Regional collaborative planning equipped with shared energy storage under multi-time scale rolling optimisation method

Du, Sipeng; Wu, Di; Dai, Zhong; Li, Guiqiang; Lahaxibai, Shala

doi:10.1016/j.energy.2023.127680

Cited by 6 publications

(2 citation statements)

References 37 publications

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“…Figure 1 shows the collaborative optimization framework for multi-flexible resources. It is noted that this paper assumes that end-users are willing to participate in scheduling and automatically respond to control signals in order to receive monetary rewards from the aggregator, which is consistent with many studies (Yi et al, 2021;Du et al, 2023).…”

Section: Two-stage Optimization Strategysupporting

confidence: 62%

“…For the intraday dispatch of demand-side flexible resources, we propose a two-stage optimization strategy, in which the first stage optimizes the bidding decision of demand-side flexible resources to join the intraday market based on rolling optimization, and the second stage carries out real-time dispatch optimization to cope with the system operation deviation caused by forecast errors. The multi-time scale characteristic of flexibility demand lies in the decrease in prediction accuracy with time, and the multi-time scale characteristic of flexibility resources lies in the trend of flexibility supply output changing with time (Du et al, 2023). Figure 1 shows the collaborative optimization framework for multi-flexible resources.…”

Section: Two-stage Optimization Strategymentioning

confidence: 99%

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An intraday dispatch strategy for demand-side flexible resources based on two-stage optimization

Wang,

Liu,

Wang

et al. 2024

Front. Energy Res.

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In the context of energy transition and carbon neutrality strategies, distributed renewable energy is widely emerging on the distribution side. However, due to the volatility and randomness characteristics of distributed renewable energy, its full absorption poses a huge challenge to the economy and stable operation of the power grid. Flexible resources on the demand side, represented by air conditioners and electric vehicles, can participate in grid dispatching, improving the economic efficiency and reliability of system operation. To this end, this paper proposes an intraday dispatch strategy for demand-side flexible resources based on two-stage optimization. First, based on a generalized energy storage model, the adjustable flexibility of demand-side flexible resources is modeled. Second, to hinder the uncertainties related with markets and demand-side flexible resources, the rolling optimization is adopted for the optimal bidding, thus enabling demand-side flexible resources to participate in the intraday market with low risks of profit losses. Third, based on the bidding decision, real-time dispatch optimization is carried out to cope with the system operation deviation caused by forecast errors. Then, in the real-time control stage, the dispatch instructions are decomposed to the control units to achieve power tracking. Finally, the proposed method is simulated and verified on a test system. The results show that by coordinating the operation of demand-side flexible resources through two-stage optimization, the uncertainties of renewable energy output, market price, etc. Can be effectively overcome, and the economics of system operation can be improved.

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Section: Two-stage Optimization Strategysupporting

confidence: 62%

Section: Two-stage Optimization Strategymentioning

confidence: 99%