市场机制下光伏/小水电/抽水蓄能电站系统容量优化配置

doi:10.19595/j.cnki.1000-6753.tces.191843

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Abstract Under the background of China's electricity market reform and renewable energy power generation technology becoming more and more mature, renewable energy power generation technology undoubtedly has broad development prospects in current electricity market. Based on the economic benefits of hybrid energy system and the need to build a clean and environmental-friendly modern energy system, this paper puts forward a capacity allocation optimization method for hybrid energy system consist of photovoltaic power station, small hydropower station, pumped storage power station under the market mechanism aiming at renewable energy power generation technology in the electricity market, in order to obtain maximum economic benefits. Firstly, a hybrid energy system model with photovoltaic power station, small hydropower station and pumped storage power station as the main body was established. Secondly, based on this model, a bi-level programming model was proposed, which takes the minimum system investment cost as the objective function of the upper model and the maximum system revenue from electricity sales as the objective function of the lower one. The particle swarm optimization algorithm with linear decreasing inertia weight and sequential quadratic programming algorithm were used to solve the upper and lower layers of the model respectively. In addition, the scale effect of the investment cost of each subject was also introduced into the model. Finally, based on the collected data, the capacity allocation of the hybrid energy system was simulated and analyzed, and it is concluded that the economic benefit of the hybrid energy system with energy storage is expected to be 2.6 times of that without energy storage in the whole project cycle. The results verify the effectiveness of the proposed model and method.

Key words： Hybrid energy system bi-level programming model particle swarm optimization algorithm with linear decreasing inertia weight sequential quadratic programming algorithm

Received: 31 December 2019

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TM619

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	Articles by authors
	Luo Shihua
	Hu Weihao
	Huang Qi
	Han Xiaoyan
	Chen Zhe

Cite this article:

Luo Shihua,Hu Weihao,Huang Qi等. Optimization of Photovoltaic/Small Hydropower/Pumped Storage Power Station System Sizing under the Market Mechanism[J]. Transactions of China Electrotechnical Society, 2020, 35(13): 2792-2804.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.191843 OR https://dgjsxb.ces-transaction.com/EN/Y2020/V35/I13/2792

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