电力建设2018,Vol.39Issue(6):105-116,12.DOI:10.3969/j.issn.1000-7229.2018.06.014
考虑风电消纳能力的电-气集成系统多目标运行优化
Multi-objective Operation Optimization for Integrated Electricity and Gas Systems Considering the Accommodation Capability of Wind Power
摘要
Abstract
An integrated electric power and natural gas system,as a special example of an integrated energy system,is of great potential for promoting the accommodating capability of intermittent renewable energy generation through flexible operation of various energy carriers.However,the overall operation cost and energy transmission loss may suffer from significant changes depending on the penetration level of renewable energy sources.It is necessary to study the multi-objective optimal operation strategy for integrated electric power and gas systems considering the accommodation of wind power generation.First,a multi-objective operation optimization model is established by minimizing the operation cost,wind power curtailment and energy loss of the integrated electric power and gas system.Then,the nonlinear constraints are simplified by piecewise linearization,and the original mixed integer nonlinear planning model is then transformed into a mixed integer linear planning one.Moreover,the multi-objective optimization technique based on the augmented e-constraint method is employed to solve the model,and the fuzzy comprehensive evaluation is employed to find the compromised optimal solution from the attained Pareto optimal solutions.Finally,an integrated and revised version of the IEEE 39-bus power system and the Belgium 20-bus natural gas system is served to demonstrate the feasibility and efficiency of the proposed method.关键词
电-气集成系统/风电消纳/电转气技术/多目标优化/协调运行Key words
integrated electric power and gas system/accommodating capability of wind power/power to gas (PtG) technology/multi-objective optimization/coordinated operation分类
信息技术与安全科学引用本文复制引用
王珂,王芃,许苑,刘伟佳,文福拴,林振智..考虑风电消纳能力的电-气集成系统多目标运行优化[J].电力建设,2018,39(6):105-116,12.基金项目
国家重点研发计划项目(2017YFB0903000) (2017YFB0903000)
国家自然科学基金项目(51477151) (51477151)
广州供电局有限公司科技项目(GZHKJXM20160034)This work is supported by National Key Research and Development Program of China (No.2017YFB0903000) (GZHKJXM20160034)
National Natural Science Foundation of China(No.51477151) and a Project from Guangzhou Power Supply Bureau Co.,Ltd.(No.GZHKJXM20160034). (No.51477151)