计及需求响应的含风电场多目标低碳经济调度  

Multi-objective Low-carbon Economic Dispatching for Power Grid Integrated with Wind Farm by Considering Demand Response

作　　者：宋云东[1] 周志强[2] 应勇[1] 张远博 刘旭[3] SONG Yundong ZHOU Zhiqiang YING Yong ZHANG Yuanbo LIU Xu(Electric Power Research Institute Liaoning Electric Power Company Limited, Shenyang 110006, China Liaoning Provincial Electric Power Co. Ltd, Shenyang 110006, China School of Electrical Engineering, Northeast Dianli University, Jilin 132012, China)

机构地区：[1]辽宁省电力有限公司电力科学研究院,辽宁沈阳110006 [2]辽宁省电力有限公司,辽宁沈阳110006 [3]东北电力大学电气工程学院,吉林省吉林市132012

出　　处：《现代电力》2016年第6期7-13,共7页Modern Electric Power

摘　　要：综合考虑发电成本、碳排放量和用户满意度,建立计及需求响应的含风电场多目标低碳经济调度模型。该模型采用随机规划理论描述风电出力的不确定性,并应用风电出力分布函数将其转化为等价的确定性模型;通过优化需求侧资源来调整次日的负荷曲线,以提高系统负荷率和风电消纳能力;引入用户满意度约束,保证调度方案使用户满意;将源荷侧资源整合统一调度来适应大规模风电并网和满足系统节能减排的要求。在人工鱼群算法搜索过程中结合禁忌搜索思想,并引入多目标搜索机制,提出了一种多目标改进鱼群算法对模型求解。采用逼近理想解排序法对帕累托前沿个体排序,辅助决策者确定最佳的调度方案。算例仿真结果验证了所提模型的合理性和算法的有效性。By combining the generation cost,carbon emis-sions and customers’ satisfaction, the multi-objective and low-carbon economic dispatch model for power grid inte-grated with wind farm is built by considering demand re-sponse.The stochastic programming theory is used in this model to describe the uncertainty of the wind power,and the model is converted to an equivalent deterministic model by using distribution function of wind power output.In addi-tion,the load curve of next day is adjusted by optimizing de-mand side resources to improve load rate and absorptive ca-pacity of wind power.Furthermore,customers’satisfaction constraint is introduced to ensure that the scheduling scheme satisfies customer.And the resources of source and load can be unified coordinated to meet the requirements of the ap-plication of large-scale grid-connected wind farm,the ener-gy-saving and emission-reduction.Through introducing tabu search and more targeted search mechanism in searching process of artificial fish swarm algorithm,a multi-objective improved artificial fish swarm algorithm is proposed to solve this model by introducing multi-objective searching mecha-nism.And by using the technique for order preference by similarity to ideal solution （TOPSIS）to sort the Pareto fron-tier,the optimal scheduling scheme is determined.In the end,simulation results verify the rationality and validity of the proposed model and algorithm.

关 键 词：机会约束规划 需求响应 多目标优化 分时电价 用户满意度 低碳经济调度 

分 类 号：TM612[电气工程—电力系统及自动化]