Flexibility Improvement of CHP Unit for Wind Power Accommodation

Zhang, Dongming; Hu, Yong; Gao, Yaokui

doi:10.35833/mpce.2020.000630

Cited by 18 publications

(6 citation statements)

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“…At present, domestic, and international research has focused on three aspects of energy storage equipment to improve the flexibility (Zhou et al, 2021;Zhang et al, 2022), operational stability (Mahmoud et al, 2022b), and security of power systems. Among them, the role of energy storage for power system security enhancement is discussed in three dimensions: topological vulnerability (Martinez-Rico et al, 2021), grid security power supply capacity (Li et al, 2022;Mahmoud et al, 2022a), and transient security (Wang et al, 2021), respectively.…”

Section: Introductionmentioning

confidence: 99%

Optimal configuration of grid-side energy storage considering static security of power system

Tian¹,

Zhao²,

Tong³

et al. 2023

Front. Smart Grids

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The large-scale access of distributed sources to the grid has brought great challenges to the safe and stable operation of the grid. At the same time, energy storage equipment is of great importance to effectively enhance the consumption of renewable energy and ensure the safe and stable operation of the grid. This paper proposes a method for optimal allocation of grid-side energy storage considering static security, which is based on stochastic power flow analysis under semi-invariant method. Firstly,according to the load, wind power and photovoltaic probability model, a system stochastic power flow model is constructed. Furthermore, the fault probability and fault severity indicators are established from two dimensions of branch power flow and node voltage. And combine the fault probability and severity indicators to establish a static security assessment indicators system. Then, a grid-side energy storage planning model is constructed from the perspective of energy storage operators. Finally, an improved genetic algorithm is used to solve the two-stage planning and operation problem proposed in this paper, and simulation analysis is conducted based on the IEEE-30 node system. The results show that the energy storage configuration considering static security constraints can effectively reduce the fault probability and the severity of fault overlimit. The simulation and case study verify that the proposed energy storage allocation method can effectively improve the static security of the system.

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Section: Introductionmentioning

confidence: 99%

Optimal configuration of grid-side energy storage considering static security of power system

Tian¹,

Zhao²,

Tong³

et al. 2023

Front. Smart Grids

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show abstract

“…In recent years, with the rapid development of renewable energy, the installed capacity of renewable energy in the power grid has gradually increased. However, renewable energy power generation is characterized by randomness and reverse peak shaving, resulting in increasing peak-shaving pressure in the power grid [1,2]. Electric vehicle (EV) aggregators [3][4][5][6] appear to improve the compensation mechanism of auxiliary power service, promote the optimal allocation of peak load balancing resources and the consumption of clean energy [7,8], and improve the safe and economic operation level of the power grid.…”

Section: Introductionmentioning

confidence: 99%

Bargaining game based on psychological cost of electric vehicles and risk assessment of aggregators

Lin

Zhou

et al. 2023

IET Generation Trans & Dist

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As electric vehicles (EVs) begin to participate in the peak‐shaving auxiliary service market, the question of how price aggregators can maximize the peak‐shaving capacity provided by EVs and maximize their own profit has become a major problem. This paper proposes a bargaining game pricing method based on the psychological cost of EVs and the risk assessment of aggregators. First, the comprehensive psychological cost of EV users is obtained based on the impact of users’ participation in peak shaving on the battery life of EVs and on users’ original travel plans and time, and the impact of aggregator pricing on users’ psychology. Then, based on users’ psychological cost and the law of gravitation, the evaluation scheme for the peak‐shaving capacity of EVs is obtained. On the basis of conditional value at risk (CVaR), the mixed CVaR is obtained by considering the risk‐chasing behaviour of users. Based on the mixed CVaR, the risk assessment of aggregators’ participation in the peak‐shaving auxiliary service market is carried out. According to the above information, the aggregator and EV groups are engaged in a bargaining game based on the peak‐shaving pricing problem, which is divided into complete information game and incomplete information game. Finally, the feasibility of the proposed method is verified by an example analysis which is run by the MATLAB R2019b. The method proposed in this paper provides aggregators with a complete peak‐shaving electricity pricing scheme, effectively improving the dispatching capacity of EVs. It is helpful to rationalize the pricing of aggregators and maximize their profits. EVs can also obtain satisfactory profits, attracting more EVs to participate in peak shaving, and reduce the pressure on power grid peak shaving.

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“…In [6], it analyzes the influence of various regulatory resources on the flexibility of the power system in the case of wind power grid-connection and proposes a holisticlocal flexibility evaluation method. In [7], flexibility improvement strategies such as thermal power unit performance transformation, demand-side response based on the virtual power plant, and demand-side response based on flexible load are proposed. A full-timing system operation model with flexible resource constraints and multi-day coordinated operation is constructed.…”

Section: Introductionmentioning

confidence: 99%

Research on energy flexibility demand analysis and evaluation method of power systems with a high proportion of new energy

Sun,

Lu,

Wang

et al. 2023

J. Phys.: Conf. Ser.

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With the increase of the scale of highly uncertain power supply in the system, the system needs more and more energy flexibility. Existing studies focus more on short-term energy demand volatility changes and lack quantitative means to analyze the system’s demand for energy flexibility at different time scales. Aiming at the above problems, this paper proposes an energy flexibility demand analysis and evaluation method for power systems with a high proportion of new energy. It constructs an energy flexibility demand evaluation index system at different time scales. Combined with the analysis of domestic provincial cases, the results verify the effectiveness of the proposed method.

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Flexibility Improvement of CHP Unit for Wind Power Accommodation

Cited by 18 publications

References 0 publications

Optimal configuration of grid-side energy storage considering static security of power system

Optimal configuration of grid-side energy storage considering static security of power system

Bargaining game based on psychological cost of electric vehicles and risk assessment of aggregators

Research on energy flexibility demand analysis and evaluation method of power systems with a high proportion of new energy

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