| 引用本文: | 张思德,胡伟,卫志农,孙国强,臧海祥,陈胜.基于机会约束规划的电气互联综合能源系统随机最优潮流[J].电力自动化设备,2018,(9): |
| ZHANG Side,HU Wei,WEI Zhinong,SUN Guoqiang,ZANG Haixiang,CHEN Sheng.Stochastic optimal power flow of integrated power and gas energy system based on chance-constrained programming[J].Electric Power Automation Equipment,2018,(9): |
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| 摘要: |
| 综合能源系统是未来能源利用的发展趋势，其中电力系统和天然气系统的联系最为紧密，但随机因素的增加也给综合能源系统的安全稳定运行带来了挑战。针对电-气互联综合能源系统的最优潮流问题，考虑风电场出力的随机性以及电力负荷、天然气负荷的随机性，建立其机会约束规划模型，并采用基于半不变量法和内点法的启发式算法进行求解。采用修改的IEEE 30节点电力网络与比利时20节点天然气网络构建电-气互联综合能源系统，分析比较了不同置信度水平和不同波动性情形下系统运行状态以及运行成本的变化，并与确定性情形对比，结果表明机会约束规划模型有助于提高电-气互联综合能源系统运行的安全性。 |
| 关键词: 电-气互联综合能源系统 电力系统 天然气系统 随机最优潮流 机会约束规划 半不变量 启发式算法 模型 |
| DOI：10.16081/j.issn.1006-6047.2018.09.018 |
| 分类号:TM761 |
| 基金项目:国家自然科学基金资助项目(51877071)；江苏省自然科学基金资助项目(BK20171433)；国网江苏省电力有限公司科技项目 |
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| Stochastic optimal power flow of integrated power and gas energy system based on chance-constrained programming |
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ZHANG Side1, HU Wei2, WEI Zhinong1, SUN Guoqiang1, ZANG Haixiang1, CHEN Sheng1
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1.College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China;2.State Grid Jiangsu Electric Power Co.,Ltd.,Nanjing 210024, China
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| Abstract: |
| The integrated energy system is the development trend of future energy utilization, among which the connection between the electric power systems and the natural-gas systems is the closest. However, the increasing random factors bring new challenges to the safe and stable operation of the integrated energy system. Aiming at the optimal power flow of the integrated power and natural-gas energy system, a chance-constrained programming model is established considering the randomness of wind farm output, power load and natural-gas load, which is solved by the heuristic algorithm based on the cumulant method and the interior point method. An integrated power and gas energy system based on the modified IEEE 30-bus power system and the Belgian 20-bus natural-gas network is constructed, whose operation states and costs under different confidence levels and volatility situations are analyzed and compared. Compared with the deterministic situation, simulative results show that the proposed chance-constrained programming model is helpful to improve the operation safety of the integrated power and gas energy system. |
| Key words: integrated power and gas energy system electric power systems natural-gas system stochastic optimal power flow chance-constrained programming cumulant heuristic algorithm models |
