Abstract
With the advent of the new types of electrical systems that attach more importance to the renewability of the energy resource, issues arising out of the randomness and volatility of the renewable energy resource, such as the safety, reliability, and economic operation of the underlying power generation system, are expected to be challenging. Generally speaking, the power generation company can do a reasonable dispatch of each unit according to weather forecast and load demand information. Focusing on concentrating solar power (CSP) plants (wind power, photovoltaic, battery energy storage, and thermal power plants), this paper proposes a day-ahead scheduling model for renewable energy generation systems. The model also considers demand response and related generator set constraints. The problem is described as a mixed-integer nonlinear programming (MINLP) problem, which can be solved by the CPLEX solver to obtain an optimal solution. At the same time, the paper compares and analyzes the impact of concentrating solar power plants on other renewable energy generation and thermal power operation systems. The results show that the renewable energy generation system can lower power generation costs, reduce load fluctuation, and enhance the energy storage rate.
Highlights
As the world’s largest energy producer and consumer, China has made it clear that it will strive to reach carbon emissions peaks by 2030 and suppress carbon emissions until complete neutrality is achieved by 2060
Reference [2] uses the dispatchability of concentrating solar power (CSP) plants to integrate CSP plants with wind farms, which reduces output uncertainty, improves overall regulation efficiency, and proves that the addition of CSP plants can increase the reliability of renewable energy power generation systems. erefore, it is of great significance to analyze the scheduling problems of renewable energy power generation systems including CSP plants and energy storage systems
From the system structure perspective, [3] proposes a novel robust framework using for day-ahead energy dispatch of residential microgrids, which solved the double uncertainty caused by renewable energy
Summary
With the advent of the new types of electrical systems that attach more importance to the renewability of the energy resource, issues arising out of the randomness and volatility of the renewable energy resource, such as the safety, reliability, and economic operation of the underlying power generation system, are expected to be challenging. The power generation company can do a reasonable dispatch of each unit according to weather forecast and load demand information. Focusing on concentrating solar power (CSP) plants (wind power, photovoltaic, battery energy storage, and thermal power plants), this paper proposes a day-ahead scheduling model for renewable energy generation systems. The paper compares and analyzes the impact of concentrating solar power plants on other renewable energy generation and thermal power operation systems. E results show that the renewable energy generation system can lower power generation costs, reduce load fluctuation, and enhance the energy storage rate
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