خلاصة:
This paper presents optimal congestion management in an electricity market using Firefly Algorithm
(FA) and Fuzzy mechanism. The FA is a meta-heuristic, nature-inspired, optimization algorithm which
is based on the social (flashing) behavior of fireflies, or lighting bugs, in the summer sky in the tropical temperature regions. Transmission pricing and congestion management are the key elements of a competitive electricity market based on direct access. They also focus of much of the debate concerning alternative approaches to the market design and the implementation of a common carrier electricity system. This paper focuses on the tradeoffs between simplicity and economic efficiency in meeting the objectives of a transmission pricing and congestion management scheme. The effectiveness of the proposed technique is applied on 30 and 118 bus IEEE standard power system in comparison with CPSO, PSO-TVAC and PSO-TVIW. The numerical results demonstrate that the proposed technique is better and superior than other compared methods.
ملخص الجهاز:
The effectiveness of the proposed technique is applied on 30 and 118 bus IEEE standard power system in comparison with CPSO, PSO-TVAC and PSO-TVIW.
A CONGESTED LINE ON THE IEEE 30-BUS SYSTEM 30 26 25 23 24 15 14 16 12 11 G6 18 19 17 20 21 22 10 9 The values of GS for 6 generation units are presented in Table.
A CONGESTED LINE ON THE IEEE 118-BUS 30 SYSTEM 20 10 0 -10 Congested line Active power flow (MW) Line limit (MVA) Overload (MW) -20 -30 -40 -50 -60 -70 P1 P2 P5 P 8 CPSO PSO-TVIW PSO-TVAC FA GS*20 P11 P13 89 to 90 260 200 60 In this case, the numerical and diagram results of GS values are presented in "Table.
100CPSO 80 PSO-TVIW PSO-TVAC 60 FA 40 GS*e-4 20 0 -20 -40 -60 -80 1 85 87 89 90 91 The proposed FA technique over the IEEE 118-bus power system is compared with other meta-heuristic algorithms in "Table.
GS values and power re-dispatch on the IEEE 118- bus system According to the presented results, it is clear that the proposed technique is superior and better than the other compared techniques in optimization problem of congestion management in electricity market regarding to distribution network constraints to reduce cost and increase efficiency and security of power system distribution network.
In this research hybrid FA and fuzzy mechanism technique is applied for optimization problem of congestion management in electricity market regarding to distribution network constraints to reduce cost and increase efficiency and security of power system distribution network.