Economic dispatch model for wind power integrated system considering the dispatchability of power to gas
Economic dispatch model for wind power integrated system considering the dispatchability of power to gas
复制标题
考虑电改气可调度性的风电并网系统经济调度模型
DOI：
10.1049/iet-gtd.2018.5640
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发表时间：
2019-01
影响因子：
2.5
通讯作者：
Cai Zexiang
中科院分区：
文献类型：
--
作者：
Chen Zexing;Zhang Yongjun;Ji Tianyao;Li Canbing;Xu Zhiheng;Cai Zexiang
电力转天然气（P2G）技术为有效、长期、大规模的储能开辟了另一个视角，从而可以促进大规模的风电并网。在此背景下，本文将P2G技术引入风电并网系统的经济调度模型。首先，根据风电功率预测误差的概率分布，建立风电功率的不确定性区间模型。然后，考虑到P2G吸收剩余风电和承担下旋备用的功能，通过理论推导分析了影响P2G提高风电容量能力的因素。因此，可以进一步理解在P2G的给定容量下，最大风力发电集成与输送到P2G设施的功率之间的关系。建立了包含风电、P2G设施和蓄电池储能系统的经济调度模型，并提出了一种可行域松弛算法来处理模型中的非光滑函数。对修改后的IEEE 39节点系统进行了案例研究。仿真结果验证了理论分析的正确性，表明该模型有助于减少弃风限电，提高电力系统的安全性和经济性。
Power-to-gas (P2G) technology opens up another perspective for effective, long-term, large-scale energy storage, so that it can promote large-scale wind power integration. Under this background, this study introduces P2G technology into the economic dispatch model of wind power integrated systems. First, an uncertainty interval model of wind power is built based on the probability distribution of wind power prediction error. Then, considering P2G's function of absorbing surplus wind power and undertaking downward spinning reserve, the factors that influence P2G's ability in enhancing the accommodation of wind power are analysed through theoretical derivation. Consequently, the relationship between the maximum wind power integration and the power delivered to the P2G facilities under a given capacity of P2G can be further understood. Moreover, an economic dispatch model incorporating wind power, P2G facilities and battery energy storage systems is established and a feasible region relaxation algorithm is proposed to deal with the non-smooth functions in the proposed model. Case studies are conducted on a modified IEEE 39-bus system. The results verify the correctness of theoretic analysis and show that the proposed model can help to reduce wind power curtailment and enhance the security and economy of the power system.
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影响因子：
2.6
作者：
R. Sebastián
通讯作者：
R. Sebastián
影响因子：
11.2
作者：
Guandalini, Giulio;Campanari, Stefano;Romano, Matteo C.
通讯作者：
Romano, Matteo C.
DOI：
10.1109/ptc.2015.7232587
发表时间：
2015-06
期刊：
2015 IEEE Eindhoven PowerTech
影响因子：
--
作者：
V. Heinisch;L. Tuan
通讯作者：
V. Heinisch;L. Tuan
影响因子：
4.4
作者：
A. Shahmohammadi;M. Moradi-dalvand;H. Ghasemi;M. Ghazizadeh
通讯作者：
A. Shahmohammadi;M. Moradi-dalvand;H. Ghasemi;M. Ghazizadeh
DOI：
10.1016/j.ijepes.2012.03.015
发表时间：
2012-11
影响因子：
5.2
作者：
A. Parisio;C. D. Vecchio;A. Vaccaro
通讯作者：
A. Parisio;C. D. Vecchio;A. Vaccaro