风光气储互补发电的冷热电联供优化协调模型及求解方法

An Optimization Coordination Model and Solution for Combined Cooling,Heating and Electric Power Systems With Complimentary Generation of Wind,PV,Gas and Energy Storage

建立考虑不同费率结构和风能、太阳能、天然气、储能互补发电的冷热电联供优化协调模型。考虑了冷能、热能和电能的联合供应以及电能和天然气具有不同的费率结构及其季节性差异。针对夏季和冬季费率结构的不同,采用不同的协调策略。夏季采取减少峰值购电量来减少购电成本,而冬季则以保持联络线的功率稳定为约束。所构建的多种能源形式互补发电优化模型,采用冬、夏季典型负荷模型以及发电机三阶效率模型,能够更精确地模拟发电热效应;以购电和天然气的总成本作为目标函数,约束条件包含冷热电负荷平衡、联络线功率及各设备出力特性等。采用NR-PSO算法对提出的优化问题进行求解,在迭代中后期的全局最优解邻域内重新进行搜索,可避免陷入局部最优,克服基本粒子群算法局部搜索能力弱、易产生早熟现象等缺点。以实例进行计算,验证所提方法能够平抑清洁能源的波动性并实现多种电能完全消纳,显示了多种清洁能源互补发电的作用和优势。

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.