Research On Dynamic Active Power Optimization Dispatch Considering Intermittent Generations

The combination of one large power grid and distributed generations is considered to be a new direction for the development of power industry. Safe and economic operation of power system is one of important issues for the study of the dispatch considering intermittent renewable energy. In order to achieve reasonable consumer, it needs a dispatch strategy to improve the ability of self-regulation and participate in active power control in an appropriate way of regional power grid.In this context, as a basement of the classic active power system optimal dispatch methods, as a clue of wind power generation characteristics, as a guidance of economic operation rules in power system, as a mean of improved traditional particle swarm optimization algorithm, as a goal of running the system in a economic, safe and coordinated way, this article has been doing the research on the dynamic active power optimization dispatch methods in considering intermittent generations. Combined with the characteristics of intermittent generations, this paper has proposed means of active power control and scheduling strategies to adapt large-scale intermittent generations connected to power grid.The main work and research have shown as followed:(1) Establish the mathematic model of dynamic active power optimization dispatch in considering wind power. Taking into account the energy cost of value-point effect of turbine generation, the objective function is the total cost of each time in scheduling cycle. Constraints include system constraints and conventional thermal power constraints. It also introduces upper and lower spinning reserve constraints in order to deal with the impact caused by wind power prediction error.(2) The application of improved particle swarm optimization is used in intermittent generation dispatch. Solve the optimal model through the improved algorithm and arrange the thermal unit output power in each period of the cycle. In order to jump the local optimum, this paper has added chaos into the traditional PSO. In data initialization, the method is the combination equal consumed energy increase ratio law and probability-random initialization.(3) Formulate the strategy of unit commitment. Using the improved PSO to arrange the unit start-stop sequence in the dispatch cycle, it will allow the resources to be applied to rationalize and save generation costs, so as to achieve the goal of economic operation in power system.(4) Formulate the peaking strategy of hydropower units. Select two typical days on analysis of actual power peaking capacity in hydropower units. Provide the basis for the unit order.(5) Use IEEE-10units test system and actual operating data of one power grid to test the software. The computing speed and the results were satisfactory and also give some advices for the grid running economically.