Co-optimized bidding strategy of an integrated wind-thermal-photovoltaic system in deregulated electricity market under uncertainties

Khaloie, Hooman; Abdollahi, Amir; Shafie‐khah, Miadreza; Siano, Pierluigi; Nojavan, Sayyad; Anvari‐Moghaddam, Amjad; Catalão, João P.S.

doi:10.1016/j.jclepro.2019.118434

Cited by 103 publications

(71 citation statements)

References 28 publications

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“…37 The solar irradiance is normalized by dividing into the standard irradiance (G 0 ) according to (1), and the solar clearness (k t ) index is defined. 38 The Beta distribution is one of the most popular distributions for statistical modeling of the solar clearness index, [39][40][41] as shown in (2).…”

Section: Scenario Generation Using Mcsmentioning

confidence: 99%

Optimal probabilistic scenario‐based operation and scheduling of prosumer microgrids considering uncertainties of renewable energy sources

Faraji

Hashemi‐Dezaki

Ketabi

2020

Energy Science & Engineering

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Section: Scenario Generation Using Mcsmentioning

confidence: 99%

Optimal probabilistic scenario‐based operation and scheduling of prosumer microgrids considering uncertainties of renewable energy sources

Faraji

Hashemi‐Dezaki

Ketabi

2020

Energy Science & Engineering

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“…The traditional expectation method is compared with the Monte Carlo method, and the effectiveness is proved. In [82], for the intermittent problem of clean energy, the framework model of multi-objective bidding strategy for wind-thermal photovoltaic system is proposed. The model considers two objective functions, which are related to profit maximization and thermal cell heating minimization, respectively.…”

Section: A Application Of Game Theory In Integrated Energy Planningmentioning

confidence: 99%

Application of Game Theory in Integrated Energy System Systems: A Review

Li³

et al. 2020

IEEE Access

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With the rapid development of society, global energy is in short supply. China has put forward an integrated energy system focusing on interconnecting energy resources and harnessing their complementary advantages to address the energy crisis, thus no longer pursuing the production, transportation and supply of a single source of energy. In the continuous development of integrated energy systems, the elements of participation and interaction are becoming more complex. Game theory, which can effectively solve the problems arising from multi-agent trading, is naturally introduced to the integrated energy system. This paper provides a comprehensive overview of the introduction of game theory into the integrated energy system. First, the development of integrated energy is briefly introduced, game scenarios in integrated energy systems is proposed, and game scenarios considering the energy supply side, distribution network, demand side and common planning and dispatching problems in integrated energy systems are summarized. Secondly, main game theory models in the integrated energy system are summarized, such as cooperative game theory model, the non-cooperative game theory model and the Stackelberg game theory model. Finally, the future prospect and challenge for the application of game theory in integrated energy systems is proposed. The new game models are introduced to the integrated energy system, and a mixed game is considered to solve related problems. It is hoped that this work can serve as a reference for the researchers in this field. INDEX TERMS Integrated energy system, game theory, energy management, demand response.

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“…In this section, the power system contained thermal units, wind power generators and interruptible load is set up, and necessary input information and data is presented [29,30]. We build a power system that aggregates four thermal units and two wind turbines.…”

Section: Parameters Settingmentioning

confidence: 99%

Two-Stage Optimization Model for Two-Side Daily Reserve Capacity of a Power System Considering Demand Response and Wind Power Consumption

Dong¹,

Anyuan²,

Liu³

et al. 2019

Sustainability

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Today, wind power is becoming an important energy source for the future development of electric energy due to its clean and environmentally friendly characteristics. However, due to the uncertainty of incoming wind, the utilization efficiency of wind energy is extremely low, which means the problem of wind curtailment becomes more and more serious. To solve the issue of wind power large-scale consumption, a two-stage stochastic optimization model is established in this paper. Different from other research frameworks, a novel two-side reserve capacity mechanism, which simultaneously takes into account supply side and demand side, is designed to ensure the stable consumption of wind power in the real-time market stage. Specifically, the reserve capacity of thermal power units is considered on the supply side, and the demand response is introduced as the reserve capacity on the demand side. At the same time, the compensation mechanism of reserve capacity is introduced to encourage generation companies (GENCOs) to actively participate in the power balance process of the real-time market. In terms of solution method, compared with the traditional k-means clustering method, this paper uses the K-means classification based on numerical weather prediction (K-means-NWP) scenario clustering method to better describe the fluctuation of wind power output. Finally, an example simulation is conducted to analyze the influence of reserve capacity compensation mechanism and system parameters on wind power consumption results. The results demonstrate that with the introduction of reserve capacity compensation mechanism, the wind curtailment quantity of the power system has a significant reduction. Besides, the income of GENCOs is gradually increasing, which motivates their enthusiasm to provide reserve capacity. Furthermore, the reserve capacity mechanism designed in this paper promotes the consumption of wind power and the sustainable development of renewable energy.

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Co-optimized bidding strategy of an integrated wind-thermal-photovoltaic system in deregulated electricity market under uncertainties

Cited by 103 publications

References 28 publications

Optimal probabilistic scenario‐based operation and scheduling of prosumer microgrids considering uncertainties of renewable energy sources

Optimal probabilistic scenario‐based operation and scheduling of prosumer microgrids considering uncertainties of renewable energy sources

Application of Game Theory in Integrated Energy System Systems: A Review

Two-Stage Optimization Model for Two-Side Daily Reserve Capacity of a Power System Considering Demand Response and Wind Power Consumption

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