An optimization coordination model and solution for combined cooling, heating and electric power systems with complimentary generation of wind, pv, gas and energy storage

An optimization coordination model for combined cooling, heating and electric power systems with complimentary generation of wind, photovoltaic cell (PV), gas and energy storage in different rate structures was presented. The model considers supplying of cooling, heating and power energy and power energy's rate structure which changes as season altering is different to the natural gas's. It adopts different coordinate strategies in view of the different of the rate structure in summer and winter, which by using the way that lowing the on-peak power energy purchased to reduce cost in summer compared with keeping the tie line power stability as constraint in winter. Selecting typical load in summer and winter for simulation and using third order model of generator efficiency can make calculating thermal effect more accurate in the proposed multiple energy complimentary generation model. Objective function is the total cost of purchasing electricity and natural gas, and constraints are the balance of cooling, thermal and power load, tie line power and equipment characteristics, etc. The neighborhood re-dispatch particle swarm optimization (NR-PSO) algorithm was adopted in simulation, which re-dispatch in neighborhood of the global optimal solution in the middle and later periods of the iteration that could avoid falling in to the local optimum, and also overcome the basic PSO algorithm's shortcomings such as weak local searching ability and easy to premature. The calculation of example shows that the proposed coordination optimization method can smooth the volatility of clean energy and make full use of clean energy to generate electricity, embodies the effect and advantage of the complementary of various clean energy complimentary power generation. © 2015 Chinese Society for Electrical Engineering.