The influence of demand response on wind-integrated power system considering participation of the demand side

Gao, Jianwei; Ma, Zhen; Guo, Fengjia

doi:10.1016/j.energy.2019.04.104

Cited by 31 publications

(14 citation statements)

References 44 publications

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“…For the practical questions described in (21), its confidence level generally needs to be greater than 0.5. 38 Therefore, ( 7), ( 8) and ( 21) can be equivalent to (23).…”

Section: Transformation To Clear Equivalent Modelmentioning

confidence: 99%

“…As an important component of demand‐side management, 21 demand response (DR) can guide the user's rational use of electricity, 22 reduce the peak‐valley difference of the load and the cost of wind power, 23 and it can also improve the wind power consumptive 24 and the frequency stability of wind power system, 25 and provide larger capacity space for wind power connected to the grid. Flexible load response (FLR) is the main research direction of DR, 26 which can effectively suppress the intermittence and fluctuation caused by a high proportion of renewable energy 27 .…”

Section: Introductionmentioning

confidence: 99%

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Multi‐objective economic dispatch of power system with wind farm considering flexible load response

2021

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The uncertainty of wind farm power and load both have a certain impact on the economic dispatch of the power system. First, this study deals with the fuzzy processing of power prediction error and load forecasting error of wind farms based on fuzzy random theory. On this basis, a multi-objective fuzzy stochastic dispatch model of a power system with flexible load is established under the carbon trading mechanism. And, the nonlinear cost of flexible load response and the cost of carbon emission compensation is introduced to the multi-objective function of the model. In addition, the fuzzy chance constraint of the spinning reserve is added to the constraint conditions. By introducing the variable, the fuzzy random dispatch model is transformed into a clear equivalent model. Finally, the discrete bacterial colony chemotaxis algorithm is used to process the model, and the optimal solution to the multi-objective function is obtained by a compromise strategy based on a small degree of satisfaction. In the simulation, a classic IEEE10 system and a wind farm are taken as examples. The results show that compared with the other three traditional dispatch models, the total power generation cost

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“…For the practical questions described in (21), its confidence level generally needs to be greater than 0.5. 38 Therefore, ( 7), ( 8) and ( 21) can be equivalent to (23).…”

Section: Transformation To Clear Equivalent Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi‐objective economic dispatch of power system with wind farm considering flexible load response

2021

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show abstract

“…In (2e) and (2f), the costs of start-up or shut-down of generators are modeled. Regarding the generators on/of status, (2g) shows that generators are required to operate in either the start-up, shut-down, or normal conditions [20]. This constraint can be applied via defining two binary variables.…”

Section: Mathematical Model Of the Operation Co-optimization Problemmentioning

confidence: 99%

A series multi-step approach for operation Co-optimization of integrated power and natural gas systems

Faridpak

Farrokhifar

Murzakhanov

et al. 2020

Energy

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Power to gas units and gas turbines have provided considerable opportunities for bidirectional interdependency between electric power and natural gas infrastructures. This paper proposes a series of multi-step strategy with surrogate Lagrange relaxation for operation co-optimization of an integrated power and natural gas system. At first, the value of coordination capacity is considered as a contract to avoid dysfunction in each system. Then, the uncertainties and risks analysis associated with wind speed, solar radiation, and load fluctuation are implemented by generating stochastic scenarios. Finally, before employing surrogate Lagrange relaxation, the non-linear and non-convex gas flow constraint is linearized by two-dimension piecewise linearization. In the proposed procedure, constraints for energy storages and renewable energy sources are included. Two case studies are employed to verify the effectiveness of the proposed method. The surrogate Lagrange relaxation approach with coordination branch & cut method enhances the accuracy of convergence and can effectively reduce the decisionmaking time.

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“…Different solutions such as energy storage systems (ESSs), demand-side response (DSR), and curtailment of variable renewable energy sources have been suggested to manage the energy flows and increase the flexibility of the grid [6][7][8][9]. ESS with a certain degree of flexibility can be used to charge, hold and discharge the electricity according to the condition of the grid.…”

Section: Introductionmentioning

confidence: 99%

Grid balancing with a large‐scale electrolyser providing primary reserve

Samani

D'Amicis²,

Kooning

et al. 2020

IET Renewable Power Generation

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As the share of renewable energy sources increases, the grid frequency becomes more unstable. Therefore, grid balancing services will become more important in the future. Dedicated devices can be installed close to the point where offshore wind farms are connected to the transmission grid on land. There, it can be used to attenuate power variations, reduce congestion and offer grid balancing. These ancillary services can create significant economic revenue. In this paper, the provision of the primary reserve by means of a large hydrogen electrolyser of 25 MW is investigated for the specific case of the Belgian transmission system. The electrolyser is used to convert water and excess power to hydrogen gas, which is injected into the natural gas grid. The revenue for primary reserve (R1) provision is analysed on a techno-economic model, including capital costs, operational costs, the revenue of the generated hydrogen and oxygen products and the ancillary service income. The revenue depends strongly on the contracted power-band. Therefore, it is optimised to yield maximum revenue. The results show that providing R1 creates a considerable revenue. Therefore, a large electrolyser can be a good candidate to buffer excess renewable energy into green gas while simultaneously providing grid support.

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The influence of demand response on wind-integrated power system considering participation of the demand side

Cited by 31 publications

References 44 publications

Multi‐objective economic dispatch of power system with wind farm considering flexible load response

Multi‐objective economic dispatch of power system with wind farm considering flexible load response

A series multi-step approach for operation Co-optimization of integrated power and natural gas systems

Grid balancing with a large‐scale electrolyser providing primary reserve

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