Optimal Control Applications in Electric Power Systems by G.S. Christensen, M.E. El-Hawary, S.A. Soliman

By G.S. Christensen, M.E. El-Hawary, S.A. Soliman

Significant advances within the box of optimum keep an eye on were remodeled the earlier few a long time. those advances were good documented in several effective courses, and feature stimulated a few options in electrical strength process engineering, yet they've got now not but been accrued in e-book shape. Our goal in scripting this publication is to supply an outline of a few of the purposes of optimum keep an eye on options to sensible energy method difficulties. The publication is designed for complicated undergraduate classes in electrical strength structures, in addition to graduate classes in electric engineering, utilized arithmetic, and commercial engineering. it's also meant as a self-study relief for working towards team of workers curious about the making plans and operation of electrical energy structures for utilities, brands, and consulting and govt regulatory organisations. The ebook comprises seven chapters. It starts with an introductory bankruptcy that in brief studies the heritage of optimum regulate and its energy approach purposes and in addition offers an summary of the textual content. the second one bankruptcy is entitled "Some optimum regulate Techniques"; its rationale is to introduce basic strategies of optimum keep an eye on idea which are proper to the purposes taken care of within the following chapters. Emphasis is given to transparent, methodical improvement instead of rigorous formal proofs. issues mentioned comprise variational calculus, Pontryagin's greatest precept, and geometric tools utilising useful research. a couple of solved examples are integrated to demonstrate the techniques.

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A Successive Approximation Solution The hydrothermal optimal load flow problem can be solved using a successive approximation algorithm developed by El-Hawary, Rao, and Christensen (Ref. 18). 4a) for the slack bus (i = 1) is not incorporated directly into the optimization Chapter 3 28 process. 11) is obtained. The concrete form of optimality conditions is given as follows: At the thermal generation buses, we have Pi + 2'YiPgi - Api - 0, i = 2, ... , N. 14) At the hydrogeneration buses, we have lIi(P; + 2'Y;Pg;} - Ap; = 0, i = N.

15. 993 were obtained. 582. 16 lists the error measures for each iteration. A data area for 24 hr of 44M was required. 9. 30-Bus IEEE-AEP System, Optimal Solution Angle lJ (rad) Bus No. 9 (continued) Bus No. 10. 11. 11. 13. 14. 15. 16. 17. 000 X X 10-9 10-8 51 Dynamic Optimal Load Flow 37-Bus System Convergence in six iterations with subsequent voltage control release at three buses resulted in optimal solution in five iterations. 785 were obtained. 113. 18 shows the error measure variation with iterations.

6. , "Contribution a l'etude du Dispatching Economique," BulL Soc. Fr. Elec. Ser. B 3, 431-447 (1962). 7. SUN, D. , and TINNEY, W. , "Optimal Power Flow by Newton Approach," IEEE Trans. Power Appar. Syst. 103(10),2864-2880 (1984). 8. BURCHETT, R. , HAPP, H. , PALMER, R. , and VIERATH, D. , "Quadratically Convergent Optimal Power Flow," IEEE Trans. Power Appar. Syst. 103(11), 3267-3275 (1984). 9. EL-KADY, M. , BELL, B. , CARVALHO, V. , BURCHETT, R. , HAPP, H. , and VIERATH, D. , "Assessment of Real Time Optimal Voltage Control," Paper 85-SM-4890,1985 Summer Power Meeting, Vancouver.

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