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Daily Economic Dispatch Optimization With Pumped Storage Plant 47

                        assumption that pumped storage and thermal power investment is 3500yuan/kW, the
                        total investment for the pumped storage plant of 1200MW is 4.2 billion yuan, which
                        means the investment for a thermal power plant of 2000MW installed capacity can be
                        deferred.
                    3. Reliability benefit: assuming that system outage loss is 10,000yuan/MWh, the power
                        failure ratio of pumped storage units is less than that of thermal power units. If the
                        forced interruption ratio of pumped storage units is 0.1%, and that of thermal power
                        units is 0.39%, energy generated by pumped storage units during peak load period is
                        5000MWh, so that the reliability benefit per day shall be
                          Reliability benefit ¼ 0:39% 0:1%Þ 5000 10;000 ¼ 145;000yuan
                                            ð
               Accordingly, the reliability benefit per year (operating for 200 days per year) shall be 29 million
               yuan (145,000 200).


               2.7 Conclusion


               A new approach based on mixed-integer programming is proposed for the daily economic
               operation planning problem for a multiarea system with hydrothermal plants and a pumped
               storage plant. The special treatments for integer variables and virtual cost are effective for
               practical problems. The optimization problem can be solved by a standard mixed-integer
               programming method or by an approximation method.
               The testing system is a large-scale system, where the installed capacity of thermal power units is
               10,315MW, hydropower units 924MW, and pumped storage units 1200MW. In the practical
               test system, the maximum peak-valley difference was 2650MW before optimization, reduced
               to 575MW after optimization. Thus, the proposed optimization model can effectively reduce
               the peak-valley difference.

               The calculation results show that the approach proposed can be successfully shift the peak of
               the load curve through a pumped storage plant, so that the operation condition of the whole
               power system can be greatly improved. Whether it is from the reduction of startups and
               shutdowns costs of thermal power units or the benefits created by the difference in peak-to-
               valley electricity prices, the economic benefits are very substantial.

               The main characteristics of the proposed approach are summarized as follows:

               (1) The proposed mixed-integer programming model can be directly solved by the mixed-
                    integer programming method, or approximately solved by the linear
                    programming method.
               (2) It can create validity testing among the basic operating constraints, so as to ensure a
                    feasible solution in the optimization calculation.
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