田壁源,徐海奇,张新燕,常喜强,马 涛.考虑电价激励需求响应下微电网日前优化调度方法[J].电力需求侧管理,2020,22(6):45-50 |
考虑电价激励需求响应下微电网日前优化调度方法 |
Day⁃ahead optimal dispatching method of microgrid considering electricity price incentive demand response |
投稿时间:2020-02-15 修订日期:2020-06-23 |
DOI:10. 3969 / j. issn. 1009-1831. 2020. 06. 010 |
中文关键词: 需求响应 微电网 Pareto支配法 多目标引力搜索算法 |
英文关键词: demand response micro ⁃ grid Pareto dominating method multi⁃objective gravitation search algorithm |
基金项目:国家自然科学基金(51667018 & 51367015) |
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中文摘要: |
针对风电和光伏出力时较大的波动性使微电网难以保持供需平衡问题,在考虑电价与负荷响应量相关性的基础上,建立了以微电网综合运行成本最低、风光消纳比例最高和用户满意度最好为目标的日前最优调度模型。该模型以微电网负荷、风速及太阳辐射为不确定参数,在分时电价基础上以响应补偿为信号引导网内用户参与需求响应,并采用基于Pareto支配法的多目标引力搜索算法对该优化问题进行求解,验证了该算法求解此类问题的可行性和精确性。仿真结果表明,该策略能有效改善高渗透率分布式能源并网对系统的影响,具有较好的削峰填谷作用。 |
英文摘要: |
The high volatility of wind power and photo voltaic output makes it difficult for micro-grid to maintain a balance between supply and demand. Based on the consideration of the correlation between electricity price and load response, a day ahead optimal scheduling model is established, which aims at the lowest operation cost, the highest proportion of wind and solar energy consumption and the best customer satisfaction of micro -grid. The model takes the load, the wind speed and the solar radiation of micro-grid as the uncertain parameters, and uses the response compensation as the signal to guide the users to participate in the demand response based on the time-of-use price. The multi-objective gravitation search algorithm based on Pareto dominating method is used to solve the optimization problem, which proves the feasibility and accuracy of the algorithm to solve such problems. The results show that this strategy can effectively improve the impact of high permeability distributed generation connection on the system, and has a good effect of peak cutting and valley filling. |
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