An Analysis of Economic Load Dispatch With Ramp Rate Limit Constraints Using Optimization Techniques
The Economic Load Dispatch (ELD) plays an important role in power system operation and control. The losses that occur in power system must be reduced in order to boost its overall performance. This study is to meet the objectives for solving ELD considering ramp rate limit constrain in order to reduce the cost of generating units and obtain an optimal solution at each generating unit. The ramp rate limit will ensure the generating units working at optimum to dispatch enough power in order to fulfil the load demands. This study shows successful implementation of two evolutionary algorithms, namely Particle Swarm Optimization (PSO) and Particle Swarm Optimization with Inertia Weight Factor Approach (PSOIWA). The effectiveness of the proposed method was implemented in case studies for different test system; IEEE-30 Bus System, IEEE-24 Bus System and IEEE-62 Bus System. Both algorithms have been used for each case study. The minimum fuel cost of each algorithm is compared for each case. Therefore, the main objective of this study is to compare the performance of the purposed method, PSO and PSOIWA. The viability of the purposed methods are analysed and compared based on its minimum fuel cost obtain and robustness of the convergence rate.
A.Pizano-Martínez, J.M.Lozano-García, E.A.Zamora-Cárdenas, H.J.Estrada-García, M.A.Gómez-Martínez (2015). Optimal Power Flow Analysis Considering Ramp Rate Limits of Generators. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, vol.4, no.2, pp. 1123–1132.
K. Chandrasekar and N. V Ramana (2011). Performance comparison of DE , PSO and GA approaches in Transmission Power Loss minimization using FACTS Devices. Int. J., vol. 33, no. 5, pp. 58–62.
K. Dasgupta (2016). Economic Load Dispatch with Prohibited Zone and Ramp Rate Limit Constraints. IEEE International Conference on Control, Measurement and Instrumentation (CMI). pp. 26–30.
M. González and J. Miguel (2016). An Updated Version of the IEEE RTS 24-Bus System for Electricity Market and Power System Operation Studies. Technical University of Denmark.
M. S. Hillier and F. S. Hillier (2000). Chapter 1 Conventional Optimization Techniques, Evolutionary Optimization (International Series in Operations Research & Management Science). eBook ISBN: Print ISBN: 0-306-48041-7 0-7923-7654-4.
N. Ghorbani and B. Adham (2015). Particle Swarm Optimization with Smart Inertia Factor for Combined Heat and Power Economic Dispatch. 30th International Power System Conference (PSC) Tehran, Iran, no. November, pp. 23–25.
O. Alsac and B. Stott (1974). Optimal load flow with steady state security. IEEE Trans, on Power Systems, 93:pp. 745-751.
O. Op, N. Mn, and K. Jg (2017). Electrical & Electronic Systems A Comparative Study of Meta-heuristics Algorithms in evaluation of Economic Load Dispatch Problems in Power Generating Station with Matlab Codes. vol. 6, no. 4, pp. 4–9.
P. M. Dash (2018). Economic Load Dispatch using Moderate Random Search PSO with Ramp Rate Limit Constraints. 2018 Technol. Smart-City Energy Secur. Power, pp. 1–4.
S. Gnanasekaran (2017). An Efficient ITA Algorithm to Solve Economic Load Dispatch with Valve Point Loading Effects. International Journal of Printing, Packaging & Allied Sciences, Vol. 5, No. 1.
S. Malival (2015). Study of Power System Security in Indian Utility 62 Bus System. International Journal of Engineering Research and Development (IJERD). pp. 36-45.
S. Sahoo, K. M. Dash, R. C. Prusty, and A. K. Barisal (2015). Comparative analysis of optimal load dispatch through evolutionary algorithms. Ain Shams Eng. J., vol. 6, no. 1, pp. 107–120.
Sengupta, S.; Basak, S.; Peters, R.A., (2019). II. Particle Swarm Optimization: A Survey of Historical and Recent Developments with Hybridization Perspectives. Mach. Learn. Knowl. Extr., 1, 157-191.
V. Vita (2017). Development of a decision-making algorithm for the optimum size and placement of distributed generation units in distribution networks. Energies, vol. 10, no. 9.
Y. S. Brar (2014). Economic load dispatch problem using Heuristic gravitational search algorithm. International Journal For Research In Applied Science, vol. 2, no. Vi, pp. 318–323.
Y. Valle, S. Member, G. K. Venayagamoorthy, S. Member, and R. G. Harley (2008). Particle Swarm Optimization : Basic Concepts , Variants and Applications in Power Systems, vol. 12, no. 2, pp. 171–195.