School of Engineering
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กำลังเรียกดู School of Engineering โดย ผู้เขียน{{beginningWith}} "Keerati Chayakulkheeree"
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รายการ Application of Distributed Slack Bus Power Flow to Competitive Environments(2555-08-05T07:32:46Z) Keerati ChayakulkheereeThis paper presents the mathematical model of distributed slack bus power flow (DSPF) program and its application to competitive electricity supply industry (ESI). The advantage of DSPF is its ability to compute the frequency deviation when the ACE is treated as fixed value. It can represent the automatic generation controls (AGC) for maintaining nominal frequency. More specifically, the proposed method can diversify the power imbalance to voltage controlled buses in the system via participation factor. Therefore, the AGC of the generators can be incorporated in the analysis. The participation factors of the generators are obtained by the weighted average of AGC accepted quantities in ancillary services market. The results shows that the proposed method can satisfactory represent the system behaviour that all generators are response to power imbalance. In addition, the proposed method results in the better justified AGC setting in competitive electricity market than that of using single slack bus power flow. The DSPF is tested with the IEEE 30 bus system and compared to single slack bus power flow solution. Numerical results shown that the method can effectively represent the generation control characteristics to the power flow model and potentially be applied to simulate the competitive electricity markets.รายการ Application of Distributed Slack Bus Power Flow to Competitive Environments(Proceeding of the Australasian University Power Engineering Conference 2007, 2550-12-09) Keerati ChayakulkheereeThis paper presents the mathematical model of distributed slack bus power flow (DSPF) program and its application to competitive electricity supply industry (ESI). The advantage of DSPF is its ability to compute the frequency deviation when the ACE is treated as fixed value. It can represent the automatic generation controls (AGC) for maintaining nominal frequency. More specifically, the proposed method can diversify the power imbalance to voltage controlled buses in the system via participation factor. Therefore, the AGC of the generators can be incorporated in the analysis. The participation factors of the generators are obtained by the weighted average of AGC accepted quantities in ancillary services market. The results shows that the proposed method can satisfactory represent the system behaviour that all generators are response to power imbalance. In addition, the proposed method results in the better justified AGC setting in competitive electricity market than that of using single slack bus power flow. The DSPF is tested with the IEEE 30 bus system and compared to single slack bus power flow solution. Numerical results shown that the method can effectively represent the generation control characteristics to the power flow model and potentially be applied to simulate the competitive electricity markets.รายการ Distributed Slack Bus Power Flow Part I: Mathematical Model and Framework(The 30th Electrical Engineering Conference, 2550-10-25) Keerati ChayakulkheereeThis paper presents the mathematical model and test example of distributed slack bus power flow (DSPF) program. The method can diversify the power imbalance to voltage controlled buses in the system via participation factor. Therefore, the automatic generation controls (AGC) of the generators can be incorporated in this power flow model. The DSPF is tested with the IEEE 30 bus system. Numerical results shown that the method can effectively represent the generation control characteristics to the power flow model and potentially be applied to the overcoming competitive electricity supply industry.รายการ Distributed Slack Bus Power Flow Part II: Prospect and Challenge for Competitive Environments(The 30th Electrical Engineering Conference, 2550-10-25) Keerati ChayakulkheereeThis paper introduces an application of distributed slack bus power flow to competitive electricity supply industry (ESI). The participation factors of the generators are obtained by the weighted average of AGC accepted quantities in the ancillary services market. The results shows that the proposed method can satisfactory represent the system behavior that all generators are response to power imbalance. In addition, the proposed method results in the better justified AGC setting in competitive electricity market than that of using single slack bus power flow.