DOI Prefix : 10.9780 | Journal DOI : 10.9780/22307850
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Volume : IV, Issue : V, June - 2014

APPLICATION OF DE BASED WAFGP IN MULTI OBJECTIVE OPTIMAL POWER FLOW USING TCSC

R. Vanitha, J. Baskaran M. Sudhakaran

DOI : 10.9780/22307850, By : Laxmi Book Publication

Abstract :

This paper proposes the application of Differential Evolution (DE) algorithm based Weighted Additive Fuzzy Goal Programming (WAFGP) in solving a Multi objective Optimal Power Flow (MOPF) problem. The multiple objectives considered are maximizing the loadability, minimizing the total real power loss and minimizing the overall system cost which comprises of installation cost of FACTS devices and gen eration fuel cost. The optimal solution for this MOPF problem is obtained by optimally sizing and placing a Thyristor Controlled Series Capacitor (TCSC) in the power system. The constraints considered in this MOPF are the generators’ real and reactive power limits and their voltage limits, transmission lines’ loading capability limits, TCSC limits along with system’s equality and inequality constraints. The Line Stability Index (LSI) is used to determine the critically loaded transmission lines in the power system. IEEE 30 bus system is used for testing and validating the results.

Keywords :


    Article :


    Cite This Article :

    R. Vanitha, J. Baskaran M. Sudhakaran (2014). APPLICATION OF DE BASED WAFGP IN MULTI OBJECTIVE OPTIMAL POWER FLOW USING TCSC. Indian Streams Research Journal, Vol. IV, Issue. V, DOI : 10.9780/22307850, http://isrj.org/UploadedData/4908.pdf

