An integrated cold-electricity-heat energy system (ICEHS) operation optimization model with advanced adiabatic compressed air energy storage (AA-CAES) was proposed
considering the demand response (DR) of multiple loads including cooling
heating and power
introducing the carbon emission cost
and aiming at minimized total daily cost. Firstly
the cold
heat and power generated by AA-CAES was modeled considering the demand response of the three types of loads. Source-load uncertainty was then generated with combined Latin hypercubic sampling and
K
-means clustering. Finally
th
e minimization of the total cost summing the energy purchase cost
operation and maintenance cost
demand response cost
and carbon emission cost of the ICEHS was analyzed. Using a typical community ICEHS as an example
four typical scenarios were set up to verify the effectiveness of the proposed model. Results show that AA-CAES and DR can effectively reduce ICEHS cost and carbon emission.
关键词
Keywords
references
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