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Research On Power System Optimal Dispatch Considering Demand Response And Optimization Methods

Posted on:2020-09-27Degree:MasterType:Thesis
Country:ChinaCandidate:B R WeiFull Text:PDF
GTID:2392330578959689Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
The growing shortage of energy and environmental degradation has prompted humans to find solutions,development and utilization of renewable energy is the consensus of the solution.However,large-scale development of renewable energy with random and intermittent charac-teristics and access to the power system in a centralized or distributed manner brings great hidden dangers to the stable operation of the power system.Meanwhile,with the development of information technology and the significant increase of flexible load on the supply side of the power system,the feasibility and willingness of the supply side users to actively participate in the operation of the main energy system have increased sharply.In the face of huge changes on both sides of the supply and demand of the power system,the optimal scheduling of the power system is faced with mode transformation.In this field,studies are urgently needed on uncertain renewable energy consumption,flexible load demand response and optimization al-gorithm.This paper focuses on the coordinated optimal dispatching of power system supply and demand sides,considers the randomness of renewable energy sources and actively par-ticipates in the dispatching of demand side.The optimal dispatching model and optimization algorithm of power system considering demand respons-e and renewable energy uncertainty are studied and discussed,the specific innovations are as follows:· For the classical economic dispatch problem is a nonlinear constrained optimization prob-lem,conventional optimization methods are unable to generate good quality solution-s.This paper proposes a chaotic adaptive mutation firefly algorithm,which effectively solves the classical economic scheduling model that exhibits nonlinear and non-convex characteristics.· In view of the current booming development of distributed power generation and its wide geographical distribution,it is difficult for the dispatch center to directly optimize the dis-patch of massive distributed energy and excessive distributed energy directly connected to the power grid will have adverse effects on the operation of the power grid.Based on this,this paper establishes an optimal scheduling model for integrating distributed power generation resources into the power market through virtual power plants.In the mod-el,renewable energy,energy storage system and dynamic power market prices are taken into account,and the distribution of distributed power generation resources is optimized with the objective of minimizing the operating cost of virtual power plants themselves.In view of the non-linear and non-convex characteristics of the model,it is difficult to direct-ly apply the traditional mathematical programming optimization algorithm to solve the problem effectively.An adaptive differential evolution algorithm based on deterministic sequence is proposed to solve the model.The effectiveness of the algorithm is verified by comparing with other well-known optimization algorithms.· This paper establishes a coordinate optimal dispatching model of supply and demand sides of power system considering the randomness of wind power and demand response,which optimizes the resources on both sides of the system simultaneously to maximize the social benefits of the system.The model effectively realizes the absorption of re-newable energy and meets the demand side's willingness to actively participate in the operation of the system,and improves the economic and environmental benefits of the system.
Keywords/Search Tags:Economic dispatch, Demand response, Evolutionary algorithm, Renewable Energy source
PDF Full Text Request
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