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    116. bacterial foraging algorithm approach for optimal power flow problem including FACTS devices considering system loadability. ISA Transactions Elsevier Publication, 52, 622-628.
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    127. bacterial foraging algorithm approach for optimal power flow problem including FACTS devices considering system loadability. ISA Transactions Elsevier Publication, 52, 622-628.
    128. Rashed, Ghamgeen I., Yuanzhang Sun, Shaheen, H.I., (2012). Optimal location and parameter setting of TCSC for Loss Minimization based on Differential Evolution and Genetic Algorithm. In proc.of International conference on Medical Physics and Biomedical Engineering, 1864 – 1878.
    129. Rashed, Ghamgeen I., Yuanzhang Sun, Shaheen, H.I., (2012). Optimal location and parameter setting of TCSC for Loss Minimization based on Differential Evolution and Genetic Algorithm. In proc.of International conference on Medical Physics and Biomedical Engineering, 1864 – 1878.
    130. bacterial foraging algorithm approach for optimal power flow problem including FACTS devices considering system loadability. ISA Transactions Elsevier Publication, 52, 622-628.
    131. Belwin Edward, J. , Rajasekar, N., Sathiyasekar , K., Senthilnathan , N., & Sarjila, R., (2013).An enhanced
    132. Belwin Edward, J. , Rajasekar, N., Sathiyasekar , K., Senthilnathan , N., & Sarjila, R., (2013).An enhanced
    133. Sreejith, S., Chandrasekaran, K., & Simon, S. P., (2009).Touring Ant Colony Optimization technique for optimal flow incorporating thyristor controlled series compensator . In proc. of World Congress on Nature and Biologically inspired Computing (NABIC), 1127 – 1132.
    134. Mathur, R.M., & Varma, R.K., (2012). Thyristor – based FACTS controllers for electrical transmission systems.IEEE press Series on Power Engineering, John Wiley & sons, Inc. Publication
    135. Rashed, Ghamgeen I., Yuanzhang Sun, Shaheen, H.I., (2012). Optimal location and parameter setting of TCSC for Loss Minimization based on Differential Evolution and Genetic Algorithm. In proc.of International conference on Medical Physics and Biomedical Engineering, 1864 – 1878.
    136. Rashed, Ghamgeen I., Yuanzhang Sun, Shaheen, H.I., (2012). Optimal location and parameter setting of TCSC for Loss Minimization based on Differential Evolution and Genetic Algorithm. In proc.of International conference on Medical Physics and Biomedical Engineering, 1864 – 1878.
    137. bacterial foraging algorithm approach for optimal power flow problem including FACTS devices considering system loadability. ISA Transactions Elsevier Publication, 52, 622-628.
    138. Rashed, Ghamgeen I., Yuanzhang Sun, Shaheen, H.I., (2012). Optimal location and parameter setting of TCSC for Loss Minimization based on Differential Evolution and Genetic Algorithm. In proc.of International conference on Medical Physics and Biomedical Engineering, 1864 – 1878.
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    140. Saravanan, M., Mary Raja Slochanal, S., Venkatesh, P., & Prince Stephen Abraham, J., (2007) .Application of particle swarm optimization technique for optimal location of FACTS devices considering cost of installation and system loadability. Electric Power Systems Research, 77(3-4), 276–283.
    141. bacterial foraging algorithm approach for optimal power flow problem including FACTS devices considering system loadability. ISA Transactions Elsevier Publication, 52, 622-628.
    142. bacterial foraging algorithm approach for optimal power flow problem including FACTS devices considering system loadability. ISA Transactions Elsevier Publication, 52, 622-628.
    143. Sreejith, S., Chandrasekaran, K., & Simon, S. P., (2009).Touring Ant Colony Optimization technique for optimal flow incorporating thyristor controlled series compensator . In proc. of World Congress on Nature and Biologically inspired Computing (NABIC), 1127 – 1132.
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    148. bacterial foraging algorithm approach for optimal power flow problem including FACTS devices considering system loadability. ISA Transactions Elsevier Publication, 52, 622-628.
    149. Saravanan, M., Mary Raja Slochanal, S., Venkatesh, P., & Prince Stephen Abraham, J., (2007) .Application of particle swarm optimization technique for optimal location of FACTS devices considering cost of installation and system loadability. Electric Power Systems Research, 77(3-4), 276–283.
    150. Sreejith, S., Chandrasekaran, K., & Simon, S. P., (2009).Touring Ant Colony Optimization technique for optimal flow incorporating thyristor controlled series compensator . In proc. of World Congress on Nature and Biologically inspired Computing (NABIC), 1127 – 1132.
    151. bacterial foraging algorithm approach for optimal power flow problem including FACTS devices considering system loadability. ISA Transactions Elsevier Publication, 52, 622-628.
    152. bacterial foraging algorithm approach for optimal power flow problem including FACTS devices considering system loadability. ISA Transactions Elsevier Publication, 52, 622-628.