รายการ Economic of Power System Reliability [Presentation](2551-02-24T04:30:40Z) Keerati Chayakulkheereeรายการ An Investigation Study on Fuzzy Line Flow Limit Constraints in Competitive Electricity Markets(The 30th Electrical Engineering Conference, 2550-10-25) Keerati ChayakulkheereeIn this paper, the fuzzy set theory is applied to model the soft constraint limits. The fuzzy constrained optimal dispatch is formulated as a fuzzy optimization problem and converted into a crisp optimization problem. An efficient successive linear programming method is then modified to solve the new problem. Numerical test results on IEEE 30-bus system show that the fuzzy constrained method could give a good trade-off between reducing generation cost and satisfying constraints, and produce more realistic generation schedules when a feasible solution cannot be obtained by using the crisp OPF.รายการ Multi-Objective Optimal Power Flow Considering System Emissions and Fuzzy Constraints(2555-08-05T13:51:45Z) Keerati ChayakulkheereeThis paper proposes a fuzzy multi-objective optimal real power flow (FMOPF) with transmission line limit and transformer loading constraints. In the proposed FMOPF algorithm, the total system operating cost, total system SO2, NOx, and CO2 emissions fuzzy minimization objectives are solved simultaneously considering fuzzy line flow constraints, using fuzzy linear programming (FLP). The proposed FMOPF is tested with the IEEE 30 bus system. The simulation results shown that the proposed FMOPF can efficiently and effectively trade off among total system operating cost and total system SO2, NOx, and CO2 emissions.รายการ Multi-Objective Optimal Power Flow Considering System Emissions and Fuzzy Constraints(Proceeding of International Conference on Sustainable Development: Challenges and Opportunities for the Greater Mekong Subregion, 2550-12-12) Keerati ChayakulkheereeThis paper proposes a fuzzy multi-objective optimal real power flow (FMOPF) with transmission line limit and transformer loading constraints. In the proposed FMOPF algorithm, the total system operating cost, total system SO2, NOx, and CO2 emissions fuzzy minimization objectives are solved simultaneously considering fuzzy line flow constraints, using fuzzy linear programming (FLP). The proposed FMOPF is tested with the IEEE 30 bus system. The simulation results shown that the proposed FMOPF can efficiently and effectively trade off among total system operating cost and total system SO2, NOx, and CO2 emissions.รายการ Network and Generator Constrained Economic Dispatch Using Hybrid PSO-QP Algorithm(2555-08-04T15:41:14Z) Keerati ChayakulkheereeThis paper proposes a hybrid particle swarm optimization (PSO) and quadratic programming (QP) algorithm for power system economic dispatch (ED) with transmission line limit and transformer loading and generator prohibited operating zones constraints. In the proposed PSO-QP-ED algorithm, the sets of real power generation at generator bus are used as particles in the PSO. The quadratic programming ED with transmission line limit and transformer loading constrained is performed every generation to obtain the best solution of each population search. The proposed PSO-QP-ED is tested with the IEEE 30 bus system and compared to the PSO-ED. The proposed PSO-QP-ED results in more probability to obtain global minimum total system operating cost in the constrained ED than the PSOED considering generator prohibited operating zones constraints.รายการ Network and Generator Constrained Economic Dispatch Using Hybrid PSO-QP Algorithm(Proceeding of the 2006 ECTI Conference, 2549-05-10) Keerati ChayakulkheereeThis paper proposes a hybrid particle swarm optimization (PSO) and quadratic programming (QP) algorithm for power system economic dispatch (ED) with transmission line limit and transformer loading and generator prohibited operating zones constraints. In the proposed PSO-QP-ED algorithm, the sets of real power generation at generator bus are used as particles in the PSO. The quadratic programming ED with transmission line limit and transformer loading constrained is performed every generation to obtain the best solution of each population search. The proposed PSO-QP-ED is tested with the IEEE 30 bus system and compared to the PSO-ED. The proposed PSO-QP-ED results in more probability to obtain global minimum total system operating cost in the constrained ED than the PSOED considering generator prohibited operating zones constraints.