考虑综合需求响应的多能源微能网优化协同调度
Optimal Cooperative Scheduling in Multi-Energy Micro-Energy-System Considering Comprehensive Demand Response
摘要:
多能源微能网优化运行可以促进不同能源形式相互融合和降低能源生产成本,因此多能源微能网成为当今能源系统发展的主要方向。本文研究了微能网中不同能源的协同调度问题,考虑将冷热负荷和电负荷的综合需求响应作为优化运行调节手段,建立了以微能网的运行费用、综合能源效率以及可再生能源消耗量为目标的多目标微能网优化调度模型,并采用一种改进的遗传算法求解模型。通过不同运行场景下微能网的协同调度算例,表明了CCHP和综合需求响应对提高多能源微能网的综合能源利用效率和供能可靠性具有重要作用,算例验证了模型和方法的可行性。
Abstract:
The optimal cooperative scheduling of multi-energy micro energy system can promote the inte-gration of different energy forms and reduce energy production costs. Therefore, multi-energy micro energy system has become the main direction of energy system development. In this paper, the coordinated scheduling problem of different energy sources in micro energy system is studied. Considering the comprehensive demand response of thermal and cold loads and electrical loads as the means of optimal operation and regulation, a multi-objective micro energy system optimal scheduling model is established, which aims at the operation cost, comprehensive energy utilization efficiency and renewable energy consumption of micro energy system, and an improved genetic algorithm is used to solve the model. The paper takes the example of cooperative scheduling in different operation cases of micro energy network. The results show that CCHP and comprehensive demand response play an important role in improving the comprehensive energy utilization efficiency and energy supply reliability of the multi energy micro energy system. The feasibility of the model and method is verified by the examples.
参考文献
|
[1]
|
贾宏杰, 穆云飞, 余晓丹. 对我国综合能源系统发展的思考[J]. 电力建设, 2015, 36(1): 16-25.
|
|
[2]
|
田世明, 栾文鹏, 张东霞, 等. 能源互联网技术形态与关键技术[J]. 中国电机工程学报, 2015, 35(14): 3482-3494.
|
|
[3]
|
张峰. 城市主动配电网购“源–网–荷”协同优化调度模式研究[J]. 科技展望, 2016(34): 18.
|
|
[4]
|
王珂, 郭晓蕊, 周竞, 等. 智能电网“源–荷”协同调度框架及实现[J]. 电网技术, 2018, 42(8): 2637-2644.
|
|
[5]
|
Trigeneration/CCHP. https://www.clarke-energy.com/gas-engines/trigeneration
|
|
[6]
|
党东升, 韩松, 周珏, 等. 需求响应参与系统调峰研究综述[J]. 电力需求侧管理, 2017, 19(5): 13-17.
|
|
[7]
|
闫华光, 陈宋宋, 李世豪, 等. 需求响应发展现状及趋势研究[J]. 供用电, 2017(3): 1-7.
|
|
[8]
|
曾鸣, 韩旭, 李冉, 等. 能源互联网系统供需双侧多能协同优化策略及其求解算法[J]. 2017, 41(2): 409-417.
|
|
[9]
|
刘小聪, 王蓓蓓, 李扬, 等. 智能电网下计及用户侧互动的发电日前调度计划模型[J]. 2013, 33(1): 30-38.
|