Journal article
Many-Criteria Optimality of Coordinated Demand Response with Heterogeneous Households
Hunan University1
Department of Electrical Engineering, Technical University of Denmark2
Center for Electric Power and Energy, Centers, Technical University of Denmark3
Electric Power Systems, Center for Electric Power and Energy, Centers, Technical University of Denmark4
North China Electric Power University5
Technical University of Denmark6
Shenzhen University7
This paper proposes a bilevel multi-house energy management (MHEM) framework to coordinate the residential demand response (DR) of heterogeneous households based on many-criteria optimality. In the upper level, the loss of life (LOL) cost of transformers is formulated into the DR cost model, and a stochastic scheduling is implemented to determine the optimum amount of transformer load deferment and curtailment.
The lower level aims to optimally allocate the transformer load from the aggregator to individual households, and a many-criteria DR optimality model is proposed to maximize the multi-house benefits from DR while achieving coordination of the DR participation. Furthermore, a hypercube spatial transformation based classification and sorting scheme is developed to form an evolutionary manyobjective (EMO) algorithm in order to solve the many-criteria decision making (MCDM) problem of coordinated DR with numerous participants.
The performance of the proposed method was benchmarked and validated on different scaled neighborhood systems over a 24-hour scheduling horizon, and comparative results demonstrated its superiority and optimality in solving many-house DR problems.
Language: | English |
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Year: | 2020 |
Pages: | 118267 |
ISSN: | 18736785 and 03605442 |
Types: | Journal article |
DOI: | 10.1016/j.energy.2020.118267 |
ORCIDs: | Wu, Qiuwei |