A New Wind Power Accommodation Strategy for Combined Heat and Power System Based on Bi-Directional Conversion

Luo, Yanhong; Yin, Zhenxing; Yang, Dongsheng; Zhou, Bowen

doi:10.3390/en12132458

Cited by 10 publications

(4 citation statements)

References 22 publications

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“…The lower the ω number, the more probable that all populations in the search space will converge to the ideal place. Equation (9) proposes an inertia weight.…”

Section: Inertial Weightsmentioning

confidence: 99%

“…The model considers the temperature dynamics of the district heating system and uses energy storage as a choice to solve the optimization problem for managing wind energy variability. Luo et al [9] established a two-way conversion system for cogeneration by charging gas, fuel elements, and heat preservation devices in the cogeneration organization to realize the two-way conversion of electricity and gas and the decoupling of the two operation modes of cogeneration units, which greatly improved the adaptability of the system to extra wind power. Niknam, Azizipanah-Abarghooee, Roosta and Amiri [1] considered the uncertainty of wind power output, combined with the operation price model of wind and thermal power, constructed the multi-objective dynamic optimization scheduling model considering unit commitment, and used the multi-objective particle swarm optimization algorithm through priority ranking and multi-subgroup co-evolution to solve the model.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Scheduling of Regional Combined Heat and Power System Based on Improved MFO Algorithm

et al. 2022

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Due to the inflexibility of cogeneration power plants and the uncertainty of wind power production, the excess power of the distribution network brings challenges to the power grid operation. This paper introduced an improved moth-flame optimization algorithm to meet the challenge of energy complementary dispatching. The proposed algorithm adopts three effective strategies, namely inertia weight, unified initialization, and the spiral position update strategy, which maintains a strong global search ability and a potent compromise between global and local search. The effectiveness of the proposed method was evaluated by benchmark functions. Furthermore, the proposed method was applied to combine heat and power system operation problems and economic dispatch in light load and wind power unpredictability. In order to verify the robustness of the algorithm and solve the complex constraints of power systems under extreme conditions, three different cases had been discussed. The experimental findings indicate that the proposed algorithm shows better performances in terms of convergence speed, ability to escape from a local optimum solution, and population diversity maintenance under different complexity conditions of engineering problems.

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“…The lower the ω number, the more probable that all populations in the search space will converge to the ideal place. Equation (9) proposes an inertia weight.…”

Section: Inertial Weightsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal Scheduling of Regional Combined Heat and Power System Based on Improved MFO Algorithm

et al. 2022

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“…Du et al [10] introduced modeling, planning and optimization methods for a regional integrated energy system. Luo [11] established a model for minimizing the sum of various costs and analyzed the integrated energy system with P2G. The above reference considered the objectives and related constraints of the micro energy grid, but the proposed models were used to analyze the uncertainty of the distributed energy.…”

Section: Introductionmentioning

confidence: 99%

A Risk Aversion Dispatching Optimal Model for a Micro Energy Grid Integrating Intermittent Renewable Energy and Considering Carbon Emissions and Demand Response

Fan

Lin

et al. 2019

Processes

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This paper focuses on an optimal schedule for a micro energy grid considering the maximum total carbon emission allowance (MTEA). Firstly, the paper builds an energy devices operation model and demand response (DR) model. Secondly, to maximize the economical operation revenue, the basic scheduling model for the micro energy grid is constructed. Thirdly, the conditional value at risk method and robust stochastic theory are introduced to describe the uncertainty of wind power, photovoltaic power, and load, and a risk aversion model is proposed. Finally, this paper selects the Xinxiang active distribution network demonstration project in Jining, China as an example. The results show that: (1) a micro energy grid can make the most use of the complementary characters of different energy sources to meet different energy demands for electricity, heat, cold, and gas; (2) the risk aversion scheduling model can represent the influence of uncertainty variables in objective functions and constraints, and provide a basis for decision makers who have different attitudes; and (3) DR can smooth the energy load curves. MTEA can enhance the competitiveness of the clean energy market, thus promoting the grid-connected generation of clean energy. Therefore, the risk aversion model can maximize the economic benefits and provide a basis for decision makers while rationally controlling risks.

