王禹,彭道刚,姚峻,于会群
WANG Yu,PENG Daogang,YAO Jun,YU Huiqun

• 1:上海电力大学自动化工程学院
• 2:上海明华电力技术工程有限公司

摘要(Abstract)：

分布式能源系统是能源利用的未来趋势,其中协同经济优化运行是实现能量供需平衡、降低能源站成本的关键。首先从冷热电协同优化运行入手,建立了包括三联供系统、离心式冷机、空气源热泵以及风光储在内的分布式能源协同运行优化模型,然后考虑设备约束和系统约束,目标函数综合考虑运行成本和环境成本,采用改进粒子群优化算法求解。结果表明,与粒子群算法和自适应粒子群算法相比,该算法有效避免了局部最优以及后期收敛慢的问题,同时具有更好的优化效果。最后针对国内某示范园区分布式能源系统进行优化验证,所提方法能够有效降低总成本,提高分布式能源系统经济效益,促进可再生能源充分消纳。
Distributed energy is the trend of future energy utilization, and the economic collaborative optimization is the key to achieving energy supply-demand balance and reducing operating costs of energy station. Based on collaborative optimal optimization of cooling, heating and power, the paper constructs a collaborative optimal operation model of distributed energy including cooling-heating-power system, centrifugal chiller, air source heat pump and wind-PV-energy storage system, and considers the conditions of equipment constraints and system constraints. The objective function comprehensively considers the running cost and the environmental cost and introduces improved particle swarm optimization to solve the problem. The results show that compared with particle swarm optimization and adaptive particle swarm optimization, the improved particle swarm optimization can effectively avoid the problems of local optimization and slow convergence, and has better optimization effect. Finally, according to the optimization and verification of distributed energy system in a demonstration park in China, the proposed method can effectively reduce the total cost, improve the operational economic benefits of the distributed energy system and promote the full consumption of renewable energy.

关键词(KeyWords)： 分布式能源系统;冷热电三联供;经济优化运行;人工蜂群算子自适应粒子群算法
distribution energy system;CHP;economic and optimal operation;ABC-APSO

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金面上项目(71871160);; 上海市“科技创新行动计划”社会发展领域项目(16DZ1202500);; 上海市科学技术委员会工程技术研究中心项目(14DZ2251100)

作者(Author): 王禹,彭道刚,姚峻,于会群
WANG Yu,PENG Daogang,YAO Jun,YU Huiqun

DOI: 10.19585/j.zjdl.201902006

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