รายการ Optimal Power Flow Considering Non-Linear Fuzzy Network and Generator Ramprate Constrained(2555-08-05T04:54:16Z) Keerati ChayakulkheereeThis paper proposes a fuzzy constrained optimal power flow (FCOPF) algorithm with non-linear fuzzy network and generator ramprate limit constraints. The problem is decomposed into total fuel cost fuzzy minimization subproblem and total real power loss fuzzy minimization subproblem, which are solved by fuzzy linear programming (FLP). In the total fuel cost fuzzy minimization subproblem, the line flow and transformer loading limits and the generator ramprate limits are treated as fuzzy constraints. Whereas, in the total real power loss fuzzy minimization subproblem, the bus voltage magnitude limits are treated as fuzzy constraints. The non-linear S-shape membership function is used for representing soft characteristic of fuzzy constraints. The proposed FCOPF algorithm is tested on the IEEE 30 bus test system with and without lines outage cases. The results show that the fuzzy constrained optimal power flow algorithm can successfully trade off among total fuel cost, line flow and transformer loading and generator ramprate in the total fuel cost fuzzy minimization subproblem and between total real power loss and bus voltage magnitude in the total real power loss fuzzy minimization subproblem.รายการ Optimal Power Flow Considering Non-Linear Fuzzy Network and Generator Ramprate Constrained(Internation Energy Jurnal, Regional Energy Resource Information Center, 2550-06) Keerati ChayakulkheereeThis paper proposes a fuzzy constrained optimal power flow (FCOPF) algorithm with non-linear fuzzy network and generator ramprate limit constraints. The problem is decomposed into total fuel cost fuzzy minimization subproblem and total real power loss fuzzy minimization subproblem, which are solved by fuzzy linear programming (FLP). In the total fuel cost fuzzy minimization subproblem, the line flow and transformer loading limits and the generator ramprate limits are treated as fuzzy constraints. Whereas, in the total real power loss fuzzy minimization subproblem, the bus voltage magnitude limits are treated as fuzzy constraints. The non-linear S-shape membership function is used for representing soft characteristic of fuzzy constraints. The proposed FCOPF algorithm is tested on the IEEE 30 bus test system with and without lines outage cases. The results show that the fuzzy constrained optimal power flow algorithm can successfully trade off among total fuel cost, line flow and transformer loading and generator ramprate in the total fuel cost fuzzy minimization subproblem and between total real power loss and bus voltage magnitude in the total real power loss fuzzy minimization subproblem.รายการ Optimal Scheduling of Limited Energy Units Using Deconvolution Technique: A Case Study of Hydro Power Generation in Thailand(2555-05-29T15:38:29Z) Keerati ChayakulkheereeThis paper investigates a practical application of deconvolution technique base optimal scheduling of limited energy units (LEUs). The computer program has been developed so that the probabilities of unit outages are taken into account by capacity model building and deconvolution technique is used to determine the optimal scheduling of LEUs. The program has been tested with the equivalent Thai power system with 110 power generating units, including 16 LEUs (hydro plants). The results shows that the deconvolution technique based optimal LEUs scheduling can dispatch all of daily energy specified at the optimal condition leading to the lower daily operating cost than that of scheduling without deconvolution calculation. The method can effectively associate the unit commitment problem as a preliminary scheduling of LEUs.รายการ Optimal Scheduling of Limited Energy Units Using Deconvolution Technique: A Case Study of Hydro Power Generation in Thailand(The 27th Electrical Engineering Conference, 2547-11-11) Keerati ChayakulkheereeThis paper investigates a practical application of deconvolution technique base optimal scheduling of limited energy units (LEUs). The computer program has been developed so that the probabilities of unit outages are taken into account by capacity model building and deconvolution technique is used to determine the optimal scheduling of LEUs. The program has been tested with the equivalent Thai power system with 110 power generating units, including 16 LEUs (hydro plants). The results shows that the deconvolution technique based optimal LEUs scheduling can dispatch all of daily energy specified at the optimal condition leading to the lower daily operating cost than that of scheduling without deconvolution calculation. The method can effectively associate the unit commitment problem as a preliminary scheduling of LEUs.