Mixed GA-OPF based optimal procurement of energy and operating reserve in deregulated environment

被引:2
作者
Banshwar, Anuj [1 ]
Sharma, Naveen Kumar [2 ]
Sharma, Bharat Bhushan [1 ]
Sood, Yog Raj [3 ]
Shrivastava, Rajnish [4 ]
机构
[1] NIET, EEE Dept, G Noida, UP, India
[2] Indra Kumar Gujral PTU, EE Dept, Batala, Punjab, India
[3] NIT, EE Dept, Hamirpur, HP, India
[4] CoE, Mahindra Ecole Cent, Hyderabad, Telangana, India
关键词
Electric power deregulation; genetic algorithm; optimal power flow; operating reserve; disaggregated approach; energy and AS market; ANCILLARY SERVICES; POWER; DISPATCH; MARKETS; SYSTEM;
D O I
10.3233/JIFS-169780
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Ancillary Services (AS) plays a vital role in a deregulated environment because these services act as the frontier of a power system. It helps to maintain the quality and safety of the supply. Operating Reserve (OR), as an important AS, has been considered in this work. This paper proposed a mixed Genetic Algorithm (GA)-Optimal Power Flow (OPF) mechanism can act as an effective tool for procurement of different services like energy and AS. The sequential clearing technique has been considered for procurement of Energy and OR an objective of cost minimization. Herein, the EM is cleared first in Energy Market (EM) followed by clearing of Operating Reserve Market (ORM). The proposed approach for obtaining the required service using mixed GA-OPF approach has been investigated by considering modified IEEE-30 bus test system.
引用
收藏
页码:4963 / 4969
页数:7
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