| 引用本文: | 季宇,熊雄,寇凌峰,等.基于经济运行模型的储能系统投资效益分析[J].电力系统保护与控制,2020,48(4):143-150.[点击复制] |
| JI Yu,XIONG Xiong,KOU Lingfeng,et al.Analysis of energy storage system investment benefit based on economic operation model[J].Power System Protection and Control,2020,48(4):143-150[点击复制] |
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| 基于经济运行模型的储能系统投资效益分析 |
| 季宇,熊雄,寇凌峰,吴鸣,张颖,陈郑波,刘继春,向月 |
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| (中国电力科学研究院有限公司, 北京100192;四川大学电气工程学院，四川 成都 610065) |
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| 摘要: |
| 以区域型电网作为研究对象，研究了储能系统投资的经济效益。首先建立了区域电网内部电源和储能系统经济运行模型，采用了启发式调整策略和混合粒子群算法相结合的方法对优化模型进行求解。然后根据储能系统寿命折损率和成本-效益分析将储能系统的经济效益和投资成本折算到一个调度周期之内，通过等效净收益来评价投资方案的经济性优劣。算例以某区域电网为例，验证了模型和算法的有效性。分析了储能系统投资的经济效益和盈亏条件，同时对投资单价和购电价格两个关键参数对储能系统投资的影响进行了灵敏度分析。 |
| 关键词: 区域电网 储能系统 经济运行 粒子群算法 灵敏度分析 |
| DOI：10.19783/j.cnki.pspc.190432 |
| 投稿时间：2019-04-17修订日期：2019-06-12 |
| 基金项目:国家电网公司科技项目资助(PD71-18-011)“基于分布式/移动储能的配电网灵活性提升技术研究及应用” |
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| Analysis of energy storage system investment benefit based on economic operation model |
| JI Yu,XIONG Xiong,KOU Lingfeng,WU Ming,ZHANG Ying,CHEN Zhengbo,LIU Jichun,XIANG Yue |
| (China Electric Power Research Institute Co., Ltd., Beijing 100192, China;College of Electrical Engineering, Sichuan University, Chengdu 610065, China) |
| Abstract: |
| Taking the regional power grid as the research object, the economic profits of the investment in energy storage system are studied. Firstly, the power supply model and the economic operation model of energy storage system in regional power grid are established. The combination of heuristic adjustment strategy and hybrid particle swarm optimization algorithm is used to solve the optimization mode. Then according to the life-cycle loss rate and cost-benefit analysis of energy storage system, the economic benefits and investment costs of the energy storage system are converted into a scheduling period. The economic profits of the investment scheme are evaluated by the equivalent net income. Moreover, the case study of a regional power grid is used to verify the effectiveness of the model and algorithm. The economic benefits together with profit and loss conditions of the energy storage system investment are analyzed. The influence of two key parameters of investment unit price and electricity purchase price on the investment of energy storage system is also discussed through a sensitivity analysis case. This work is supported by Science and Technology Project of State Grid Corporation of China (No. PD71-18-011) ork Flexibility Enhancement Technology based on Distributed/Mobile Energy Storage". |
| Key words: regional power grid energy storage system economic operation particle swarm algorithm sensitivity analysis |
