학술논문

A BCS-GDE Algorithm for Multi-objective Optimization of Combined Cooling, Heating and Power Model
Document Type
Conference
Source
2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia) Industrial and Commercial Power System Asia (I&CPS Asia), 2021 IEEE/IAS. :293-298 Jul, 2021
Subject
Power, Energy and Industry Applications
Energy consumption
Analytical models
Costs
Wind energy
Buildings
Mathematical models
Dispatching
combined cooling
heating and power
multi-objective
evolutionary algorithm
the best compromise solution
Language
Abstract
District energy systems can not only reduce energy consumption but also set energy supply dispatching schemes according to demand. In this paper, the combined cooling heating and power economic emission dispatch (CCHPEED) model is established with the objective of economic cost, primary energy consumption, and pollutant emissions, as well as the decision-making strategie is proposed to meet the demand for energy supply. Besides, a generalized differential evolution with the best compromise solution processing mechanism (BCS-GDE) is proposed to solve the model, also, the best compromise solution processing mechanism is put forward in the algorithm for the first time. In the simulation, the resource dispatching is performed according to the different energy demands of hotels, offices, and residential buildings on the whole day. The simulation results show that the model established in this paper can reduce the economic cost, energy consumption, and pollutant emission, in which the maximum reduction rate of economic cost is 36%, the maximum reduction rate of primary energy consumption is 38%, and the maximum reduction rate of pollutant emission is 61%. Concurrently, BCS-GDE also has better convergence and diversity than the classic algorithms.