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

Dong, Jun; Wang, Yuanyuan; Dou, Xiangji; Chen, Zhengpeng; Zhang, Yaoyu; Liu, Yao

doi:10.3390/su13126577

Cited by 4 publications

(2 citation statements)

References 35 publications

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“…It is of great significance to improve energy efficiency, develop renewable energy and reduce air pollution. The micro-energy grid will become an important new model of distributed energy utilization in the future [5]. With the gradual opening of the electricity market, the participation of the micro-energy grid in the spot market of electricity will be necessary.…”

Section: Introduction 1background and Motivationmentioning

confidence: 99%

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A Two-Stage Optimal Dispatching Model for Micro Energy Grid Considering the Dual Goals of Economy and Environmental Protection under CVaR

et al. 2021

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With the development of distributed renewable energy, a micro-energy grid (MEG) is an important way to solve the problem of energy supply in the future. A two-stage optimal scheduling model considering economy and environmental protection is proposed to solve the problem of optimal scheduling of micro-energy grid with high proportion of renewable energy system (RES) and multiple energy storage systems (ESS), in which the risk is measured by conditional value-at-risk (CVaR). The results show that (a) this model can realize the optimal power of various energy equipment, promote the consumption of renewable energy, and the optimal operating cost of the system is 34873 USD. (b) The dispatch of generating units is different under different risk coefficients λ, which leads to different dispatch cost and risk cost, and the two costs cannot be optimal at the same time. The risk coefficient λ shall be determined according to the degree of risk preference of the decision-maker. (c) The proposed optimal model could balance economic objectives and environmental objectives, and rationally control its pollutant emission level while pursuing the minimum operation costs. Therefore, the proposed model can not only reduce the operation cost based on the consideration of system carbon emissions but also provide decision-makers with decision-making support by measuring the risk.

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Section: Introduction 1background and Motivationmentioning

confidence: 99%

“…H whb,t = H gt,t •η whb (5) where F gt,t is the amount of natural gas consumed by the gas turbine, and P gt,t is the electrical power output by the gas turbine, kW. L hvng is the low heating potential value of the natural gas.…”

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confidence: 99%

A Two-Stage Optimal Dispatching Model for Micro Energy Grid Considering the Dual Goals of Economy and Environmental Protection under CVaR

et al. 2021

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A Stackelberg game-based approach to load aggregator bidding strategies in electricity spot markets

Li,

Yang,

Zhang

et al. 2024

Journal of Energy Storage

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Power transaction game algorithm with microgrid based on residual regression model

2023

International Journal of Low-Carbon Technologies

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Direct transaction between microgrid and distribution network is the most common market transaction mode. With the rapid expansion of business scale, industry development and diversification of service types, it is easy to cause problems such as opaque transaction data between users and easy tampering of transaction data. In order to improve the trading ability of power market in microgrid group, a game algorithm of power trading with microgrid based on residual regression model is proposed. According to the power quality level and power sales strategy, a residual regression model is established to balance the characteristic quantity of electricity price. The quadratic function is used to solve the optimal selling strategy of power sales companies, and the threshold of equilibrium solution is analyzed. The supply and demand model of microgrid is established to optimize the decision variables of electricity price in power sales companies, and the fitness value is obtained by particle swarm optimization. The bidding strategy game model of microgrid power sales company is constructed, and the rules of power transaction settlement are set to realize the transaction settlement between microgrid and distribution network. The experimental results show that the electricity price is stable, the comprehensive income is high, the user income and cost income are moderate, and the profit is high. Thus, it is proved that the proposed method is economical and effective, and the economy of electric energy use is guaranteed while fully considering the self-interest of microgrid.

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

Cited by 4 publications

References 35 publications

A Two-Stage Optimal Dispatching Model for Micro Energy Grid Considering the Dual Goals of Economy and Environmental Protection under CVaR

A Two-Stage Optimal Dispatching Model for Micro Energy Grid Considering the Dual Goals of Economy and Environmental Protection under CVaR

A Stackelberg game-based approach to load aggregator bidding strategies in electricity spot markets

Power transaction game algorithm with microgrid based on residual regression model

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