    153. Mathur, R.M., & Varma, R.K., (2012). Thyristor – based FACTS controllers for electrical transmission systems.IEEE press Series on Power Engineering, John Wiley & sons, Inc. Publication
    154. Rashed, Ghamgeen I., Yuanzhang Sun, Shaheen, H.I., (2012). Optimal location and parameter setting of TCSC for Loss Minimization based on Differential Evolution and Genetic Algorithm. In proc.of International conference on Medical Physics and Biomedical Engineering, 1864 – 1878.
    155. Hingorani, N.G., & Gyugyi, L., (1999) Understanding FACTS.The Institution of Electrical and Electronics Engineers
    156. bacterial foraging algorithm approach for optimal power flow problem including FACTS devices considering system loadability. ISA Transactions Elsevier Publication, 52, 622-628.
    157. bacterial foraging algorithm approach for optimal power flow problem including FACTS devices considering system loadability. ISA Transactions Elsevier Publication, 52, 622-628.
    158. Belwin Edward, J. , Rajasekar, N., Sathiyasekar , K., Senthilnathan , N., & Sarjila, R., (2013).An enhanced
    159. Belwin Edward, J. , Rajasekar, N., Sathiyasekar , K., Senthilnathan , N., & Sarjila, R., (2013).An enhanced
    160. Sreejith, S., Chandrasekaran, K., & Simon, S. P., (2009).Touring Ant Colony Optimization technique for optimal flow incorporating thyristor controlled series compensator . In proc. of World Congress on Nature and Biologically inspired Computing (NABIC), 1127 – 1132.
    161. Sreejith, S., Chandrasekaran, K., & Simon, S. P., (2009).Touring Ant Colony Optimization technique for optimal flow incorporating thyristor controlled series compensator . In proc. of World Congress on Nature and Biologically inspired Computing (NABIC), 1127 – 1132.
    162. Rashed, Ghamgeen I., Yuanzhang Sun, Shaheen, H.I., (2012). Optimal location and parameter setting of TCSC for Loss Minimization based on Differential Evolution and Genetic Algorithm. In proc.of International conference on Medical Physics and Biomedical Engineering, 1864 – 1878.
    163. Hingorani, N.G., & Gyugyi, L., (1999) Understanding FACTS.The Institution of Electrical and Electronics Engineers
    164. Mathur, R.M., & Varma, R.K., (2012). Thyristor – based FACTS controllers for electrical transmission systems.IEEE press Series on Power Engineering, John Wiley & sons, Inc. Publication
    165. bacterial foraging algorithm approach for optimal power flow problem including FACTS devices considering system loadability. ISA Transactions Elsevier Publication, 52, 622-628.
    166. Belwin Edward, J. , Rajasekar, N., Sathiyasekar , K., Senthilnathan , N., & Sarjila, R., (2013).An enhanced
    167. Mathur, R.M., & Varma, R.K., (2012). Thyristor – based FACTS controllers for electrical transmission systems.IEEE press Series on Power Engineering, John Wiley & sons, Inc. Publication
    168. Sreejith, S., Chandrasekaran, K., & Simon, S. P., (2009).Touring Ant Colony Optimization technique for optimal flow incorporating thyristor controlled series compensator . In proc. of World Congress on Nature and Biologically inspired Computing (NABIC), 1127 – 1132.
    169. bacterial foraging algorithm approach for optimal power flow problem including FACTS devices considering system loadability. ISA Transactions Elsevier Publication, 52, 622-628.
    170. Mathur, R.M., & Varma, R.K., (2012). Thyristor – based FACTS controllers for electrical transmission systems.IEEE press Series on Power Engineering, John Wiley & sons, Inc. Publication
    171. Rashed, Ghamgeen I., Yuanzhang Sun, Shaheen, H.I., (2012). Optimal location and parameter setting of TCSC for Loss Minimization based on Differential Evolution and Genetic Algorithm. In proc.of International conference on Medical Physics and Biomedical Engineering, 1864 – 1878.
    172. Rashed, Ghamgeen I., Yuanzhang Sun, Shaheen, H.I., (2012). Optimal location and parameter setting of TCSC for Loss Minimization based on Differential Evolution and Genetic Algorithm. In proc.of International conference on Medical Physics and Biomedical Engineering, 1864 – 1878.
    173. Sreejith, S., Chandrasekaran, K., & Simon, S. P., (2009).Touring Ant Colony Optimization technique for optimal flow incorporating thyristor controlled series compensator . In proc. of World Congress on Nature and Biologically inspired Computing (NABIC), 1127 – 1132.
    174. Belwin Edward, J. , Rajasekar, N., Sathiyasekar , K., Senthilnathan , N., & Sarjila, R., (2013).An enhanced
    175. Mathur, R.M., & Varma, R.K., (2012). Thyristor – based FACTS controllers for electrical transmission systems.IEEE press Series on Power Engineering, John Wiley & sons, Inc. Publication
    176. Saravanan, M., Mary Raja Slochanal, S., Venkatesh, P., & Prince Stephen Abraham, J., (2007) .Application of particle swarm optimization technique for optimal location of FACTS devices considering cost of installation and system loadability. Electric Power Systems Research, 77(3-4), 276–283.
    177. bacterial foraging algorithm approach for optimal power flow problem including FACTS devices considering system loadability. ISA Transactions Elsevier Publication, 52, 622-628.
