• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

电力建设 ›› 2020, Vol. 41 ›› Issue (7): 92-99.doi: 10.12204/j.issn.1000-7229.2020.07.012

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考虑综合需求侧响应的区域综合能源系统多目标优化调度

魏震波, 任小林,黄宇涵   

  1. 四川大学电气工程学院,成都市 610065
  • 出版日期:2020-07-01
  • 作者简介:魏震波(1978),男,博士,副教授,主要研究方向为复杂系统及其理论、电力系统安全稳定分析与控制及电力市场; 任小林(1993),男,硕士研究生,通信作者,主要研究方向为综合能源系统; 黄宇涵(1995),男,硕士研究生,主要研究方向为综合能源系统。

Multi-Objective Optimal Dispatch for Integrated Energy System Considering Integrated Demand Response

WEI Zhenbo, REN Xiaolin, HUANG Yuhan   

  1. School of Electrical Engineering, Sichuan University, Chengdu 610065, China
  • Online:2020-07-01

摘要: 为兼顾区域综合能源系统(regional integrated energy system,RIES)中能耗成本、污染排放、风电消纳等多个调度目标,建立了考虑综合需求响应的RIES多目标优化模型。首先,对含电转气、储能系统、热电联产机组等设备的RIES建模,并在区域内引入了具体考虑削减负荷、转移负荷和替代负荷的综合需求响应,旨在削减系统负荷峰谷差。然后,分别建立了以系统用能成本、弃风功率和污染物治理成本最小的目标函数,采用多目标优化方法——以模糊加权规划遍历权值求解帕累托前沿,再根据证据推理决策方法寻找最优调度策略。最后基于典型算例研究,结果表明了所提多目标优化算法能有效在多个调度目标间做出权衡,考虑综合需求响应的RIES在总能耗、环境友好和风电消纳等方面更具优势。

关键词: 区域综合能源系统(RIES), 多目标优化调度, 综合需求侧响应, 帕累托前沿

Abstract: In order to reconcile several dispatch objectives such as the cost of energy consumptions, pollutant emissions and wind power accommodation in the integrated energy system, the multi-objective optimal dispatch model of the integrated energy system considering integrated demand response is established in this paper. Firstly, the modeling of the regional integrated energy system including some devices such as power to gas, energy storage, and combined heat and power units is elaborated, and the modeling of the integrated demand response which consists of load shedding, load shifting, and load substituting is also considered in the system to decrease peak-valley difference. Secondly, the objectives that are respectively to minimize the comprehensive cost, wind power curtailment, and cost of pollutant treatment are established. The proposed multi-objective optimization method, which firstly utilizes multi-objective weighted fuzzy programming to obtain the Pareto front, and then pursue the minimum Euclidean distance between all the Pareto non-inferior solution and the ideal solution, is adopted to solve the optimal dispatch strategy. Finally, on the basis of the typical numerical simulations, the results demonstrate that the proposed multi-objective optimization algorithm can effectively balance the multiple dispatch objectives. The integrated energy system would have more advantages in the gross energy consumptions, environment, and the wind power accommodation after considering the integrated demand response.

Key words: regional integrated energy system(RIES), multi-objective optimal dispatch, integrated demand response, Pareto front

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