Research On Multi-Objective Optimal Dispatch Of Power System Considering "Source Storage" And "Source Load" Collaboration

Faced with severe energy scarcity and global warming,renewable energy has become the goal of the joint efforts of governments around the world to replace traditional energy.With the connection of various wind power stations,photovoltaic power stations and pumped storage power stations,the economic problem of power system and the problem of abandoned wind power have become the core problems of optimal dispatching.Based on the above problems,this paper studies the coordinated optimal dispatch of "source-storage" and "source-load" in areas with pumped-storage power stations and areas without pumped-storage power stations but rich in energyintensive load.First of all,this paper summarizes the data of renewable resources in various places,and obtains the specific distribution of the above two types of regions.Then,conduct research on the "source-storage" coordinated optimal dispatch of the power system including pumped-storage power stations in the first category,and construct an economic dispatch model for power system including wind-solar-fire-pumped-storage power station,taking the lowest power generation cost,lowest operating cost,and lowest environmental cost as the optimization goal,the unit operation constraints are considered,including the ramp rate constraint,the unit start-stop constraint,the system spinning reserve constraint,and the capacity constraint of the pumped-storage power station.This paper proposes the optimal scheduling decision considering the fixed scheduling strategy of the pumped-storage,and simulates the 10-machine system by discrete binary particle swarm optimization.The simulations under three scenarios,including no pumped-storage units,considering pumped-storage fixed scheduling,and considering pumped-storage random scheduling,are compared and analyzed.The results show that the pumped-storage fixed scheduling scheme is more in line with the actual operation needs.Then,for the second type of area,this paper studies the coordinated optimal dispatch of "source-load" under the time-of-use pricing mechanism for power systems with high energy loads and wind power,taking the energy-intensive users of the power grid as the carrier,the energy-intensive users are divided into PDR and IDR according to the response type,and the time-of-use price peak-valley flat adjustment model is constructed through the boundary translation strategy.Then design the operation mode of day-ahead and intraday two-stage scheduling,in which energy-intensive users are guided to respond to prices in day-ahead scheduling,and IDR energy-intensive loads are involved in scheduling in intraday.fully mobilizing the advantages of various forms of energy,and meeting economic needs on the premise of safe operation indicators,the complementary advantages of various energy sources can be realized.The dispatching model takes the minimum comprehensive cost of the system and introduces limit scenarios for risk verification.The 6-machine system is simulated and compared by the improved particle swarm optimization algorithm of chaotic technology.The results show that the dispatching scheme has good economic benefits and wind power consumption.