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华北电力大学电气与电子工程学院,北京市 102206
Received:24 April 2020,
Revised:2020-07-17,
Published Online:14 October 2020,
Published:10 December 2020
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黄伟,刘文彬.基于多能互补的园区综合能源站-网协同优化规划[J].电力系统自动化,2020,44(23):20-28.
HUANG Wei,LIU Wenbin.Multi-energy Complementary Based Coordinated Optimal Planning of Park Integrated Energy Station-Network[J].Automation of Electric Power Systems,2020,44(23):20-28.
黄伟,刘文彬.基于多能互补的园区综合能源站-网协同优化规划[J].电力系统自动化,2020,44(23):20-28. DOI: 10.7500/AEPS20200424002.
HUANG Wei,LIU Wenbin.Multi-energy Complementary Based Coordinated Optimal Planning of Park Integrated Energy Station-Network[J].Automation of Electric Power Systems,2020,44(23):20-28. DOI: 10.7500/AEPS20200424002.
为了提高综合能源站的能源利用率,从站-网整体规划的角度出发,对能源站数量、位置和设备容量配置,供能网络布局进行统一规划研究,基于电、热、冷多能互补特性提出了一种园区综合能源站-网双层规划优化模型。上层以综合能距最小为目标,基于推广
p
-中位模型建立了能源站-网协同投资模型,下层充分考虑能源站内多能流耦合和站间网络的多能协调,建立多能源站规划运行联合优化模型。采用基于最短路径理论的枚举法结合Cplex求解器求解,规划了能源在时空上的转移,解决了传统规划时负荷分配不均、峰谷需求不平衡的问题,算例表明所提模型具有实用性,对园区综合能源规划建设具有指导意义。
In order to improve the energy efficiency of integrated energy stations
from the perspective of the overall planning of the integrated energy station-network
the number
location and equipment configuration of the energy stations
as well as the layout of the energy supply network are planned and studied together. Based on the multi-energy complementary characteristics of electricity
heat and cooling
an optimization model of bi-level planning for the park integrated energy station-network is proposed. The upper layer takes the minimum of integrated energy distance as the objective
and establishes the collaborative investment model of the energy station-network based on the extended
p
-median model. The lower layer fully considers the multi-energy flow coupling in the energy station and the multi-energy coordination between the stations. It establishes the joint optimization model of planning and operation in multi-energy stations. The enumeration method based on the shortest path theory combined with Cplex solution is used to plan the energy transfer on time and space
which solves the problems of uneven load distribution and unbalanced peak valley demand in the traditional planning. Case studies demonstrate that the proposed model has practicability and guiding significance for the planning and construction of park integrated energy systems.
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