电力建设2017，Vol.38Issue(4)：26-33,8.DOI:10.3969/j.issn.1000-7229.2017.04.004
计及自然灾害风险的输电系统多场景规划方法
Multiple Scenarios Based Transmission System Planning Considering Natural Disaster Risks
摘要
Abstract
Severe natural disasters may result in significant risks to the secure operation of a power system concerned.Hence, it is necessary to study the measures and methods for enhancing the capability of the power system to cope with natural disasters, and this is an important part in building a resilient power system.A fundamental measure of upgrading the resilience of a power system is to strengthen its structure, therefore it is an important research issue to develop transmission system planning methods with natural disasters as well as reasonable compromise between investment costs and risk losses well taken into account.Given this background, a mixed integer nonlinear programming model for transmission system planning is developed to comprehensively evaluate the economics of network investment and system operation, the reliability under normal system operation and the suffered risk under natural disasters.Two sets of representative scenarios are then generated to respectively describe the situations with fluctuant wind power outputs and random load variances as well as the ones with natural disasters, and are respectively employed to check security constraints and evaluate the risk concerned.The well-established particle swarm optimization algorithm is next employed to solve the presented optimization model under the hierarchical optimization framework.Finally, a typical 18-node sample power system is served for demonstrating the essential features of the developed method.关键词
输电系统规划/自然灾害风险/场景分析/预想事故场景筛选/分层优化Key words
transmission system planning/natural disaster risk/scenario analysis/contingency scenario screening/hierarchical optimization分类
信息技术与安全科学引用本文复制引用
谭嫣,杨婉,文福拴,李力,杨银国,华威..计及自然灾害风险的输电系统多场景规划方法[J].电力建设,2017,38(4):26-33,8.基金项目
国家自然科学基金项目 (51477151) （51477151）
广东电网有限责任公司科技项目(GDKJQQ20153001) （GDKJQQ20153001）
Project supported by National Natural Science Foundation of China (51477151) （51477151）
Guangdong Power Grid Co., Ltd.Program (GDKJQQ20153001) （GDKJQQ20153001）
