Dynamic Game-Based Maintenance Scheduling of Integrated Electric and Natural Gas Grids With a Bilevel Approach

Wang, Chong; Wang, Zhaoyu; Hou, Yunhe; Ma, Kang

doi:10.1109/tpwrs.2018.2812702

Cited by 27 publications

(10 citation statements)

References 35 publications

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“…After piecewise linearization [36,37,40], the output of CCHP units in energy stations and the gas flow and gas pressure between energy stations are expressed by linear variables and 0-1 variables. There are 9696 continuous variables, 3840 0-1 variables, and 1248 nonlinear terms before linearization.…”

Section: Optimal Operation Solution Methodsmentioning

confidence: 99%

“…The natural gas network topology of energy stations is shown in Figure 5. In Figure 5, the actual direction of gas flow, Nature gas supply Ignoring the change in pipeline height and the change in temperature at different positions of the pipeline, and ignoring the time dynamic process, the natural gas pipeline transfer model can be expressed as follows [37]:…”

Section: Natural Gas Networkmentioning

confidence: 99%

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Day-Ahead and Intra-Day Collaborative Optimized Operation among Multiple Energy Stations

Zhai

et al. 2021

Energies

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An integrated energy system (IES) shows great potential in reducing the terminal energy supply cost and improving energy efficiency, but the operation scheduling of an IES, especially integrated with inter-connected multiple energy stations, is rather complex since it is affected by various factors. Toward a comprehensive operation scheduling of multiple energy stations, in this paper, a day-ahead and intra-day collaborative operation model is proposed. The targeted IES consists of electricity, gas, and thermal systems. First, the energy flow and equipment composition of the IES are analyzed, and a detailed operation model of combined equipment and networks is established. Then, with the objective of minimizing the total expected operation cost, a robust optimization of day-ahead and intra-day scheduling for energy stations is constructed subject to equipment operation constraints, network constraints, and so on. The day-ahead operation provides start-up and shut-down scheduling of units, and in the operating day, the intra-day rolling operation optimizes the power output of equipment and demand response with newly evolved forecasting information. The photovoltaic (PV) uncertainty and electric load demand response are also incorporated into the optimization model. Eventually, with the piecewise linearization method, the formulated optimization model is converted to a mixed-integer linear programming model, which can be solved using off-the-shelf solvers. A case study on an IES with five energy stations verifies the effectiveness of the proposed day-ahead and intra-day collaborative robust operation strategy.

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Section: Optimal Operation Solution Methodsmentioning

confidence: 99%

Section: Natural Gas Networkmentioning

confidence: 99%

Day-Ahead and Intra-Day Collaborative Optimized Operation among Multiple Energy Stations

Zhai

et al. 2021

Energies

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“…In terms of the trading and operation with user side resources, reference [10] put forward the optimal trading strategy for the integrated energy suppliers including renewable energy to stabilize the fluctuation through demand side means. Reference [11][12] proposed targeted trading strategies for non-cooperative trading and joint trading among multi-agent markets. Reference [13] proposed an optimal market trading strategy of load aggregators based on comprehensive demand response considering market information and demand side resource scheduling potential.…”

Section: Introductionmentioning

confidence: 99%

Optimal Configuration of Multi-type Energy Storage for Integrated Energy System Considering Multi-energy Trading With Load Substitution

Wang

Yang

et al. 2021

E3S Web Conf.

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How to consider the impact of load substitution on user-side participating in multi-energy trading on system operation when configuring multi-type energy storage (MES) is an urgent problem that needs to be solved to improve the economics and energy efficiency of the integrated energy systems (IES). This paper presents an optimal configuration method of MES considering multi-energy trading with load substitution based on the characteristics of different energy supply seasons. Firstly, the multi-energy trading framework and MES configuration principle are proposed based on the structure of the IES. Secondly, a MES optimal configuration model for IES considering multi-energy trading with load substitution is established, then the IES trading strategies and MES planning schemes are solved. Finally, the proposed method is verified by an example. The results show that the proposed method reduces the MES configuration cost by 8.9%. It can be seen that the MES configuration method proposed in this paper is helpful to repair the limitations of energy storage configuration research in IES and improve the economic benefits of the system.

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“…Specifically, a solar power generation and cogeneration sharing system was proposed, and a joint game model was established for the system, which was solved by using distributed operations to minimize the operating cost in the alliance. Reference [19] proposed a dynamic game-based dispatching mechanism for natural gas networks and grids aiming to minimize the loss of power and gas loads. A mixed integer linear model was established, and the effectiveness of the model was demonstrated by an example.…”

Section: Introductionmentioning

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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Dynamic Game-Based Maintenance Scheduling of Integrated Electric and Natural Gas Grids With a Bilevel Approach

Cited by 27 publications

References 35 publications

Day-Ahead and Intra-Day Collaborative Optimized Operation among Multiple Energy Stations

Day-Ahead and Intra-Day Collaborative Optimized Operation among Multiple Energy Stations

Optimal Configuration of Multi-type Energy Storage for Integrated Energy System Considering Multi-energy Trading With Load Substitution

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

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