电力系统保护与控制2017，Vol.45Issue(17)：18-25,8.DOI:10.7667/PSPC161442
考虑可再生能源消纳效益的电力系统"源—荷—储"协调互动优化调度策略
Optimization dispatch strategy considering renewable energy consumptive benefits based on "source-load-energy storage" coordination in power system
摘要
Abstract
In order to increase the accommodation rate of renewable energy and cut the system operation cost, this paper takes "source-load-energy storage" coordination as an important mean to improve the system operation economy and the accommodation rate of renewable energy. Then, an optimization dispatch model based on "source-load-energy storage" coordination which considers thermal units, energy storage device and demand response as dispatching resources is established. The objective of this model including the operation costs of thermal units, the costs of demand response and the benefits from renewable energy consumption. Based on the different characteristics of the decision variables, a two-stage optimal algorithm is proposed. The first stage algorithm uses binary particle swarm optimization algorithm to minimize the start costs of thermal units, costs of wind power and photovoltaic curtailment and costs of demand response; the second stage uses double layer continuous particle swarm optimization algorithm to minimize the fuel costs of thermal units. The simulation results verify the validity of the proposed optimization dispatch strategy.关键词
"源—荷—储"协调互动/需求响应/粒子群算法/优化调度Key words
"source-load-energy storage" coordination/demand response/particle swarm optimization algorithm/optimization dispatch引用本文复制引用
许汉平,李姚旺,苗世洪,罗纯坚,徐秋实..考虑可再生能源消纳效益的电力系统"源—荷—储"协调互动优化调度策略[J].电力系统保护与控制,2017,45(17):18-25,8.基金项目
国网湖北省电力公司科技项目(52153815000D) （52153815000D）
