Research on the Collaborative Optimization of Multi-Energy Flow Microgrids

Wu, Fan; Huang, Shangyuan; Li, Rui; Guo, Qinglai; Sun, Hongbin; Zhang, Pan

doi:10.1016/j.egypro.2016.11.297

Cited by 11 publications

(3 citation statements)

References 1 publication

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“…The multi-energy flow microgrid has been studied with cold, heat, electricity, gas, and others. By constructing a collaborative optimization model of cold, heat, electricity, and gas, the security and economic operation of the microgrid was realized [9][10][11]. A scene-based optimization algorithm has been applied to deal with the uncertainty of solar irradiance and wind speed, converting the uncertain problem into certainty to solve the problem [12].…”

Section: Literature Reviewmentioning

confidence: 99%

Research on Decision Optimization Model of Microgrid Participating in Spot Market Transaction

et al. 2021

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The development of electricity spot trading provides an opportunity for microgrids to participate in the spot market transaction, which is of great significance to the research of microgrids participating in the electricity spot market. Under the background of spot market construction, this paper takes the microgrid including wind power, photovoltaic (PV), gas turbine, battery storage, and demand response as the research object, uses the stochastic optimization method to deal with the uncertainty of wind and PV power, and constructs a decision optimization model with the goal of maximizing the expected revenue of microgrids in the spot market. Through the case study, the optimal bidding electricity of microgrid operators in the spot market is obtained, and the revenue is USD 923.07. Then, this paper further investigates the effects of demand response, meteorological factors, market price coefficients, and cost coefficients on the expected revenue of microgrids. The results demonstrate that the demand response adopted in this paper has better social–economic benefits, which can reduce the peak load while ensuring the reliability of the microgrid, and the optimization model also ensure profits while extreme weather and related economic coefficients change, providing a set of scientific quantitative analysis tools for microgrids to trade electricity in the spot market.

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Section: Literature Reviewmentioning

confidence: 99%

Research on Decision Optimization Model of Microgrid Participating in Spot Market Transaction

et al. 2021

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“…The integrated energy system (IES) provides a new framework for the coordination and efficient use of multiple energy sources, and is the core of reducing carbon emission in the energy field [2]. The IES is composed of multiple micro energy grids (MEGs) in the region, each of which integrates various energy supply, conversion and storage devices to meet the diversified energy demand [3]. The traditional MEG operated independently and cannot give full play to the advantages of the IES, while the joint operation of multiple MEGs can further improve the system efficiency and economy, but the joint operation strategy is far more complex than the independent operation strategy.…”

Section: Introductionmentioning

confidence: 99%

Distributed collaborative optimal dispatch of integrated energy systems considering stepped carbon trading

Han,

Ge,

et al. 2023

Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023)

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Integrated energy system (IES) is significant to achieve the goal of carbon peak and carbon neutrality. IES is composed of multiple interconnected micro energy grids, with obvious distributed and multi-agent characteristics, and it is very difficult to operate efficiently and cooperatively. This paper proposed a distributed optimization strategy considering stepped carbon trading mechanism. Firstly, the mathematical model of interconnection operation of multi-energy microgrid is established by considering energy cost and carbon trading cost. Then, the distributed solution of the model is realized based on the globally consistent ADMM algorithm. Finally, the optimization results of the model are analysed by a typical case to verify that the proposed strategy can effectively realize the economic and low-carbon operation of the system.

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“…Chen et al [11] have investigated an optimal operation method and applied to CHP plants in order to provide extra flexibility for the wind power integration in China. Resource optimization methods were applied on combined heat and power microgrids [12]. Dimoulkas etc.…”

Section: Introductionmentioning

confidence: 99%

Network constrained economic dispatch of integrated heat and electricity systems through mixed integer conic programming

Huang

Tang

et al. 2019

Energy

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This paper proposes an economic dispatch method for an integrated heat and electricity system with respect to network constraints. Network constraints are usually nonlinear and can cause severe difficulties for optimization solvers. Particularly, in a heating network, the mass flow mixing at each node and the pressure and temperature drop along each pipe involve both hydraulic and thermal processes, which can cause high nonlinearity that has not been properly modeled. This paper will firstly model the power and heat network constraints by using a nonlinear model, which is accurate but hard to solve. Then, simplification and convexification will be employed to reform the nonlinear constraints to linear and conic ones. Consequently, the entire economic dispatch problem will be modeled as a mixed integer conic programming problem. Because the proposed model allows for the changes of the mass flow rate and direction, an optimal mass flow profile can be achieved along with the solution of the economic dispatch. Case studies on an integrated district heating and power system with a portfolio of power and heat sources show that the proposed economic dispatch model can handle the complexity of the network constraints and make optimal dispatch plans for multi-energy systems.

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Research on the Collaborative Optimization of Multi-Energy Flow Microgrids

Cited by 11 publications

References 1 publication

Research on Decision Optimization Model of Microgrid Participating in Spot Market Transaction

Research on Decision Optimization Model of Microgrid Participating in Spot Market Transaction

Distributed collaborative optimal dispatch of integrated energy systems considering stepped carbon trading

Network constrained economic dispatch of integrated heat and electricity systems through mixed integer conic programming

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