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Optimal Scheduling Of Multi Type Energy In Smart Grid District

Posted on:2018-10-31Degree:MasterType:Thesis
Country:ChinaCandidate:H W ChenFull Text:PDF
GTID:2322330542960383Subject:Control engineering
Abstract/Summary:PDF Full Text Request
Energy is an important pillar of economic development.In recent years,the demand of global energy grows rapidly,coal oil as the representative of the increasingly depleted non-renewable energy,security issues restricting the development of nuclear energy,energy issues have gradually become the world's national key issues of concern..In the face of China's rapid development of energy and rising energy prices,supply instability,the use of inefficient and inadequate lack of renewable energy and many other issues,to explore the comprehensive utilization of multi-energy is imperative.Smart grid district as a multi-type energy comprehensive utilization of the best experimental carrier,with its background to carry out multi-type energy optimization scheduling research is of great significance.In the study,relying on Sino-Singapore Eco-City Intelligent Grid Innovation Demonstration Zone,to carry out the smart grid district multi-type energy optimization scheduling research.The main research work includes:(1)Based on the analysis of the current severe energy situation and the importance of studying the energy efficiency of regional energy systems,this paper proposes a model of economy and environmental protection for smart grid demand.Based on the optimal scheduling of multi-type energy system,the reduction of pollutant discharge and the maximization of renewable energy are realized.(2)Based on the typical structure of the multi-type energy supply system in the smart grid area and the various distributed power supply and system auxiliary equipment,the corresponding mathematical modeling is established.(3)Consider the multi-type energy system,the lowest overall operating costs and the system emissions of pollutants in two aspects of the target to the hot and cold electrical power balance,equipment capacity is not limited,the user and distribution network trend is not limited and the node voltage is not limited to constraints Condition,the multi-objective optimal scheduling model is established,and the model is solved by the interior point method based on Hessian matrix iteration.(4)Taking Sino-Singapore Eco-City as an example,the energy consumption of three public groups and buildings,the data center of a building,a glass R & D and production enterprise,through the multi-type energy coordinated control dispatching model,The input of the user's cold and heat load,real-time electricity price and energy stations and the user energy supply equipment type and capacity,and solve the model,to achieve multi-type energy coordination and optimization operation.
Keywords/Search Tags:Smart Grid District, Multi Energy, Combined Cooling Heating and Power Systme, Coordinated Control, Optimal Scheduling, Weighting Method, Multi-Objective Optimization Algorithm
PDF Full Text Request
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