Voltage Security-Constrained Optimal Generation Rescheduling for Available Transfer Capacity Enhancement in Deregulated Electricity Markets

Oludamilare Bode Adewuyi, Mikaeel Ahmadi, Isaiah Opeyemi Olaniyi, Tomonobu Senjyu, Temitayo Olayemi Olowu and Paras Mandal
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Oludamilare Bode Adewuyi: Graduate School of Science and Engineering, University of the Ryukyus, Okinawa 903-0213, Japan
Mikaeel Ahmadi: Graduate School of Science and Engineering, University of the Ryukyus, Okinawa 903-0213, Japan
Isaiah Opeyemi Olaniyi: Faculty of Engineering, Ladoke Akintola University of Technology, PMB 4000, Ogbomoso 210214, Nigeria
Tomonobu Senjyu: Graduate School of Science and Engineering, University of the Ryukyus, Okinawa 903-0213, Japan
Temitayo Olayemi Olowu: Department of Electronic and Electrical Engineering, Obafemi Awolowo University, Ile-Ife 220282, Nigeria
Paras Mandal: Department of Electrical and Computer Engineering, University of Texas at El Paso, Texas, TX 79968, USA

Energies, 2019, vol. 12, issue 22, 1-16

Abstract: Modern utilities are forced to operate very close to their loadable limits (maximum capacity) due to geographical, economical and some technical reasons. The deregulation of the power industry, the competitive nature of modern electricity markets and the continuous quest for modernization of cities and hamlets all over the world has also led to fast increase in the load demand. The stability of power systems all over the world are threatened with recurrent occurrences of voltage stability issues. Hence, Inter-zonal energy transactions between willing supplier and buyers need to be done with adequate consideration for power system security. In this work, a voltage security-constrained optimal generator active and reactive power rescheduling is carried out using the IEEE 30 and IEEE 57 bus systems. The simultaneous maximization of available transfer capacity (ATC) and voltage stability margin (VSM), using the weighted sum approach, is the objective function. Credible optimal power flow and power system security constraints are considered. Three variants of particle swarm optimization in MATLAB ® are used in this work for analyzing the results for objectivity. The technical and economic benefits of the optimal generator rescheduling on the system’s ATC, VSM, line losses, line flow and voltage profile are adequately analyzed.

Keywords: deregulated electricity market; available transfer capacity; critical boundary index; voltage security-constrained OPF; weighted sum algorithm; particle swarm optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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