Demand response strategy for promoting distributed power consumption based on resident load participation

Zhu, Haoming; Gao, Fengkai

doi:10.1109/ecti-ncon.2019.8692254

Cited by 4 publications

(1 citation statement)

References 7 publications

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“…The barriers of independent planning and operation of electricity, heat, and cooling energy systems is broken by the integrated energy system, and organically coordinates and optimizes energy generation, transmission, distribution, conversion, storage, consumption and other links to realize the integration of energy production, supply and marketing. As a concrete manifestation, the integrated energy station-to-network system takes the energy station as the core and interweaves together various energy systems such as power system and thermal system through multi-energy coupling equipment [1] to realize the mutual conversion and synergy of electricity, heat and cold energy; the integrated energy station-network system uses the energy supply network as a bridge to realize interconnection and multi-energy flow complementarity between energy stations. The dispatching of electricity, heating and cooling to meet the user's demand for electricity, heat and cooling.…”

Section: Introductionmentioning

confidence: 99%

Optimisation of regional energy demand networks based on flexible load model

Wang¹,

Li²,

Liu³

et al. 2022

J. Phys.: Conf. Ser.

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The existing literature on integrated energy station-grid planning studies focuses on configuration planning. Therefore, a multi-objective hybrid particle swarm algorithm is used in this paper to solve a multi-objective optimisation model and combines a multi-indicator evaluation method based on evidence-based reasoning to select the solution with the highest evaluation value from multiple candidates (Pareto solution set) as the optimal solution. The optimal planning solution is selected from multiple candidates (Pareto solution set) by a multi-indicator evaluation method based on evidence-based reasoning, and the effectiveness of the proposed model is verified utilizing an example. The customer participation demand response optimises the demand curve by adjusting the flexible load, reduces the system operation cost and investment construction cost, and maximises the economic, environmental and reliability benefits of the integrated regional energy station grid.

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Section: Introductionmentioning

confidence: 99%