objective functions and constraint conditions in day-ahead, intraday and real-time dispatch
In order to further improve the operation economy of PIES, this paper puts forward an economic optimization dispatch strategy under multiple time scales
Summary
The park integrated energy system (PIES) is one of the main forms of distributed renewable energy utilization, which plays an important role in promoting the absorption of renewable energy and establishing a new power system under lower-carbon (Zahedi, 1994; Tang et al, 2018). In order to solve the optimal dispatch scheme of PIES, this paper schedules the cost coefficient and flexible load based on demand response under different time scales and the establishment of objective functions and constraint conditions in day-ahead, intraday and real-time dispatch. This is because electricity price is higher than the price of natural gas at the same energy consumption in the peak period, so adding power from CCHP equipment is more cost-effective than purchasing electricity. It is necessary to verify whether the model is applicable to different types of energy systems
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