Bilateral Reserve Capacity Optimization of Power System Based on Renewable Energy Uncertainty

doi:10.3969/j.issn.1000-7229.2016.04.003

Abstract

Abstract:

Under the background of global energy internet, renewable energy represented by wind power insertion into the power system brings new challenges to the security and stability of the system operation and puts forward higher requirements to the configuration of reserve capacity. For this reason, this paper proposes the optimization model of reserve capacity taking the minimum cost expectations on both sides as the objective function. Considering the interruptible load in the demand response and the uncertainty factors such as the deviations of wind speed prediction and load prediction, we set up the allocation principle of reserve capacity that can satisfy the requirements of economy and reliability. Finally, we solve the improved 10-units test system with using the genetic algorithm based on Monte Carlo stochastic simulation. The economy of reserve capacity optimization decision with considering demand response is better, which is obtained through the example. Compared with traditional reserve capacity configuration, the bilateral reserve capacity configuration can achieve the optimal allocation of resources within the system as a whole, and improve the absorption of wind power generation as well, which can achieve the optimum security and economy of power system.

Key words: wind field, demand response, bilateral reserve capacity, chance constrained

CLC Number:

TM 732

LYU Xiaofan, ZHOU Jie, JIANG Chuanwen. Bilateral Reserve Capacity Optimization of Power System Based on Renewable Energy Uncertainty[J]. Electric Power Construction, 2016, 37(4): 16-21.

References

［1］贾宏杰，穆云飞，余晓丹.对我国综合能源系统发展的思考［J］.电力建设，2015，36（1）：16-25.
JIA Hongjie，MU Yunfei，YU Xiaodan. Thought about the integrated energy system in China［J］. Electric Power Construction，2015，36（1）：16-25.
［2］王建学，王锡凡，丁晓莺.区域电力市场中的分区备用模型［J］.中国电机工程学报，2006，26（18）：28-33.
WANG Jianxue，WANG Xifan，DING Xiaoying.Study on zonal reserve model in power market［J］. Proceedings of the CSEE， 2006， 26（18）：28-33.
［3］罗超，杨军，孙元章，等.考虑备用容量优化分配的含风电电力系统动态经济调度［J］.中国工程电机学报，2014,34（34）：6109-6118.
LUO Chao，YANG Jun，SUN Yuanzhang, et al. Dynamic economic dispatch of wind integrated power system considering optimal scheduling of reserve capacity［J］. Proceedings of the CSEE，2014,34（34）：6109-6118.
［4］林勇，郑秀波，陈筱中，等.电力系统旋转事故备用容量的配置研究［J］.电力系统自动化，2014,38（19）：114-121.
LIN Yong，ZHENG Xiubo，CHEN Xiaozhong，et al. Estimation of spinning contingency reserve capacity in power systems［J］. Automation of Electrics Power Systems，2014,38（19）：114-121.
［5］盛四清，檀晓玲，李欢，等.含风电场的互联电力系统备用容量优化［J］.电网技术，2013，37（11）：3067-3072.
SHENG Siqing，TAN Xiaoling，LI Huan，et al. Reserve capacity optimization of interconnected power grid containing wind farms［J］. Power System Technology，2013，37（11）：3067-3072.
［6］张海峰，高峰，吴江，等.含风电的电力系统动态经济调度模型［J］.电网技术，2013，37（5）：1298-1303.
ZHANG Haifeng，GAO Feng，WU Jiang，et al.A dynamic economic dispatching model for power grid containing wind power generation system［J］. Power System Technology，2013，37（5）：1298-1303.
［7］陈功贵，陈金富.含风电场电力系统环境经济动态调度建模与算法［J］.中国电机工程学报，2013，33（10）：27-35.
CHEN Gonggui, CHEN Jinfu. Environmental/economic dynamic dispatch modeling and method for power system integrating wind farms［J］.Proceedings of the CSEE，2013，33（10）：27-35.
［8］吴杰康，史美娟，陈国通，等.区域电力系统最优备用容量模型与算法［J］.中国电机工程学报，2009，29（1）：14-20.
WU JieKang, SHI MeiJuan, CHEN GuoTong, et al. Immune genetic algorithms for modeling optimal reserve capacity of interconnected regional power systems［J］.Proceedings of the CSEE，2009，29（1）：14-20.
［9］蒋纬纬，丁坚勇.电力市场中的备用需求和备用调度［J］.电力建设，2003，24（1）：48-51.
JIANG Weiwei，DING Jianyong. Reserve demand and reserve dispatching in power market［J］. Electric Power Construction，2003，24（1）：48-51.
［10］胡泽春，占恺峤，徐智威，等.电动汽车与电网互动的关键问题分析与展望［J］.电力建设，2015，36（7）：6-13.
HU Zhechun，ZHAN Kaiqiao，XU Zhiwei，et al. Analysis and outlook on the key problems of electric vehicle and power grid interaction［J］. Electric Power Construction，2015，36（7）：6-13.
［11］李军军，吴政球，陈波，等.风力发电及其技术发展综述［J］.电力建设，2011，32（8）：64-72.
LI Junjun ，WU Zhengqiu，CHEN Bo，et al. Review of wind power generation and relative technology development［J］. Electric Power Construction，2011，32（8）：64-72.
［12］JANGAMSHETTI S H, RAU V. Optimum siting of wind turbine generators［J］.IEEE Transaction on Energy Conversion ,2001,16（1）：8-13.
［13］JANGAMSHETTI S H, RAU V. Site matching of wind turbine generators： A case of study［J］.IEEE Transaction on Energy Conversion,1999,14（4）：1537-1543.
［14］李东东，陈陈.风力发电系统动态仿真的风速模型［J］.中国电机工程学报，2005，25（21）：41-44.
LI Dongdong，CHEN Chen.Wind speed model for dynamic simulation of wind power generation system［J］.Proceedings of the CSEE，2005，25（21）：41-44.
［15］KARKI R, PATEL J. Reliability assessment of a wind power delivery system［J］. Proceedings of the Institution of Mechanical Engineers, 2009, 223（1）：51-58.
［16］张国权，王秀丽，王锡凡.电力市场中旋转备用的效益和成本分析［J］.电力系统与自动化，2000，21（11）：14-18.
ZHANG Guoquan，WANG Xiuli，WANG Xifan. Study on benefits and costs of spinning reserve capacity in power market［J］. Automation of Electrics Power Systems，2000，21：14-18.
［17］毛安家，熊超中，张粒子，等. 基于改进Tobit 模型的负荷停电损失估算方法［J］. 电力系统自动化，2010，34（9）：29-33.
MAO Anjia，XIONG Chaozhong， ZHANG Lizi，et al. A customer's outrage cost assessment approach based on the improved Tobit model ［J］. Automation of Electric Power Systems，2010，34（9）：29-33.

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