A mixed integer linear programming based approach for unit commitment in smart grid environment
TL;DR: In this paper, a mixed-integer programming approach is proposed to solve the unit commitment problem with demand response resources and gridable vehicles in the smart grid environment. But, the objective function of theunit commitment problem has been modified to incorporate demand response resource and gridable vehicles, and the proposed method is conducted on the conventional 10-unit test system.
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Abstract: The future of power systems known as smart grids is expected to involve an increasing level ofintelligence and incorporation of new information and communication technologies in everyaspect of the power grid. Demand response resources and gridable vehicle are two interestingprograms which can be utilized in the smart grid environment. Demand response resources canbe used as a demand side virtual power plant (resource) to enhance the security and reliabilityof utility and have the potential to offer substantial benefits in the form of improved economicefficiency in wholesale electricity markets. An economic model of incentive responsive loadsis modelled based on price elasticity of demand and customers’ benefit function. On the otherhand, a gridable vehicle can be used as a small portable power plant to improve the reliabilityas well as security of the power system.This paper formulates a mixed-integer programming approach to solve the unit commitmentproblem with demand response resources and gridable vehicles. The objective function of theunit commitment problem has been modified to incorporate demand response resources andgridable vehicles. The proposed method is conducted on the conventional 10-unit test systemto illustrate the impacts of smart grid environment on the unit commitment problem. Moreoverthe benefits of implementing demand response resources and gridable vehicle in electricitymarkets are demonstrated.
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Citations
Combined Optimization Model for Electricity and Byproduct Gas in Energy-Intensive Enterprises with Self-Provided Power Plants
TL;DR: A self-power generation dispatching model of energy-intensive enterprises based on gas scheduling is proposed, which takes maximum plant output and minimum the operating cost of gas-power system as objective function on the basis of self-provided power plant unit commitment model and gas scheduling model by coupling these two models through energy conservation and flow equilibrium.
4
Gas Scheduling Based Generation Dispatching of Self-provided Power Plants for Energy-intensive Enterprises
XIA Xinhua,GAO Zonghe,XU Fan,ZHENG Tao,DAI Zemei +4 more
TL;DR: This paper proposes a gas scheduling model for self-provided power plants in energy-intensive enterprises, maximizing output and minimizing operating costs while reducing gas emissions through a coupled optimization model.
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