Study On Innerplant Economical Operation Of Hydropower Station Model Based Novel Heuristics Algorithm

As the importance of hydropower plant operation and management, the Economical Operation of Hydropower Plant (EOHP) problem is an effective measure for making full use of water resources, decreasing the energy loss and increasing the economic benefit of hydropower station.Dynamic Programming (DP) is a widely used classical method to solve the EOHP problem. The relatively fast calculation speed and more desirable optimization results can be obtained by DP in less installed capacity of hydropower station. However, the calculating difficulty and the amount of calculating work will be greatly increased so that it will be not employed in more installed capacity. It is a hindrance to use DP due to "curse of dimension " and the real-time problem of calculation to solve the EOHP problem, therefore the more effective algorithms needs must be explored.According to the characteristics of the EOHP problem, this model can be divided into two sub-models, namely the "unit commitment"(UC) decision and the "economic dispatch"(ED) decision. As a new random search algorithm, particle swarm optimization (PSO) algorithm has demonstrated a strong advantage to solve nonlinear optimization problems, can compensate for the many inadequacies in DP. The Penalty Function employed to change the UC to an unconstrained problem, Improved Mutative Scale Chaos Optimization Algorithm (IMSCOA) is adopted to solve the UC problem for only one step calculation and achieved better results. The PSO and IMSCOA to hydropower system have been applied by some researcher and engineer, but they seldom gave the comparison between the two algorithms and DP from the inevitability and potential of replacement using case study. In this paper, Wujiangdu Hydropower Plant with 1,250 MW of installed capacity and 5 units is used to compare the performance of optimal operation between PSO and DP for the ED problem as an example. The optimization results and computational efficiency are compared between IMSCOA and DP for solving the UC problem. The results show that PSO and IMSCOA have great advantage over DP in the efficiency and will be effective methods to solve the optimal operation of the huge Hydropower Units.