基于安全等级的电网最优安全经济域研究

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (389 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Firstly, this paper establishes the grid’s security hierarchy standard considering transmission margin. With the constraint of network loss, a multi-objective model is built which consists of the power generation cost and the balance degree of the power grid. Secondly, nodal net injection uncertainty is simulated by random numbers obeying normal distribution. Then the improved multi-objective bacterial colony chemotaxis (MOBCC) optimization algorithm is used to obtain the Pareto optimal solutions. The optimal solutions form the optimal economic operation curves with zero difference curres. Then according to the sate level demand for security and economy of power grid, the farther point pair to define the initiate enclosing disk of incremental algorithm (FIIA) is adopcled to obtain the optimal security economic region. The evaluation indexes of security and economy are defined to refect the security and economy positions in the whole intervals. Finally the results show that both security and economy can be obtained by the proposed method. The improvement of economy under the premise of network security is of practical significance to realize the safe and economic operation of power grid.

Key words： Security classification coordination multi-objective bacterial colony chemotaxis initiate enclosing disk of incremental algorithm the optimal security and economic region

Received: 28 September 2013 Published: 30 October 2015

PACS:

TM732

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Lu Zhigang
	Liu Yane
	Ma Liye
	Li Xueping

Cite this article:

Lu Zhigang,Liu Yane,Ma Liye等. The Optimal Security and Economic Region Study Based on the Security Hierarchy[J]. Transactions of China Electrotechnical Society, 2015, 30(20): 210-218.

URL:

https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2015/V30/I20/210

[1] 张保会, 王立永, 谭伦农, 等. 基于经济当量的市场环境下电网公司安全性的经济化实现[J]. 中国电机工程学报, 2006, 26(7): 107-112.
Zhang Baohui, Wang Liyong, Tan Lunnong, et al. Grid companies security realization based on economic equivalent in power market environment[J]. Proceedings of the CSEE, 2006, 26(7): 107-112.
[2] 吴耀武, 娄素华, 余永泉, 等. 电力市场环境下输电线路过载风险评估[J]. 电工技术学报, 2012, 27(2): 198-203.
Wu Yaowu, Lou Suhua, Yu Yongquan, et al. Overload risk assessment of power transmission line under power electrical market environment[J]. Transactions of China Electrotechnical Society, 2012, 27(2): 198-203.
[3] Jabr R A. Robust self-scheduling under price uncertainty using conditional value-at-risk[J]. IEEE Transactions on Power Systems, 2005, 20(4): 1852-1858.
[4] 孙欣, 吕跃春, 高军, 等. 电网经济性与安全性的精益化协调方法[J]. 电网技术, 2009, 33(11): 12-17.
Sun Xin, Lü Yuechun, Gao Jun, et al. Power grid economy and security coordination lean method[J]. Power System Technology, 2009, 33(11): 12-17.
[5] 王楠, 张粒子, 黄巍, 等. 电力系统安全经济调度网损协调优化方法[J]. 电网技术, 2010, 34(10): 105-108.
Wang Nan, Zhang Lizi, Huang Wei, et al. Coordinative optimization of network loss in security-constrained economic dispatching[J]. Power System Technology, 2010, 34(10): 105-108.
[6] 刘若溪, 张建华, 苏玲, 等. 地区电网输电安全水平在线评估算法与系统设计[J]. 电网技术, 2011, 35(4): 46-52.
Liu Ruoxi, Zhang Jianhua, Su Ling, et al. An on-line assessment algorithm of transmission security level for regional power grid and its design[J]. Power System Technology, 2011, 35(4): 46-52.
[7] 谢国辉, 张粒子, 舒隽, 等. 求解互联电网经济调度的层级协调方法[J]. 电工技术学报, 2010, 25(4): 176-182.
Xie Guohui, Zhang Lizi, Shu Jun, et al. Economic dispatching of interconnected power systems based on hierarchy coordination method[J]. Transactions of China Electrotechnical Society, 2010, 25(4): 176-182.
[8] Liang R H, Liao J H. A fuzzy-optimization approach for generation scheduling with wind and solar energy systems[J]. IEEE Transations on Power Systems, 2007, 22(4): 1665-1674.
[9] Streifert D, Philbrick R, Ott A. A mixed integer programming solution for market clearing and reliability analysis[J]. IEEE Transations on Power Systems, 2005, 4(21): 1127-1135.
[10] 喻洁, 黄学良, 夏安邦. 基于分区协调优化的环境经济调度策略[J]. 电工技术学报, 2010, 25(1): 129-136.
Yu Jie, Huang Xueliang, Xia Anbang. Environmental economic dispatch based on sub-area coordinated optimization[J]. Transactions of China Electrotechnical Society, 2010, 25(1): 129-136.
[11] 郑晓, 张静, 马韬韬, 等. 基于改进决策方法的电力系统多目标优化调度[J]. 电工技术学报, 2010, 25(9): 151-156.
Zheng Xiao, Zhang Jing, Ma Taotao, et al. Power system multi-objective optimization dispatch based on an improved decision-making method[J]. Transactions of China Electrotechnical Society, 2010, 25(9): 151-156.
[12] Rao B S, Vaisakh K. Multi-objective adaptive Clonal selection algorithm for solving environmental/
economic dispatch and OPF problems with load uncertainty[J]. Electrical Power and Energy Systems, 2013, 53(4): 390-408.
[13] 卢志刚, 魏国华, 朱连波, 等. 线路损失的灵敏度分析和参数综合优化[J]. 高电压技术, 2010, 26(5): 1311-1316.
Lu Zhigang, Wei Guohua, Zhu Lianbo, et al. Sensitivity analysis of line losses and parameter’s comprehensive optimization[J]. High Voltage Engineering, 2010, 26(5): 1311-1316.
[14] 卢志刚, 魏国华, 鲍锋. 基于网损灵敏度和经济运行区间的线路改造选型[J]. 电力系统自动化, 2010, 34(17): 27-31.
Lu Zhigang, Wei Guohua, Bao Feng. Line reconstruction selection based on loss sensitivity and economical operation range[J]. Automation of Electric Power Systems, 2010, 34(17): 27-31.
[15] 王君亮, 章建, 姚敏昌. 电网调度中运行时段的最优划分方法[J]. 电网技术, 2007, 31(S2): 400-401.
Wang Junliang, Zhang Jian, Yao Minchang. Optimizing division of operating period in power grid dispatching[J]. Power System Technology, 2007, 31(S2): 400-401.
[16] 颜伟, 吕志盛, 李佐君, 等. 输电网的蒙特卡罗模拟与线损概率评估[J]. 中国电机工程学报, 2007, 27(34): 39-45.
Yan Wei, Lü Zhisheng, Li Zuojun, et al. Monte carlo simulation and transmission loss evaluation with probabilistic method[J]. Proceedings of the CSEE, 2007, 27(34): 39-45.
[17] 傅旭, 王锡凡. 考虑负荷随机特性的静态安全校正控制算法[J]. 电工技术学报, 2008, 23(1): 114-119.
Fu Xu, Wang Xifan. A corrective control method considering load stochastic characteristic[J]. Trans
18 actions of China Electrotechnical Society, 2008, 23(1): 114-119.
[18] Lu Zhigang, Feng Tao, Li Xueping. Low-carbon emission/economic power dispatch using the multi-objective bacterial colony chemotaxis optimization algorithm considering carbon capture power plant[J]. Electrical Power and Energy Systems, 2013, 53(4): 106-112.
[19] Cheng Huilin, Lu Zhigang, Sun Songqiang. Multi-objective optimization using bacterial colony chemo- taxis[C]. 2011 IEEE International Conference on Intelligent Computing and Intelligent Systems, 2011: 11-17.
[20] 李红军, 张晓鹏. 离散点集最小包围圆算法分析与改进[J]. 图学学报, 2012, 33(2): 34-38.
Li Hongjun, Zhang Xiaopeng. Analysis and improvement of smallest enclosing disk algorithm on discrete set of points[J]. Journal of Graphics, 2012, 33(2): 34-38.
[21] 邱丽萍, 范明天. 城市电网最大供电能力评价算法[J]. 电网技术, 2006, 30(9): 68-71.
Qiu Liping, Fan Mingtian. A new algorithm to evaluate maximum power supply capability of urban
22 distribution network[J]. Power System Technology, 2006, 30(9): 68-71.
[22] 严学峰, 余娟, 钱峰. 自适应变异差分进化算法估计软测量参数[J]. 控制理论与应用, 2006, 23(5): 744-748.
Yan Xuefeng, Yu Juan, Qian Feng. Adaptive mutation differential evolution algorithm and its appli- cation to estimate soft sensor parameters[J]. Control Theory and Applications, 2006, 23(5): 744-748.
[23] 黄海涛, 郑华, 张粒子. 基于改进粒子群算法的可用输电能力研究[J]. 中国电机工程学报, 2006, 26(20): 45-49.
Huang Haitao, Zheng Hua, Zhang Lizi. Study of available transfer capability based on improved particle swarm optimization[J]. Proceedings of the CSEE, 2006, 26(20): 45-49.
[24] 谭伦农, 张保会, 周亦山. PX市场中交易电量的优化确定[J]. 电力系统自动化, 2003, 27(6): 19-22.
Tan Lunnong, Zhang Baohui, Zhou Yishan. Economic determinationof market clearing quantity of electricity in power exchange[J]. Automation of Electric Power Systems, 2003, 27(6): 19-22.
[25] Frank R H, Bernanke B, Johnston L. Principles of micro-economics [M]. Boston: McGraw-Hill Irwin, 2009.