Multi-objective generation dispatch considering the trade-off between economy and security

被引:7
|
作者
Qiu, Jing [1 ]
Zhao, Junhua [2 ]
Wang, Dongxiao [3 ]
机构
[1] Univ Sydney, Sch Elect & Informat Engn, Camperdown, NSW 2006, Australia
[2] Chinese Univ Hong Kong, Shenzhen 518100, Guangdong, Peoples R China
[3] Univ Newcastle, Ctr Intelligent Elect Networks, Callaghan, NSW 2308, Australia
基金
中国国家自然科学基金;
关键词
load dispatching; load flow; power system security; power system economics; multiobjective generation dispatch; security-constrained optimal power flow; security objectives; deterministic N-1 security criterion; risk index; multiobjective evolutionary algorithm; IEEE 24-bus systems; stochastic variations; OPTIMAL POWER-FLOW; DEMAND RESPONSE; WIND GENERATION; ENERGY; SYSTEM; ALGORITHM; LOAD;
D O I
10.1049/iet-gtd.2017.0337
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This study presents a multi-objective generation dispatch model based on security-constrained optimal power flow, in order to handle the contradictory economic and security objectives. In addition to the deterministic N-1 security criterion, a risk index is proposed to quantify the system security degree on a probabilistic basis. The risk index is defined as the summation of the products of the contingency probability and the associated severity function. Moreover, the cost of interruptible load is added into the generation cost, formulating the economic objective. In the meantime, wind power outputs and load variations are considered as uncertainties in the dispatch process. Furthermore, a multi-objective evolutionary algorithm is employed and developed to provide a set of trade-off solutions. The proposed approach is verified by the 4-bus and IEEE 24-bus systems. Numerical results show that the proposed approach can effectively investigate the impacts of demand response on system economy and security. The obtained Pareto optimal solutions are less likely to incur insecurity risk and are robust to the studied stochastic variations.
引用
收藏
页码:633 / 642
页数:10
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