    178. Hingorani, N.G., & Gyugyi, L., (1999) Understanding FACTS.The Institution of Electrical and Electronics Engineers
    179. Belwin Edward, J. , Rajasekar, N., Sathiyasekar , K., Senthilnathan , N., & Sarjila, R., (2013).An enhanced
    180. Saravanan, M., Mary Raja Slochanal, S., Venkatesh, P., & Prince Stephen Abraham, J., (2007) .Application of particle swarm optimization technique for optimal location of FACTS devices considering cost of installation and system loadability. Electric Power Systems Research, 77(3-4), 276–283.
    181. Saravanan, M., Mary Raja Slochanal, S., Venkatesh, P., & Prince Stephen Abraham, J., (2007) .Application of particle swarm optimization technique for optimal location of FACTS devices considering cost of installation and system loadability. Electric Power Systems Research, 77(3-4), 276–283.
    182. bacterial foraging algorithm approach for optimal power flow problem including FACTS devices considering system loadability. ISA Transactions Elsevier Publication, 52, 622-628.
    183. Rashed, Ghamgeen I., Yuanzhang Sun, Shaheen, H.I., (2012). Optimal location and parameter setting of TCSC for Loss Minimization based on Differential Evolution and Genetic Algorithm. In proc.of International conference on Medical Physics and Biomedical Engineering, 1864 – 1878.
    184. Mathur, R.M., & Varma, R.K., (2012). Thyristor – based FACTS controllers for electrical transmission systems.IEEE press Series on Power Engineering, John Wiley & sons, Inc. Publication
    185. bacterial foraging algorithm approach for optimal power flow problem including FACTS devices considering system loadability. ISA Transactions Elsevier Publication, 52, 622-628.
    186. Saravanan, M., Mary Raja Slochanal, S., Venkatesh, P., & Prince Stephen Abraham, J., (2007) .Application of particle swarm optimization technique for optimal location of FACTS devices considering cost of installation and system loadability. Electric Power Systems Research, 77(3-4), 276–283.
    187. bacterial foraging algorithm approach for optimal power flow problem including FACTS devices considering system loadability. ISA Transactions Elsevier Publication, 52, 622-628.
    188. Saravanan, M., Mary Raja Slochanal, S., Venkatesh, P., & Prince Stephen Abraham, J., (2007) .Application of particle swarm optimization technique for optimal location of FACTS devices considering cost of installation and system loadability. Electric Power Systems Research, 77(3-4), 276–283.
    189. Hingorani, N.G., & Gyugyi, L., (1999) Understanding FACTS.The Institution of Electrical and Electronics Engineers
    190. Rashed, Ghamgeen I., Yuanzhang Sun, Shaheen, H.I., (2012). Optimal location and parameter setting of TCSC for Loss Minimization based on Differential Evolution and Genetic Algorithm. In proc.of International conference on Medical Physics and Biomedical Engineering, 1864 – 1878.
    191. Belwin Edward, J. , Rajasekar, N., Sathiyasekar , K., Senthilnathan , N., & Sarjila, R., (2013).An enhanced
    192. Saravanan, M., Mary Raja Slochanal, S., Venkatesh, P., & Prince Stephen Abraham, J., (2007) .Application of particle swarm optimization technique for optimal location of FACTS devices considering cost of installation and system loadability. Electric Power Systems Research, 77(3-4), 276–283.
    193. Sreejith, S., Chandrasekaran, K., & Simon, S. P., (2009).Touring Ant Colony Optimization technique for optimal flow incorporating thyristor controlled series compensator . In proc. of World Congress on Nature and Biologically inspired Computing (NABIC), 1127 – 1132.
    194. Saravanan, M., Mary Raja Slochanal, S., Venkatesh, P., & Prince Stephen Abraham, J., (2007) .Application of particle swarm optimization technique for optimal location of FACTS devices considering cost of installation and system loadability. Electric Power Systems Research, 77(3-4), 276–283.
    195. Mathur, R.M., & Varma, R.K., (2012). Thyristor – based FACTS controllers for electrical transmission systems.IEEE press Series on Power Engineering, John Wiley & sons, Inc. Publication
    196. Mathur, R.M., & Varma, R.K., (2012). Thyristor – based FACTS controllers for electrical transmission systems.IEEE press Series on Power Engineering, John Wiley & sons, Inc. Publication
    197. bacterial foraging algorithm approach for optimal power flow problem including FACTS devices considering system loadability. ISA Transactions Elsevier Publication, 52, 622-628.
    198. Hingorani, N.G., & Gyugyi, L., (1999) Understanding FACTS.The Institution of Electrical and Electronics Engineers
    199. Hingorani, N.G., & Gyugyi, L., (1999) Understanding FACTS.The Institution of Electrical and Electronics Engineers
    200. Belwin Edward, J. , Rajasekar, N., Sathiyasekar , K., Senthilnathan , N., & Sarjila, R., (2013).An enhanced
    201. Sreejith, S., Chandrasekaran, K., & Simon, S. P., (2009).Touring Ant Colony Optimization technique for optimal flow incorporating thyristor controlled series compensator . In proc. of World Congress on Nature and Biologically inspired Computing (NABIC), 1127 – 1132.

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