Coordinated Bidding Strategy of Wind Farms and Power-to-Gas Facilities Using a Cooperative Game Approach

Zhang, Rufeng; Jiang, Tao; Li, Fangxing; Li, Guoqing; Chen, Houhe; Li, Xue

doi:10.1109/tste.2020.2965521

Cited by 106 publications

(44 citation statements)

References 30 publications

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“…In the last decade, the use of natural gas for power generation has increased significantly throughout the world (Zhang et al, 2020). The growth of natural gas-fired generation increases the interaction between electricity systems and natural gas systems (Li et al, 2008;Chaudry et al, 2014), and, together with renewable generation, makes the operation of electricity systems more environmentally friendly (Zhang et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Two-Stage Stochastic Scheduling of Integrated Electricity and Natural Gas Systems Considering Ramping Costs With Power-to-Gas Storage and Wind Power

et al. 2020

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Power-togas (P2G) facilities and natural gas fired power units provide flexibility to integrated electricity and natural gas systems (IENGS) for wind power accommodation and ramp deployment. This paper proposes a stochastic coordinated scheduling model for IENGS considering ramping costs with P2G storage and wind power. The operation model of natural gas system with P2G is presented, and the benefits of P2G integration are analyzed. To address the uncertainties of wind power and energy loads, multiple representative scenarios are generated. The flexible ramping requirements and costs are incorporated and analyzed, and flexible ramp can be provided by P2G in this work. The coordinated scheduling model for IENGS is formulated as a two-stage stochastic programming problem, in which day-ahead scheduling for electricity systems is modeled in the first stage model and scheduling of natural gas systems is carried out in the second stage model. Numerical case studies on a modified PJM 5-bus electricity system with a 7-node natural gas system and the IEEE 118-bus system with a 20-node Belgian natural gas system verify that P2G can help accommodate wind power, provide additional flexible ramping capacities, and reduce the gas supply from gas suppliers and gas load shedding.

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Section: Introductionmentioning

confidence: 99%

Two-Stage Stochastic Scheduling of Integrated Electricity and Natural Gas Systems Considering Ramping Costs With Power-to-Gas Storage and Wind Power

et al. 2020

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“…Besides, the energy storage system was considered to serve the ancillary service market. Zhang et al [19] suggested a model in which wind farms and power-to-gas power plants, collaborate and participate in the DA market, BM and reserve markets, and excess energy from wind farms and DA market is converted to hydrogen. It should be stated that these two studies lack bilateral contracts, EVs, risk management, portfolio structure, and line capacities.…”

Section: Relevant Backgroundmentioning

confidence: 99%

“…The equations in (14)- (19) define limit values for trading transactions carried out in the electricity market. (14) and (15) restrict the amount of energy produced from WPPs that can be sold in the DA market and BM, respectively.…”

Section: Armentioning

confidence: 99%

“…The limit of the transactions in the direction of buying for WPPs in the BM should be as much as the quantity sold to the DA market as provided by (16). The limit of the energy amount that can be bought from the DA market and BM for charging of EVs is expressed respectively in (17) and (18), while the limit of the selling amount that can be made in the up-regulation direction within the BM is defined in (19). In fact, the EVs are not discharged during the energy selling to the BM, instead, the amount of charging energy bought from the DA market or allocated from WPPs is reduced.…”

Section: Armentioning

confidence: 99%

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Risk-averse optimal bidding strategy for a wind energy portfolio manager including EV parking lots for imbalance mitigation

Çiçek¹,

Erdinç²

2021

Turk J Elec Eng & Comp Sci

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In this study, an optimal bidding strategy for a wind energy portfolio manager (WEPM) including electric vehicle parking lots (EVPLs) that aims to maximize profits by trading in the day-ahead (DA) market and balancing market (BM) and through bilateral contracts, taking into account line capacities and risk management is proposed. The mentioned structure is modeled in Mixed-Integer Linear Programming (MILP) framework, and the uncertainties regarding electric vehicle (EV) behavior, electricity market data, wind power generation are captured via a stochastic approach. To demonstrate the effectiveness of the model, several case studies are carried out considering Sweden and Turkey electricity market prices with different risk aversion factors and bilateral contract situations. In this manner, the important results as well as useful findings regarding the economic impacts of the proposed concept are analyzed in detail.

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“…The tight coupling of multiple energy systems brings in not only benefits to IES but also makes the security analysis of the energy subsystems more complicated [4,5]. Different composition patterns and response characteristics are owned by different energy subsystems [6,7].…”

Section: Introductionmentioning

confidence: 99%

Situation awareness and security risk mitigation for integrated energy systems with the inclusion of power‐to‐gas model

Chen

Shao

Jiang

et al. 2020

IET Renewable Power Generation

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Power-to-gas (P2G) and gas-fired generation units (GFGUs) enable the bidirectional energy flow of integrated energy systems (IESs). The static security of IES should be analysed considering the interdependence between energy systems. In this study, the static security of IES is analysed, and a novel static security control strategy to improve the security of IES after N−1 contingency is proposed considering P2G. First, electricity-gas IES model is presented, and the multi-energy flow of IES is solved by the Newton-Raphson method. Then, N − 1 static security analysis is carried out for the electricity system and natural gas system. Based on the obtained Jacobian matrix during the energy flow calculation process after N − 1 contingency, variable sensitivity matrixes of voltage, gas pressure, branch power flow and pipeline flow to control variables are derived. Furthermore, a static security control strategy for IES based on the sensitivity matrices is developed to regulate operation statuses of P2G and GFGU and compressor outlet pressure to mitigate the violation of security constraints. The performance of the proposed analysis method and control strategy is evaluated by IES 4-12 and IES 118-48 test systems. The results demonstrate that the proposed control strategy can mitigate security risks of IES after N − 1 contingencies.

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Coordinated Bidding Strategy of Wind Farms and Power-to-Gas Facilities Using a Cooperative Game Approach

Cited by 106 publications

References 30 publications

Two-Stage Stochastic Scheduling of Integrated Electricity and Natural Gas Systems Considering Ramping Costs With Power-to-Gas Storage and Wind Power

Two-Stage Stochastic Scheduling of Integrated Electricity and Natural Gas Systems Considering Ramping Costs With Power-to-Gas Storage and Wind Power

Risk-averse optimal bidding strategy for a wind energy portfolio manager including EV parking lots for imbalance mitigation

Situation awareness and security risk mitigation for integrated energy systems with the inclusion of power‐to‐gas model

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