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“…As a result, the dispatching department usually adopts means of wind curtailment or even shuts down the units to ensure the stable operation of the power grid, which leads to energy waste and economy loss. Furthermore, during the heating period of more than half a year in north China, the combined heat and power (CHP) units usually are operated under the mode of "Following the thermal load" (FTL) in order to meet the demand for heating [4,5] (Refer to Table A1 for all acronyms). The demand for thermal load at night is high but the electrical load is low.…”

mentioning

confidence: 99%

Optimal Dispatch Strategy for a Flexible Integrated Energy Storage System for Wind Power Accommodation

Zhou

Zhao

et al. 2020

Energies

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The application of the large-capacity energy storage and heat storage devices in an integrated energy system with a high proportion of wind power penetration can improve the flexibility and wind power accommodation capacity of the system. However, the efficiency and cost of the flexible resource should also be taken into consideration when improving the new energy accommodation capacity. Based on these considerations, the authors try to construct a joint optimal scheduling model for day-ahead energy storage and heat storage that considers flexibility. The power supplies and devices will be modeled separately, which enables a universal applicability. The objective function is the minimum cost and wind curtailment. Various practical constraints are taken into account. The mixed integer programming and software GLPK is used to program and solve. The actual operation data of a provincial power grid in northern China is used to conduct simulation analysis in four different working conditions. The results show that the model can maintain economical efficiency under different working conditions. In addition, it can adjust and dispatch various power supplies and devices efficiently, significantly improving wind power accommodation of the system.Energies 2020, 13, 1073 2 of 18 in the northern regions. However, their power systems are dominated by thermal power units. In their actual operation, peak-shaving is usually undertaken by thermal power units. The penetration ratio of wind power has been increasing in recent years, and its reverse peak regulation characteristics and large fluctuations have brought certain difficulties to the formulation of the dispatching plan. As a result, the dispatching department usually adopts means of wind curtailment or even shuts down the units to ensure the stable operation of the power grid, which leads to energy waste and economy loss. Furthermore, during the heating period of more than half a year in north China, the combined heat and power (CHP) units usually are operated under the mode of "Following the thermal load" (FTL) in order to meet the demand for heating [4,5] (Refer to Table A1 for all acronyms). The demand for thermal load at night is high but the electrical load is low. The electric power generation level of the CHP unit adopting the mode of "FTL" is relatively higher, and the remaining power space is small. It is in this period that the wind resource is abundant. So, the application of "FTL" results in a large amount of wind curtailment. Nowadays, thermal power (TP) and CHP units have been transformed by installing heat storage devices (HSD) and electric boilers (EB) [6][7][8][9][10][11][12][13][14]. In addition, new flexible resources such as energy storage devices (ESD) and pumped storage power stations have been further developed [15][16][17][18][19]. The advancement in these two aspects provides new options for the peak regulation of power systems. In References [9,10], by adding HSDs, the "FTL" mode of CHP units was decoupled, and its adjustment ability was improved;...

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A New Wind Power Accommodation Strategy for Combined Heat and Power System Based on Bi-Directional Conversion

Cited by 10 publications

References 22 publications

Optimal Scheduling of Regional Combined Heat and Power System Based on Improved MFO Algorithm

Optimal Scheduling of Regional Combined Heat and Power System Based on Improved MFO Algorithm

A Risk Aversion Dispatching Optimal Model for a Micro Energy Grid Integrating Intermittent Renewable Energy and Considering Carbon Emissions and Demand Response

Optimal Dispatch Strategy for a Flexible Integrated Energy Storage System for Wind Power Accommodation

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