建立风光互补优化配置从可实现性评价至优化配置决策全过程的优化配置模型。模型基于源-荷匹配思想,建立风光联合出力的负荷匹配度指标;考虑并网导致的新增调峰需求、新能源发电的降碳收益、弃电惩罚成本,构建风光联合出力的平均度电成本模型。以负荷匹配度最大和平均度电成本最小为优化目标,采用NSGA-Ⅱ算法对风光装机容量配置进行优化,引入COWA算子,采用博弈论方法确定指标权重对优化解集进行进一步优选以辅助决策。以某地区为算例,求解验证模型的有效性,所建模型适用于区域电网和微网的规划建设,通过优化的风光装机容量配置,能够提高新能源出力对负荷的匹配程度,降低平均度电成本。
Abstract
In this paper, the optimal allocation model of the whole process from the feasibility evaluation to the optimal allocation decision is established. Based on the source-load matching idea, the model establishes the load matching index of wind-solar combined output; considering the new peak shaving demand caused by grid connection, the carbon reduction benefit of renewable energy power generation, and the penalty cost of electricity abandonment, the average power cost model of wind-solar combined output is constructed. Taking the maximum load matching degree and the minimum average power cost as the optimization objectives, the NSGA-Ⅱ algorithm is used to optimize the capacity allocation of wind and solar installation. The COWA operator is introduced and the game theory method is used to determine the index weight to further optimize the optimization solution set to assist decision making. This paper takes a certain region as an example to verify the validity of the model. The model is suitable for the planning and construction of regional power grid and micro-grid. By optimizing the capacity configuration of wind and solar installation, the matching degree of renewable energy output to load can be improved, and the average power cost can be reduced.
关键词
太阳能 /
风能 /
多目标优化 /
风光互补 /
成本核算
Key words
solar energy /
wind power /
multi-objective optimization /
wind and solar complementarity /
cost accounting
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基金
国家电网有限公司科技项目《平价时代新能源经济开发规模评价关键技术及应用研究》（4000-202157059A-0-0-00）
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