Sequential Operation Simulation Technology for Renewable Energy Accommodation Considering Multi-Energy Complementarity

doi:10.3969/j.issn.1000-7229.2019.07.003

Abstract

Abstract: For the accurate assessment of the multi-energy complementary benefits of renewable energy such as wind， photovoltaic and hydro power， a power system sequential operation simulation model is proposed considering the multiple energy coordination and complementary of hydro/coal/wind/photovoltaic power. The simulation model is based on the mid- and long-term random output sequential simulation of numerous wind farms and solar photovoltaic power plants， and the short-term optimization method of hydropower considering the influence of storage capacity on the basis of the results of medium and long-term hydropower optimization. The simulation calculation of production operation is carried out by taking the western China power grid as a case， which is with high proportion of renewable energy and difficulties in accommodation. The results show that the power structure and load characteristics of the northwest and southwest regions are different， and the complementary advantages of the trans-region are obvious. The construction of interconnection transmission channels between northwest and southwest regions can realize multi-energy complementarity， effectively improve the utilization efficiency of renewable energy transmission lines， and enhance the renewable energy accommodation capacity in the western region.

Key words: renewable energy accommodation, multi-energy complementarity, sequential operation simulation, northwestern-southwestern interconnection

CLC Number:

TM 74

CHEN Qichao，LI Hui，WANG Shuai，SHI Rui，ZHANG Ning，QI Qingru，WANG Fei. Sequential Operation Simulation Technology for Renewable Energy Accommodation Considering Multi-Energy Complementarity[J]. Electric Power Construction, 2019, 40(7): 18-25.

References

［1］李海，张宁，康重庆，等. 可再生能源消纳影响因素的贡献度分析方法［J］. 中国电机工程学报， 2019， 39（4）： 1009-1018.
LI Hai， ZHANG Ning， KANG Chongqing， et al. Analytics of contribution degree for renewable energy accommodation factors［J］. Proceedings of the CSEE， 2019， 39（4）： 1009-1018.
［2］潘尔生，王新雷，徐彤，等. 促进可再生能源电力接纳的技术与实践［J］. 电力建设， 2017， 38（2）： 1-11.
PAN Ersheng， WANG Xinlei， XU Tong， et al. Technology and practice of promoting renewable energy power accommodation［J］. Electric Power Construction， 2017， 38（2）： 1-11.
［3］张正陵. 中国“十三五”新能源并网消纳形势、对策研究及多情景运行模拟分析［J］. 中国电力， 2018， 51（1）： 1-9.
ZHANG Zhengling. Research on situation and countermeasures of new energy integration in the 13th five-year plan period and its multi-scenario simulation［J］. Electric Power， 2018， 51（1）： 1-9.
［4］舒印彪，张智刚，郭剑波，等. 新能源消纳关键因素分析及解决措施研究［J］. 中国电机工程学报， 2017， 37（1）： 1-9.
SHU Yinbiao， ZHANG Zhigang， GUO Jianbo， et al. Study on key factors and solution of renewable energy accommodation［J］. Proceedings of the CSEE， 2017， 37（1）： 1-9.
［5］王智冬. 特高压直流风电火电联合外送电源规模优化方法［J］. 电力建设， 2015， 36（10）： 60-66.
WANG Zhidong. Optimization method of UHVDC combined wind-thermal power transmission scale［J］. Electric Power Construction， 2015， 36（10）： 60-66.
［6］徐少华，李建林，宋新甫，等. 大规模储能系统提升西北地区可再生能源消纳能力分析［J］. 电力建设， 2018， 39（4）： 67-74.
XU Shaohua， LI Jianlin， SONG Xinfu， et al. Large-scale energy storage system help to improve northwest areas renewable energy absorption ability［J］. Electric Power Construction， 2018， 39（4）： 67-74.
［7］程浩忠，李隽，吴耀武，等. 考虑高比例可再生能源的交直流输电网规划挑战与展望［J］. 电力系统自动化， 2017， 41（9）： 19-27.
CHENG Haozhong， LI Juan， WU Yaowu， et al. Challenges and prospects for AC/DC transmission expansion planning considering high proportion of renewable energy［J］. Automation of Electric Power Systems， 2017， 41（9）： 19-27.
［8］程耀华，张宁，王佳明，等. 面向高比例可再生能源并网的输电网规划方案综合评价［J］. 电力系统自动化， 2019， 43（3）： 33-42， 57.
CHENG Yaohua， ZHANG Ning， WANG Jiaming， et al. Comprehensive evaluation of transmission network planning for integration of high-penetration renewable energy［J］. Automation of Electric Power Systems， 2019， 43（3）： 33-42， 57.
［9］潘尔生，李晖，肖晋宇，等. 考虑大范围多种类能源互补的中国西部清洁能源开发外送研究［J］. 中国电力， 2018， 51（9）： 158-164.
PAN Ersheng， LI Hui， XIAO Jinyu， et al. Research on the development and transmission of clean energy in western China considering wide range coordination of multi-energy［J］. Electric Power， 2018， 51（9）： 158-164.
［10］吴迪，王佳明，李晖，等. 以促进可再生能源消纳为目标的我国西北-西南联网容量与送电时序研究［J］. 电网技术， 2018， 42（7）： 2103-2110.
WU Di， WANG Jiaming， LI Hui， et al. Research on capacity and delivery sequence of interconnected northwestern-southwestern power grid towards renewable energy accommodation［J］. Power System Technology， 2018， 42（7）： 2103-2110.
［11］张曦，康重庆，张宁，等. 太阳能光伏发电的中长期随机特性分析［J］. 电力系统自动化， 2014， 38（6）： 6-13.
ZHANG Xi， KANG Chongqing， ZHANG Ning， et al. Analysis of mid/long term random characteristics of photovoltaic power generation［J］. Automation of Electric Power Systems， 2014， 38（6）： 6-13.
［12］DU E S， ZHANG N， HODGE B M， et al. Operation of a high renewable penetrated power system with CSP plants： A look-ahead stochastic unit commitment model［J］. IEEE Transactions on Power Systems， 2019， 34（1）： 140-151.
［13］ZHANG N， KANG C Q， KIRSCHEN D S， et al. Planning pumped storage capacity for wind power integration［J］. IEEE Transactions on Sustainable Energy， 2013， 4（2）： 393-401.
［14］ZHANG N， LU X， MCELROY M B， et al. Reducing curtailment of wind electricity in China by employing electric boilers for heat and pumped hydro for energy storage［J］. Applied Energy， 2016， 184： 987-994.

[1]	DONG Ling， NIAN Heng， FAN Yue， ZHAO Jianyong， ZHANG Zhi，LIN Zhenzhi. Exploration and Practice of Business Model of Shared Energy Storage in Energy Internet [J]. Electric Power Construction, 2020, 41(4): 38-44.
[2]	YANG Pengpeng，ZHANG Xiuping，WANG Mingqiang，YANG Ming，ANG Fei，WANG Shibo. Optimal Operation of Wind-PV-ES Joint System Considering the Peak Regulation Capability [J]. Electric Power Construction, 2019, 40(9): 124-130.
[3]	HUANG Junhui, XIE Zhenjian，QI Wanchun, GE Yi. Operation Efficiency Assessment Approach for Power Grid Based on Sequential Operation Simulation [J]. ELECTRIC POWER CONSTRUCTION, 2015, 36(10): 123-128.